Upsample - 7 vs 10#

Next section compares an older to a newer version of the same operator after both definition are converted into markdown text. Green means an addition to the newer version, red means a deletion. Anything else is unchanged.

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  1. Upsample7 → Upsample10 +5 -5
Upsample7 → Upsample10 RENAMED
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  Upsample the input tensor.
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  Each dimension value of the output tensor is:
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  output_dimension = floor(input_dimension * scale).
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  **Attributes**
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  * **mode**:
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  Two interpolation modes: nearest (default), and linear (including
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  bilinear, trilinear, etc)
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+ * **scales** (required):
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+ The scale array along each dimension. It takes value greater than or
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+ equal to 1. The number of elements of 'scales' should be the same as
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+ the rank of input 'X'.
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  **Inputs**
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  * **X** (heterogeneous) - **T**:
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  N-D tensor
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- * **scales** (heterogeneous) - **tensor(float)**:
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- The scale array along each dimension. It takes value greater than or
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- equal to 1. The number of elements of 'scales' should be the same as
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- the rank of input 'X'.
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  **Outputs**
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  * **Y** (heterogeneous) - **T**:
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  N-D tensor after resizing
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  **Type Constraints**
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  * **T** in (
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  tensor(bool),
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  tensor(complex128),
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  tensor(complex64),
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  tensor(double),
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  tensor(float),
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  tensor(float16),
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  tensor(int16),
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  tensor(int32),
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  tensor(int64),
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  tensor(int8),
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  tensor(string),
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  tensor(uint16),
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  tensor(uint32),
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  tensor(uint64),
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  tensor(uint8)
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  ):
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- Constrain input 'X' and output 'Y' to all tensor types.? ---- ^^^
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+ Constrain input and output types to all tensor types.? ^^^^^