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Fixing the access of scalar elements in broadcast_in_dim, clamp, and select operations #1777

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Sep 18, 2023
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Fixing the access of scalar elements in broadcast_in_dim, clamp, and select operations #1777

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10 changes: 5 additions & 5 deletions docs/spec.md
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Original file line number Diff line number Diff line change
Expand Up @@ -1358,8 +1358,8 @@ implementation-defined as well.

Expands the dimensions and/or rank of an input tensor by duplicating the data
in the `operand` tensor and produces a `result` tensor. More formally,
`result[result_index] = rank(operand) = 0 ? operand : operand[operand_index]`
where:
`result[result_index] = operand[operand_index]` where for all `d` in
`axes(operand)`:

* `operand_index[d] = 0` if `dim(operand, d) = 1`.
* `operand_index[d] = result_index[broadcast_dimensions[d]]` otherwise.
Expand Down Expand Up @@ -1606,8 +1606,8 @@ For quantized types, performs
Clamps every element of the `operand` tensor between a minimum and maximum
value and produces a `result` tensor. More formally, `result[result_index] =
minimum(maximum(operand[result_index], min_element), max_element)`,
where `min_element = rank(min) = 0 ? min : min[result_index]`,
`max_element = rank(max) = 0 ? max : max[result_index]`. For quantized types,
where `min_element = rank(min) = 0 ? min[] : min[result_index]`,
`max_element = rank(max) = 0 ? max[] : max[result_index]`. For quantized types,
performs `dequantize_op_quantize(clamp, min, operand, max, type(result))`.

Imposing an ordering on complex numbers involves surprising semantics,
Expand Down Expand Up @@ -4839,7 +4839,7 @@ undefined.
Produces a `result` tensor where each element is selected from `on_true` or
`on_false` tensor based on the value of the corresponding element of `pred`.
More formally, `result[result_index] = pred_element ? on_true[result_index] :
on_false[result_index]`, where `pred_element = rank(pred) = 0 ? pred :
on_false[result_index]`, where `pred_element = rank(pred) = 0 ? pred[] :
pred[result_index]`. For quantized types, performs
`dequantize_select_quantize(pred, on_true, on_false, type(result))`.

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