Fix nose imports

dali/test/python/checkpointing/test_dali_checkpointing.py

@@ -35,7 +35,7 @@
 from nvidia.dali.auto_aug import rand_augment as ra
 from nvidia.dali.auto_aug import trivial_augment as ta
 from reader.test_numpy import is_gds_supported
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 
 reader_signed_off = create_sign_off_decorator()

dali/test/python/checkpointing/test_dali_checkpointing_fw_iterators.py

@@ -30,7 +30,7 @@
 from nose2.tools import params, cartesian_params
 import numpy as np
 from nvidia.dali.plugin.base_iterator import LastBatchPolicy
-from nose import SkipTest
+from nose_utils import SkipTest
 
 
 class FwTestBase:

dali/test/python/checkpointing/test_dali_stateless_operators.py

@@ -28,7 +28,7 @@
 )
 from nose2.tools import params, cartesian_params
 from nose_utils import assert_raises, SkipTest
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 # Test configuration
 batch_size = 8

dali/test/python/decoder/test_image.py

@@ -279,7 +279,7 @@ def check_fancy_upsampling_body(batch_size, img_type, device):
 @params(1, 8)
 def test_fancy_upsampling(batch_size):
     if nvidia.dali.backend.GetNvjpegVersion() < 12001:
-        from nose import SkipTest
+        from nose_utils import SkipTest
 
         raise SkipTest("nvJPEG doesn't support fancy upsampling in this version")
     data_path = os.path.join(test_data_root, good_path, "jpeg")

dali/test/python/decoder/test_imgcodec.py

@@ -29,7 +29,7 @@
 from test_utils import get_arch
 from test_utils import dump_as_core_artifacts
 from nose2.tools import params
-from nose import SkipTest
+from nose_utils import SkipTest
 
 
 def get_img_files(data_path, subdir="*", ext=None):
@@ -280,7 +280,7 @@ def check_fancy_upsampling_body(batch_size, img_type, device):
 @params(1, 8)
 def test_fancy_upsampling(batch_size):
     if nvidia.dali.backend.GetNvjpegVersion() < 12001:
-        from nose import SkipTest
+        from nose_utils import SkipTest
 
         raise SkipTest("nvJPEG doesn't support fancy upsampling in this version")
     data_path = os.path.join(test_data_root, good_path, "jpeg")

dali/test/python/decoder/test_jpeg_scan_limit.py

@@ -19,7 +19,7 @@
 from nvidia.dali import pipeline_def
 
 from nose_utils import assert_raises
-from nose.plugins.attrib import attr
+from nose_utils import attr
 from nose2.tools import cartesian_params
 
 

dali/test/python/decoder/test_video.py

@@ -23,8 +23,8 @@
 from test_utils import get_dali_extra_path, is_mulit_gpu, skip_if_m60
 from nvidia.dali.backend import TensorListGPU
 from nose2.tools import params
-from nose import SkipTest
-from nose.plugins.attrib import attr
+from nose_utils import SkipTest
+from nose_utils import attr
 from nose_utils import assert_raises
 
 

dali/test/python/dlpack/test_torch.py

@@ -2,7 +2,7 @@
 import nvidia.dali.fn as fn
 import torch
 import numpy as np
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 
 @dali.pipeline_def(batch_size=4, num_threads=1, device_id=0, prefetch_queue_depth=2)
@@ -16,7 +16,6 @@ def _test_pipe():
 
 @attr("pytorch")
 def test_dlpack_is_zero_copy():
-    print("Testing dlpack")
     # get a DALI pipeline that produces batches of very large tensors
     pipe = _test_pipe(batch_size=1, experimental_exec_dynamic=True)
     pipe.build()
@@ -34,7 +33,6 @@ def test_dlpack_is_zero_copy():
 
 @attr("pytorch")
 def test_dlpack_no_corruption():
-    print("Testing dlpack")
     # get a DALI pipeline that produces batches of very large tensors
     pipe = _test_pipe(experimental_exec_dynamic=True)
     pipe.build()

dali/test/python/dlpack/test_torch_perf.py

@@ -3,7 +3,7 @@
 import torch
 import numpy as np
 import time
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 
 @dali.pipeline_def(batch_size=32, num_threads=8, device_id=0)

dali/test/python/nose_utils.py

@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -101,6 +101,8 @@
 import nose.suite
 import nose.plugins.attrib
 from nose import SkipTest, with_setup  # noqa: F401
+from nose.plugins.attrib import attr  # noqa: F401
+from nose.tools import nottest  # noqa: F401
 
 if sys.version_info >= (3, 10) and not hasattr(collections, "Callable"):
     nose.case.collections = collections.abc

dali/test/python/operator_1/test_arithmetic_ops.py

@@ -19,7 +19,7 @@
 import nvidia.dali.math as math
 from nvidia.dali.tensors import TensorListGPU
 import numpy as np
-from nose.plugins.attrib import attr
+from nose_utils import attr
 from nose2.tools import params
 import itertools
 

dali/test/python/operator_1/test_cast.py

@@ -15,7 +15,7 @@
 import numpy as np
 import nvidia.dali.fn as fn
 import nvidia.dali.types as types
-from nose.tools import nottest
+from nose_utils import nottest
 from nvidia.dali import pipeline_def
 from test_utils import np_type_to_dali
 import itertools

dali/test/python/operator_1/test_gaussian_blur.py

@@ -22,7 +22,7 @@
 from scipy.ndimage import convolve1d
 import os
 from nose_utils import assert_raises, raises
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 from sequences_test_utils import video_suite_helper, ArgCb
 from test_utils import (

dali/test/python/operator_1/test_laplacian.py

@@ -21,7 +21,7 @@
 from scipy.ndimage import convolve1d, filters as sp_filters
 import os
 from nose_utils import assert_raises
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 from sequences_test_utils import video_suite_helper, ArgCb
 from test_utils import get_dali_extra_path, check_batch, RandomlyShapedDataIterator

dali/test/python/operator_1/test_numba_func.py

@@ -28,7 +28,7 @@
 )
 from nvidia.dali.plugin.numba.fn.experimental import numba_function
 from numba import cuda
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 test_data_root = get_dali_extra_path()
 lmdb_folder = os.path.join(test_data_root, "db", "lmdb")

dali/test/python/operator_2/test_filter.py

@@ -20,7 +20,7 @@
 from nvidia.dali import pipeline_def, fn, types
 from test_utils import get_dali_extra_path, np_type_to_dali, check_batch
 from nose2.tools import params
-from nose.plugins.attrib import attr
+from nose_utils import attr
 from filter_test_utils import filter_baseline, filter_baseline_layout
 
 data_root = get_dali_extra_path()

dali/test/python/operator_2/test_random_object_bbox.py

@@ -23,8 +23,7 @@
 import scipy.ndimage.measurements
 import random
 from test_utils import check_batch, np_type_to_dali
-from nose.tools import nottest
-from nose.plugins.attrib import attr
+from nose_utils import attr, nottest
 
 
 np.random.seed(1234)

dali/test/python/operator_2/test_reduce.py

@@ -14,7 +14,7 @@
 
 import nvidia.dali.fn as fn
 from nvidia.dali.pipeline import Pipeline
-from nose.tools import nottest
+from nose_utils import nottest
 
 import numpy as np
 

dali/test/python/reader/test_index.py

@@ -23,7 +23,7 @@
 from test_utils import compare_pipelines, get_dali_extra_path
 from nose_utils import assert_raises, raises
 from nose2.tools import cartesian_params
-from nose import SkipTest
+from nose_utils import SkipTest
 
 
 def skip_second(src, dst):

dali/test/python/reader/test_numpy.py

@@ -23,7 +23,7 @@
 import random
 import tempfile
 from nose_utils import assert_raises
-from nose import SkipTest
+from nose_utils import SkipTest
 from nose2.tools import params, cartesian_params
 from test_utils import compare_pipelines, to_array
 

dali/test/python/test_backend_impl.py

@@ -23,7 +23,7 @@
 import nvidia.dali as dali
 
 from nose_utils import assert_raises
-from nose import SkipTest
+from nose_utils import SkipTest
 from test_utils import dali_type_to_np, py_buffer_from_address, get_device_memory_info
 
 

dali/test/python/test_dali_cpu_only.py

@@ -22,8 +22,7 @@
 import os
 import re
 from collections.abc import Iterable
-from nose.plugins.attrib import attr
-from nose.tools import nottest
+from nose_utils import attr, nottest
 from nvidia.dali.pipeline import Pipeline, pipeline_def
 from nvidia.dali.pipeline.experimental import pipeline_def as experimental_pipeline_def
 from nvidia.dali.plugin.numba.fn.experimental import numba_function

dali/test/python/test_dali_tf_dataset_mnist.py

@@ -22,7 +22,7 @@
 import tensorflow as tf
 import tensorflow.compat.v1 as tf_v1
 from packaging.version import Version
-from nose import SkipTest
+from nose_utils import SkipTest
 
 
 TARGET = 0.8

dali/test/python/test_dali_tf_dataset_mnist_eager.py

@@ -18,7 +18,7 @@
 import test_dali_tf_dataset_mnist as mnist
 from test_utils_tensorflow import skip_for_incompatible_tf, available_gpus
 from nose_utils import raises
-from nose import SkipTest
+from nose_utils import SkipTest
 from packaging.version import Version
 
 tf.compat.v1.enable_eager_execution()

dali/test/python/test_dali_tf_dataset_pipelines.py

@@ -17,7 +17,7 @@
 import nvidia.dali.fn as fn
 import nvidia.dali.plugin.tf as dali_tf
 import tensorflow as tf
-from nose.tools import nottest
+from nose_utils import nottest
 from nvidia.dali import pipeline_def
 
 from test_utils import RandomlyShapedDataIterator

dali/test/python/test_dali_variable_batch_size.py

@@ -21,9 +21,7 @@
 import random
 import re
 from functools import partial
-from nose_utils import SkipTest
-from nose.plugins.attrib import attr
-from nose.tools import nottest
+from nose_utils import SkipTest, attr, nottest
 from nvidia.dali.pipeline import Pipeline, pipeline_def
 from nvidia.dali.pipeline.experimental import pipeline_def as experimental_pipeline_def
 from nvidia.dali.plugin.numba.fn.experimental import numba_function

dali/test/python/test_external_source_cupy.py

@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 # it is enough to just import all functions from test_internals_operator_external_source
 # nose will query for the methods available and will run them

dali/test/python/test_external_source_impl_utils.py

@@ -16,7 +16,7 @@
 from nvidia.dali import tensors, pipeline_def
 import nvidia.dali.fn as fn
 from nose_utils import raises, assert_equals
-from nose.plugins.attrib import attr
+from nose_utils import attr
 import numpy as np
 
 

dali/test/python/test_external_source_pytorch_gpu.py

@@ -18,7 +18,7 @@
 # so it is better to store everything in one file and just call `use_cupy`
 # to switch between the default numpy and cupy
 
-from nose.plugins.attrib import attr
+from nose_utils import attr
 from nvidia.dali.pipeline import Pipeline
 import nvidia.dali.fn as fn
 from test_utils import check_output

dali/test/python/test_functional_api.py

@@ -20,7 +20,7 @@
 from nose_utils import assert_raises
 import sys
 import inspect
-from nose.plugins.attrib import attr
+from nose_utils import attr
 import nose
 
 

dali/test/python/test_fw_iterators.py

@@ -20,10 +20,8 @@
 import numpy as np
 import os
 from test_utils import get_dali_extra_path
-from nose.tools import nottest
-from nose_utils import raises, assert_raises
+from nose_utils import raises, assert_raises, nottest, attr
 from nose2.tools import params
-from nose.plugins.attrib import attr
 from nvidia.dali.plugin.base_iterator import LastBatchPolicy as LastBatchPolicy
 import random
 

dali/test/python/test_optical_flow.py

@@ -21,7 +21,7 @@
 from nvidia.dali import fn, types
 from test_utils import get_dali_extra_path, get_arch
 from nose_utils import raises, assert_raises
-from nose import SkipTest
+from nose_utils import SkipTest
 
 test_data_root = get_dali_extra_path()
 images_dir = os.path.join(test_data_root, "db", "imgproc")

dali/test/python/test_pipeline.py

@@ -36,9 +36,7 @@
     get_dali_extra_path,
     RandomDataIterator,
 )
-from nose_utils import raises
-from nose_utils import assert_raises
-from nose.plugins.skip import SkipTest
+from nose_utils import raises, assert_raises, SkipTest
 
 test_data_root = get_dali_extra_path()
 caffe_db_folder = os.path.join(test_data_root, "db", "lmdb")

dali/test/python/test_pipeline_debug.py

@@ -14,7 +14,7 @@
 
 import numpy as np
 import os
-from nose.plugins.attrib import attr
+from nose_utils import attr
 
 from nvidia.dali import fn
 from nvidia.dali import tensors

dali/test/python/test_pipeline_decorator.py

@@ -14,8 +14,7 @@
 
 from nvidia.dali import Pipeline, pipeline_def
 from nvidia.dali.pipeline import do_not_convert
-from nose.tools import nottest
-from nose_utils import raises, assert_raises
+from nose_utils import raises, assert_raises, nottest
 import nvidia.dali.fn as fn
 from test_utils import get_dali_extra_path, compare_pipelines
 import os

dali/test/python/test_pipeline_inputs.py

@@ -15,7 +15,7 @@
 
 import numpy as np
 import nvidia.dali.fn as fn
-from nose.plugins.attrib import attr
+from nose_utils import attr
 from nose2.tools import params
 from numpy.random import default_rng
 from nvidia.dali import pipeline_def

dali/test/python/test_torch_pipeline_rnnt.py

@@ -23,7 +23,7 @@
 import math
 import random
 import os
-from nose.tools import nottest
+from nose_utils import nottest
 
 # Filtering librispeech samples
 audio_files = get_files("db/audio/wav", "wav")

dali/test/python/test_utils_tensorflow.py

@@ -20,7 +20,7 @@
 import os
 import tensorflow as tf
 from contextlib import contextmanager
-from nose import SkipTest
+from nose_utils import SkipTest
 from nvidia.dali.pipeline import Pipeline
 from tensorflow.python.client import device_lib
 

dali/test/python/type_annotations/test_typing_pipelines.py

@@ -24,7 +24,7 @@
 from nvidia.dali.pipeline import pipeline_def, Pipeline
 
 from test_utils import get_dali_extra_path, check_numba_compatibility_cpu
-from nose.plugins.attrib import attr  # type: ignore
+from nose_utils import attr  # type: ignore
 
 _test_root = Path(get_dali_extra_path())