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Use unsigned long type for sizes option of resample2d #306

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Dec 20, 2022
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Use unsigned long type for sizes option of resample2d #306

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4 changes: 2 additions & 2 deletions index.bs
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Expand Up @@ -2073,7 +2073,7 @@ enum MLInterpolationMode {
dictionary MLResample2dOptions {
MLInterpolationMode mode = "nearest-neighbor";
sequence<float> scales;
sequence<long> sizes;
sequence<unsigned long> sizes;
sequence<long> axes;
};

Expand All @@ -2088,7 +2088,7 @@ partial interface MLGraphBuilder {
- *mode*: an {{MLInterpolationMode}}. The interpolation algorithm used to fill the output tensor values.
If not set, it is assumed to be the *Nearest Neighbor* interpolation.
- *scales*: a sequence of {{float}} of length 2. Each value represents the scaling factor used to scale in each spatial dimensions of input, [scale_height, scale_width]. If not set, the values are assumed to be [1.0, 1.0].
- *sizes*: a sequence of {{long}} of length 2. The target sizes for each spatial dimensions of input, [size_height, size_width]. When the target sizes are specified, the *options.scales* argument is ignored as the scaling factor values are derived from the target sizes of each spatial dimension of input.
- *sizes*: a sequence of {{unsigned long}} of length 2. The target sizes for each spatial dimensions of input, [size_height, size_width]. When the target sizes are specified, the *options.scales* argument is ignored as the scaling factor values are derived from the target sizes of each spatial dimension of input.
- *axes*: a sequence of {{long}} of length 2. The two consecutive dimensions of the input tensor to which the interpolation algorithm applies. The valid values in the sequence are [0, 1], [1, 2] or [2, 3]. When not specified, the sequence is assumed to be [2, 3].

**Returns:** an {{MLOperand}}. The output 4-D tensor.
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