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latest/genindex.html | 2 +- latest/py-modindex.html | 2 +- latest/search.html | 2 +- latest/searchindex.js | 2 +- 750 files changed, 788 insertions(+), 752 deletions(-) diff --git a/latest/_sources/autoapi/neural_compressor/torch/algorithms/base_algorithm/index.rst.txt b/latest/_sources/autoapi/neural_compressor/torch/algorithms/base_algorithm/index.rst.txt index a1d2d7eb4cd..7eef90d4b77 100644 --- a/latest/_sources/autoapi/neural_compressor/torch/algorithms/base_algorithm/index.rst.txt +++ b/latest/_sources/autoapi/neural_compressor/torch/algorithms/base_algorithm/index.rst.txt @@ -19,11 +19,19 @@ Classes -.. py:class:: Quantizer(tune_cfg: collections.OrderedDict = {}) +.. py:class:: Quantizer(quant_config: Optional[Any] = None) The base quantizer for all algorithm quantizers. + The `Quantizer` unifies the interfaces across various quantization algorithms, including GPTQ, RTN, etc. + Given a float model, `Quantizer` apply the quantization algorithm to the model according to the `quant_config`. + + To implement a new quantization algorithm,, inherit from `Quantizer` and implement the following methods: + - `prepare`: prepare a given model for convert. + - `convert`: convert a prepared model to a quantized model. + Note: `quantize` and `execute` are optional for new quantization algorithms. + diff --git a/latest/_sources/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.rst.txt b/latest/_sources/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.rst.txt index 6f4ca6aba52..77ebe1ee553 100644 --- a/latest/_sources/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.rst.txt +++ b/latest/_sources/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.rst.txt @@ -19,11 +19,19 @@ Classes -.. py:class:: StaticQuantQuantizer(tune_cfg: collections.OrderedDict = {}) +.. py:class:: StaticQuantQuantizer(quant_config: collections.OrderedDict = {}) The base quantizer for all algorithm quantizers. + The `Quantizer` unifies the interfaces across various quantization algorithms, including GPTQ, RTN, etc. + Given a float model, `Quantizer` apply the quantization algorithm to the model according to the `quant_config`. + + To implement a new quantization algorithm,, inherit from `Quantizer` and implement the following methods: + - `prepare`: prepare a given model for convert. + - `convert`: convert a prepared model to a quantized model. + Note: `quantize` and `execute` are optional for new quantization algorithms. + diff --git a/latest/autoapi/block_mask/index.html b/latest/autoapi/block_mask/index.html index abaccf20c8c..982cf46745a 100644 --- a/latest/autoapi/block_mask/index.html +++ b/latest/autoapi/block_mask/index.html @@ -107,7 +107,7 @@ Built with Sphinx using a theme provided by Read the Docs. - +

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Classes
-class neural_compressor.torch.algorithms.base_algorithm.Quantizer(tune_cfg: collections.OrderedDict = {})[source]
+class neural_compressor.torch.algorithms.base_algorithm.Quantizer(quant_config: Any | None = None)[source]

The base quantizer for all algorithm quantizers.

+

The Quantizer unifies the interfaces across various quantization algorithms, including GPTQ, RTN, etc. +Given a float model, Quantizer apply the quantization algorithm to the model according to the quant_config.

+
+
To implement a new quantization algorithm,, inherit from Quantizer and implement the following methods:
    +

  • prepare: prepare a given model for convert.

    • +

  • convert: convert a prepared model to a quantized model.

    • +
+
+
+

Note: quantize and execute are optional for new quantization algorithms.

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FunctionsSphinx using a theme provided by Read the Docs. - +

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Module ContentsSphinx using a theme provided by Read the Docs. - +

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FunctionsSphinx using a theme provided by Read the Docs. - +

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FunctionsSphinx using a theme provided by Read the Docs. - +

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FunctionsSphinx using a theme provided by Read the Docs. - +

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FunctionsSphinx using a theme provided by Read the Docs. - +

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diff --git a/latest/autoapi/neural_compressor/torch/algorithms/static_quant/save_load/index.html b/latest/autoapi/neural_compressor/torch/algorithms/static_quant/save_load/index.html index 96153abd06b..89e05c653b8 100644 --- a/latest/autoapi/neural_compressor/torch/algorithms/static_quant/save_load/index.html +++ b/latest/autoapi/neural_compressor/torch/algorithms/static_quant/save_load/index.html @@ -106,7 +106,7 @@ Built with Sphinx using a theme provided by Read the Docs. - +

diff --git a/latest/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.html b/latest/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.html index ee0f4ab8552..d4d2f634016 100644 --- a/latest/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.html +++ b/latest/autoapi/neural_compressor/torch/algorithms/static_quant/static_quant/index.html @@ -103,8 +103,18 @@

Classes
-class neural_compressor.torch.algorithms.static_quant.static_quant.StaticQuantQuantizer(tune_cfg: collections.OrderedDict = {})[source]
+class neural_compressor.torch.algorithms.static_quant.static_quant.StaticQuantQuantizer(quant_config: collections.OrderedDict = {})[source]

The base quantizer for all algorithm quantizers.

+

The Quantizer unifies the interfaces across various quantization algorithms, including GPTQ, RTN, etc. +Given a float model, Quantizer apply the quantization algorithm to the model according to the quant_config.

+
+
To implement a new quantization algorithm,, inherit from Quantizer and implement the following methods:
    +

  • prepare: prepare a given model for convert.

    • +

  • convert: convert a prepared model to a quantized model.

    • +
+
+
+

Note: quantize and execute are optional for new quantization algorithms.

@@ -125,7 +135,7 @@

ClassesSphinx using a theme provided by Read the Docs. - +

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FunctionsSphinx using a theme provided by Read the Docs. - +

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305, 306, 308, 309, 310, 311, 313, 314, 316, 317, 318, 320, 322, 323, 324, 326, 327, 328, 329, 330, 332, 333, 334, 335, 338, 340, 343, 344, 345, 346, 347, 348, 352, 358, 362, 364, 366, 367, 369, 370, 371, 373, 374, 378, 382, 384, 386, 391, 392, 394, 395, 398, 405, 422, 427, 428, 432, 440, 444, 446, 447, 450, 453, 469, 473, 493, 494, 496, 512, 537, 553, 566, 571, 573, 584, 586, 590, 591, 592, 596, 597, 598, 599, 608, 611, 613, 614, 624, 625, 629, 630, 633, 636, 637, 638, 640, 641, 647, 652, 671, 672, 675, 677, 684, 688, 689, 703, 709, 710, 711, 712, 717, 722, 723, 728, 731, 732, 734, 736, 737, 739, 740, 742], "framework_specific_info": [1, 3, 11, 14, 45, 47, 455, 456, 651], "base": [1, 13, 16, 34, 46, 47, 86, 105, 116, 120, 122, 132, 144, 153, 156, 162, 165, 173, 179, 188, 195, 196, 197, 198, 200, 206, 213, 220, 222, 232, 237, 240, 245, 247, 249, 256, 264, 274, 280, 283, 288, 290, 292, 299, 305, 320, 326, 328, 334, 335, 338, 340, 345, 355, 358, 362, 373, 375, 382, 383, 384, 391, 399, 437, 440, 444, 456, 512, 537, 541, 543, 553, 562, 568, 571, 574, 585, 595, 596, 621, 648, 650, 651, 652, 653, 670, 672, 676, 677, 681, 689, 690, 697, 698, 700, 709, 712, 717, 720, 723, 724, 728, 729, 731, 734, 736, 737, 738, 740, 743], "framework": [1, 3, 11, 13, 14, 45, 178, 179, 189, 191, 200, 206, 210, 213, 217, 218, 219, 233, 234, 238, 239, 243, 246, 247, 248, 249, 250, 251, 252, 253, 254, 256, 258, 261, 264, 266, 267, 271, 276, 277, 281, 282, 284, 286, 289, 290, 291, 292, 293, 294, 295, 296, 297, 299, 301, 303, 305, 311, 320, 321, 348, 356, 362, 373, 374, 375, 376, 378, 438, 444, 455, 467, 633, 650, 651, 653, 669, 670, 674, 677, 678, 682, 683, 684, 685, 688, 689, 690, 711, 712, 728, 729, 731, 735, 738, 739, 740, 741, 742, 743], "layer": [1, 3, 11, 14, 46, 47, 116, 117, 118, 119, 121, 122, 152, 155, 157, 159, 170, 171, 172, 176, 189, 192, 201, 203, 204, 205, 209, 214, 223, 226, 227, 231, 232, 266, 273, 343, 344, 386, 392, 394, 455, 456, 537, 538, 539, 540, 542, 543, 573, 583, 586, 592, 599, 611, 631, 633, 641, 650, 651, 652, 653, 676, 684, 712, 728, 734, 735, 741], "mxnet_util": 2, "util": [2, 12, 17, 105, 110, 111, 139, 142, 151, 153, 154, 155, 163, 179, 190, 197, 200, 224, 231, 232, 273, 312, 314, 344, 354, 365, 367, 386, 388, 389, 391, 392, 394, 400, 420, 425, 436, 469, 470, 473, 582, 583, 621, 652, 653, 654, 669, 670, 677, 689, 692, 712, 728, 731, 740, 741], "ox_util": 2, "oper": [2, 17, 43, 104, 110, 140, 148, 203, 204, 209, 227, 231, 232, 260, 302, 343, 422, 427, 450, 531, 566, 647, 668, 671, 674, 679, 709, 715, 728, 731, 734, 737, 739, 740], "activ": [2, 17, 29, 44, 141, 150, 165, 172, 192, 231, 232, 273, 362, 391, 444, 446, 453, 596, 598, 651, 652, 653, 669, 674, 676, 681, 689, 710, 711, 714, 722, 723, 724, 730, 731, 734, 737, 738, 742], "argmax": [2, 17, 29], "attent": [2, 17, 29, 162, 201, 203, 214, 231, 232, 247, 290, 596, 645, 675, 728], "binary_op": [2, 17, 29], "concat": [2, 17, 29, 147, 565], "conv": [2, 17, 29, 58, 62, 66, 71, 72, 73, 92, 109, 176, 231, 232, 400, 484, 488, 492, 497, 498, 499, 518, 530, 647, 652, 653, 689, 728, 730, 731, 740], "direct_q8": [2, 17, 29], "embed_layernorm": [2, 17, 29], "gather": [2, 13, 17, 29, 231, 232, 343], "gavgpool": [2, 17, 29], "gemm": [2, 17, 29, 231, 232, 400], "lstm": [2, 17, 29], "matmul": [2, 17, 29, 44, 53, 59, 65, 73, 94, 109, 128, 137, 209, 231, 232, 343, 391, 392, 394, 395, 400, 471, 479, 485, 491, 499, 520, 530, 549, 558, 681, 712, 734, 740], "maxpool": [2, 17, 29, 129, 138, 550, 559, 681], "norm": [2, 17, 29], "op": [2, 13, 17, 29, 45, 51, 53, 65, 66, 67, 68, 69, 70, 71, 72, 74, 78, 81, 85, 88, 91, 92, 93, 94, 96, 105, 107, 109, 123, 124, 125, 131, 133, 134, 135, 136, 141, 143, 146, 148, 151, 153, 163, 165, 172, 176, 203, 231, 232, 310, 355, 362, 363, 422, 427, 433, 435, 437, 444, 445, 446, 453, 477, 479, 491, 492, 493, 494, 495, 496, 497, 498, 500, 504, 507, 511, 514, 517, 518, 519, 520, 522, 528, 530, 544, 545, 546, 552, 554, 555, 556, 557, 561, 564, 566, 591, 592, 596, 613, 614, 629, 635, 641, 650, 651, 652, 653, 674, 681, 689, 690, 713, 714, 728, 731, 733, 735, 737, 738, 740, 742], "pad": [2, 17, 29, 44, 71, 72, 247, 264, 290, 305, 395, 497, 498, 672, 739], "pool": [2, 17, 29, 719], "reduc": [2, 17, 29, 231, 232, 651, 669, 676, 689, 690, 709, 710, 728, 729, 731, 732, 733, 734, 737, 740, 742], "resiz": [2, 17, 29, 247, 248, 260, 264, 290, 291, 302, 305, 672, 739], "split": [2, 17, 29, 43, 82, 172, 263, 264, 304, 305, 508, 598, 611, 647, 732, 734, 737, 739], "unary_op": [2, 17, 29], "calibr": [2, 11, 13, 14, 17, 44, 49, 89, 90, 140, 165, 172, 178, 231, 232, 235, 236, 278, 279, 311, 348, 386, 389, 390, 391, 392, 395, 397, 398, 428, 452, 469, 473, 475, 515, 516, 591, 597, 598, 613, 624, 635, 651, 653, 672, 683, 684, 728, 731, 734, 740, 741, 742], "quantiz": [2, 11, 13, 14, 16, 17, 42, 43, 44, 48, 49, 88, 92, 94, 96, 99, 107, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 150, 151, 152, 153, 154, 155, 159, 160, 161, 164, 165, 170, 172, 176, 178, 180, 185, 188, 231, 232, 235, 236, 260, 267, 274, 278, 279, 302, 310, 311, 312, 322, 349, 355, 361, 365, 386, 388, 389, 391, 392, 394, 395, 405, 433, 435, 437, 446, 450, 451, 453, 455, 456, 574, 583, 586, 590, 591, 592, 595, 596, 597, 598, 599, 606, 610, 611, 612, 613, 630, 631, 635, 636, 640, 641, 651, 658, 670, 671, 672, 677, 678, 681, 683, 684, 688, 691, 692, 697, 699, 700, 703, 716, 718, 719, 721, 727, 729, 735, 738, 739, 740, 741, 742], "smooth_quant": [2, 17, 157, 165, 175, 231, 232, 365, 596, 670, 731, 737], "weight_onli": [2, 17, 232, 640, 650, 670, 732, 734], "tf_util": 2, "graph_rewrit": [2, 111], "bf16": [2, 44, 87, 111, 151, 231, 232, 362, 391, 392, 394, 395, 444, 513, 651, 652, 681, 689, 694, 699, 703, 709, 733, 740, 743], "gener": [2, 13, 48, 49, 87, 111, 122, 148, 152, 165, 178, 182, 203, 223, 235, 236, 237, 246, 249, 250, 251, 252, 264, 278, 279, 280, 289, 292, 293, 294, 295, 305, 313, 321, 352, 366, 374, 400, 423, 428, 432, 447, 467, 471, 474, 475, 513, 543, 566, 568, 592, 596, 599, 621, 629, 630, 646, 647, 651, 653, 671, 675, 688, 689, 690, 692, 697, 702, 704, 706, 707, 709, 711, 712, 726, 728, 729, 731, 733, 734, 737, 738, 739, 740], "int8": [2, 18, 19, 43, 44, 87, 111, 123, 124, 125, 131, 133, 134, 135, 136, 143, 148, 172, 177, 178, 231, 232, 260, 302, 308, 309, 310, 362, 364, 391, 392, 394, 395, 405, 444, 446, 467, 471, 513, 544, 545, 546, 552, 554, 555, 556, 557, 561, 566, 613, 640, 641, 646, 647, 650, 651, 652, 653, 668, 672, 676, 681, 687, 689, 690, 694, 697, 699, 700, 703, 709, 712, 714, 729, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742], "onnx": [2, 14, 15, 16, 29, 41, 43, 44, 87, 111, 142, 176, 231, 232, 243, 286, 308, 309, 310, 374, 381, 386, 389, 391, 392, 394, 395, 397, 398, 404, 405, 422, 639, 646, 650, 651, 652, 654, 671, 674, 678, 679, 681, 682, 684, 690, 691, 694, 699, 700, 712, 729, 730, 734, 735, 737, 740], "qdq": [2, 42, 87, 111, 112, 113, 142, 165, 172, 231, 232, 308, 309, 310, 455, 513, 532, 533, 534, 613, 651, 674, 679, 684, 699, 700, 731, 735, 737], "graph_bas": [2, 87, 111, 513], "quantize_graph": [2, 111, 532], "qat": [2, 111, 112, 163, 232, 322, 382, 532, 533, 571, 676, 677, 684, 689, 731], "quantize_graph_bas": [2, 111, 112, 532, 533], "quantize_graph_bn": [2, 111, 112, 532, 533], "quantize_graph_concatv2": [2, 111, 112, 532, 533], "quantize_graph_conv": [2, 111, 112, 532, 533], "quantize_graph_for_intel_cpu": [2, 111, 112, 532, 533], "quantize_graph_matmul": [2, 111, 112, 532, 533], "quantize_graph_pool": [2, 111, 112, 532, 533], "transform_graph": [2, 111, 532], "bias_correct": [2, 111, 145, 532, 563], "graph_transform_bas": [2, 111, 145, 532, 563], "insert_log": [2, 111, 145, 532, 563], "rerange_quantized_concat": [2, 111, 145, 532, 563], "graph_convert": [2, 111, 532], "graph_converter_without_calib": [2, 111, 532], "graph_util": [2, 111, 532], "quantize_graph_common": [2, 111, 532], "smooth_quant_calibr": [2, 111], "smooth_quant_scal": [2, 111], "tf2onnx_convert": [2, 111], "torch_util": [2, 268, 312, 365, 650, 732, 737], "layer_wise_qu": [2, 154, 232, 386, 400, 732], "modified_pickl": [2, 154, 155, 582, 583], "torch_load": [2, 154, 155], "bf16_convert": [2, 52, 87, 111, 154, 478, 513], "hawq_metr": [2, 154], "model_wrapp": [2, 15, 154, 569], "pattern_detector": [2, 154], "symbolic_trac": [2, 154], "tensorflow": [2, 52, 54, 75, 76, 77, 87, 95, 101, 102, 103, 104, 105, 106, 110, 111, 112, 114, 117, 130, 140, 141, 142, 145, 148, 189, 191, 222, 231, 232, 246, 247, 248, 249, 252, 254, 256, 264, 271, 289, 290, 291, 292, 295, 297, 299, 305, 309, 310, 311, 314, 316, 320, 321, 322, 348, 356, 367, 369, 373, 374, 382, 421, 422, 426, 427, 428, 438, 641, 646, 648, 650, 651, 652, 669, 670, 671, 674, 675, 676, 678, 681, 682, 684, 685, 689, 690, 691, 699, 700, 711, 714, 728, 729, 730, 736, 737, 740, 742], "kerasadaptor": [3, 455], "mxnetadaptor": 11, "do": [11, 14, 152, 188, 219, 231, 232, 246, 247, 289, 290, 306, 310, 313, 316, 346, 366, 369, 590, 599, 640, 645, 652, 670, 672, 677, 681, 684, 688, 689, 704, 707, 728, 733, 735, 737, 740], "inspect": [11, 14, 735, 738], "tensor": [11, 13, 14, 15, 16, 43, 44, 70, 105, 140, 148, 153, 158, 159, 165, 172, 198, 200, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 220, 222, 232, 264, 305, 308, 310, 343, 345, 355, 382, 395, 437, 450, 496, 566, 571, 573, 584, 586, 590, 592, 596, 613, 614, 624, 636, 640, 641, 647, 653, 670, 671, 672, 674, 728, 731, 735, 738, 739, 740], "dict": [11, 13, 14, 44, 45, 116, 148, 151, 152, 153, 158, 165, 172, 173, 178, 186, 191, 195, 198, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 226, 228, 229, 231, 232, 235, 236, 246, 265, 271, 278, 279, 289, 308, 310, 315, 316, 317, 318, 320, 323, 326, 327, 328, 335, 338, 340, 343, 344, 345, 346, 347, 352, 355, 361, 364, 368, 369, 370, 371, 373, 374, 382, 386, 391, 392, 394, 400, 428, 443, 446, 447, 456, 467, 471, 537, 566, 571, 573, 584, 590, 592, 596, 597, 598, 599, 611, 613, 619, 630, 631, 633, 640, 641, 647, 652, 670, 679, 688, 728, 730, 731, 737, 738, 740], "specif": [11, 14, 42, 46, 104, 116, 172, 178, 179, 191, 223, 227, 231, 232, 247, 248, 249, 250, 254, 256, 271, 290, 291, 292, 293, 297, 299, 329, 330, 332, 333, 334, 373, 428, 537, 568, 611, 614, 638, 645, 648, 651, 652, 669, 670, 671, 674, 675, 681, 683, 687, 688, 689, 690, 691, 692, 696, 697, 699, 703, 709, 711, 717, 726, 728, 730, 734, 740, 742], "configur": [11, 13, 14, 45, 118, 151, 165, 172, 178, 179, 223, 228, 231, 232, 235, 236, 238, 249, 252, 265, 270, 278, 279, 292, 295, 306, 310, 311, 322, 323, 324, 326, 335, 340, 344, 348, 349, 355, 373, 374, 384, 428, 437, 446, 469, 473, 539, 590, 592, 596, 597, 611, 624, 630, 632, 633, 639, 640, 647, 648, 651, 652, 672, 674, 689, 696, 710, 717, 722, 723, 724, 726, 728, 731, 734, 735, 737, 739, 740, 743], "mxnet": [12, 13, 16, 232, 242, 246, 249, 252, 256, 264, 285, 289, 292, 295, 299, 305, 311, 320, 348, 373, 374, 379, 428, 646, 650, 651, 652, 669, 671, 678, 681, 684, 689, 690, 691, 730, 740, 742], "init": [12, 17, 42, 175, 190, 200, 202, 224, 672, 688, 740], "optyp": [13, 231, 232, 308, 652], "enum": 13, "type": [13, 16, 42, 43, 44, 45, 74, 96, 105, 116, 122, 132, 140, 148, 151, 152, 153, 158, 165, 172, 173, 182, 186, 189, 191, 195, 196, 199, 203, 204, 205, 210, 219, 220, 221, 223, 226, 229, 231, 232, 245, 247, 249, 256, 264, 266, 271, 288, 290, 292, 299, 305, 310, 313, 314, 316, 320, 327, 334, 338, 343, 345, 347, 352, 358, 362, 364, 366, 367, 369, 373, 382, 384, 386, 391, 392, 394, 395, 405, 432, 433, 440, 444, 446, 447, 450, 469, 473, 500, 522, 537, 543, 553, 566, 571, 573, 584, 590, 596, 597, 598, 599, 611, 613, 614, 629, 640, 641, 651, 652, 672, 674, 677, 679, 681, 684, 689, 690, 710, 712, 717, 718, 722, 723, 731, 732, 734, 736, 739, 740, 741, 742], "isiter": 13, "obj": [13, 105, 200, 223, 246, 289, 306, 311, 322, 323, 324, 326, 335, 340, 344, 348, 374, 384, 428, 630, 633, 641], "bool": [13, 42, 43, 44, 141, 148, 152, 158, 163, 165, 172, 187, 199, 205, 231, 232, 247, 249, 260, 264, 290, 292, 302, 305, 310, 314, 320, 343, 361, 367, 373, 391, 392, 394, 400, 405, 443, 447, 453, 467, 471, 566, 584, 597, 598, 599, 611, 613, 614, 621, 624, 636, 640, 641, 671, 672, 688, 720, 730, 739], "check": [13, 44, 67, 68, 105, 148, 165, 172, 223, 238, 249, 292, 308, 344, 405, 493, 494, 566, 573, 592, 596, 598, 640, 641, 650, 674, 677, 685, 693, 695, 697, 704, 707, 708, 712, 715, 718, 719, 735], "whether": [13, 43, 44, 105, 116, 148, 152, 158, 165, 172, 205, 231, 232, 245, 247, 260, 264, 288, 290, 302, 305, 314, 316, 320, 343, 367, 369, 373, 391, 392, 394, 405, 537, 566, 573, 584, 591, 597, 598, 599, 611, 613, 614, 633, 636, 640, 641, 651, 672, 688, 731, 734, 737, 739], "object": [13, 42, 43, 44, 45, 74, 86, 105, 116, 132, 148, 151, 153, 156, 158, 163, 165, 178, 186, 188, 198, 200, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 228, 229, 231, 232, 235, 236, 237, 247, 248, 249, 264, 265, 267, 278, 279, 280, 290, 291, 292, 305, 306, 311, 316, 324, 326, 329, 330, 332, 333, 334, 335, 340, 343, 344, 345, 346, 347, 348, 352, 365, 369, 373, 374, 382, 383, 422, 427, 428, 432, 446, 500, 512, 537, 553, 566, 568, 571, 573, 584, 585, 590, 596, 601, 613, 629, 630, 633, 640, 641, 647, 648, 652, 658, 668, 670, 671, 672, 680, 688, 689, 691, 727, 728, 730, 731, 739, 740, 741, 743], "i": [13, 43, 44, 45, 48, 49, 51, 54, 55, 60, 64, 70, 82, 85, 105, 132, 143, 148, 152, 153, 156, 158, 160, 163, 165, 172, 177, 178, 180, 182, 188, 191, 192, 198, 199, 203, 204, 210, 215, 216, 217, 218, 219, 220, 222, 223, 231, 232, 235, 236, 237, 245, 246, 247, 248, 249, 250, 251, 254, 256, 260, 264, 265, 267, 271, 273, 274, 278, 279, 280, 288, 289, 290, 291, 292, 293, 294, 297, 299, 302, 305, 313, 316, 318, 320, 322, 327, 335, 340, 344, 345, 349, 356, 366, 369, 371, 373, 374, 384, 395, 398, 405, 411, 412, 416, 428, 433, 438, 446, 447, 474, 475, 477, 480, 481, 486, 490, 496, 508, 511, 553, 561, 566, 568, 573, 584, 585, 596, 597, 598, 599, 601, 611, 613, 614, 630, 636, 640, 641, 645, 646, 647, 648, 650, 651, 652, 653, 654, 656, 660, 663, 666, 668, 669, 670, 671, 672, 674, 675, 676, 677, 679, 680, 681, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 697, 698, 700, 702, 703, 704, 706, 707, 709, 710, 711, 712, 714, 715, 716, 717, 718, 719, 720, 722, 724, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743], "iter": [13, 15, 105, 140, 148, 165, 172, 178, 204, 210, 217, 221, 231, 232, 235, 236, 240, 245, 249, 250, 267, 278, 279, 283, 288, 292, 293, 345, 347, 374, 388, 428, 450, 469, 473, 566, 568, 596, 597, 598, 601, 613, 630, 633, 647, 648, 651, 668, 671, 672, 689, 728, 730, 731, 737, 738, 740, 742], "return": [13, 16, 44, 45, 54, 67, 68, 70, 74, 105, 116, 148, 151, 152, 153, 158, 163, 165, 171, 172, 173, 178, 186, 189, 191, 195, 196, 199, 200, 203, 205, 206, 210, 213, 219, 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730, 731, 732, 734, 737, 738, 739, 740, 742], "els": [13, 148, 172, 232, 245, 288, 384, 566, 613, 638, 697, 734, 738], "fals": [13, 15, 41, 42, 43, 44, 47, 48, 49, 71, 72, 89, 92, 99, 102, 103, 105, 113, 131, 136, 143, 146, 147, 148, 150, 152, 157, 158, 163, 165, 172, 178, 189, 192, 225, 231, 232, 237, 239, 242, 243, 244, 246, 247, 249, 260, 264, 265, 266, 267, 273, 280, 282, 285, 286, 287, 289, 290, 292, 302, 305, 316, 320, 369, 373, 384, 392, 394, 400, 405, 428, 447, 456, 471, 474, 475, 497, 498, 515, 518, 525, 534, 552, 557, 561, 564, 565, 566, 568, 584, 592, 596, 597, 598, 599, 611, 613, 621, 633, 636, 640, 641, 651, 652, 671, 672, 681, 688, 689, 702, 706, 712, 720, 723, 724, 730, 731, 734, 737, 738, 739, 740, 742], "boolean": 13, "ensure_list": 13, "x": [13, 55, 74, 152, 204, 231, 232, 246, 264, 289, 305, 352, 432, 447, 481, 500, 599, 669, 670, 674, 677, 690, 691, 717, 718, 722, 723, 725, 731, 732, 737, 738, 739, 741], "ensur": [13, 264, 305, 352, 432, 597, 677, 731, 739], "list": [13, 42, 43, 44, 54, 105, 140, 148, 151, 152, 153, 162, 165, 178, 179, 180, 182, 196, 203, 204, 209, 214, 219, 223, 226, 231, 232, 235, 236, 240, 247, 260, 264, 265, 278, 279, 283, 290, 302, 305, 309, 310, 313, 314, 316, 317, 318, 320, 327, 335, 340, 343, 346, 361, 366, 367, 369, 370, 371, 373, 374, 382, 388, 389, 391, 392, 394, 395, 398, 400, 405, 411, 412, 416, 428, 443, 447, 450, 467, 471, 473, 480, 566, 571, 596, 599, 613, 621, 630, 631, 641, 647, 650, 651, 672, 679, 681, 685, 687, 689, 692, 697, 699, 702, 703, 706, 714, 717, 719, 720, 726, 728, 730, 731, 733, 737, 738, 740], "input": [13, 15, 42, 43, 44, 45, 54, 60, 64, 67, 68, 70, 71, 72, 74, 82, 83, 85, 86, 105, 109, 110, 116, 122, 141, 148, 151, 161, 163, 164, 165, 170, 171, 172, 176, 203, 204, 223, 231, 232, 235, 236, 247, 248, 249, 251, 260, 263, 264, 269, 278, 279, 290, 291, 292, 294, 302, 304, 305, 308, 309, 310, 373, 374, 378, 382, 389, 395, 398, 428, 453, 480, 486, 490, 493, 494, 496, 497, 498, 500, 508, 509, 511, 512, 530, 531, 537, 543, 566, 568, 571, 590, 592, 596, 597, 610, 611, 612, 613, 614, 624, 629, 630, 636, 638, 640, 641, 648, 651, 652, 668, 669, 671, 672, 674, 675, 676, 677, 679, 681, 683, 688, 689, 690, 691, 692, 697, 728, 730, 731, 734, 737, 738, 739, 742], "check_mx_vers": 13, "version": [13, 54, 104, 161, 165, 203, 232, 309, 310, 365, 480, 610, 645, 647, 651, 670, 681, 685, 686, 689, 702, 704, 706, 707, 729, 737, 740, 741], "str": [13, 42, 43, 44, 140, 151, 153, 158, 159, 162, 163, 165, 171, 172, 173, 179, 182, 186, 187, 189, 191, 200, 203, 226, 231, 232, 247, 248, 249, 256, 260, 264, 266, 270, 271, 290, 291, 292, 299, 302, 305, 309, 310, 313, 314, 316, 318, 320, 327, 338, 361, 364, 366, 367, 369, 371, 373, 386, 388, 389, 391, 392, 394, 395, 397, 398, 400, 405, 413, 421, 423, 426, 427, 443, 446, 447, 450, 467, 470, 471, 473, 573, 584, 586, 592, 596, 597, 611, 613, 614, 619, 621, 625, 629, 633, 636, 638, 641, 642, 670, 671, 672, 688, 720, 730, 738, 739], "mx": 13, "__version__": [13, 156, 585, 670], "combine_cap": 13, "current": [13, 70, 104, 170, 172, 198, 200, 203, 206, 210, 213, 231, 232, 322, 329, 330, 332, 333, 334, 343, 345, 352, 356, 432, 438, 496, 592, 613, 641, 647, 648, 651, 653, 669, 670, 677, 681, 689, 692, 696, 709, 717, 726, 728, 731, 734, 737, 740], "new": [13, 16, 44, 148, 171, 178, 182, 237, 249, 264, 265, 280, 292, 305, 344, 384, 395, 566, 568, 592, 613, 614, 625, 629, 646, 652, 677, 689, 690, 703, 709, 710, 711, 712, 718, 719, 722, 723, 728, 729, 731, 734, 735, 736, 739, 741, 742], "combin": [13, 165, 231, 232, 235, 236, 260, 274, 278, 279, 302, 374, 428, 573, 596, 630, 641, 647, 651, 684, 689, 727, 729, 731, 733, 734, 739, 740], "capabl": [13, 47, 362, 444, 456, 652, 653, 668, 681, 689, 690, 700, 711, 716, 728, 730, 731, 740, 742], "contain": [13, 67, 68, 70, 74, 139, 148, 153, 158, 165, 172, 178, 188, 200, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 231, 232, 235, 236, 247, 248, 249, 278, 279, 290, 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63, 64, 65, 66, 69, 71, 72, 73, 74, 75, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107, 108, 109, 116, 118, 140, 141, 142, 148, 150, 151, 152, 153, 157, 158, 159, 160, 162, 163, 164, 165, 170, 171, 172, 176, 178, 180, 188, 195, 200, 201, 203, 210, 211, 212, 215, 217, 218, 219, 221, 223, 225, 231, 232, 235, 236, 243, 246, 247, 249, 264, 265, 268, 269, 278, 279, 286, 289, 290, 292, 305, 306, 308, 309, 310, 311, 312, 320, 321, 322, 323, 326, 329, 330, 332, 333, 334, 335, 340, 344, 345, 346, 347, 348, 349, 352, 355, 356, 358, 365, 373, 374, 384, 386, 388, 389, 391, 392, 394, 395, 397, 398, 404, 405, 421, 426, 427, 428, 429, 432, 433, 437, 438, 440, 446, 447, 450, 453, 455, 469, 470, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 495, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 516, 517, 518, 519, 520, 522, 523, 524, 525, 526, 528, 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320, 322, 335, 340, 343, 346, 348, 349, 354, 360, 365, 372, 373, 374, 378, 406, 428, 435, 436, 442, 570, 638, 643, 646, 651, 652, 653, 668, 669, 670, 672, 673, 675, 676, 677, 678, 679, 680, 681, 682, 683, 686, 687, 690, 691, 693, 694, 697, 699, 700, 702, 704, 706, 707, 708, 720, 726, 727, 729, 731, 734, 735, 737, 738, 739, 740, 742, 743], "compressor": [13, 178, 188, 191, 207, 208, 219, 231, 232, 259, 260, 261, 264, 265, 268, 271, 274, 302, 303, 305, 307, 312, 319, 320, 322, 343, 346, 348, 349, 354, 360, 365, 372, 373, 374, 378, 406, 428, 436, 442, 570, 638, 643, 646, 648, 651, 652, 653, 668, 669, 670, 672, 673, 675, 676, 677, 678, 679, 680, 681, 682, 683, 686, 687, 690, 691, 692, 693, 697, 699, 700, 702, 704, 706, 707, 708, 711, 712, 713, 714, 716, 717, 724, 726, 727, 728, 729, 731, 734, 735, 737, 738, 739, 740, 741, 742, 743], "tupl": [13, 105, 148, 165, 196, 232, 235, 236, 260, 264, 278, 279, 302, 305, 310, 361, 374, 395, 398, 428, 443, 470, 566, 590, 596, 601, 619, 630, 640, 652, 670, 672, 688, 689, 731, 739], "symnet": 13, "arg": [13, 54, 105, 165, 172, 247, 248, 249, 290, 291, 292, 343, 352, 386, 397, 432, 447, 480, 597, 599, 613, 619, 636, 637, 672, 677, 689, 698, 728, 731, 734, 737, 738, 739], "aux": 13, "data": [13, 42, 43, 44, 56, 105, 140, 148, 153, 158, 165, 170, 172, 176, 203, 231, 232, 235, 236, 265, 267, 278, 279, 310, 312, 352, 362, 364, 365, 374, 389, 395, 399, 405, 421, 426, 428, 432, 444, 446, 450, 469, 473, 482, 566, 569, 573, 584, 592, 596, 597, 613, 630, 633, 638, 641, 650, 651, 669, 671, 672, 677, 681, 682, 685, 688, 689, 690, 711, 712, 714, 717, 722, 723, 731, 733, 734, 735, 736, 737, 738, 739, 740, 741], "descript": [13, 132, 199, 447, 553, 647, 652, 653, 671, 717, 721, 737], "ncmodel": 13, "fuse": [13, 58, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 91, 92, 93, 94, 96, 131, 136, 163, 165, 176, 484, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 517, 518, 519, 520, 522, 552, 557, 596, 647, 737, 738], "suppli": 13, "get_framework_nam": 13, "get": [13, 42, 43, 44, 45, 67, 68, 70, 104, 105, 148, 152, 159, 165, 171, 178, 187, 191, 192, 196, 198, 200, 201, 203, 206, 213, 220, 221, 222, 223, 229, 232, 240, 264, 265, 271, 273, 283, 305, 310, 343, 345, 347, 355, 362, 364, 373, 382, 392, 399, 405, 428, 437, 444, 446, 467, 493, 494, 496, 566, 568, 571, 573, 586, 592, 596, 599, 608, 613, 629, 633, 636, 638, 641, 652, 669, 680, 684, 685, 687, 689, 695, 712, 714, 722, 723, 729, 734, 737, 740, 741, 744], "name": [13, 43, 45, 54, 67, 68, 70, 104, 105, 110, 116, 140, 148, 151, 152, 153, 158, 159, 163, 165, 171, 172, 173, 178, 179, 180, 182, 186, 192, 195, 196, 198, 203, 205, 210, 213, 214, 219, 220, 221, 222, 223, 226, 229, 231, 232, 247, 248, 249, 252, 256, 262, 264, 265, 269, 272, 273, 290, 291, 292, 295, 299, 305, 308, 309, 310, 315, 320, 338, 343, 345, 347, 362, 364, 368, 373, 378, 382, 384, 405, 428, 444, 446, 450, 480, 493, 494, 496, 531, 537, 566, 571, 573, 584, 586, 592, 596, 599, 613, 625, 629, 631, 633, 638, 641, 646, 647, 653, 670, 672, 674, 677, 679, 681, 686, 688, 689, 691, 695, 702, 706, 710, 711, 717, 728, 731, 735, 736, 738, 740, 742, 743], "context": [13, 614, 641, 730, 734], "prepare_model_data": 13, "nc_model": [13, 335, 340], "data_x": 13, "prepar": [13, 44, 165, 395, 624, 647, 672, 677, 682, 711, 722, 723, 724, 728, 731], "dataload": [13, 15, 42, 44, 140, 141, 150, 152, 153, 165, 170, 172, 178, 200, 201, 203, 219, 223, 225, 235, 236, 247, 258, 268, 278, 279, 290, 301, 306, 312, 335, 340, 349, 365, 388, 389, 398, 421, 426, 428, 450, 453, 568, 592, 597, 598, 599, 612, 613, 630, 633, 647, 650, 651, 652, 674, 675, 676, 677, 682, 683, 689, 690, 711, 712, 727, 728, 731, 732, 733, 734, 737, 738, 739, 741, 742], "need": [13, 42, 105, 109, 170, 172, 178, 182, 203, 219, 232, 235, 236, 237, 245, 246, 249, 256, 264, 267, 269, 270, 278, 279, 280, 288, 289, 292, 299, 305, 310, 349, 355, 373, 374, 384, 389, 428, 437, 530, 568, 590, 592, 598, 630, 640, 641, 647, 651, 670, 671, 672, 674, 675, 677, 684, 689, 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698, 704, 707, 711, 713, 714, 716, 717, 719, 720, 722, 723, 724, 731, 735, 738], "microsoft": [16, 399, 650, 651], "onnxruntim": [16, 231, 232, 243, 249, 256, 286, 292, 299, 321, 399, 422, 651, 669, 671, 684, 685, 690, 712, 730], "main": [16, 152, 191, 196, 214, 219, 271, 346, 397, 398, 399, 469, 470, 473, 599, 619, 620, 624, 647, 671, 674, 677, 689, 696, 698, 710, 719, 728, 731, 734], "tool": [16, 148, 309, 399, 566, 641, 650, 651, 689, 702, 706, 712, 715, 716, 717, 728, 729, 731], "arrai": [16, 43, 44, 148, 158, 264, 305, 316, 327, 369, 395, 405, 566, 584, 641, 739], "small": [16, 67, 68, 69, 70, 435, 493, 494, 495, 496, 648, 714, 715, 728, 734, 740, 743], "probabl": [16, 231, 232, 635, 734], "activationoper": 18, "onnx_quant": [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], "onnx_nod": [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 87, 101, 111], "removableactivationoper": 18, "remov": [18, 43, 51, 57, 60, 74, 80, 83, 84, 85, 96, 98, 140, 201, 214, 318, 371, 450, 477, 483, 486, 500, 506, 509, 510, 511, 522, 524, 645, 689, 702, 706, 715, 722, 723, 728, 738], "qactivationoper": 18, "children": [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 31, 32, 34, 35, 36, 38, 39, 159, 586], "initi": [18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 31, 32, 34, 35, 36, 38, 39, 42, 43, 44, 105, 116, 148, 158, 189, 210, 235, 236, 244, 247, 266, 278, 279, 287, 290, 344, 345, 362, 395, 428, 444, 537, 566, 584, 601, 630, 648, 653, 672, 688, 708, 728, 731, 737, 740], "qoper": [18, 34, 231, 232, 679, 712], "format": [18, 43, 54, 148, 165, 231, 232, 247, 248, 249, 290, 291, 292, 310, 316, 322, 362, 369, 444, 447, 455, 456, 480, 566, 597, 636, 650, 652, 653, 670, 672, 677, 679, 688, 689, 690, 691, 692, 714, 717, 729, 731, 734, 735], "float16activationoper": 18, "float16": [18, 21, 43, 614, 636, 672, 734], "argmaxoper": 19, "qargmaxoper": 19, "attentionoper": 20, "qattentionoper": 20, "qattent": 20, "binari": 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363, 400, 445, 450, 453, 471, 566, 596], "qop_registri": 34, "padoper": 35, "qpadoper": 35, "qpad": 35, "averagepool": 36, "pooloper": 36, "qpooloper": 36, "qlinearaveragepool": 36, "reduceoper": 37, "reduceminmaxoper": 37, "reducemin": 37, "reducemax": 37, "resizeoper": 38, "qresizeoper": 38, "qresiz": 38, "splitoper": 39, "qsplitoper": 39, "qsplit": 39, "unari": 40, "unaryoper": 40, "unarydirect8bitoper": 40, "q_config": [41, 165, 310, 651], "mode": [41, 42, 43, 45, 110, 158, 170, 256, 299, 316, 362, 369, 382, 389, 405, 444, 531, 571, 584, 592, 624, 629, 638, 640, 641, 651, 652, 674, 684, 702, 706, 714, 715, 731, 733, 734, 740], "static": [41, 42, 47, 170, 176, 203, 232, 310, 362, 389, 428, 444, 455, 456, 467, 469, 471, 592, 624, 651, 652, 653, 674, 679, 684, 689, 692, 697, 698, 699, 700, 703, 709, 712, 720, 722, 723, 724, 732, 737, 740, 743], "quantization_param": 41, "op_types_to_quant": 41, "fallback_list": 41, "fp32": [41, 42, 44, 79, 131, 136, 143, 165, 172, 177, 231, 232, 235, 236, 278, 279, 309, 310, 320, 355, 362, 373, 391, 392, 394, 395, 400, 433, 437, 444, 469, 473, 505, 552, 557, 561, 573, 590, 598, 611, 613, 633, 636, 640, 641, 646, 651, 653, 674, 681, 682, 687, 688, 689, 690, 699, 711, 712, 713, 714, 730, 731, 733, 734, 735, 736, 737, 738, 740, 742, 743], "add_qdq_pair_to_weight": [41, 231, 232, 731], "optypes_to_exclude_output_qu": [41, 231, 232, 731], "dedicated_qdq_pair": [41, 231, 232, 731], "smoothquant": [42, 165, 170, 171, 176, 389, 451, 592, 650, 687, 729, 734, 741], "onnxrt": [42, 43, 44, 247, 249, 256, 264, 290, 292, 299, 305, 320, 373, 421, 639, 651, 674, 690, 711, 731, 743], "get_quant_dequant_output": 42, "input_data": [42, 671], "output_data": 42, "loss": [42, 180, 189, 231, 232, 266, 311, 320, 335, 340, 348, 373, 614, 630, 669, 674, 675, 676, 677, 678, 687, 688, 689, 690, 700, 712, 714, 727, 728, 729, 731, 734, 737, 740, 742], "output": [42, 43, 44, 51, 54, 59, 74, 98, 105, 110, 148, 165, 171, 172, 192, 203, 204, 209, 223, 229, 231, 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235, 236, 264, 278, 279, 305, 311, 316, 335, 340, 348, 349, 369, 374, 388, 389, 391, 392, 394, 395, 400, 428, 531, 625, 630, 634, 636, 648, 650, 651, 652, 653, 668, 671, 674, 676, 677, 678, 684, 685, 687, 688, 689, 690, 691, 692, 696, 700, 703, 709, 710, 711, 717, 718, 728, 730, 731, 734, 737, 738, 740, 741, 742, 743], "make_sub_graph": 42, "opset": [42, 102, 104, 105, 232, 309, 310, 679], "ir_vers": 42, "thi": [42, 45, 86, 110, 132, 139, 143, 147, 153, 156, 158, 165, 172, 177, 180, 182, 188, 192, 195, 201, 203, 205, 207, 208, 209, 210, 214, 215, 216, 217, 219, 220, 221, 227, 231, 232, 235, 236, 246, 247, 248, 249, 250, 251, 252, 254, 264, 267, 273, 274, 278, 279, 289, 290, 291, 292, 293, 294, 295, 297, 305, 313, 316, 317, 318, 320, 329, 330, 332, 333, 334, 335, 340, 343, 345, 347, 348, 349, 352, 355, 366, 369, 370, 371, 373, 374, 384, 428, 432, 437, 446, 447, 512, 531, 553, 560, 561, 565, 568, 584, 585, 596, 597, 598, 614, 629, 630, 640, 641, 645, 646, 647, 648, 651, 652, 653, 669, 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44, 150, 161, 165, 172, 391, 392, 394, 395, 405, 598, 610, 611, 613, 653, 681, 734, 742], "ortsmoothqu": 42, "fake": [42, 44, 113, 161, 170, 172, 176, 182, 389, 446, 534, 592, 598, 610, 611, 613, 689, 731, 734, 737], "channel": [42, 43, 44, 143, 170, 171, 172, 176, 177, 201, 204, 209, 231, 232, 260, 264, 302, 305, 343, 389, 392, 561, 592, 611, 613, 636, 650, 651, 653, 684, 685, 692, 694, 699, 714, 728, 734, 739, 743], "For": [42, 44, 165, 172, 176, 180, 182, 186, 199, 203, 204, 207, 208, 219, 232, 249, 264, 292, 305, 317, 318, 320, 343, 346, 370, 371, 373, 374, 389, 391, 392, 394, 428, 598, 611, 613, 645, 647, 649, 651, 653, 675, 676, 677, 679, 681, 684, 692, 694, 695, 697, 700, 711, 712, 717, 728, 733, 734, 737, 738, 740, 742, 743], "more": [42, 148, 170, 176, 182, 207, 208, 264, 305, 343, 389, 566, 592, 614, 648, 649, 650, 652, 669, 670, 672, 675, 677, 679, 682, 684, 685, 687, 689, 690, 692, 700, 704, 707, 712, 717, 726, 727, 728, 733, 734, 737, 740, 741, 743], "detail": [42, 170, 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"module-neural_compressor.adaptor.keras"]], "neural_compressor.adaptor.keras_utils.conv2d": [[4, "module-neural_compressor.adaptor.keras_utils.conv2d"]], "neural_compressor.adaptor.keras_utils.dense": [[5, "module-neural_compressor.adaptor.keras_utils.dense"]], "neural_compressor.adaptor.keras_utils.depthwise_conv2d": [[6, "module-neural_compressor.adaptor.keras_utils.depthwise_conv2d"]], "neural_compressor.adaptor.keras_utils": [[7, "module-neural_compressor.adaptor.keras_utils"]], "neural_compressor.adaptor.keras_utils.pool2d": [[8, "module-neural_compressor.adaptor.keras_utils.pool2d"]], "neural_compressor.adaptor.keras_utils.quantizer": [[9, "module-neural_compressor.adaptor.keras_utils.quantizer"]], "neural_compressor.adaptor.keras_utils.separable_conv2d": [[10, "module-neural_compressor.adaptor.keras_utils.separable_conv2d"]], "mxnetadaptor (class in neural_compressor.adaptor.mxnet)": [[11, "neural_compressor.adaptor.mxnet.MxNetAdaptor"]], "neural_compressor.adaptor.mxnet": [[11, 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neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.OpType"]], "tensorcollector (class in neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.TensorCollector"]], "amp_convert() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.amp_convert"]], "calib_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.calib_model"]], "check_mx_version() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.check_mx_version"]], "combine_capabilities() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.combine_capabilities"]], "create_data_example() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.create_data_example"]], 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"neural_compressor.adaptor.mxnet_utils.util.make_module"]], "make_nc_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.make_nc_model"]], "make_symbol_block() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.make_symbol_block"]], "ndarray_to_device() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.ndarray_to_device"]], "neural_compressor.adaptor.mxnet_utils.util": [[13, "module-neural_compressor.adaptor.mxnet_utils.util"]], "parse_tune_config() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.parse_tune_config"]], "prepare_dataloader() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.prepare_dataloader"]], "prepare_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.prepare_model"]], "prepare_model_data() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.prepare_model_data"]], "quantize_sym_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.quantize_sym_model"]], "query_quantizable_nodes() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.query_quantizable_nodes"]], "run_forward() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.run_forward"]], "onnxrt_integeropsadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_IntegerOpsAdaptor"]], "onnxrt_qdqadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_QDQAdaptor"]], "onnxrt_qlinearopsadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_QLinearOpsAdaptor"]], "onnxrt_weightonlyadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_WeightOnlyAdaptor"]], "onnxruntimeadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRUNTIMEAdaptor"]], "neural_compressor.adaptor.onnxrt": [[14, "module-neural_compressor.adaptor.onnxrt"]], "onnxrtaugment (class in neural_compressor.adaptor.ox_utils.calibration)": [[15, "neural_compressor.adaptor.ox_utils.calibration.ONNXRTAugment"]], "neural_compressor.adaptor.ox_utils.calibration": [[15, "module-neural_compressor.adaptor.ox_utils.calibration"]], "calibratorbase (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.CalibratorBase"]], "histogramcollector (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.HistogramCollector"]], "klcalibrator (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.KLCalibrator"]], "minmaxcalibrator (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.MinMaxCalibrator"]], "percentilecalibrator (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.PercentileCalibrator"]], "calib_registry() (in module neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.calib_registry"]], "neural_compressor.adaptor.ox_utils.calibrator": [[16, "module-neural_compressor.adaptor.ox_utils.calibrator"]], "smooth_distribution() (in module neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.smooth_distribution"]], "neural_compressor.adaptor.ox_utils": [[17, "module-neural_compressor.adaptor.ox_utils"]], "activationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.ActivationOperator"]], "float16activationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.Float16ActivationOperator"]], "qactivationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.QActivationOperator"]], "removableactivationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.RemovableActivationOperator"]], "neural_compressor.adaptor.ox_utils.operators.activation": [[18, "module-neural_compressor.adaptor.ox_utils.operators.activation"]], "argmaxoperator (class in neural_compressor.adaptor.ox_utils.operators.argmax)": [[19, 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"neural_compressor.adaptor.ox_utils.operators.binary_op.BinaryDirect8BitOperator"]], "binaryoperator (class in neural_compressor.adaptor.ox_utils.operators.binary_op)": [[21, "neural_compressor.adaptor.ox_utils.operators.binary_op.BinaryOperator"]], "float16binaryoperator (class in neural_compressor.adaptor.ox_utils.operators.binary_op)": [[21, "neural_compressor.adaptor.ox_utils.operators.binary_op.Float16BinaryOperator"]], "qbinaryoperator (class in neural_compressor.adaptor.ox_utils.operators.binary_op)": [[21, "neural_compressor.adaptor.ox_utils.operators.binary_op.QBinaryOperator"]], "neural_compressor.adaptor.ox_utils.operators.binary_op": [[21, "module-neural_compressor.adaptor.ox_utils.operators.binary_op"]], "concatoperator (class in neural_compressor.adaptor.ox_utils.operators.concat)": [[22, "neural_compressor.adaptor.ox_utils.operators.concat.ConcatOperator"]], "qconcatoperator (class in neural_compressor.adaptor.ox_utils.operators.concat)": [[22, 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"neural_compressor.adaptor.ox_utils.operators.direct_q8": [[24, "module-neural_compressor.adaptor.ox_utils.operators.direct_q8"]], "embedlayernormalizationoperator (class in neural_compressor.adaptor.ox_utils.operators.embed_layernorm)": [[25, "neural_compressor.adaptor.ox_utils.operators.embed_layernorm.EmbedLayerNormalizationOperator"]], "qembedlayernormalizationoperator (class in neural_compressor.adaptor.ox_utils.operators.embed_layernorm)": [[25, "neural_compressor.adaptor.ox_utils.operators.embed_layernorm.QEmbedLayerNormalizationOperator"]], "neural_compressor.adaptor.ox_utils.operators.embed_layernorm": [[25, "module-neural_compressor.adaptor.ox_utils.operators.embed_layernorm"]], "gatheroperator (class in neural_compressor.adaptor.ox_utils.operators.gather)": [[26, "neural_compressor.adaptor.ox_utils.operators.gather.GatherOperator"]], "qgatheroperator (class in neural_compressor.adaptor.ox_utils.operators.gather)": [[26, "neural_compressor.adaptor.ox_utils.operators.gather.QGatherOperator"]], "neural_compressor.adaptor.ox_utils.operators.gather": [[26, "module-neural_compressor.adaptor.ox_utils.operators.gather"]], "globalaveragepooloperator (class in neural_compressor.adaptor.ox_utils.operators.gavgpool)": [[27, "neural_compressor.adaptor.ox_utils.operators.gavgpool.GlobalAveragePoolOperator"]], "qglobalaveragepooloperator (class in neural_compressor.adaptor.ox_utils.operators.gavgpool)": [[27, "neural_compressor.adaptor.ox_utils.operators.gavgpool.QGlobalAveragePoolOperator"]], "neural_compressor.adaptor.ox_utils.operators.gavgpool": [[27, "module-neural_compressor.adaptor.ox_utils.operators.gavgpool"]], "gemmoperator (class in neural_compressor.adaptor.ox_utils.operators.gemm)": [[28, "neural_compressor.adaptor.ox_utils.operators.gemm.GemmOperator"]], "qgemmoperator (class in neural_compressor.adaptor.ox_utils.operators.gemm)": [[28, "neural_compressor.adaptor.ox_utils.operators.gemm.QGemmOperator"]], "neural_compressor.adaptor.ox_utils.operators.gemm": [[28, "module-neural_compressor.adaptor.ox_utils.operators.gemm"]], "neural_compressor.adaptor.ox_utils.operators": [[29, "module-neural_compressor.adaptor.ox_utils.operators"]], "lstmoperator (class in neural_compressor.adaptor.ox_utils.operators.lstm)": [[30, "neural_compressor.adaptor.ox_utils.operators.lstm.LSTMOperator"]], "neural_compressor.adaptor.ox_utils.operators.lstm": [[30, "module-neural_compressor.adaptor.ox_utils.operators.lstm"]], "fusedmatmuloperator (class in neural_compressor.adaptor.ox_utils.operators.matmul)": [[31, "neural_compressor.adaptor.ox_utils.operators.matmul.FusedMatMulOperator"]], "matmuloperator (class in neural_compressor.adaptor.ox_utils.operators.matmul)": [[31, "neural_compressor.adaptor.ox_utils.operators.matmul.MatMulOperator"]], "qmatmuloperator (class in neural_compressor.adaptor.ox_utils.operators.matmul)": [[31, 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"neural_compressor.adaptor.ox_utils.operators.norm": [[33, "module-neural_compressor.adaptor.ox_utils.operators.norm"]], "operator (class in neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.Operator"]], "qoperator (class in neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.QOperator"]], "neural_compressor.adaptor.ox_utils.operators.ops": [[34, "module-neural_compressor.adaptor.ox_utils.operators.ops"]], "op_registry() (in module neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.op_registry"]], "qop_registry() (in module neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.qop_registry"]], "padoperator (class in neural_compressor.adaptor.ox_utils.operators.pad)": [[35, "neural_compressor.adaptor.ox_utils.operators.pad.PadOperator"]], "qpadoperator (class in neural_compressor.adaptor.ox_utils.operators.pad)": [[35, "neural_compressor.adaptor.ox_utils.operators.pad.QPadOperator"]], "neural_compressor.adaptor.ox_utils.operators.pad": [[35, "module-neural_compressor.adaptor.ox_utils.operators.pad"]], "pooloperator (class in neural_compressor.adaptor.ox_utils.operators.pooling)": [[36, "neural_compressor.adaptor.ox_utils.operators.pooling.PoolOperator"]], "qpooloperator (class in neural_compressor.adaptor.ox_utils.operators.pooling)": [[36, "neural_compressor.adaptor.ox_utils.operators.pooling.QPoolOperator"]], "neural_compressor.adaptor.ox_utils.operators.pooling": [[36, "module-neural_compressor.adaptor.ox_utils.operators.pooling"]], "reduceminmaxoperator (class in neural_compressor.adaptor.ox_utils.operators.reduce)": [[37, "neural_compressor.adaptor.ox_utils.operators.reduce.ReduceMinMaxOperator"]], "reduceoperator (class in neural_compressor.adaptor.ox_utils.operators.reduce)": [[37, 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"neural_compressor.adaptor.ox_utils.operators.split": [[39, "module-neural_compressor.adaptor.ox_utils.operators.split"]], "unarydirect8bitoperator (class in neural_compressor.adaptor.ox_utils.operators.unary_op)": [[40, "neural_compressor.adaptor.ox_utils.operators.unary_op.UnaryDirect8BitOperator"]], "unaryoperator (class in neural_compressor.adaptor.ox_utils.operators.unary_op)": [[40, "neural_compressor.adaptor.ox_utils.operators.unary_op.UnaryOperator"]], "neural_compressor.adaptor.ox_utils.operators.unary_op": [[40, "module-neural_compressor.adaptor.ox_utils.operators.unary_op"]], "quantizer (class in neural_compressor.adaptor.ox_utils.quantizer)": [[41, "neural_compressor.adaptor.ox_utils.quantizer.Quantizer"]], "neural_compressor.adaptor.ox_utils.quantizer": [[41, "module-neural_compressor.adaptor.ox_utils.quantizer"]], "ortsmoothquant (class in neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.ORTSmoothQuant"]], "get_quant_dequant_output() (in module neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.get_quant_dequant_output"]], "make_sub_graph() (in module neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.make_sub_graph"]], "neural_compressor.adaptor.ox_utils.smooth_quant": [[42, "module-neural_compressor.adaptor.ox_utils.smooth_quant"]], "quant_dequant_data() (in module neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.quant_dequant_data"]], "quantformat (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantFormat"]], "quanttype (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantType"]], "quantizationmode (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantizationMode"]], "quantizedinitializer (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantizedInitializer"]], "quantizedvalue (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantizedValue"]], "quantizedvaluetype (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantizedValueType"]], "valueinfo (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.ValueInfo"]], "attribute_to_kwarg() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.attribute_to_kwarg"]], "calculate_scale_zp() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.calculate_scale_zp"]], "cast_tensor() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.cast_tensor"]], "collate_preds() (in 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"get_node_original_name() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.get_node_original_name"]], "infer_shapes() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.infer_shapes"]], "is_b_transposed() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.is_B_transposed"]], "make_dquant_node() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.make_dquant_node"]], "make_quant_node() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.make_quant_node"]], "neural_compressor.adaptor.ox_utils.util": [[43, "module-neural_compressor.adaptor.ox_utils.util"]], "quantize_data() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.quantize_data"]], "quantize_data_per_channel() (in module 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neural_compressor.adaptor.torch_utils.gptq)": [[152, "neural_compressor.adaptor.torch_utils.gptq.log_quantizable_layers_per_transformer"]], "neural_compressor.adaptor.torch_utils.gptq": [[152, "module-neural_compressor.adaptor.torch_utils.gptq"]], "quantize() (in module neural_compressor.adaptor.torch_utils.gptq)": [[152, "neural_compressor.adaptor.torch_utils.gptq.quantize"]], "trace_gptq_target_blocks() (in module neural_compressor.adaptor.torch_utils.gptq)": [[152, "neural_compressor.adaptor.torch_utils.gptq.trace_gptq_target_blocks"]], "hessiantrace (class in neural_compressor.adaptor.torch_utils.hawq_metric)": [[153, "neural_compressor.adaptor.torch_utils.hawq_metric.HessianTrace"]], "node_collector (class in neural_compressor.adaptor.torch_utils.hawq_metric)": [[153, "neural_compressor.adaptor.torch_utils.hawq_metric.Node_collector"]], "compare_weights() (in module neural_compressor.adaptor.torch_utils.hawq_metric)": [[153, 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"get_block_prefix() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_block_prefix"]], "get_depth() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_depth"]], "get_dict_at_depth() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_dict_at_depth"]], "get_element_under_depth() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_element_under_depth"]], "get_embedding_contiguous() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_embedding_contiguous"]], "get_example_input() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_example_input"]], "get_fallback_order() (in module neural_compressor.adaptor.torch_utils.util)": [[165, 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module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.get_physical_ids"]], "get_threads() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.get_threads"]], "get_threads_per_core() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.get_threads_per_core"]], "neural_compressor.benchmark": [[178, "module-neural_compressor.benchmark"]], "profile() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.profile"]], "run_instance() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.run_instance"]], "set_all_env_var() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.set_all_env_var"]], "set_env_var() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.set_env_var"]], "summary_benchmark() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.summary_benchmark"]], "baseconfig (class in neural_compressor.common.base_config)": [[179, "neural_compressor.common.base_config.BaseConfig"]], "composableconfig (class in neural_compressor.common.base_config)": [[179, "neural_compressor.common.base_config.ComposableConfig"]], "neural_compressor.common.base_config": [[179, "module-neural_compressor.common.base_config"]], "register_config() (in module neural_compressor.common.base_config)": [[179, "neural_compressor.common.base_config.register_config"]], "register_supported_configs_for_fwk() (in module neural_compressor.common.base_config)": [[179, "neural_compressor.common.base_config.register_supported_configs_for_fwk"]], "evaluator (class in neural_compressor.common.base_tuning)": [[180, "neural_compressor.common.base_tuning.Evaluator"]], "sequentialsampler (class in neural_compressor.common.base_tuning)": [[180, "neural_compressor.common.base_tuning.SequentialSampler"]], "tuningconfig (class in neural_compressor.common.base_tuning)": [[180, 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neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchCriterions"]], "pytorchcrossentropyloss (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchCrossEntropyLoss"]], "pytorchintermediatelayersknowledgedistillationloss (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchIntermediateLayersKnowledgeDistillationLoss"]], "pytorchintermediatelayersknowledgedistillationlosswrapper (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchIntermediateLayersKnowledgeDistillationLossWrapper"]], "pytorchknowledgedistillationloss (class in neural_compressor.compression.distillation.criterions)": [[189, 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neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.TensorFlowCrossEntropyLoss"]], "tensorflowsparsecategoricalcrossentropy (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.TensorFlowSparseCategoricalCrossentropy"]], "tensorflowcriterions (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.TensorflowCriterions"]], "tensorflowknowledgedistillationloss (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.TensorflowKnowledgeDistillationLoss"]], "tensorflowknowledgedistillationlossexternal (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.TensorflowKnowledgeDistillationLossExternal"]], "tensorflowknowledgedistillationlosswrapper (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.TensorflowKnowledgeDistillationLossWrapper"]], "criterion_registry() (in module neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.criterion_registry"]], "neural_compressor.compression.distillation.criterions": [[189, "module-neural_compressor.compression.distillation.criterions"]], "neural_compressor.compression.distillation": [[190, "module-neural_compressor.compression.distillation"]], "optimizers (class in neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.Optimizers"]], "pytorchoptimizers (class in neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.PyTorchOptimizers"]], "pytorchsgd (class in neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.PyTorchSGD"]], "tensorflowadam (class in neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.TensorFlowAdam"]], "tensorflowadamw (class in neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.TensorFlowAdamW"]], "tensorflowsgd (class in neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.TensorFlowSGD"]], "tensorflowoptimizers (class in neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.TensorflowOptimizers"]], "neural_compressor.compression.distillation.optimizers": [[191, "module-neural_compressor.compression.distillation.optimizers"]], "optimizer_registry() (in module neural_compressor.compression.distillation.optimizers)": [[191, "neural_compressor.compression.distillation.optimizers.optimizer_registry"]], "get_activation() (in module neural_compressor.compression.distillation.utility)": [[192, "neural_compressor.compression.distillation.utility.get_activation"]], "neural_compressor.compression.distillation.utility": [[192, "module-neural_compressor.compression.distillation.utility"]], "record_output() (in module neural_compressor.compression.distillation.utility)": [[192, "neural_compressor.compression.distillation.utility.record_output"]], "neural_compressor.compression.hpo": [[193, "module-neural_compressor.compression.hpo"]], "neural_compressor.compression.hpo.sa_optimizer": [[194, "module-neural_compressor.compression.hpo.sa_optimizer"]], "bayesianoptimizationsearcher (class in neural_compressor.compression.hpo.search_algorithms)": [[195, "neural_compressor.compression.hpo.search_algorithms.BayesianOptimizationSearcher"]], "gridsearcher (class in neural_compressor.compression.hpo.search_algorithms)": [[195, "neural_compressor.compression.hpo.search_algorithms.GridSearcher"]], "randomsearcher (class in neural_compressor.compression.hpo.search_algorithms)": [[195, "neural_compressor.compression.hpo.search_algorithms.RandomSearcher"]], "searcher (class in neural_compressor.compression.hpo.search_algorithms)": [[195, "neural_compressor.compression.hpo.search_algorithms.Searcher"]], "xgbsearcher (class in neural_compressor.compression.hpo.search_algorithms)": [[195, "neural_compressor.compression.hpo.search_algorithms.XgbSearcher"]], "neural_compressor.compression.hpo.search_algorithms": [[195, "module-neural_compressor.compression.hpo.search_algorithms"]], "register_searcher() (in module neural_compressor.compression.hpo.search_algorithms)": [[195, "neural_compressor.compression.hpo.search_algorithms.register_searcher"]], "basesearchspace (class in neural_compressor.compression.hpo.search_space)": [[196, "neural_compressor.compression.hpo.search_space.BaseSearchSpace"]], "continuoussearchspace (class in neural_compressor.compression.hpo.search_space)": [[196, "neural_compressor.compression.hpo.search_space.ContinuousSearchSpace"]], "discretesearchspace (class in neural_compressor.compression.hpo.search_space)": [[196, "neural_compressor.compression.hpo.search_space.DiscreteSearchSpace"]], "searchspace (class in neural_compressor.compression.hpo.search_space)": [[196, "neural_compressor.compression.hpo.search_space.SearchSpace"]], "neural_compressor.compression.hpo.search_space": [[196, "module-neural_compressor.compression.hpo.search_space"]], "register_searchspace() (in module neural_compressor.compression.hpo.search_space)": [[196, "neural_compressor.compression.hpo.search_space.register_searchspace"]], "neural_compressor.compression": [[197, "module-neural_compressor.compression"]], "blockmaskcriterion (class in neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.BlockMaskCriterion"]], "gradientcriterion (class in neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.GradientCriterion"]], "magnitudecriterion (class in neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.MagnitudeCriterion"]], "pruningcriterion (class in neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.PruningCriterion"]], "retrainfreecriterion (class in neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.RetrainFreeCriterion"]], "snipcriterion (class in neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.SnipCriterion"]], "snipmomentumcriterion (class in neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.SnipMomentumCriterion"]], "get_criterion() (in module neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.get_criterion"]], "neural_compressor.compression.pruner.criteria": [[198, "module-neural_compressor.compression.pruner.criteria"]], "register_criterion() (in module neural_compressor.compression.pruner.criteria)": [[198, "neural_compressor.compression.pruner.criteria.register_criterion"]], "scores (neural_compressor.compression.pruner.criteria.blockmaskcriterion attribute)": [[198, "neural_compressor.compression.pruner.criteria.BlockMaskCriterion.scores"]], "scores (neural_compressor.compression.pruner.criteria.gradientcriterion attribute)": [[198, "neural_compressor.compression.pruner.criteria.GradientCriterion.scores"]], "scores (neural_compressor.compression.pruner.criteria.magnitudecriterion attribute)": [[198, "neural_compressor.compression.pruner.criteria.MagnitudeCriterion.scores"]], "scores (neural_compressor.compression.pruner.criteria.pruningcriterion attribute)": [[198, "neural_compressor.compression.pruner.criteria.PruningCriterion.scores"]], "scores (neural_compressor.compression.pruner.criteria.retrainfreecriterion attribute)": [[198, "neural_compressor.compression.pruner.criteria.RetrainFreeCriterion.scores"]], "scores (neural_compressor.compression.pruner.criteria.snipcriterion attribute)": [[198, "neural_compressor.compression.pruner.criteria.SnipCriterion.scores"]], "scores (neural_compressor.compression.pruner.criteria.snipmomentumcriterion attribute)": [[198, "neural_compressor.compression.pruner.criteria.SnipMomentumCriterion.scores"]], "dsnot() (in module neural_compressor.compression.pruner.dsnot)": [[199, "neural_compressor.compression.pruner.dsnot.DSnoT"]], "neural_compressor.compression.pruner.dsnot": [[199, "module-neural_compressor.compression.pruner.dsnot"]], "return_reorder_indice() (in module neural_compressor.compression.pruner.dsnot)": [[199, "neural_compressor.compression.pruner.dsnot.return_reorder_indice"]], "neural_compressor.compression.pruner": [[200, "module-neural_compressor.compression.pruner"]], "prepare_pruning() (in module neural_compressor.compression.pruner)": [[200, "neural_compressor.compression.pruner.prepare_pruning"]], "save() (in module neural_compressor.compression.pruner)": [[200, "neural_compressor.compression.pruner.save"]], "generate_ffn2_pruning_config() (in module neural_compressor.compression.pruner.model_slim.auto_slim)": [[201, "neural_compressor.compression.pruner.model_slim.auto_slim.generate_ffn2_pruning_config"]], "generate_mha_pruning_config() (in module neural_compressor.compression.pruner.model_slim.auto_slim)": [[201, "neural_compressor.compression.pruner.model_slim.auto_slim.generate_mha_pruning_config"]], "model_slim() (in module neural_compressor.compression.pruner.model_slim.auto_slim)": [[201, "neural_compressor.compression.pruner.model_slim.auto_slim.model_slim"]], "model_slim_ffn2() (in module neural_compressor.compression.pruner.model_slim.auto_slim)": [[201, "neural_compressor.compression.pruner.model_slim.auto_slim.model_slim_ffn2"]], "model_slim_mha() (in module neural_compressor.compression.pruner.model_slim.auto_slim)": [[201, "neural_compressor.compression.pruner.model_slim.auto_slim.model_slim_mha"]], "neural_compressor.compression.pruner.model_slim.auto_slim": [[201, "module-neural_compressor.compression.pruner.model_slim.auto_slim"]], "parse_auto_slim_config() (in module neural_compressor.compression.pruner.model_slim.auto_slim)": [[201, "neural_compressor.compression.pruner.model_slim.auto_slim.parse_auto_slim_config"]], "neural_compressor.compression.pruner.model_slim": [[202, "module-neural_compressor.compression.pruner.model_slim"]], "classifierheadsearcher (class in neural_compressor.compression.pruner.model_slim.pattern_analyzer)": [[203, "neural_compressor.compression.pruner.model_slim.pattern_analyzer.ClassifierHeadSearcher"]], "classifierheadsearchertf (class in neural_compressor.compression.pruner.model_slim.pattern_analyzer)": [[203, "neural_compressor.compression.pruner.model_slim.pattern_analyzer.ClassifierHeadSearcherTF"]], "jitbasicsearcher (class in neural_compressor.compression.pruner.model_slim.pattern_analyzer)": [[203, "neural_compressor.compression.pruner.model_slim.pattern_analyzer.JitBasicSearcher"]], "linear2linearsearcher (class in neural_compressor.compression.pruner.model_slim.pattern_analyzer)": [[203, "neural_compressor.compression.pruner.model_slim.pattern_analyzer.Linear2LinearSearcher"]], "recipesearcher (class in neural_compressor.compression.pruner.model_slim.pattern_analyzer)": [[203, "neural_compressor.compression.pruner.model_slim.pattern_analyzer.RecipeSearcher"]], "selfmhasearcher (class in neural_compressor.compression.pruner.model_slim.pattern_analyzer)": [[203, "neural_compressor.compression.pruner.model_slim.pattern_analyzer.SelfMHASearcher"]], "current_pattern 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module neural_compressor.experimental.strategy.utils.tuning_space)": [[362, "neural_compressor.experimental.strategy.utils.tuning_space.quant_mode_from_pattern"]], "optuningconfig (class in neural_compressor.experimental.strategy.utils.tuning_structs)": [[363, "neural_compressor.experimental.strategy.utils.tuning_structs.OpTuningConfig"]], "neural_compressor.experimental.strategy.utils.tuning_structs": [[363, "module-neural_compressor.experimental.strategy.utils.tuning_structs"]], "ordereddefaultdict (class in neural_compressor.experimental.strategy.utils.utility)": [[364, "neural_compressor.experimental.strategy.utils.utility.OrderedDefaultDict"]], "extract_data_type() (in module neural_compressor.experimental.strategy.utils.utility)": [[364, "neural_compressor.experimental.strategy.utils.utility.extract_data_type"]], "get_adaptor_name() (in module neural_compressor.experimental.strategy.utils.utility)": [[364, 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(class in neural_compressor.metric.coco_tools)": [[369, "neural_compressor.metric.coco_tools.COCOWrapper"]], "exportsingleimagedetectionboxestococo() (in module neural_compressor.metric.coco_tools)": [[369, "neural_compressor.metric.coco_tools.ExportSingleImageDetectionBoxesToCoco"]], "exportsingleimagedetectionmaskstococo() (in module neural_compressor.metric.coco_tools)": [[369, "neural_compressor.metric.coco_tools.ExportSingleImageDetectionMasksToCoco"]], "exportsingleimagegroundtruthtococo() (in module neural_compressor.metric.coco_tools)": [[369, "neural_compressor.metric.coco_tools.ExportSingleImageGroundtruthToCoco"]], "dataset (neural_compressor.metric.coco_tools.cocowrapper attribute)": [[369, "neural_compressor.metric.coco_tools.COCOWrapper.dataset"]], "detection_type (neural_compressor.metric.coco_tools.cocowrapper attribute)": [[369, "neural_compressor.metric.coco_tools.COCOWrapper.detection_type"]], "neural_compressor.metric.coco_tools": [[369, 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module neural_compressor.mix_precision)": [[374, "neural_compressor.mix_precision.fit"]], "neural_compressor.mix_precision": [[374, "module-neural_compressor.mix_precision"]], "basemodel (class in neural_compressor.model.base_model)": [[375, "neural_compressor.model.base_model.BaseModel"]], "neural_compressor.model.base_model": [[375, "module-neural_compressor.model.base_model"]], "neural_compressor.model": [[376, "module-neural_compressor.model"]], "kerasmodel (class in neural_compressor.model.keras_model)": [[377, "neural_compressor.model.keras_model.KerasModel"]], "neural_compressor.model.keras_model": [[377, "module-neural_compressor.model.keras_model"]], "model (class in neural_compressor.model.model)": [[378, "neural_compressor.model.model.Model"]], "get_model_fwk_name() (in module neural_compressor.model.model)": [[378, "neural_compressor.model.model.get_model_fwk_name"]], "neural_compressor.model.model": [[378, "module-neural_compressor.model.model"]], "mxnetmodel (class in 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"objective_custom_registry() (in module neural_compressor.objective)": [[384, "neural_compressor.objective.objective_custom_registry"]], "objective_registry() (in module neural_compressor.objective)": [[384, "neural_compressor.objective.objective_registry"]], "neural_compressor.onnxrt.algorithms": [[385, "module-neural_compressor.onnxrt.algorithms"]], "layer_wise_quant() (in module neural_compressor.onnxrt.algorithms.layer_wise.core)": [[386, "neural_compressor.onnxrt.algorithms.layer_wise.core.layer_wise_quant"]], "neural_compressor.onnxrt.algorithms.layer_wise.core": [[386, "module-neural_compressor.onnxrt.algorithms.layer_wise.core"]], "neural_compressor.onnxrt.algorithms.layer_wise": [[387, "module-neural_compressor.onnxrt.algorithms.layer_wise"]], "calibrator (class in neural_compressor.onnxrt.algorithms.smoother.calibrator)": [[388, "neural_compressor.onnxrt.algorithms.smoother.calibrator.Calibrator"]], "neural_compressor.onnxrt.algorithms.smoother.calibrator": [[388, 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neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.make_matmul_weight_only_node"]], "neural_compressor.onnxrt.algorithms.weight_only.utility": [[395, "module-neural_compressor.onnxrt.algorithms.weight_only.utility"]], "pad_tensor() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.pad_tensor"]], "prepare_inputs() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.prepare_inputs"]], "qdq_tensor() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.qdq_tensor"]], "quant_tensor() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.quant_tensor"]], "neural_compressor.onnxrt": [[396, 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"module-neural_compressor.onnxrt.quantization.quantize"]], "neural_compressor.onnxrt.utils": [[403, "module-neural_compressor.onnxrt.utils"]], "onnxmodel (class in neural_compressor.onnxrt.utils.onnx_model)": [[404, "neural_compressor.onnxrt.utils.onnx_model.ONNXModel"]], "neural_compressor.onnxrt.utils.onnx_model": [[404, "module-neural_compressor.onnxrt.utils.onnx_model"]], "check_model_with_infer_shapes() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.check_model_with_infer_shapes"]], "find_by_name() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.find_by_name"]], "get_qrange_for_qtype() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.get_qrange_for_qType"]], "is_b_transposed() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.is_B_transposed"]], "neural_compressor.onnxrt.utils.utility": [[405, "module-neural_compressor.onnxrt.utils.utility"]], "quantize_data() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.quantize_data"]], "register_algo() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.register_algo"]], "simple_progress_bar() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.simple_progress_bar"]], "neural_compressor.profiling": [[406, "module-neural_compressor.profiling"]], "parserfactory (class in neural_compressor.profiling.parser.factory)": [[407, "neural_compressor.profiling.parser.factory.ParserFactory"]], "neural_compressor.profiling.parser.factory": [[407, "module-neural_compressor.profiling.parser.factory"]], "neural_compressor.profiling.parser": [[408, "module-neural_compressor.profiling.parser"]], "onnxrtparserfactory (class in neural_compressor.profiling.parser.onnx_parser.factory)": [[409, "neural_compressor.profiling.parser.onnx_parser.factory.OnnxrtParserFactory"]], "neural_compressor.profiling.parser.onnx_parser.factory": [[409, "module-neural_compressor.profiling.parser.onnx_parser.factory"]], "neural_compressor.profiling.parser.onnx_parser": [[410, "module-neural_compressor.profiling.parser.onnx_parser"]], "onnxprofilingparser (class in neural_compressor.profiling.parser.onnx_parser.parser)": [[411, "neural_compressor.profiling.parser.onnx_parser.parser.OnnxProfilingParser"]], "neural_compressor.profiling.parser.onnx_parser.parser": [[411, "module-neural_compressor.profiling.parser.onnx_parser.parser"]], "profilingparser (class in neural_compressor.profiling.parser.parser)": [[412, "neural_compressor.profiling.parser.parser.ProfilingParser"]], "neural_compressor.profiling.parser.parser": [[412, "module-neural_compressor.profiling.parser.parser"]], "profilingresult (class in neural_compressor.profiling.parser.result)": [[413, "neural_compressor.profiling.parser.result.ProfilingResult"]], "neural_compressor.profiling.parser.result": [[413, "module-neural_compressor.profiling.parser.result"]], "tensorflowparserfactory (class in neural_compressor.profiling.parser.tensorflow_parser.factory)": [[414, "neural_compressor.profiling.parser.tensorflow_parser.factory.TensorFlowParserFactory"]], "neural_compressor.profiling.parser.tensorflow_parser.factory": [[414, "module-neural_compressor.profiling.parser.tensorflow_parser.factory"]], "neural_compressor.profiling.parser.tensorflow_parser": [[415, "module-neural_compressor.profiling.parser.tensorflow_parser"]], "tensorflowprofilingparser (class in neural_compressor.profiling.parser.tensorflow_parser.parser)": [[416, "neural_compressor.profiling.parser.tensorflow_parser.parser.TensorFlowProfilingParser"]], "neural_compressor.profiling.parser.tensorflow_parser.parser": [[416, "module-neural_compressor.profiling.parser.tensorflow_parser.parser"]], "profilerfactory (class in neural_compressor.profiling.profiler.factory)": [[417, "neural_compressor.profiling.profiler.factory.ProfilerFactory"]], "neural_compressor.profiling.profiler.factory": [[417, "module-neural_compressor.profiling.profiler.factory"]], "neural_compressor.profiling.profiler": [[418, "module-neural_compressor.profiling.profiler"]], "profilerfactory (class in neural_compressor.profiling.profiler.onnxrt_profiler.factory)": [[419, "neural_compressor.profiling.profiler.onnxrt_profiler.factory.ProfilerFactory"]], "neural_compressor.profiling.profiler.onnxrt_profiler.factory": [[419, "module-neural_compressor.profiling.profiler.onnxrt_profiler.factory"]], "neural_compressor.profiling.profiler.onnxrt_profiler": [[420, "module-neural_compressor.profiling.profiler.onnxrt_profiler"]], "profiler (class in neural_compressor.profiling.profiler.onnxrt_profiler.profiler)": [[421, 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"neural_compressor.profiling.profiler.tensorflow_profiler.factory": [[424, "module-neural_compressor.profiling.profiler.tensorflow_profiler.factory"]], "neural_compressor.profiling.profiler.tensorflow_profiler": [[425, "module-neural_compressor.profiling.profiler.tensorflow_profiler"]], "profiler (class in neural_compressor.profiling.profiler.tensorflow_profiler.profiler)": [[426, "neural_compressor.profiling.profiler.tensorflow_profiler.profiler.Profiler"]], "neural_compressor.profiling.profiler.tensorflow_profiler.profiler": [[426, "module-neural_compressor.profiling.profiler.tensorflow_profiler.profiler"]], "create_tf_config() (in module neural_compressor.profiling.profiler.tensorflow_profiler.utils)": [[427, "neural_compressor.profiling.profiler.tensorflow_profiler.utils.create_tf_config"]], "delete_assign() (in module neural_compressor.profiling.profiler.tensorflow_profiler.utils)": [[427, "neural_compressor.profiling.profiler.tensorflow_profiler.utils.delete_assign"]], 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neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.TuningSpace"]], "initial_tuning_cfg_with_quant_mode() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.initial_tuning_cfg_with_quant_mode"]], "neural_compressor.strategy.utils.tuning_space": [[444, "module-neural_compressor.strategy.utils.tuning_space"]], "pattern_to_internal() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.pattern_to_internal"]], "pattern_to_path() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.pattern_to_path"]], "quant_mode_from_pattern() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.quant_mode_from_pattern"]], "optuningconfig (class in neural_compressor.strategy.utils.tuning_structs)": [[445, 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"neural_compressor.template.api_doc_example.ExampleClass.attr2"]], "attr5 (neural_compressor.template.api_doc_example.exampleclass attribute)": [[447, "neural_compressor.template.api_doc_example.ExampleClass.attr5"]], "attribute1 (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.attribute1"]], "function1() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.function1"]], "function2() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.function2"]], "function3() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.function3"]], "generator1() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.generator1"]], "module_debug_level1 (in module neural_compressor.template.api_doc_example)": [[447, 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"neural_compressor.torch.quantization.algorithm_entry": [[619, "module-neural_compressor.torch.quantization.algorithm_entry"]], "rtn_entry() (in module neural_compressor.torch.quantization.algorithm_entry)": [[619, "neural_compressor.torch.quantization.algorithm_entry.rtn_entry"]], "autotune() (in module neural_compressor.torch.quantization.autotune)": [[620, "neural_compressor.torch.quantization.autotune.autotune"]], "neural_compressor.torch.quantization.autotune": [[620, "module-neural_compressor.torch.quantization.autotune"]], "gptqconfig (class in neural_compressor.torch.quantization.config)": [[621, "neural_compressor.torch.quantization.config.GPTQConfig"]], "hqqconfig (class in neural_compressor.torch.quantization.config)": [[621, "neural_compressor.torch.quantization.config.HQQConfig"]], "rtnconfig (class in neural_compressor.torch.quantization.config)": [[621, "neural_compressor.torch.quantization.config.RTNConfig"]], "get_default_gptq_config() (in module 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"neural_compressor.utils.collect_layer_histogram": [[631, "module-neural_compressor.utils.collect_layer_histogram"]], "neural_compressor.utils.constant": [[632, "module-neural_compressor.utils.constant"]], "create_dataloader() (in module neural_compressor.utils.create_obj_from_config)": [[633, "neural_compressor.utils.create_obj_from_config.create_dataloader"]], "create_dataset() (in module neural_compressor.utils.create_obj_from_config)": [[633, "neural_compressor.utils.create_obj_from_config.create_dataset"]], "create_eval_func() (in module neural_compressor.utils.create_obj_from_config)": [[633, "neural_compressor.utils.create_obj_from_config.create_eval_func"]], "create_train_func() (in module neural_compressor.utils.create_obj_from_config)": [[633, "neural_compressor.utils.create_obj_from_config.create_train_func"]], "get_algorithm() (in module neural_compressor.utils.create_obj_from_config)": [[633, "neural_compressor.utils.create_obj_from_config.get_algorithm"]], 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613, 624, 635, 651, 653, 672, 683, 684, 728, 731, 734, 740, 741, 742], "quantiz": [2, 11, 13, 14, 16, 17, 42, 43, 44, 48, 49, 88, 92, 94, 96, 99, 107, 112, 113, 114, 115, 116, 117, 118, 119, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 150, 151, 152, 153, 154, 155, 159, 160, 161, 164, 165, 170, 172, 176, 178, 180, 185, 188, 231, 232, 235, 236, 260, 267, 274, 278, 279, 302, 310, 311, 312, 322, 349, 355, 361, 365, 386, 388, 389, 391, 392, 394, 395, 405, 433, 435, 437, 446, 450, 451, 453, 455, 456, 574, 583, 586, 590, 591, 592, 595, 596, 597, 598, 599, 606, 610, 611, 612, 613, 630, 631, 635, 636, 640, 641, 651, 658, 670, 671, 672, 677, 678, 681, 683, 684, 688, 691, 692, 697, 699, 700, 703, 716, 718, 719, 721, 727, 729, 735, 738, 739, 740, 741, 742], "smooth_quant": [2, 17, 157, 165, 175, 231, 232, 365, 596, 670, 731, 737], "weight_onli": [2, 17, 232, 640, 650, 670, 732, 734], "tf_util": 2, "graph_rewrit": [2, 111], "bf16": [2, 44, 87, 111, 151, 231, 232, 362, 391, 392, 394, 395, 444, 513, 651, 652, 681, 689, 694, 699, 703, 709, 733, 740, 743], "gener": [2, 13, 48, 49, 87, 111, 122, 148, 152, 165, 178, 182, 203, 223, 235, 236, 237, 246, 249, 250, 251, 252, 264, 278, 279, 280, 289, 292, 293, 294, 295, 305, 313, 321, 352, 366, 374, 400, 423, 428, 432, 447, 467, 471, 474, 475, 513, 543, 566, 568, 592, 596, 599, 621, 629, 630, 646, 647, 651, 653, 671, 675, 688, 689, 690, 692, 697, 702, 704, 706, 707, 709, 711, 712, 726, 728, 729, 731, 733, 734, 737, 738, 739, 740], "int8": [2, 18, 19, 43, 44, 87, 111, 123, 124, 125, 131, 133, 134, 135, 136, 143, 148, 172, 177, 178, 231, 232, 260, 302, 308, 309, 310, 362, 364, 391, 392, 394, 395, 405, 444, 446, 467, 471, 513, 544, 545, 546, 552, 554, 555, 556, 557, 561, 566, 613, 640, 641, 646, 647, 650, 651, 652, 653, 668, 672, 676, 681, 687, 689, 690, 694, 697, 699, 700, 703, 709, 712, 714, 729, 730, 731, 733, 734, 735, 736, 737, 738, 739, 742], "onnx": [2, 14, 15, 16, 29, 41, 43, 44, 87, 111, 142, 176, 231, 232, 243, 286, 308, 309, 310, 374, 381, 386, 389, 391, 392, 394, 395, 397, 398, 404, 405, 422, 639, 646, 650, 651, 652, 654, 671, 674, 678, 679, 681, 682, 684, 690, 691, 694, 699, 700, 712, 729, 730, 734, 735, 737, 740], "qdq": [2, 42, 87, 111, 112, 113, 142, 165, 172, 231, 232, 308, 309, 310, 455, 513, 532, 533, 534, 613, 651, 674, 679, 684, 699, 700, 731, 735, 737], "graph_bas": [2, 87, 111, 513], "quantize_graph": [2, 111, 532], "qat": [2, 111, 112, 163, 232, 322, 382, 532, 533, 571, 676, 677, 684, 689, 731], "quantize_graph_bas": [2, 111, 112, 532, 533], "quantize_graph_bn": [2, 111, 112, 532, 533], "quantize_graph_concatv2": [2, 111, 112, 532, 533], "quantize_graph_conv": [2, 111, 112, 532, 533], "quantize_graph_for_intel_cpu": [2, 111, 112, 532, 533], "quantize_graph_matmul": [2, 111, 112, 532, 533], "quantize_graph_pool": [2, 111, 112, 532, 533], "transform_graph": [2, 111, 532], "bias_correct": [2, 111, 145, 532, 563], "graph_transform_bas": [2, 111, 145, 532, 563], "insert_log": [2, 111, 145, 532, 563], "rerange_quantized_concat": [2, 111, 145, 532, 563], "graph_convert": [2, 111, 532], "graph_converter_without_calib": [2, 111, 532], "graph_util": [2, 111, 532], "quantize_graph_common": [2, 111, 532], "smooth_quant_calibr": [2, 111], "smooth_quant_scal": [2, 111], "tf2onnx_convert": [2, 111], "torch_util": [2, 268, 312, 365, 650, 732, 737], "layer_wise_qu": [2, 154, 232, 386, 400, 732], "modified_pickl": [2, 154, 155, 582, 583], "torch_load": [2, 154, 155], "bf16_convert": [2, 52, 87, 111, 154, 478, 513], "hawq_metr": [2, 154], "model_wrapp": [2, 15, 154, 569], "pattern_detector": [2, 154], "symbolic_trac": [2, 154], "tensorflow": [2, 52, 54, 75, 76, 77, 87, 95, 101, 102, 103, 104, 105, 106, 110, 111, 112, 114, 117, 130, 140, 141, 142, 145, 148, 189, 191, 222, 231, 232, 246, 247, 248, 249, 252, 254, 256, 264, 271, 289, 290, 291, 292, 295, 297, 299, 305, 309, 310, 311, 314, 316, 320, 321, 322, 348, 356, 367, 369, 373, 374, 382, 421, 422, 426, 427, 428, 438, 641, 646, 648, 650, 651, 652, 669, 670, 671, 674, 675, 676, 678, 681, 682, 684, 685, 689, 690, 691, 699, 700, 711, 714, 728, 729, 730, 736, 737, 740, 742], "kerasadaptor": [3, 455], "mxnetadaptor": 11, "do": [11, 14, 152, 188, 219, 231, 232, 246, 247, 289, 290, 306, 310, 313, 316, 346, 366, 369, 590, 599, 640, 645, 652, 670, 672, 677, 681, 684, 688, 689, 704, 707, 728, 733, 735, 737, 740], "inspect": [11, 14, 735, 738], "tensor": [11, 13, 14, 15, 16, 43, 44, 70, 105, 140, 148, 153, 158, 159, 165, 172, 198, 200, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 220, 222, 232, 264, 305, 308, 310, 343, 345, 355, 382, 395, 437, 450, 496, 566, 571, 573, 584, 586, 590, 592, 596, 613, 614, 624, 636, 640, 641, 647, 653, 670, 671, 672, 674, 728, 731, 735, 738, 739, 740], "dict": [11, 13, 14, 44, 45, 116, 148, 151, 152, 153, 158, 165, 172, 173, 178, 186, 191, 195, 198, 200, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 226, 228, 229, 231, 232, 235, 236, 246, 265, 271, 278, 279, 289, 308, 310, 315, 316, 317, 318, 320, 323, 326, 327, 328, 335, 338, 340, 343, 344, 345, 346, 347, 352, 355, 361, 364, 368, 369, 370, 371, 373, 374, 382, 386, 391, 392, 394, 400, 428, 443, 446, 447, 456, 467, 471, 537, 566, 571, 573, 584, 590, 592, 596, 597, 598, 599, 611, 613, 619, 630, 631, 633, 640, 641, 647, 652, 670, 679, 688, 728, 730, 731, 737, 738, 740], "specif": [11, 14, 42, 46, 104, 116, 172, 178, 179, 191, 223, 227, 231, 232, 247, 248, 249, 250, 254, 256, 271, 290, 291, 292, 293, 297, 299, 329, 330, 332, 333, 334, 373, 428, 537, 568, 611, 614, 638, 645, 648, 651, 652, 669, 670, 671, 674, 675, 681, 683, 687, 688, 689, 690, 691, 692, 696, 697, 699, 703, 709, 711, 717, 726, 728, 730, 734, 740, 742], "configur": [11, 13, 14, 45, 118, 151, 165, 172, 178, 179, 223, 228, 231, 232, 235, 236, 238, 249, 252, 265, 270, 278, 279, 292, 295, 306, 310, 311, 322, 323, 324, 326, 335, 340, 344, 348, 349, 355, 373, 374, 384, 428, 437, 446, 469, 473, 539, 590, 592, 596, 597, 611, 624, 630, 632, 633, 639, 640, 647, 648, 651, 652, 672, 674, 689, 696, 710, 717, 722, 723, 724, 726, 728, 731, 734, 735, 737, 739, 740, 743], "mxnet": [12, 13, 16, 232, 242, 246, 249, 252, 256, 264, 285, 289, 292, 295, 299, 305, 311, 320, 348, 373, 374, 379, 428, 646, 650, 651, 652, 669, 671, 678, 681, 684, 689, 690, 691, 730, 740, 742], "init": [12, 17, 42, 175, 190, 200, 202, 224, 672, 688, 740], "optyp": [13, 231, 232, 308, 652], "enum": 13, "type": [13, 16, 42, 43, 44, 45, 74, 96, 105, 116, 122, 132, 140, 148, 151, 152, 153, 158, 165, 172, 173, 182, 186, 189, 191, 195, 196, 199, 203, 204, 205, 210, 219, 220, 221, 223, 226, 229, 231, 232, 245, 247, 249, 256, 264, 266, 271, 288, 290, 292, 299, 305, 310, 313, 314, 316, 320, 327, 334, 338, 343, 345, 347, 352, 358, 362, 364, 366, 367, 369, 373, 382, 384, 386, 391, 392, 394, 395, 405, 432, 433, 440, 444, 446, 447, 450, 469, 473, 500, 522, 537, 543, 553, 566, 571, 573, 584, 590, 596, 597, 598, 599, 611, 613, 614, 629, 640, 641, 651, 652, 672, 674, 677, 679, 681, 684, 689, 690, 710, 712, 717, 718, 722, 723, 731, 732, 734, 736, 739, 740, 741, 742], "isiter": 13, "obj": [13, 105, 200, 223, 246, 289, 306, 311, 322, 323, 324, 326, 335, 340, 344, 348, 374, 384, 428, 630, 633, 641], "bool": [13, 42, 43, 44, 141, 148, 152, 158, 163, 165, 172, 187, 199, 205, 231, 232, 247, 249, 260, 264, 290, 292, 302, 305, 310, 314, 320, 343, 361, 367, 373, 391, 392, 394, 400, 405, 443, 447, 453, 467, 471, 566, 584, 597, 598, 599, 611, 613, 614, 621, 624, 636, 640, 641, 671, 672, 688, 720, 730, 739], "check": [13, 44, 67, 68, 105, 148, 165, 172, 223, 238, 249, 292, 308, 344, 405, 493, 494, 566, 573, 592, 596, 598, 640, 641, 650, 674, 677, 685, 693, 695, 697, 704, 707, 708, 712, 715, 718, 719, 735], "whether": [13, 43, 44, 105, 116, 148, 152, 158, 165, 172, 205, 231, 232, 245, 247, 260, 264, 288, 290, 302, 305, 314, 316, 320, 343, 367, 369, 373, 391, 392, 394, 405, 537, 566, 573, 584, 591, 597, 598, 599, 611, 613, 614, 633, 636, 640, 641, 651, 672, 688, 731, 734, 737, 739], "object": [13, 42, 43, 44, 45, 74, 86, 105, 116, 132, 148, 151, 153, 156, 158, 163, 165, 178, 186, 188, 198, 200, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 228, 229, 231, 232, 235, 236, 237, 247, 248, 249, 264, 265, 267, 278, 279, 280, 290, 291, 292, 305, 306, 311, 316, 324, 326, 329, 330, 332, 333, 334, 335, 340, 343, 344, 345, 346, 347, 348, 352, 365, 369, 373, 374, 382, 383, 422, 427, 428, 432, 446, 500, 512, 537, 553, 566, 568, 571, 573, 584, 585, 590, 596, 601, 613, 629, 630, 633, 640, 641, 647, 648, 652, 658, 668, 670, 671, 672, 680, 688, 689, 691, 727, 728, 730, 731, 739, 740, 741, 743], "i": [13, 43, 44, 45, 48, 49, 51, 54, 55, 60, 64, 70, 82, 85, 105, 132, 143, 148, 152, 153, 156, 158, 160, 163, 165, 172, 177, 178, 180, 182, 188, 191, 192, 198, 199, 203, 204, 210, 215, 216, 217, 218, 219, 220, 222, 223, 231, 232, 235, 236, 237, 245, 246, 247, 248, 249, 250, 251, 254, 256, 260, 264, 265, 267, 271, 273, 274, 278, 279, 280, 288, 289, 290, 291, 292, 293, 294, 297, 299, 302, 305, 313, 316, 318, 320, 322, 327, 335, 340, 344, 345, 349, 356, 366, 369, 371, 373, 374, 384, 395, 398, 405, 411, 412, 416, 428, 433, 438, 446, 447, 474, 475, 477, 480, 481, 486, 490, 496, 508, 511, 553, 561, 566, 568, 573, 584, 585, 596, 597, 598, 599, 601, 611, 613, 614, 630, 636, 640, 641, 645, 646, 647, 648, 650, 651, 652, 653, 654, 656, 660, 663, 666, 668, 669, 670, 671, 672, 674, 675, 676, 677, 679, 680, 681, 684, 685, 686, 688, 689, 690, 691, 692, 693, 694, 695, 697, 698, 700, 702, 703, 704, 706, 707, 709, 710, 711, 712, 714, 715, 716, 717, 718, 719, 720, 722, 724, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 742, 743], "iter": [13, 15, 105, 140, 148, 165, 172, 178, 204, 210, 217, 221, 231, 232, 235, 236, 240, 245, 249, 250, 267, 278, 279, 283, 288, 292, 293, 345, 347, 374, 388, 428, 450, 469, 473, 566, 568, 596, 597, 598, 601, 613, 630, 633, 647, 648, 651, 668, 671, 672, 689, 728, 730, 731, 737, 738, 740, 742], "return": [13, 16, 44, 45, 54, 67, 68, 70, 74, 105, 116, 148, 151, 152, 153, 158, 163, 165, 171, 172, 173, 178, 186, 189, 191, 195, 196, 199, 200, 203, 205, 206, 210, 213, 219, 220, 221, 223, 226, 229, 235, 236, 249, 256, 260, 264, 265, 266, 271, 278, 279, 292, 299, 302, 305, 310, 313, 314, 316, 317, 318, 320, 326, 327, 334, 338, 343, 344, 345, 347, 352, 358, 362, 364, 366, 367, 369, 370, 371, 373, 374, 378, 382, 384, 386, 391, 392, 394, 395, 400, 405, 422, 427, 428, 432, 440, 444, 446, 447, 467, 469, 471, 473, 480, 493, 494, 496, 500, 537, 566, 571, 573, 584, 590, 591, 592, 596, 597, 598, 599, 601, 611, 613, 621, 624, 629, 630, 633, 638, 640, 641, 647, 648, 652, 653, 671, 672, 677, 688, 691, 722, 723, 724, 726, 728, 731, 734, 737, 738, 740], "true": [13, 43, 44, 85, 113, 146, 148, 152, 158, 172, 178, 195, 199, 231, 232, 245, 247, 249, 250, 263, 264, 265, 288, 290, 292, 293, 304, 305, 310, 314, 320, 338, 361, 367, 373, 384, 391, 392, 394, 400, 428, 443, 447, 467, 471, 511, 534, 564, 566, 568, 584, 591, 592, 597, 598, 599, 611, 612, 613, 614, 621, 624, 633, 636, 640, 641, 650, 652, 671, 672, 674, 677, 681, 688, 689, 692, 695, 696, 711, 712, 713, 714, 720, 722, 730, 731, 732, 734, 737, 738, 739, 740, 742], "els": [13, 148, 172, 232, 245, 288, 384, 566, 613, 638, 697, 734, 738], "fals": [13, 15, 41, 42, 43, 44, 47, 48, 49, 71, 72, 89, 92, 99, 102, 103, 105, 113, 131, 136, 143, 146, 147, 148, 150, 152, 157, 158, 163, 165, 172, 178, 189, 192, 225, 231, 232, 237, 239, 242, 243, 244, 246, 247, 249, 260, 264, 265, 266, 267, 273, 280, 282, 285, 286, 287, 289, 290, 292, 302, 305, 316, 320, 369, 373, 384, 392, 394, 400, 405, 428, 447, 456, 471, 474, 475, 497, 498, 515, 518, 525, 534, 552, 557, 561, 564, 565, 566, 568, 584, 592, 596, 597, 598, 599, 611, 613, 621, 633, 636, 640, 641, 651, 652, 671, 672, 681, 688, 689, 702, 706, 712, 720, 723, 724, 730, 731, 734, 737, 738, 739, 740, 742], "boolean": 13, "ensure_list": 13, "x": [13, 55, 74, 152, 204, 231, 232, 246, 264, 289, 305, 352, 432, 447, 481, 500, 599, 669, 670, 674, 677, 690, 691, 717, 718, 722, 723, 725, 731, 732, 737, 738, 739, 741], "ensur": [13, 264, 305, 352, 432, 597, 677, 731, 739], "list": [13, 42, 43, 44, 54, 105, 140, 148, 151, 152, 153, 162, 165, 178, 179, 180, 182, 196, 203, 204, 209, 214, 219, 223, 226, 231, 232, 235, 236, 240, 247, 260, 264, 265, 278, 279, 283, 290, 302, 305, 309, 310, 313, 314, 316, 317, 318, 320, 327, 335, 340, 343, 346, 361, 366, 367, 369, 370, 371, 373, 374, 382, 388, 389, 391, 392, 394, 395, 398, 400, 405, 411, 412, 416, 428, 443, 447, 450, 467, 471, 473, 480, 566, 571, 596, 599, 613, 621, 630, 631, 641, 647, 650, 651, 672, 679, 681, 685, 687, 689, 692, 697, 699, 702, 703, 706, 714, 717, 719, 720, 726, 728, 730, 731, 733, 737, 738, 740], "input": [13, 15, 42, 43, 44, 45, 54, 60, 64, 67, 68, 70, 71, 72, 74, 82, 83, 85, 86, 105, 109, 110, 116, 122, 141, 148, 151, 161, 163, 164, 165, 170, 171, 172, 176, 203, 204, 223, 231, 232, 235, 236, 247, 248, 249, 251, 260, 263, 264, 269, 278, 279, 290, 291, 292, 294, 302, 304, 305, 308, 309, 310, 373, 374, 378, 382, 389, 395, 398, 428, 453, 480, 486, 490, 493, 494, 496, 497, 498, 500, 508, 509, 511, 512, 530, 531, 537, 543, 566, 568, 571, 590, 592, 596, 597, 610, 611, 612, 613, 614, 624, 629, 630, 636, 638, 640, 641, 648, 651, 652, 668, 669, 671, 672, 674, 675, 676, 677, 679, 681, 683, 688, 689, 690, 691, 692, 697, 728, 730, 731, 734, 737, 738, 739, 742], "check_mx_vers": 13, "version": [13, 54, 104, 161, 165, 203, 232, 309, 310, 365, 480, 610, 645, 647, 651, 670, 681, 685, 686, 689, 702, 704, 706, 707, 729, 737, 740, 741], "str": [13, 42, 43, 44, 140, 151, 153, 158, 159, 162, 163, 165, 171, 172, 173, 179, 182, 186, 187, 189, 191, 200, 203, 226, 231, 232, 247, 248, 249, 256, 260, 264, 266, 270, 271, 290, 291, 292, 299, 302, 305, 309, 310, 313, 314, 316, 318, 320, 327, 338, 361, 364, 366, 367, 369, 371, 373, 386, 388, 389, 391, 392, 394, 395, 397, 398, 400, 405, 413, 421, 423, 426, 427, 443, 446, 447, 450, 467, 470, 471, 473, 573, 584, 586, 592, 596, 597, 611, 613, 614, 619, 621, 625, 629, 633, 636, 638, 641, 642, 670, 671, 672, 688, 720, 730, 738, 739], "mx": 13, "__version__": [13, 156, 585, 670], "combine_cap": 13, "current": [13, 70, 104, 170, 172, 198, 200, 203, 206, 210, 213, 231, 232, 322, 329, 330, 332, 333, 334, 343, 345, 352, 356, 432, 438, 496, 592, 613, 641, 647, 648, 651, 653, 669, 670, 677, 681, 689, 692, 696, 709, 717, 726, 728, 731, 734, 737, 740], "new": [13, 16, 44, 148, 171, 178, 182, 237, 249, 264, 265, 280, 292, 305, 344, 384, 395, 566, 568, 574, 592, 595, 613, 614, 625, 629, 646, 652, 677, 689, 690, 703, 709, 710, 711, 712, 718, 719, 722, 723, 728, 729, 731, 734, 735, 736, 739, 741, 742], "combin": [13, 165, 231, 232, 235, 236, 260, 274, 278, 279, 302, 374, 428, 573, 596, 630, 641, 647, 651, 684, 689, 727, 729, 731, 733, 734, 739, 740], "capabl": [13, 47, 362, 444, 456, 652, 653, 668, 681, 689, 690, 700, 711, 716, 728, 730, 731, 740, 742], "contain": [13, 67, 68, 70, 74, 139, 148, 153, 158, 165, 172, 178, 188, 200, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 221, 223, 231, 232, 235, 236, 247, 248, 249, 278, 279, 290, 291, 292, 306, 310, 311, 316, 317, 318, 322, 335, 338, 340, 343, 344, 345, 346, 347, 348, 369, 370, 371, 374, 428, 493, 494, 496, 500, 560, 566, 584, 592, 596, 598, 630, 633, 640, 650, 669, 672, 675, 684, 688, 710, 717, 722, 723, 724, 728, 734, 738, 740, 741], "make_nc_model": 13, "target": [13, 42, 43, 102, 152, 165, 203, 221, 223, 232, 344, 347, 352, 432, 455, 599, 636, 672, 677, 689, 728, 738, 739, 740, 742], "sym_model": 13, "ctx": 13, "input_desc": 13, "convert": [13, 43, 48, 49, 50, 53, 54, 55, 56, 57, 66, 74, 86, 99, 100, 102, 103, 104, 105, 131, 136, 140, 142, 151, 165, 203, 231, 232, 247, 260, 263, 264, 290, 302, 304, 305, 309, 316, 322, 344, 362, 369, 444, 447, 450, 455, 456, 474, 475, 476, 479, 480, 481, 482, 483, 492, 500, 512, 525, 526, 552, 557, 574, 595, 624, 647, 652, 689, 690, 694, 731, 733, 734, 737, 739, 740], "symbol": [13, 43, 151, 163, 165, 313, 366, 374, 428, 647, 691], "model": [13, 15, 16, 29, 41, 42, 43, 44, 45, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 69, 71, 72, 73, 74, 75, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 107, 108, 109, 116, 118, 140, 141, 142, 148, 150, 151, 152, 153, 157, 158, 159, 160, 162, 163, 164, 165, 170, 171, 172, 176, 178, 180, 188, 195, 200, 201, 203, 210, 211, 212, 215, 217, 218, 219, 221, 223, 225, 231, 232, 235, 236, 243, 246, 247, 249, 264, 265, 268, 269, 278, 279, 286, 289, 290, 292, 305, 306, 308, 309, 310, 311, 312, 320, 321, 322, 323, 326, 329, 330, 332, 333, 334, 335, 340, 344, 345, 346, 347, 348, 349, 352, 355, 356, 358, 365, 373, 374, 384, 386, 388, 389, 391, 392, 394, 395, 397, 398, 404, 405, 421, 426, 427, 428, 429, 432, 433, 437, 438, 440, 446, 447, 450, 453, 455, 469, 470, 473, 474, 475, 476, 477, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 495, 497, 498, 499, 500, 501, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 514, 515, 516, 517, 518, 519, 520, 522, 523, 524, 525, 526, 528, 529, 530, 537, 539, 566, 571, 573, 574, 584, 586, 590, 591, 592, 595, 596, 597, 598, 599, 611, 612, 613, 614, 619, 620, 624, 629, 630, 636, 638, 640, 641, 643, 646, 647, 648, 650, 651, 653, 658, 668, 669, 670, 671, 672, 674, 675, 676, 677, 678, 683, 684, 686, 688, 690, 692, 697, 699, 700, 703, 709, 711, 716, 718, 719, 720, 721, 726, 727, 729, 731, 735, 736, 738, 739, 740, 741, 742], "an": [13, 67, 68, 70, 105, 141, 143, 148, 153, 156, 158, 165, 172, 177, 192, 210, 231, 232, 240, 245, 249, 264, 268, 273, 283, 288, 292, 305, 312, 313, 317, 318, 326, 327, 349, 365, 366, 370, 371, 374, 422, 427, 428, 447, 453, 493, 494, 496, 561, 566, 584, 585, 597, 601, 613, 614, 625, 630, 641, 643, 645, 647, 648, 650, 651, 653, 669, 671, 672, 673, 674, 679, 687, 688, 689, 690, 692, 696, 697, 700, 709, 712, 713, 714, 717, 720, 726, 728, 729, 731, 734, 736, 737, 738, 739, 740], "neural": [13, 153, 178, 188, 191, 205, 206, 207, 208, 219, 231, 232, 259, 260, 261, 264, 265, 268, 271, 274, 302, 303, 305, 307, 312, 319, 320, 322, 335, 340, 343, 346, 348, 349, 354, 360, 365, 372, 373, 374, 378, 406, 428, 435, 436, 442, 570, 638, 643, 646, 651, 652, 653, 668, 669, 670, 672, 673, 675, 676, 677, 678, 679, 680, 681, 682, 683, 686, 687, 690, 691, 693, 694, 697, 699, 700, 702, 704, 706, 707, 708, 720, 726, 727, 729, 731, 734, 735, 737, 738, 739, 740, 742, 743], "compressor": [13, 178, 188, 191, 207, 208, 219, 231, 232, 259, 260, 261, 264, 265, 268, 271, 274, 302, 303, 305, 307, 312, 319, 320, 322, 343, 346, 348, 349, 354, 360, 365, 372, 373, 374, 378, 406, 428, 436, 442, 570, 638, 643, 646, 648, 651, 652, 653, 668, 669, 670, 672, 673, 675, 676, 677, 678, 679, 680, 681, 682, 683, 686, 687, 690, 691, 692, 693, 697, 699, 700, 702, 704, 706, 707, 708, 711, 712, 713, 714, 716, 717, 724, 726, 727, 728, 729, 731, 734, 735, 737, 738, 739, 740, 741, 742, 743], "tupl": [13, 105, 148, 165, 196, 232, 235, 236, 260, 264, 278, 279, 302, 305, 310, 361, 374, 395, 398, 428, 443, 470, 566, 590, 596, 601, 619, 630, 640, 652, 670, 672, 688, 689, 731, 739], "symnet": 13, "arg": [13, 54, 105, 165, 172, 247, 248, 249, 290, 291, 292, 343, 352, 386, 397, 432, 447, 480, 597, 599, 613, 619, 636, 637, 672, 677, 689, 698, 728, 731, 734, 737, 738, 739], "aux": 13, "data": [13, 42, 43, 44, 56, 105, 140, 148, 153, 158, 165, 170, 172, 176, 203, 231, 232, 235, 236, 265, 267, 278, 279, 310, 312, 352, 362, 364, 365, 374, 389, 395, 399, 405, 421, 426, 428, 432, 444, 446, 450, 469, 473, 482, 566, 569, 573, 584, 592, 596, 597, 613, 630, 633, 638, 641, 650, 651, 669, 671, 672, 677, 681, 682, 685, 688, 689, 690, 711, 712, 714, 717, 722, 723, 731, 733, 734, 735, 736, 737, 738, 739, 740, 741], "descript": [13, 132, 199, 447, 553, 647, 652, 653, 671, 717, 721, 737], "ncmodel": 13, "fuse": [13, 58, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 91, 92, 93, 94, 96, 131, 136, 163, 165, 176, 484, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 517, 518, 519, 520, 522, 552, 557, 596, 647, 737, 738], "suppli": 13, "get_framework_nam": 13, "get": [13, 42, 43, 44, 45, 67, 68, 70, 104, 105, 148, 152, 159, 165, 171, 178, 187, 191, 192, 196, 198, 200, 201, 203, 206, 213, 220, 221, 222, 223, 229, 232, 240, 264, 265, 271, 273, 283, 305, 310, 343, 345, 347, 355, 362, 364, 373, 382, 392, 399, 405, 428, 437, 444, 446, 467, 493, 494, 496, 566, 568, 571, 573, 586, 592, 596, 599, 608, 613, 629, 633, 636, 638, 641, 652, 669, 680, 684, 685, 687, 689, 695, 712, 714, 722, 723, 729, 734, 737, 740, 741, 744], "name": [13, 43, 45, 54, 67, 68, 70, 104, 105, 110, 116, 140, 148, 151, 152, 153, 158, 159, 163, 165, 171, 172, 173, 178, 179, 180, 182, 186, 192, 195, 196, 198, 203, 205, 210, 213, 214, 219, 220, 221, 222, 223, 226, 229, 231, 232, 247, 248, 249, 252, 256, 262, 264, 265, 269, 272, 273, 290, 291, 292, 295, 299, 305, 308, 309, 310, 315, 320, 338, 343, 345, 347, 362, 364, 368, 373, 378, 382, 384, 405, 428, 444, 446, 450, 480, 493, 494, 496, 531, 537, 566, 571, 573, 584, 586, 592, 596, 599, 613, 625, 629, 631, 633, 638, 641, 646, 647, 653, 670, 672, 674, 677, 679, 681, 686, 688, 689, 691, 695, 702, 706, 710, 711, 717, 728, 731, 735, 736, 738, 740, 742, 743], "context": [13, 614, 641, 730, 734], "prepare_model_data": 13, "nc_model": [13, 335, 340], "data_x": 13, "prepar": [13, 44, 165, 395, 574, 595, 624, 647, 672, 677, 682, 711, 722, 723, 724, 728, 731], "dataload": [13, 15, 42, 44, 140, 141, 150, 152, 153, 165, 170, 172, 178, 200, 201, 203, 219, 223, 225, 235, 236, 247, 258, 268, 278, 279, 290, 301, 306, 312, 335, 340, 349, 365, 388, 389, 398, 421, 426, 428, 450, 453, 568, 592, 597, 598, 599, 612, 613, 630, 633, 647, 650, 651, 652, 674, 675, 676, 677, 682, 683, 689, 690, 711, 712, 727, 728, 731, 732, 733, 734, 737, 738, 739, 741, 742], "need": [13, 42, 105, 109, 170, 172, 178, 182, 203, 219, 232, 235, 236, 237, 245, 246, 249, 256, 264, 267, 269, 270, 278, 279, 280, 288, 289, 292, 299, 305, 310, 349, 355, 373, 374, 384, 389, 428, 437, 530, 568, 590, 592, 598, 630, 640, 641, 647, 651, 670, 671, 672, 674, 675, 677, 684, 689, 692, 694, 695, 698, 702, 703, 704, 706, 707, 709, 710, 711, 712, 713, 714, 716, 720, 722, 728, 730, 731, 732, 733, 734, 735, 737, 739, 740, 742], "run": [13, 140, 148, 158, 172, 178, 210, 223, 231, 232, 235, 236, 246, 263, 265, 278, 279, 289, 304, 344, 345, 352, 374, 428, 432, 450, 566, 584, 599, 612, 614, 630, 650, 651, 668, 677, 680, 681, 689, 692, 694, 696, 697, 698, 700, 702, 703, 704, 706, 707, 709, 717, 718, 719, 720, 722, 723, 724, 729, 731, 734, 735, 736, 738, 740, 742], "loader": [13, 140, 235, 236, 278, 279, 374, 428, 450, 469, 473, 630, 636, 671, 731], "dataloaderwrap": 13, "prepare_model": 13, "create_data_exampl": 13, "creat": [13, 16, 105, 156, 182, 231, 232, 237, 247, 249, 267, 280, 290, 292, 316, 326, 327, 362, 369, 398, 422, 427, 444, 446, 447, 568, 585, 625, 633, 645, 648, 651, 672, 691, 702, 704, 706, 707, 710, 722, 723, 724, 728, 731, 736, 738, 740, 741], "exampl": [13, 44, 153, 158, 165, 172, 178, 179, 180, 182, 186, 196, 203, 204, 219, 231, 232, 247, 248, 249, 260, 264, 290, 291, 292, 302, 305, 316, 317, 318, 320, 346, 369, 370, 371, 373, 374, 384, 391, 392, 394, 405, 428, 446, 447, 573, 584, 590, 598, 611, 613, 625, 629, 630, 640, 641, 645, 650, 652, 653, 658, 683, 684, 692, 695, 696, 697, 700, 717, 720, 733, 735, 739, 740, 741, 744], "prepare_dataload": 13, "io": [13, 158, 584, 715], "ndarray_to_devic": 13, "ndarrai": [13, 42, 43, 67, 68, 70, 264, 305, 493, 494, 496, 631, 680, 739], "devic": [13, 79, 89, 90, 91, 92, 93, 94, 97, 107, 131, 136, 147, 152, 157, 158, 160, 165, 172, 200, 203, 204, 219, 223, 225, 231, 232, 505, 515, 516, 517, 518, 519, 520, 523, 528, 552, 557, 565, 584, 597, 599, 614, 636, 650, 652, 671, 675, 689, 690, 692, 695, 700, 709, 728, 730, 732, 734], "is_model_quant": 13, "query_quantizable_nod": 13, "queri": [13, 47, 148, 165, 203, 214, 231, 232, 455, 456, 566, 596, 652, 653, 719, 731], "node": [13, 42, 43, 44, 50, 54, 55, 56, 57, 60, 62, 64, 67, 68, 70, 74, 77, 80, 82, 83, 84, 98, 102, 103, 105, 110, 132, 140, 148, 203, 308, 310, 382, 395, 405, 427, 450, 476, 480, 481, 482, 483, 486, 488, 490, 493, 494, 496, 500, 503, 506, 508, 509, 510, 524, 531, 553, 566, 571, 651, 674, 677, 712, 716, 719, 722, 723, 724, 732, 738, 740, 743], "given": [13, 16, 43, 67, 68, 70, 104, 105, 116, 148, 159, 165, 226, 264, 305, 316, 369, 428, 493, 494, 496, 537, 566, 574, 586, 595, 601, 613, 624, 629, 648, 653, 728, 737, 739], "map": [13, 43, 105, 148, 158, 165, 186, 232, 264, 305, 308, 310, 311, 315, 317, 318, 320, 335, 340, 345, 348, 368, 370, 371, 373, 566, 584, 670, 672, 677, 688, 689, 702, 706, 714, 728, 731, 734], "quantize_sym_model": 13, "qconfig": [13, 165, 640, 734, 738], "accord": [13, 122, 165, 178, 231, 232, 247, 248, 249, 264, 290, 291, 292, 305, 355, 435, 437, 543, 574, 595, 633, 648, 651, 672, 677, 712, 717, 722, 723, 724, 728, 733, 737, 739, 740], "run_forward": 13, "b_filter": 13, "collector": [13, 153, 631], "none": [13, 41, 43, 44, 45, 47, 48, 49, 63, 89, 102, 104, 105, 110, 116, 142, 148, 150, 152, 153, 157, 158, 159, 160, 161, 164, 165, 170, 172, 178, 179, 180, 182, 187, 188, 189, 196, 198, 200, 201, 203, 207, 219, 223, 225, 227, 228, 229, 231, 232, 235, 236, 237, 239, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 254, 260, 264, 265, 266, 267, 274, 278, 279, 280, 282, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 297, 302, 305, 306, 309, 310, 311, 316, 320, 321, 322, 323, 326, 335, 340, 344, 348, 352, 355, 356, 358, 362, 369, 373, 374, 384, 386, 398, 421, 426, 427, 428, 429, 432, 433, 437, 438, 440, 444, 447, 455, 456, 467, 469, 470, 471, 473, 474, 475, 489, 515, 531, 537, 566, 568, 573, 574, 584, 586, 592, 596, 597, 598, 599, 608, 610, 612, 613, 614, 620, 621, 624, 630, 631, 633, 636, 638, 640, 641, 650, 651, 652, 671, 672, 688, 712, 731, 734, 738, 739, 740], "pre_batch": 13, "post_batch": 13, "forward": [13, 165, 223, 614, 652, 689, 711, 728, 730, 731, 734, 737, 738], "propag": [13, 100, 526], "filter": [13, 247, 248, 249, 250, 251, 252, 254, 258, 290, 291, 292, 293, 294, 295, 297, 301, 312, 365, 568, 573, 641, 653, 672, 684, 728, 738], "which": [13, 42, 56, 83, 110, 152, 153, 158, 170, 172, 179, 198, 203, 204, 206, 210, 211, 212, 214, 217, 218, 219, 221, 223, 231, 232, 247, 248, 249, 260, 265, 290, 291, 292, 302, 313, 318, 327, 329, 330, 332, 333, 334, 338, 343, 344, 345, 347, 352, 366, 371, 373, 378, 384, 389, 392, 405, 428, 432, 482, 509, 531, 573, 584, 592, 598, 599, 629, 641, 645, 647, 648, 650, 651, 652, 653, 669, 671, 672, 674, 675, 677, 680, 681, 684, 688, 689, 690, 691, 693, 697, 700, 703, 709, 710, 711, 714, 717, 722, 723, 724, 727, 728, 730, 731, 732, 733, 734, 735, 737, 738, 739, 740, 741, 742], "batch": [13, 165, 172, 237, 239, 240, 245, 246, 267, 280, 282, 283, 288, 289, 568, 597, 613, 630, 671, 675, 676, 689, 727, 728, 731, 737, 739, 740, 743], "infer": [13, 43, 105, 140, 165, 172, 203, 311, 348, 382, 384, 405, 428, 450, 571, 596, 598, 613, 614, 630, 650, 651, 652, 669, 675, 676, 689, 690, 709, 726, 728, 729, 731, 734, 737, 738, 740], "collect": [13, 16, 43, 165, 180, 187, 262, 264, 267, 269, 270, 272, 305, 318, 320, 371, 373, 573, 595, 631, 641, 652, 731, 738, 740], "inform": [13, 153, 198, 200, 203, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 232, 235, 236, 267, 269, 270, 278, 279, 343, 345, 346, 347, 349, 373, 388, 641, 645, 646, 649, 650, 651, 652, 653, 654, 656, 660, 663, 666, 669, 670, 675, 681, 689, 691, 704, 707, 710, 711, 714, 715, 717, 718, 722, 723, 728, 733, 734, 735, 737, 738, 742, 743, 744], "dure": [13, 156, 158, 205, 209, 221, 231, 232, 343, 347, 384, 398, 584, 585, 624, 641, 652, 674, 689, 691, 716, 726, 727, 728, 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165, 231, 232, 247, 248, 249, 290, 291, 292, 310, 316, 322, 362, 369, 444, 447, 455, 456, 480, 566, 597, 636, 650, 652, 653, 670, 672, 677, 679, 688, 689, 690, 691, 692, 714, 717, 729, 731, 734, 735], "float16activationoper": 18, "float16": [18, 21, 43, 614, 636, 672, 734], "argmaxoper": 19, "qargmaxoper": 19, "attentionoper": 20, "qattentionoper": 20, "qattent": 20, "binari": [21, 148, 320, 373, 566, 680, 688, 704, 707, 735], "binaryoper": 21, "binarydirect8bitoper": 21, "qbinaryoper": 21, "qbinari": 21, "float16binaryoper": 21, "concatoper": 22, "qconcatoper": 22, "qconcat": 22, "convoper": 23, "qconvoper": 23, "qlinearconv": 23, "direct8bit": 24, "direct8bitoper": 24, "qdirectoper": 24, "qdirect": 24, "embedlayernorm": 25, "embedlayernormalizationoper": 25, "qembedlayernormalizationoper": 25, "qembedlayernorm": 25, "gatheroper": 26, "qgatheroper": 26, "qgather": 26, "globalaveragepool": 27, "globalaveragepooloper": 27, "qglobalaveragepooloper": 27, "qlinearglobalaveragepool": 27, "gemmoper": 28, "qgemmoper": 28, "qgemm": 28, "lstmoper": 30, "matmuloper": 31, "qmatmuloper": 31, "qlinearmatmul": 31, "fusedmatmuloper": 31, "fusedmatmul": 31, "maxpooloper": 32, "qmaxpooloper": 32, "qmaxpool": 32, "batchnormalizationoper": 33, "batchnorm": [33, 62, 67, 121, 488, 493, 542, 647, 737], "normalizationoper": 33, "op_registri": 34, "op_typ": [34, 140, 141, 148, 226, 363, 400, 445, 450, 453, 471, 566, 596], "qop_registri": 34, "padoper": 35, "qpadoper": 35, "qpad": 35, "averagepool": 36, "pooloper": 36, "qpooloper": 36, "qlinearaveragepool": 36, "reduceoper": 37, "reduceminmaxoper": 37, "reducemin": 37, "reducemax": 37, "resizeoper": 38, "qresizeoper": 38, "qresiz": 38, "splitoper": 39, "qsplitoper": 39, "qsplit": 39, "unari": 40, "unaryoper": 40, "unarydirect8bitoper": 40, "q_config": [41, 165, 310, 651], "mode": [41, 42, 43, 45, 110, 158, 170, 256, 299, 316, 362, 369, 382, 389, 405, 444, 531, 571, 584, 592, 624, 629, 638, 640, 641, 651, 652, 674, 684, 702, 706, 714, 715, 731, 733, 734, 740], "static": [41, 42, 47, 170, 176, 203, 232, 310, 362, 389, 428, 444, 455, 456, 467, 469, 471, 592, 624, 651, 652, 653, 674, 679, 684, 689, 692, 697, 698, 699, 700, 703, 709, 712, 720, 722, 723, 724, 732, 737, 740, 743], "quantization_param": 41, "op_types_to_quant": 41, "fallback_list": 41, "fp32": [41, 42, 44, 79, 131, 136, 143, 165, 172, 177, 231, 232, 235, 236, 278, 279, 309, 310, 320, 355, 362, 373, 391, 392, 394, 395, 400, 433, 437, 444, 469, 473, 505, 552, 557, 561, 573, 590, 598, 611, 613, 633, 636, 640, 641, 646, 651, 653, 674, 681, 682, 687, 688, 689, 690, 699, 711, 712, 713, 714, 730, 731, 733, 734, 735, 736, 737, 738, 740, 742, 743], "add_qdq_pair_to_weight": [41, 231, 232, 731], "optypes_to_exclude_output_qu": [41, 231, 232, 731], "dedicated_qdq_pair": [41, 231, 232, 731], "smoothquant": [42, 165, 170, 171, 176, 389, 451, 592, 650, 687, 729, 734, 741], "onnxrt": [42, 43, 44, 247, 249, 256, 264, 290, 292, 299, 305, 320, 373, 421, 639, 651, 674, 690, 711, 731, 743], "get_quant_dequant_output": 42, "input_data": [42, 671], "output_data": 42, "loss": [42, 180, 189, 231, 232, 266, 311, 320, 335, 340, 348, 373, 614, 630, 669, 674, 675, 676, 677, 678, 687, 688, 689, 690, 700, 712, 714, 727, 728, 729, 731, 734, 737, 740, 742], "output": [42, 43, 44, 51, 54, 59, 74, 98, 105, 110, 148, 165, 171, 172, 192, 203, 204, 209, 223, 229, 231, 232, 235, 236, 269, 273, 278, 279, 309, 310, 313, 343, 366, 373, 374, 382, 395, 428, 477, 480, 485, 500, 524, 531, 566, 571, 573, 592, 596, 611, 613, 614, 624, 630, 636, 637, 641, 647, 651, 652, 675, 676, 677, 679, 681, 683, 688, 689, 691, 700, 709, 710, 712, 717, 718, 722, 723, 724, 727, 728, 730, 731, 734, 735, 737, 738, 739, 740, 742], "numpi": [42, 43, 67, 68, 70, 105, 148, 264, 305, 316, 327, 369, 395, 493, 494, 496, 566, 680, 737, 739], "7": [42, 172, 178, 199, 231, 232, 384, 400, 405, 613, 653, 668, 680, 681, 689, 728, 731, 735, 737, 740, 743], "bit": [42, 44, 150, 165, 172, 231, 232, 391, 392, 394, 395, 405, 446, 597, 598, 611, 613, 621, 650, 653, 669, 676, 690, 729, 731, 734, 737], "execut": [42, 43, 54, 152, 158, 178, 210, 211, 212, 231, 232, 345, 349, 351, 392, 427, 428, 429, 431, 480, 574, 584, 591, 595, 599, 630, 633, 640, 641, 674, 675, 676, 689, 690, 694, 695, 702, 703, 709, 710, 711, 712, 716, 719, 727, 728, 731, 734, 736, 740, 743], "provid": [42, 43, 44, 102, 105, 110, 203, 235, 236, 264, 278, 279, 305, 311, 316, 335, 340, 348, 349, 369, 374, 388, 389, 391, 392, 394, 395, 400, 428, 531, 625, 630, 634, 636, 648, 650, 651, 652, 653, 668, 671, 674, 676, 677, 678, 684, 685, 687, 688, 689, 690, 691, 692, 696, 700, 703, 709, 710, 711, 717, 718, 728, 730, 731, 734, 737, 738, 740, 741, 742, 743], "make_sub_graph": 42, "opset": [42, 102, 104, 105, 232, 309, 310, 679], "ir_vers": 42, "thi": [42, 45, 86, 110, 132, 139, 143, 147, 153, 156, 158, 165, 172, 177, 180, 182, 188, 192, 195, 201, 203, 205, 207, 208, 209, 210, 214, 215, 216, 217, 219, 220, 221, 227, 231, 232, 235, 236, 246, 247, 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743], "scheme": [42, 43, 44, 150, 161, 165, 172, 391, 392, 394, 395, 405, 596, 598, 610, 611, 613, 651, 652, 653, 671, 681, 700, 734, 740, 742], "sym": [42, 43, 44, 172, 405, 597, 598, 611, 613, 652, 653, 681, 731, 734, 742], "dequant": [42, 43, 44, 51, 88, 91, 92, 93, 94, 96, 153, 165, 172, 395, 477, 514, 517, 518, 519, 520, 522, 573, 613, 641, 647, 652, 737, 738], "asym": [42, 43, 44, 150, 161, 165, 172, 391, 392, 394, 395, 405, 598, 610, 611, 613, 653, 681, 734, 742], "ortsmoothqu": 42, "fake": [42, 44, 113, 161, 170, 172, 176, 182, 389, 446, 534, 592, 598, 610, 611, 613, 689, 731, 734, 737], "channel": [42, 43, 44, 143, 170, 171, 172, 176, 177, 201, 204, 209, 231, 232, 260, 264, 302, 305, 343, 389, 392, 561, 592, 611, 613, 636, 650, 651, 653, 684, 685, 692, 694, 699, 714, 728, 734, 739, 743], "For": [42, 44, 165, 172, 176, 180, 182, 186, 199, 203, 204, 207, 208, 219, 232, 249, 264, 292, 305, 317, 318, 320, 343, 346, 370, 371, 373, 374, 389, 391, 392, 394, 428, 598, 611, 613, 645, 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neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.OpType"]], "tensorcollector (class in neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.TensorCollector"]], "amp_convert() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.amp_convert"]], "calib_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.calib_model"]], "check_mx_version() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.check_mx_version"]], "combine_capabilities() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.combine_capabilities"]], "create_data_example() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.create_data_example"]], "distribute_calib_tensors() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.distribute_calib_tensors"]], "ensure_list() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.ensure_list"]], "fuse() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.fuse"]], "get_framework_name() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.get_framework_name"]], "is_model_quantized() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.is_model_quantized"]], "isiterable() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.isiterable"]], "make_module() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.make_module"]], "make_nc_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.make_nc_model"]], "make_symbol_block() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.make_symbol_block"]], "ndarray_to_device() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.ndarray_to_device"]], "neural_compressor.adaptor.mxnet_utils.util": [[13, "module-neural_compressor.adaptor.mxnet_utils.util"]], "parse_tune_config() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.parse_tune_config"]], "prepare_dataloader() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.prepare_dataloader"]], "prepare_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.prepare_model"]], "prepare_model_data() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.prepare_model_data"]], "quantize_sym_model() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.quantize_sym_model"]], "query_quantizable_nodes() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.query_quantizable_nodes"]], "run_forward() (in module neural_compressor.adaptor.mxnet_utils.util)": [[13, "neural_compressor.adaptor.mxnet_utils.util.run_forward"]], "onnxrt_integeropsadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_IntegerOpsAdaptor"]], "onnxrt_qdqadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_QDQAdaptor"]], "onnxrt_qlinearopsadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_QLinearOpsAdaptor"]], "onnxrt_weightonlyadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRT_WeightOnlyAdaptor"]], "onnxruntimeadaptor (class in neural_compressor.adaptor.onnxrt)": [[14, "neural_compressor.adaptor.onnxrt.ONNXRUNTIMEAdaptor"]], "neural_compressor.adaptor.onnxrt": [[14, "module-neural_compressor.adaptor.onnxrt"]], "onnxrtaugment (class in neural_compressor.adaptor.ox_utils.calibration)": [[15, "neural_compressor.adaptor.ox_utils.calibration.ONNXRTAugment"]], "neural_compressor.adaptor.ox_utils.calibration": [[15, "module-neural_compressor.adaptor.ox_utils.calibration"]], "calibratorbase (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.CalibratorBase"]], "histogramcollector (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.HistogramCollector"]], "klcalibrator (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.KLCalibrator"]], "minmaxcalibrator (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.MinMaxCalibrator"]], "percentilecalibrator (class in neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.PercentileCalibrator"]], "calib_registry() (in module neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.calib_registry"]], "neural_compressor.adaptor.ox_utils.calibrator": [[16, "module-neural_compressor.adaptor.ox_utils.calibrator"]], "smooth_distribution() (in module neural_compressor.adaptor.ox_utils.calibrator)": [[16, "neural_compressor.adaptor.ox_utils.calibrator.smooth_distribution"]], "neural_compressor.adaptor.ox_utils": [[17, "module-neural_compressor.adaptor.ox_utils"]], "activationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.ActivationOperator"]], "float16activationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.Float16ActivationOperator"]], "qactivationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.QActivationOperator"]], "removableactivationoperator (class in neural_compressor.adaptor.ox_utils.operators.activation)": [[18, "neural_compressor.adaptor.ox_utils.operators.activation.RemovableActivationOperator"]], "neural_compressor.adaptor.ox_utils.operators.activation": [[18, "module-neural_compressor.adaptor.ox_utils.operators.activation"]], "argmaxoperator (class in neural_compressor.adaptor.ox_utils.operators.argmax)": [[19, "neural_compressor.adaptor.ox_utils.operators.argmax.ArgMaxOperator"]], "qargmaxoperator (class in neural_compressor.adaptor.ox_utils.operators.argmax)": [[19, "neural_compressor.adaptor.ox_utils.operators.argmax.QArgMaxOperator"]], "neural_compressor.adaptor.ox_utils.operators.argmax": [[19, "module-neural_compressor.adaptor.ox_utils.operators.argmax"]], "attentionoperator (class in neural_compressor.adaptor.ox_utils.operators.attention)": [[20, "neural_compressor.adaptor.ox_utils.operators.attention.AttentionOperator"]], "qattentionoperator (class in neural_compressor.adaptor.ox_utils.operators.attention)": [[20, "neural_compressor.adaptor.ox_utils.operators.attention.QAttentionOperator"]], "neural_compressor.adaptor.ox_utils.operators.attention": [[20, "module-neural_compressor.adaptor.ox_utils.operators.attention"]], "binarydirect8bitoperator (class in neural_compressor.adaptor.ox_utils.operators.binary_op)": [[21, "neural_compressor.adaptor.ox_utils.operators.binary_op.BinaryDirect8BitOperator"]], "binaryoperator (class in neural_compressor.adaptor.ox_utils.operators.binary_op)": [[21, "neural_compressor.adaptor.ox_utils.operators.binary_op.BinaryOperator"]], "float16binaryoperator (class in neural_compressor.adaptor.ox_utils.operators.binary_op)": [[21, "neural_compressor.adaptor.ox_utils.operators.binary_op.Float16BinaryOperator"]], "qbinaryoperator (class in neural_compressor.adaptor.ox_utils.operators.binary_op)": [[21, "neural_compressor.adaptor.ox_utils.operators.binary_op.QBinaryOperator"]], "neural_compressor.adaptor.ox_utils.operators.binary_op": [[21, "module-neural_compressor.adaptor.ox_utils.operators.binary_op"]], "concatoperator (class in neural_compressor.adaptor.ox_utils.operators.concat)": [[22, "neural_compressor.adaptor.ox_utils.operators.concat.ConcatOperator"]], "qconcatoperator (class in neural_compressor.adaptor.ox_utils.operators.concat)": [[22, "neural_compressor.adaptor.ox_utils.operators.concat.QConcatOperator"]], "neural_compressor.adaptor.ox_utils.operators.concat": [[22, "module-neural_compressor.adaptor.ox_utils.operators.concat"]], "convoperator (class in neural_compressor.adaptor.ox_utils.operators.conv)": [[23, "neural_compressor.adaptor.ox_utils.operators.conv.ConvOperator"]], "qconvoperator (class in neural_compressor.adaptor.ox_utils.operators.conv)": [[23, "neural_compressor.adaptor.ox_utils.operators.conv.QConvOperator"]], "neural_compressor.adaptor.ox_utils.operators.conv": [[23, "module-neural_compressor.adaptor.ox_utils.operators.conv"]], "direct8bitoperator (class in neural_compressor.adaptor.ox_utils.operators.direct_q8)": [[24, "neural_compressor.adaptor.ox_utils.operators.direct_q8.Direct8BitOperator"]], "qdirectoperator (class in neural_compressor.adaptor.ox_utils.operators.direct_q8)": [[24, "neural_compressor.adaptor.ox_utils.operators.direct_q8.QDirectOperator"]], "neural_compressor.adaptor.ox_utils.operators.direct_q8": [[24, "module-neural_compressor.adaptor.ox_utils.operators.direct_q8"]], "embedlayernormalizationoperator (class in neural_compressor.adaptor.ox_utils.operators.embed_layernorm)": [[25, "neural_compressor.adaptor.ox_utils.operators.embed_layernorm.EmbedLayerNormalizationOperator"]], "qembedlayernormalizationoperator (class in neural_compressor.adaptor.ox_utils.operators.embed_layernorm)": [[25, "neural_compressor.adaptor.ox_utils.operators.embed_layernorm.QEmbedLayerNormalizationOperator"]], "neural_compressor.adaptor.ox_utils.operators.embed_layernorm": [[25, "module-neural_compressor.adaptor.ox_utils.operators.embed_layernorm"]], "gatheroperator (class in neural_compressor.adaptor.ox_utils.operators.gather)": [[26, "neural_compressor.adaptor.ox_utils.operators.gather.GatherOperator"]], "qgatheroperator (class in neural_compressor.adaptor.ox_utils.operators.gather)": [[26, "neural_compressor.adaptor.ox_utils.operators.gather.QGatherOperator"]], "neural_compressor.adaptor.ox_utils.operators.gather": [[26, "module-neural_compressor.adaptor.ox_utils.operators.gather"]], "globalaveragepooloperator (class in neural_compressor.adaptor.ox_utils.operators.gavgpool)": [[27, "neural_compressor.adaptor.ox_utils.operators.gavgpool.GlobalAveragePoolOperator"]], "qglobalaveragepooloperator (class in neural_compressor.adaptor.ox_utils.operators.gavgpool)": [[27, "neural_compressor.adaptor.ox_utils.operators.gavgpool.QGlobalAveragePoolOperator"]], "neural_compressor.adaptor.ox_utils.operators.gavgpool": [[27, "module-neural_compressor.adaptor.ox_utils.operators.gavgpool"]], "gemmoperator (class in neural_compressor.adaptor.ox_utils.operators.gemm)": [[28, "neural_compressor.adaptor.ox_utils.operators.gemm.GemmOperator"]], "qgemmoperator (class in neural_compressor.adaptor.ox_utils.operators.gemm)": [[28, "neural_compressor.adaptor.ox_utils.operators.gemm.QGemmOperator"]], "neural_compressor.adaptor.ox_utils.operators.gemm": [[28, "module-neural_compressor.adaptor.ox_utils.operators.gemm"]], "neural_compressor.adaptor.ox_utils.operators": [[29, "module-neural_compressor.adaptor.ox_utils.operators"]], "lstmoperator (class in neural_compressor.adaptor.ox_utils.operators.lstm)": [[30, "neural_compressor.adaptor.ox_utils.operators.lstm.LSTMOperator"]], "neural_compressor.adaptor.ox_utils.operators.lstm": [[30, "module-neural_compressor.adaptor.ox_utils.operators.lstm"]], "fusedmatmuloperator (class in neural_compressor.adaptor.ox_utils.operators.matmul)": [[31, "neural_compressor.adaptor.ox_utils.operators.matmul.FusedMatMulOperator"]], "matmuloperator (class in neural_compressor.adaptor.ox_utils.operators.matmul)": [[31, "neural_compressor.adaptor.ox_utils.operators.matmul.MatMulOperator"]], "qmatmuloperator (class in neural_compressor.adaptor.ox_utils.operators.matmul)": [[31, "neural_compressor.adaptor.ox_utils.operators.matmul.QMatMulOperator"]], "neural_compressor.adaptor.ox_utils.operators.matmul": [[31, "module-neural_compressor.adaptor.ox_utils.operators.matmul"]], "maxpooloperator (class in neural_compressor.adaptor.ox_utils.operators.maxpool)": [[32, "neural_compressor.adaptor.ox_utils.operators.maxpool.MaxPoolOperator"]], "qmaxpooloperator (class in neural_compressor.adaptor.ox_utils.operators.maxpool)": [[32, "neural_compressor.adaptor.ox_utils.operators.maxpool.QMaxPoolOperator"]], "neural_compressor.adaptor.ox_utils.operators.maxpool": [[32, "module-neural_compressor.adaptor.ox_utils.operators.maxpool"]], "batchnormalizationoperator (class in neural_compressor.adaptor.ox_utils.operators.norm)": [[33, "neural_compressor.adaptor.ox_utils.operators.norm.BatchNormalizationOperator"]], "normalizationoperator (class in neural_compressor.adaptor.ox_utils.operators.norm)": [[33, "neural_compressor.adaptor.ox_utils.operators.norm.NormalizationOperator"]], "neural_compressor.adaptor.ox_utils.operators.norm": [[33, "module-neural_compressor.adaptor.ox_utils.operators.norm"]], "operator (class in neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.Operator"]], "qoperator (class in neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.QOperator"]], "neural_compressor.adaptor.ox_utils.operators.ops": [[34, "module-neural_compressor.adaptor.ox_utils.operators.ops"]], "op_registry() (in module neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.op_registry"]], "qop_registry() (in module neural_compressor.adaptor.ox_utils.operators.ops)": [[34, "neural_compressor.adaptor.ox_utils.operators.ops.qop_registry"]], "padoperator (class in neural_compressor.adaptor.ox_utils.operators.pad)": [[35, "neural_compressor.adaptor.ox_utils.operators.pad.PadOperator"]], "qpadoperator (class in neural_compressor.adaptor.ox_utils.operators.pad)": [[35, "neural_compressor.adaptor.ox_utils.operators.pad.QPadOperator"]], "neural_compressor.adaptor.ox_utils.operators.pad": [[35, "module-neural_compressor.adaptor.ox_utils.operators.pad"]], "pooloperator (class in neural_compressor.adaptor.ox_utils.operators.pooling)": [[36, "neural_compressor.adaptor.ox_utils.operators.pooling.PoolOperator"]], "qpooloperator (class in neural_compressor.adaptor.ox_utils.operators.pooling)": [[36, "neural_compressor.adaptor.ox_utils.operators.pooling.QPoolOperator"]], "neural_compressor.adaptor.ox_utils.operators.pooling": [[36, "module-neural_compressor.adaptor.ox_utils.operators.pooling"]], "reduceminmaxoperator (class in neural_compressor.adaptor.ox_utils.operators.reduce)": [[37, "neural_compressor.adaptor.ox_utils.operators.reduce.ReduceMinMaxOperator"]], "reduceoperator (class in neural_compressor.adaptor.ox_utils.operators.reduce)": [[37, "neural_compressor.adaptor.ox_utils.operators.reduce.ReduceOperator"]], "neural_compressor.adaptor.ox_utils.operators.reduce": [[37, "module-neural_compressor.adaptor.ox_utils.operators.reduce"]], "qresizeoperator (class in neural_compressor.adaptor.ox_utils.operators.resize)": [[38, "neural_compressor.adaptor.ox_utils.operators.resize.QResizeOperator"]], "resizeoperator (class in neural_compressor.adaptor.ox_utils.operators.resize)": [[38, "neural_compressor.adaptor.ox_utils.operators.resize.ResizeOperator"]], "neural_compressor.adaptor.ox_utils.operators.resize": [[38, "module-neural_compressor.adaptor.ox_utils.operators.resize"]], "qsplitoperator (class in neural_compressor.adaptor.ox_utils.operators.split)": [[39, "neural_compressor.adaptor.ox_utils.operators.split.QSplitOperator"]], "splitoperator (class in neural_compressor.adaptor.ox_utils.operators.split)": [[39, "neural_compressor.adaptor.ox_utils.operators.split.SplitOperator"]], "neural_compressor.adaptor.ox_utils.operators.split": [[39, "module-neural_compressor.adaptor.ox_utils.operators.split"]], "unarydirect8bitoperator (class in neural_compressor.adaptor.ox_utils.operators.unary_op)": [[40, "neural_compressor.adaptor.ox_utils.operators.unary_op.UnaryDirect8BitOperator"]], "unaryoperator (class in neural_compressor.adaptor.ox_utils.operators.unary_op)": [[40, "neural_compressor.adaptor.ox_utils.operators.unary_op.UnaryOperator"]], "neural_compressor.adaptor.ox_utils.operators.unary_op": [[40, "module-neural_compressor.adaptor.ox_utils.operators.unary_op"]], "quantizer (class in neural_compressor.adaptor.ox_utils.quantizer)": [[41, "neural_compressor.adaptor.ox_utils.quantizer.Quantizer"]], "neural_compressor.adaptor.ox_utils.quantizer": [[41, "module-neural_compressor.adaptor.ox_utils.quantizer"]], "ortsmoothquant (class in neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.ORTSmoothQuant"]], "get_quant_dequant_output() (in module neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.get_quant_dequant_output"]], "make_sub_graph() (in module neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.make_sub_graph"]], "neural_compressor.adaptor.ox_utils.smooth_quant": [[42, "module-neural_compressor.adaptor.ox_utils.smooth_quant"]], "quant_dequant_data() (in module neural_compressor.adaptor.ox_utils.smooth_quant)": [[42, "neural_compressor.adaptor.ox_utils.smooth_quant.quant_dequant_data"]], "quantformat (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantFormat"]], "quanttype (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantType"]], "quantizationmode (class in neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.QuantizationMode"]], 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module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.collate_preds"]], "dequantize_data() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.dequantize_data"]], "dequantize_data_with_scale_zero() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.dequantize_data_with_scale_zero"]], "dtype_to_name() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.dtype_to_name"]], "find_by_name() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.find_by_name"]], "float_to_bfloat16() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.float_to_bfloat16"]], "float_to_float16() (in module neural_compressor.adaptor.ox_utils.util)": [[43, "neural_compressor.adaptor.ox_utils.util.float_to_float16"]], 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"get_block_prefix() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_block_prefix"]], "get_depth() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_depth"]], "get_dict_at_depth() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_dict_at_depth"]], "get_element_under_depth() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_element_under_depth"]], "get_embedding_contiguous() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_embedding_contiguous"]], "get_example_input() (in module neural_compressor.adaptor.torch_utils.util)": [[165, "neural_compressor.adaptor.torch_utils.util.get_example_input"]], "get_fallback_order() (in module neural_compressor.adaptor.torch_utils.util)": [[165, 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module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.get_physical_ids"]], "get_threads() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.get_threads"]], "get_threads_per_core() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.get_threads_per_core"]], "neural_compressor.benchmark": [[178, "module-neural_compressor.benchmark"]], "profile() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.profile"]], "run_instance() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.run_instance"]], "set_all_env_var() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.set_all_env_var"]], "set_env_var() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.set_env_var"]], "summary_benchmark() (in module neural_compressor.benchmark)": [[178, "neural_compressor.benchmark.summary_benchmark"]], "baseconfig (class in 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neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchCriterions"]], "pytorchcrossentropyloss (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchCrossEntropyLoss"]], "pytorchintermediatelayersknowledgedistillationloss (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchIntermediateLayersKnowledgeDistillationLoss"]], "pytorchintermediatelayersknowledgedistillationlosswrapper (class in neural_compressor.compression.distillation.criterions)": [[189, "neural_compressor.compression.distillation.criterions.PyTorchIntermediateLayersKnowledgeDistillationLossWrapper"]], "pytorchknowledgedistillationloss (class in neural_compressor.compression.distillation.criterions)": [[189, 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neural_compressor.data.datasets.dataset)": [[249, "neural_compressor.data.datasets.dataset.MXNetMNIST"]], "onnxrtitdatasets (class in neural_compressor.data.datasets.dataset)": [[249, "neural_compressor.data.datasets.dataset.ONNXRTITDatasets"]], "onnxrtqldatasets (class in neural_compressor.data.datasets.dataset)": [[249, "neural_compressor.data.datasets.dataset.ONNXRTQLDatasets"]], "pytorchdatasets (class in neural_compressor.data.datasets.dataset)": [[249, "neural_compressor.data.datasets.dataset.PyTorchDatasets"]], "pytorchcifar10 (class in neural_compressor.data.datasets.dataset)": [[249, "neural_compressor.data.datasets.dataset.PytorchCIFAR10"]], "pytorchcifar100 (class in neural_compressor.data.datasets.dataset)": [[249, "neural_compressor.data.datasets.dataset.PytorchCIFAR100"]], "pytorchfashionmnist (class in neural_compressor.data.datasets.dataset)": [[249, "neural_compressor.data.datasets.dataset.PytorchFashionMNIST"]], "pytorchmnist (class in 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neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.MAE"]], "metrics (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.METRICS"]], "mse (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.MSE"]], "mxnetmetrics (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.MXNetMetrics"]], "metric (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.Metric"]], "onnxrtglue (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.ONNXRTGLUE"]], "onnxrtitmetrics (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.ONNXRTITMetrics"]], "onnxrtqlmetrics (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.ONNXRTQLMetrics"]], "pytorchloss (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.PyTorchLoss"]], "pytorchmetrics (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.PyTorchMetrics"]], "rmse (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.RMSE"]], "roc (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.ROC"]], "squadf1 (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.SquadF1"]], "tensorflowcocomap (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.TensorflowCOCOMAP"]], "tensorflowmap (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.TensorflowMAP"]], "tensorflowmetrics (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.TensorflowMetrics"]], "tensorflowtopk (class in neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.TensorflowTopK"]], "tensorflowvocmap (class in neural_compressor.metric.metric)": [[373, 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"neural_compressor.metric.metric.ONNXRTQLMetrics.metrics"]], "metrics (neural_compressor.metric.metric.pytorchmetrics attribute)": [[373, "neural_compressor.metric.metric.PyTorchMetrics.metrics"]], "metrics (neural_compressor.metric.metric.tensorflowmetrics attribute)": [[373, "neural_compressor.metric.metric.TensorflowMetrics.metrics"]], "mse (neural_compressor.metric.metric.rmse attribute)": [[373, "neural_compressor.metric.metric.RMSE.mse"]], "neural_compressor.metric.metric": [[373, "module-neural_compressor.metric.metric"]], "num_correct (neural_compressor.metric.metric.generaltopk attribute)": [[373, "neural_compressor.metric.metric.GeneralTopK.num_correct"]], "num_correct (neural_compressor.metric.metric.tensorflowtopk attribute)": [[373, "neural_compressor.metric.metric.TensorflowTopK.num_correct"]], "num_sample (neural_compressor.metric.metric.generaltopk attribute)": [[373, "neural_compressor.metric.metric.GeneralTopK.num_sample"]], "num_sample (neural_compressor.metric.metric.tensorflowtopk attribute)": [[373, "neural_compressor.metric.metric.TensorflowTopK.num_sample"]], "pred_list (neural_compressor.metric.metric.accuracy attribute)": [[373, "neural_compressor.metric.metric.Accuracy.pred_list"]], "pred_list (neural_compressor.metric.metric.mae attribute)": [[373, "neural_compressor.metric.metric.MAE.pred_list"]], "pred_list (neural_compressor.metric.metric.mse attribute)": [[373, "neural_compressor.metric.metric.MSE.pred_list"]], "register_customer_metric() (in module neural_compressor.metric.metric)": [[373, "neural_compressor.metric.metric.register_customer_metric"]], "sample (neural_compressor.metric.metric.accuracy attribute)": [[373, "neural_compressor.metric.metric.Accuracy.sample"]], "sample (neural_compressor.metric.metric.loss attribute)": [[373, "neural_compressor.metric.metric.Loss.sample"]], "sum (neural_compressor.metric.metric.loss attribute)": [[373, "neural_compressor.metric.metric.Loss.sum"]], "fit() (in module neural_compressor.mix_precision)": [[374, "neural_compressor.mix_precision.fit"]], "neural_compressor.mix_precision": [[374, "module-neural_compressor.mix_precision"]], "basemodel (class in neural_compressor.model.base_model)": [[375, "neural_compressor.model.base_model.BaseModel"]], "neural_compressor.model.base_model": [[375, "module-neural_compressor.model.base_model"]], "neural_compressor.model": [[376, "module-neural_compressor.model"]], "kerasmodel (class in neural_compressor.model.keras_model)": [[377, "neural_compressor.model.keras_model.KerasModel"]], "neural_compressor.model.keras_model": [[377, "module-neural_compressor.model.keras_model"]], "model (class in neural_compressor.model.model)": [[378, "neural_compressor.model.model.Model"]], "get_model_fwk_name() (in module neural_compressor.model.model)": [[378, "neural_compressor.model.model.get_model_fwk_name"]], "neural_compressor.model.model": [[378, "module-neural_compressor.model.model"]], "mxnetmodel (class in neural_compressor.model.mxnet_model)": [[379, "neural_compressor.model.mxnet_model.MXNetModel"]], "neural_compressor.model.mxnet_model": [[379, "module-neural_compressor.model.mxnet_model"]], "tfslimnetsfactory (class in neural_compressor.model.nets_factory)": [[380, "neural_compressor.model.nets_factory.TFSlimNetsFactory"]], "neural_compressor.model.nets_factory": [[380, "module-neural_compressor.model.nets_factory"]], "onnxmodel (class in neural_compressor.model.onnx_model)": [[381, "neural_compressor.model.onnx_model.ONNXModel"]], "neural_compressor.model.onnx_model": [[381, "module-neural_compressor.model.onnx_model"]], "tensorflowbasemodel (class in neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.TensorflowBaseModel"]], "tensorflowcheckpointmodel (class in neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.TensorflowCheckpointModel"]], "tensorflowllmmodel (class in neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.TensorflowLLMModel"]], "tensorflowmodel (class in neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.TensorflowModel"]], "tensorflowqatmodel (class in neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.TensorflowQATModel"]], "tensorflowsavedmodelmodel (class in neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.TensorflowSavedModelModel"]], "checkpoint_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.checkpoint_session"]], "estimator_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.estimator_session"]], "frozen_pb_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.frozen_pb_session"]], "get_model_type() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.get_model_type"]], "graph_def_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.graph_def_session"]], "graph_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.graph_session"]], "keras_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.keras_session"]], "load_saved_model() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.load_saved_model"]], "neural_compressor.model.tensorflow_model": [[382, "module-neural_compressor.model.tensorflow_model"]], "saved_model_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.saved_model_session"]], "slim_session() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.slim_session"]], "try_loading_keras() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.try_loading_keras"]], "validate_and_inference_input_output() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.validate_and_inference_input_output"]], "validate_graph_node() (in module neural_compressor.model.tensorflow_model)": [[382, "neural_compressor.model.tensorflow_model.validate_graph_node"]], "ipexmodel (class in neural_compressor.model.torch_model)": [[383, "neural_compressor.model.torch_model.IPEXModel"]], "pytorchbasemodel (class in neural_compressor.model.torch_model)": [[383, "neural_compressor.model.torch_model.PyTorchBaseModel"]], "pytorchfxmodel (class in neural_compressor.model.torch_model)": [[383, "neural_compressor.model.torch_model.PyTorchFXModel"]], "pytorchmodel (class in neural_compressor.model.torch_model)": [[383, "neural_compressor.model.torch_model.PyTorchModel"]], "neural_compressor.model.torch_model": [[383, "module-neural_compressor.model.torch_model"]], "accuracy (class in neural_compressor.objective)": [[384, "neural_compressor.objective.Accuracy"]], "footprint (class in neural_compressor.objective)": [[384, "neural_compressor.objective.Footprint"]], "modelsize (class in neural_compressor.objective)": [[384, "neural_compressor.objective.ModelSize"]], "multiobjective (class in neural_compressor.objective)": [[384, "neural_compressor.objective.MultiObjective"]], "objective (class in neural_compressor.objective)": [[384, "neural_compressor.objective.Objective"]], "performance (class in neural_compressor.objective)": [[384, "neural_compressor.objective.Performance"]], "neural_compressor.objective": [[384, "module-neural_compressor.objective"]], "objective_custom_registry() (in module neural_compressor.objective)": [[384, "neural_compressor.objective.objective_custom_registry"]], "objective_registry() (in module neural_compressor.objective)": [[384, "neural_compressor.objective.objective_registry"]], "neural_compressor.onnxrt.algorithms": [[385, "module-neural_compressor.onnxrt.algorithms"]], "layer_wise_quant() (in module neural_compressor.onnxrt.algorithms.layer_wise.core)": [[386, "neural_compressor.onnxrt.algorithms.layer_wise.core.layer_wise_quant"]], "neural_compressor.onnxrt.algorithms.layer_wise.core": [[386, "module-neural_compressor.onnxrt.algorithms.layer_wise.core"]], "neural_compressor.onnxrt.algorithms.layer_wise": [[387, "module-neural_compressor.onnxrt.algorithms.layer_wise"]], "calibrator (class in neural_compressor.onnxrt.algorithms.smoother.calibrator)": [[388, "neural_compressor.onnxrt.algorithms.smoother.calibrator.Calibrator"]], "neural_compressor.onnxrt.algorithms.smoother.calibrator": [[388, "module-neural_compressor.onnxrt.algorithms.smoother.calibrator"]], "smoother (class in neural_compressor.onnxrt.algorithms.smoother.core)": [[389, "neural_compressor.onnxrt.algorithms.smoother.core.Smoother"]], "neural_compressor.onnxrt.algorithms.smoother.core": [[389, "module-neural_compressor.onnxrt.algorithms.smoother.core"]], "neural_compressor.onnxrt.algorithms.smoother": [[390, "module-neural_compressor.onnxrt.algorithms.smoother"]], "apply_awq_on_model() (in module neural_compressor.onnxrt.algorithms.weight_only.awq)": [[391, "neural_compressor.onnxrt.algorithms.weight_only.awq.apply_awq_on_model"]], "awq_quantize() (in module neural_compressor.onnxrt.algorithms.weight_only.awq)": [[391, "neural_compressor.onnxrt.algorithms.weight_only.awq.awq_quantize"]], "neural_compressor.onnxrt.algorithms.weight_only.awq": [[391, "module-neural_compressor.onnxrt.algorithms.weight_only.awq"]], "apply_gptq_on_model() (in module neural_compressor.onnxrt.algorithms.weight_only.gptq)": [[392, "neural_compressor.onnxrt.algorithms.weight_only.gptq.apply_gptq_on_model"]], "gptq_quantize() (in module neural_compressor.onnxrt.algorithms.weight_only.gptq)": [[392, "neural_compressor.onnxrt.algorithms.weight_only.gptq.gptq_quantize"]], "neural_compressor.onnxrt.algorithms.weight_only.gptq": [[392, "module-neural_compressor.onnxrt.algorithms.weight_only.gptq"]], "neural_compressor.onnxrt.algorithms.weight_only": [[393, "module-neural_compressor.onnxrt.algorithms.weight_only"]], "apply_rtn_on_model() (in module neural_compressor.onnxrt.algorithms.weight_only.rtn)": [[394, "neural_compressor.onnxrt.algorithms.weight_only.rtn.apply_rtn_on_model"]], "neural_compressor.onnxrt.algorithms.weight_only.rtn": [[394, "module-neural_compressor.onnxrt.algorithms.weight_only.rtn"]], "rtn_quantize() (in module neural_compressor.onnxrt.algorithms.weight_only.rtn)": [[394, "neural_compressor.onnxrt.algorithms.weight_only.rtn.rtn_quantize"]], "make_matmul_weight_only_node() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.make_matmul_weight_only_node"]], "neural_compressor.onnxrt.algorithms.weight_only.utility": [[395, "module-neural_compressor.onnxrt.algorithms.weight_only.utility"]], "pad_tensor() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.pad_tensor"]], "prepare_inputs() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.prepare_inputs"]], "qdq_tensor() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.qdq_tensor"]], "quant_tensor() (in module neural_compressor.onnxrt.algorithms.weight_only.utility)": [[395, "neural_compressor.onnxrt.algorithms.weight_only.utility.quant_tensor"]], "neural_compressor.onnxrt": [[396, "module-neural_compressor.onnxrt"]], "awq_quantize_entry() (in module neural_compressor.onnxrt.quantization.algorithm_entry)": [[397, "neural_compressor.onnxrt.quantization.algorithm_entry.awq_quantize_entry"]], "gptq_quantize_entry() (in module neural_compressor.onnxrt.quantization.algorithm_entry)": [[397, "neural_compressor.onnxrt.quantization.algorithm_entry.gptq_quantize_entry"]], "neural_compressor.onnxrt.quantization.algorithm_entry": [[397, "module-neural_compressor.onnxrt.quantization.algorithm_entry"]], "rtn_quantize_entry() (in module neural_compressor.onnxrt.quantization.algorithm_entry)": [[397, "neural_compressor.onnxrt.quantization.algorithm_entry.rtn_quantize_entry"]], "smooth_quant_entry() (in module neural_compressor.onnxrt.quantization.algorithm_entry)": [[397, "neural_compressor.onnxrt.quantization.algorithm_entry.smooth_quant_entry"]], "autotune() (in module neural_compressor.onnxrt.quantization.autotune)": [[398, "neural_compressor.onnxrt.quantization.autotune.autotune"]], "neural_compressor.onnxrt.quantization.autotune": [[398, "module-neural_compressor.onnxrt.quantization.autotune"]], "calibrationdatareader (class in neural_compressor.onnxrt.quantization.calibrate)": [[399, "neural_compressor.onnxrt.quantization.calibrate.CalibrationDataReader"]], "neural_compressor.onnxrt.quantization.calibrate": [[399, "module-neural_compressor.onnxrt.quantization.calibrate"]], "awqconfig (class in neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.AWQConfig"]], "gptqconfig (class in neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.GPTQConfig"]], "rtnconfig (class in neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.RTNConfig"]], "smoohquantconfig (class in neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.SmoohQuantConfig"]], "get_default_awq_config() (in module neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.get_default_awq_config"]], "get_default_gptq_config() (in module neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.get_default_gptq_config"]], "get_default_rtn_config() (in module neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.get_default_rtn_config"]], "get_default_sq_config() (in module neural_compressor.onnxrt.quantization.config)": [[400, "neural_compressor.onnxrt.quantization.config.get_default_sq_config"]], "neural_compressor.onnxrt.quantization.config": [[400, "module-neural_compressor.onnxrt.quantization.config"]], "neural_compressor.onnxrt.quantization": [[401, "module-neural_compressor.onnxrt.quantization"]], "neural_compressor.onnxrt.quantization.quantize": [[402, "module-neural_compressor.onnxrt.quantization.quantize"]], "neural_compressor.onnxrt.utils": [[403, "module-neural_compressor.onnxrt.utils"]], "onnxmodel (class in neural_compressor.onnxrt.utils.onnx_model)": [[404, "neural_compressor.onnxrt.utils.onnx_model.ONNXModel"]], "neural_compressor.onnxrt.utils.onnx_model": [[404, "module-neural_compressor.onnxrt.utils.onnx_model"]], "check_model_with_infer_shapes() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.check_model_with_infer_shapes"]], "find_by_name() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.find_by_name"]], "get_qrange_for_qtype() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.get_qrange_for_qType"]], "is_b_transposed() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.is_B_transposed"]], "neural_compressor.onnxrt.utils.utility": [[405, "module-neural_compressor.onnxrt.utils.utility"]], "quantize_data() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.quantize_data"]], "register_algo() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.register_algo"]], "simple_progress_bar() (in module neural_compressor.onnxrt.utils.utility)": [[405, "neural_compressor.onnxrt.utils.utility.simple_progress_bar"]], "neural_compressor.profiling": [[406, "module-neural_compressor.profiling"]], "parserfactory (class in neural_compressor.profiling.parser.factory)": [[407, "neural_compressor.profiling.parser.factory.ParserFactory"]], "neural_compressor.profiling.parser.factory": [[407, "module-neural_compressor.profiling.parser.factory"]], "neural_compressor.profiling.parser": [[408, "module-neural_compressor.profiling.parser"]], "onnxrtparserfactory (class in neural_compressor.profiling.parser.onnx_parser.factory)": [[409, "neural_compressor.profiling.parser.onnx_parser.factory.OnnxrtParserFactory"]], "neural_compressor.profiling.parser.onnx_parser.factory": [[409, "module-neural_compressor.profiling.parser.onnx_parser.factory"]], "neural_compressor.profiling.parser.onnx_parser": [[410, "module-neural_compressor.profiling.parser.onnx_parser"]], "onnxprofilingparser (class in neural_compressor.profiling.parser.onnx_parser.parser)": [[411, "neural_compressor.profiling.parser.onnx_parser.parser.OnnxProfilingParser"]], "neural_compressor.profiling.parser.onnx_parser.parser": [[411, "module-neural_compressor.profiling.parser.onnx_parser.parser"]], "profilingparser (class in neural_compressor.profiling.parser.parser)": [[412, "neural_compressor.profiling.parser.parser.ProfilingParser"]], "neural_compressor.profiling.parser.parser": [[412, "module-neural_compressor.profiling.parser.parser"]], "profilingresult (class in neural_compressor.profiling.parser.result)": [[413, "neural_compressor.profiling.parser.result.ProfilingResult"]], "neural_compressor.profiling.parser.result": [[413, "module-neural_compressor.profiling.parser.result"]], "tensorflowparserfactory (class in neural_compressor.profiling.parser.tensorflow_parser.factory)": [[414, "neural_compressor.profiling.parser.tensorflow_parser.factory.TensorFlowParserFactory"]], "neural_compressor.profiling.parser.tensorflow_parser.factory": [[414, "module-neural_compressor.profiling.parser.tensorflow_parser.factory"]], "neural_compressor.profiling.parser.tensorflow_parser": [[415, "module-neural_compressor.profiling.parser.tensorflow_parser"]], "tensorflowprofilingparser (class in neural_compressor.profiling.parser.tensorflow_parser.parser)": [[416, "neural_compressor.profiling.parser.tensorflow_parser.parser.TensorFlowProfilingParser"]], "neural_compressor.profiling.parser.tensorflow_parser.parser": [[416, "module-neural_compressor.profiling.parser.tensorflow_parser.parser"]], "profilerfactory (class in neural_compressor.profiling.profiler.factory)": [[417, "neural_compressor.profiling.profiler.factory.ProfilerFactory"]], "neural_compressor.profiling.profiler.factory": [[417, "module-neural_compressor.profiling.profiler.factory"]], "neural_compressor.profiling.profiler": [[418, "module-neural_compressor.profiling.profiler"]], "profilerfactory (class in neural_compressor.profiling.profiler.onnxrt_profiler.factory)": [[419, "neural_compressor.profiling.profiler.onnxrt_profiler.factory.ProfilerFactory"]], "neural_compressor.profiling.profiler.onnxrt_profiler.factory": [[419, "module-neural_compressor.profiling.profiler.onnxrt_profiler.factory"]], "neural_compressor.profiling.profiler.onnxrt_profiler": [[420, "module-neural_compressor.profiling.profiler.onnxrt_profiler"]], "profiler (class in neural_compressor.profiling.profiler.onnxrt_profiler.profiler)": [[421, "neural_compressor.profiling.profiler.onnxrt_profiler.profiler.Profiler"]], "neural_compressor.profiling.profiler.onnxrt_profiler.profiler": [[421, "module-neural_compressor.profiling.profiler.onnxrt_profiler.profiler"]], "create_onnx_config() (in module neural_compressor.profiling.profiler.onnxrt_profiler.utils)": [[422, "neural_compressor.profiling.profiler.onnxrt_profiler.utils.create_onnx_config"]], "neural_compressor.profiling.profiler.onnxrt_profiler.utils": [[422, "module-neural_compressor.profiling.profiler.onnxrt_profiler.utils"]], "profiler (class in neural_compressor.profiling.profiler.profiler)": [[423, "neural_compressor.profiling.profiler.profiler.Profiler"]], "neural_compressor.profiling.profiler.profiler": [[423, "module-neural_compressor.profiling.profiler.profiler"]], "profilerfactory (class in neural_compressor.profiling.profiler.tensorflow_profiler.factory)": [[424, "neural_compressor.profiling.profiler.tensorflow_profiler.factory.ProfilerFactory"]], "neural_compressor.profiling.profiler.tensorflow_profiler.factory": [[424, "module-neural_compressor.profiling.profiler.tensorflow_profiler.factory"]], "neural_compressor.profiling.profiler.tensorflow_profiler": [[425, "module-neural_compressor.profiling.profiler.tensorflow_profiler"]], "profiler (class in neural_compressor.profiling.profiler.tensorflow_profiler.profiler)": [[426, "neural_compressor.profiling.profiler.tensorflow_profiler.profiler.Profiler"]], "neural_compressor.profiling.profiler.tensorflow_profiler.profiler": [[426, "module-neural_compressor.profiling.profiler.tensorflow_profiler.profiler"]], "create_tf_config() (in module neural_compressor.profiling.profiler.tensorflow_profiler.utils)": [[427, "neural_compressor.profiling.profiler.tensorflow_profiler.utils.create_tf_config"]], "delete_assign() (in module neural_compressor.profiling.profiler.tensorflow_profiler.utils)": [[427, "neural_compressor.profiling.profiler.tensorflow_profiler.utils.delete_assign"]], "neural_compressor.profiling.profiler.tensorflow_profiler.utils": [[427, "module-neural_compressor.profiling.profiler.tensorflow_profiler.utils"]], "set_eager_execution() (in module neural_compressor.profiling.profiler.tensorflow_profiler.utils)": [[427, "neural_compressor.profiling.profiler.tensorflow_profiler.utils.set_eager_execution"]], "fit() (in module neural_compressor.quantization)": [[428, "neural_compressor.quantization.fit"]], "neural_compressor.quantization": [[428, "module-neural_compressor.quantization"]], "autotunestrategy (class in neural_compressor.strategy.auto)": [[429, "neural_compressor.strategy.auto.AutoTuneStrategy"]], "neural_compressor.strategy.auto": [[429, "module-neural_compressor.strategy.auto"]], "automixedprecisiontunestrategy (class in neural_compressor.strategy.auto_mixed_precision)": [[430, "neural_compressor.strategy.auto_mixed_precision.AutoMixedPrecisionTuneStrategy"]], "neural_compressor.strategy.auto_mixed_precision": [[430, "module-neural_compressor.strategy.auto_mixed_precision"]], "basictunestrategy (class in neural_compressor.strategy.basic)": [[431, "neural_compressor.strategy.basic.BasicTuneStrategy"]], "neural_compressor.strategy.basic": [[431, "module-neural_compressor.strategy.basic"]], "bayesianoptimization (class in neural_compressor.strategy.bayesian)": [[432, "neural_compressor.strategy.bayesian.BayesianOptimization"]], "bayesiantunestrategy (class in neural_compressor.strategy.bayesian)": [[432, "neural_compressor.strategy.bayesian.BayesianTuneStrategy"]], "targetspace (class in neural_compressor.strategy.bayesian)": [[432, "neural_compressor.strategy.bayesian.TargetSpace"]], "acq_max() (in module neural_compressor.strategy.bayesian)": [[432, "neural_compressor.strategy.bayesian.acq_max"]], "neural_compressor.strategy.bayesian": [[432, "module-neural_compressor.strategy.bayesian"]], "conservativetunestrategy (class in neural_compressor.strategy.conservative)": [[433, "neural_compressor.strategy.conservative.ConservativeTuneStrategy"]], "neural_compressor.strategy.conservative": [[433, "module-neural_compressor.strategy.conservative"]], "exhaustivetunestrategy (class in neural_compressor.strategy.exhaustive)": [[434, "neural_compressor.strategy.exhaustive.ExhaustiveTuneStrategy"]], "neural_compressor.strategy.exhaustive": [[434, "module-neural_compressor.strategy.exhaustive"]], "hawq_v2tunestrategy (class in neural_compressor.strategy.hawq_v2)": [[435, "neural_compressor.strategy.hawq_v2.HAWQ_V2TuneStrategy"]], "neural_compressor.strategy.hawq_v2": [[435, "module-neural_compressor.strategy.hawq_v2"]], "neural_compressor.strategy": [[436, "module-neural_compressor.strategy"]], "msetunestrategy (class in neural_compressor.strategy.mse)": [[437, "neural_compressor.strategy.mse.MSETuneStrategy"]], "neural_compressor.strategy.mse": [[437, "module-neural_compressor.strategy.mse"]], "mse_v2tunestrategy (class in neural_compressor.strategy.mse_v2)": [[438, "neural_compressor.strategy.mse_v2.MSE_V2TuneStrategy"]], "neural_compressor.strategy.mse_v2": [[438, "module-neural_compressor.strategy.mse_v2"]], "randomtunestrategy (class in neural_compressor.strategy.random)": [[439, "neural_compressor.strategy.random.RandomTuneStrategy"]], "neural_compressor.strategy.random": [[439, "module-neural_compressor.strategy.random"]], "tunestrategy (class in neural_compressor.strategy.strategy)": [[440, "neural_compressor.strategy.strategy.TuneStrategy"]], "tunestrategymeta (class in neural_compressor.strategy.strategy)": [[440, "neural_compressor.strategy.strategy.TuneStrategyMeta"]], "neural_compressor.strategy.strategy": [[440, "module-neural_compressor.strategy.strategy"]], "strategy_registry() (in module neural_compressor.strategy.strategy)": [[440, "neural_compressor.strategy.strategy.strategy_registry"]], "neural_compressor.strategy.utils.constant": [[441, "module-neural_compressor.strategy.utils.constant"]], "neural_compressor.strategy.utils": 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"neural_compressor.strategy.utils.tuning_sampler.OpWiseTuningSampler"]], "smoothquantsampler (class in neural_compressor.strategy.utils.tuning_sampler)": [[443, "neural_compressor.strategy.utils.tuning_sampler.SmoothQuantSampler"]], "tuningorder (class in neural_compressor.strategy.utils.tuning_sampler)": [[443, "neural_compressor.strategy.utils.tuning_sampler.TuningOrder"]], "tuningsampler (class in neural_compressor.strategy.utils.tuning_sampler)": [[443, "neural_compressor.strategy.utils.tuning_sampler.TuningSampler"]], "weightonlyquantsampler (class in neural_compressor.strategy.utils.tuning_sampler)": [[443, "neural_compressor.strategy.utils.tuning_sampler.WeightOnlyQuantSampler"]], "neural_compressor.strategy.utils.tuning_sampler": [[443, "module-neural_compressor.strategy.utils.tuning_sampler"]], "tuningitem (class in neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.TuningItem"]], "tuningspace (class in neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.TuningSpace"]], "initial_tuning_cfg_with_quant_mode() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.initial_tuning_cfg_with_quant_mode"]], "neural_compressor.strategy.utils.tuning_space": [[444, "module-neural_compressor.strategy.utils.tuning_space"]], "pattern_to_internal() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.pattern_to_internal"]], "pattern_to_path() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.pattern_to_path"]], "quant_mode_from_pattern() (in module neural_compressor.strategy.utils.tuning_space)": [[444, "neural_compressor.strategy.utils.tuning_space.quant_mode_from_pattern"]], "optuningconfig (class in neural_compressor.strategy.utils.tuning_structs)": [[445, "neural_compressor.strategy.utils.tuning_structs.OpTuningConfig"]], "neural_compressor.strategy.utils.tuning_structs": [[445, "module-neural_compressor.strategy.utils.tuning_structs"]], "classregister (class in neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.ClassRegister"]], "ordereddefaultdict (class in neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.OrderedDefaultDict"]], "quantoptions (class in neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.QuantOptions"]], "quanttype (class in neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.QuantType"]], "build_slave_faker_model() (in module neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.build_slave_faker_model"]], "extract_data_type() (in module neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.extract_data_type"]], "get_adaptor_name() (in module neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.get_adaptor_name"]], "neural_compressor.strategy.utils.utility": [[446, "module-neural_compressor.strategy.utils.utility"]], "preprocess_user_cfg() (in module neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.preprocess_user_cfg"]], "reverted_data_type() (in module neural_compressor.strategy.utils.utility)": [[446, "neural_compressor.strategy.utils.utility.reverted_data_type"]], "exampleclass (class in neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.ExampleClass"]], "attr1 (neural_compressor.template.api_doc_example.exampleclass attribute)": [[447, "neural_compressor.template.api_doc_example.ExampleClass.attr1"]], "attr2 (neural_compressor.template.api_doc_example.exampleclass attribute)": [[447, "neural_compressor.template.api_doc_example.ExampleClass.attr2"]], "attr5 (neural_compressor.template.api_doc_example.exampleclass attribute)": [[447, "neural_compressor.template.api_doc_example.ExampleClass.attr5"]], "attribute1 (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.attribute1"]], "function1() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.function1"]], "function2() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.function2"]], "function3() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.function3"]], "generator1() (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.generator1"]], "module_debug_level1 (in module neural_compressor.template.api_doc_example)": [[447, "neural_compressor.template.api_doc_example.module_debug_level1"]], "neural_compressor.template.api_doc_example": [[447, "module-neural_compressor.template.api_doc_example"]], "neural_compressor.template": [[448, "module-neural_compressor.template"]], "neural_compressor.tensorflow.algorithms": [[449, "module-neural_compressor.tensorflow.algorithms"]], "smoothquantcalibration (class in neural_compressor.tensorflow.algorithms.smoother.calibration)": [[450, "neural_compressor.tensorflow.algorithms.smoother.calibration.SmoothQuantCalibration"]], "smoothquantcalibrationllm (class in neural_compressor.tensorflow.algorithms.smoother.calibration)": [[450, "neural_compressor.tensorflow.algorithms.smoother.calibration.SmoothQuantCalibrationLLM"]], "neural_compressor.tensorflow.algorithms.smoother.calibration": [[450, "module-neural_compressor.tensorflow.algorithms.smoother.calibration"]], "smoothquant (class in neural_compressor.tensorflow.algorithms.smoother.core)": [[451, "neural_compressor.tensorflow.algorithms.smoother.core.SmoothQuant"]], "neural_compressor.tensorflow.algorithms.smoother.core": [[451, "module-neural_compressor.tensorflow.algorithms.smoother.core"]], "neural_compressor.tensorflow.algorithms.smoother": [[452, "module-neural_compressor.tensorflow.algorithms.smoother"]], "smoothquantscaler (class in neural_compressor.tensorflow.algorithms.smoother.scaler)": [[453, "neural_compressor.tensorflow.algorithms.smoother.scaler.SmoothQuantScaler"]], "smoothquantscalerllm (class in neural_compressor.tensorflow.algorithms.smoother.scaler)": [[453, "neural_compressor.tensorflow.algorithms.smoother.scaler.SmoothQuantScalerLLM"]], "neural_compressor.tensorflow.algorithms.smoother.scaler": [[453, "module-neural_compressor.tensorflow.algorithms.smoother.scaler"]], "neural_compressor.tensorflow.algorithms.static_quant": [[454, "module-neural_compressor.tensorflow.algorithms.static_quant"]], "kerasadaptor (class in neural_compressor.tensorflow.algorithms.static_quant.keras)": [[455, "neural_compressor.tensorflow.algorithms.static_quant.keras.KerasAdaptor"]], "kerasconfigconverter (class in neural_compressor.tensorflow.algorithms.static_quant.keras)": [[455, "neural_compressor.tensorflow.algorithms.static_quant.keras.KerasConfigConverter"]], "kerasquery (class in neural_compressor.tensorflow.algorithms.static_quant.keras)": [[455, "neural_compressor.tensorflow.algorithms.static_quant.keras.KerasQuery"]], "kerassurgery (class in neural_compressor.tensorflow.algorithms.static_quant.keras)": [[455, "neural_compressor.tensorflow.algorithms.static_quant.keras.KerasSurgery"]], "neural_compressor.tensorflow.algorithms.static_quant.keras": [[455, "module-neural_compressor.tensorflow.algorithms.static_quant.keras"]], "tensorflowadaptor (class in neural_compressor.tensorflow.algorithms.static_quant.tensorflow)": [[456, "neural_compressor.tensorflow.algorithms.static_quant.tensorflow.TensorFlowAdaptor"]], "tensorflowconfig (class in neural_compressor.tensorflow.algorithms.static_quant.tensorflow)": [[456, "neural_compressor.tensorflow.algorithms.static_quant.tensorflow.TensorFlowConfig"]], "tensorflowconfigconverter (class in neural_compressor.tensorflow.algorithms.static_quant.tensorflow)": [[456, "neural_compressor.tensorflow.algorithms.static_quant.tensorflow.TensorflowConfigConverter"]], "tensorflowquery (class in neural_compressor.tensorflow.algorithms.static_quant.tensorflow)": [[456, "neural_compressor.tensorflow.algorithms.static_quant.tensorflow.TensorflowQuery"]], "tensorflow_itexadaptor (class in neural_compressor.tensorflow.algorithms.static_quant.tensorflow)": [[456, "neural_compressor.tensorflow.algorithms.static_quant.tensorflow.Tensorflow_ITEXAdaptor"]], "neural_compressor.tensorflow.algorithms.static_quant.tensorflow": [[456, "module-neural_compressor.tensorflow.algorithms.static_quant.tensorflow"]], "neural_compressor.tensorflow": [[457, "module-neural_compressor.tensorflow"]], "neural_compressor.tensorflow.keras": [[458, "module-neural_compressor.tensorflow.keras"]], "neural_compressor.tensorflow.keras.layers.conv2d": [[459, "module-neural_compressor.tensorflow.keras.layers.conv2d"]], "neural_compressor.tensorflow.keras.layers.dense": [[460, "module-neural_compressor.tensorflow.keras.layers.dense"]], "neural_compressor.tensorflow.keras.layers.depthwise_conv2d": [[461, "module-neural_compressor.tensorflow.keras.layers.depthwise_conv2d"]], "neural_compressor.tensorflow.keras.layers": [[462, "module-neural_compressor.tensorflow.keras.layers"]], "neural_compressor.tensorflow.keras.layers.layer_initializer": [[463, "module-neural_compressor.tensorflow.keras.layers.layer_initializer"]], "neural_compressor.tensorflow.keras.layers.pool2d": [[464, "module-neural_compressor.tensorflow.keras.layers.pool2d"]], "neural_compressor.tensorflow.keras.layers.quantizer": [[465, "module-neural_compressor.tensorflow.keras.layers.quantizer"]], "neural_compressor.tensorflow.keras.layers.separable_conv2d": [[466, "module-neural_compressor.tensorflow.keras.layers.separable_conv2d"]], "staticquantconfig (class in neural_compressor.tensorflow.keras.quantization.config)": [[467, "neural_compressor.tensorflow.keras.quantization.config.StaticQuantConfig"]], "get_all_registered_configs() (in module neural_compressor.tensorflow.keras.quantization.config)": [[467, "neural_compressor.tensorflow.keras.quantization.config.get_all_registered_configs"]], "get_default_static_quant_config() (in module neural_compressor.tensorflow.keras.quantization.config)": [[467, "neural_compressor.tensorflow.keras.quantization.config.get_default_static_quant_config"]], "neural_compressor.tensorflow.keras.quantization.config": [[467, "module-neural_compressor.tensorflow.keras.quantization.config"]], "neural_compressor.tensorflow.keras.quantization": [[468, 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