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Editorial: Don't reference IDL boolean for values in tensors #735

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fdwr merged 1 commit into from
Jul 23, 2024
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Editorial: Don't reference IDL boolean for values in tensors #735

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6 changes: 3 additions & 3 deletions index.bs
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Expand Up @@ -2368,7 +2368,7 @@ partial interface MLGraphBuilder {
</details>

### Element-wise logical operations ### {#api-mlgraphbuilder-logical}
Compare input tensors element-wise and return a uint8 tensor of values 0 or 1 for the comparisons. For single-operand operations, return the logical results of the operation.
Compare input tensors element-wise and return a {{MLOperandDataType/"uint8"}} tensor of values 0 (false) or 1 (true) for the comparisons. For single-operand operations, return the logical results of the operation.

The input tensor will be broadcasted according to [[!numpy-broadcasting-rule]]. The [=MLOperand/rank=] of the output tensor is the maximum
[=MLOperand/rank=] of the input tensors.
Expand Down Expand Up @@ -2398,7 +2398,7 @@ partial interface MLGraphBuilder {
- *greaterOrEqual*: Compare if the values of the first input tensor is greater or equal, element-wise.
- *lesser*: Compare if the values of the first input tensor is lesser, element-wise.
- *lesserOrEqual*: Compare if the values of the first input tensor is lesser or equal, element-wise.
- *logicalNot*: Invert the values of the input tensor to values 0 or 1, element-wise. Specifically, when the input value is non-zero, invert it to a {{boolean}} value 0. Conversely, for a zero input value, invert it to a {{boolean}} value 1.
- *logicalNot*: Invert the values of the input tensor to values 0 or 1, element-wise. Specifically, when the input value is non-zero, invert it to 0. Conversely, for a zero input value, invert it to 1.
</div>

<div class="note">
Expand Down Expand Up @@ -5845,7 +5845,7 @@ partial interface MLGraphBuilder {
</div>

### where ### {#api-mlgraphbuilder-where}
Select the values from the trueValue or the falseValue tensor depending on the corresponding {{boolean}} values of the condition tensor. The condition tensor is often the output of one of the element-wise logical operations.
Select the values from the trueValue or the falseValue tensor depending on the corresponding values of the condition tensor, where non-zero is true and zero is false. The condition tensor is often the output of one of the element-wise logical operations.

The input tensors will be broadcasted according to [[!numpy-broadcasting-rule]] to the final output shape. The [=MLOperand/rank=] of the output tensor is the maximum [=MLOperand/rank=] of the input tensors.
For each dimension of the output tensor, its size is the maximum size along that dimension of the input tensors.
Expand Down