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Fix conv transpose spec #1566

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merged 3 commits into from
Nov 1, 2018
Merged

Fix conv transpose spec #1566

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2c2cb5e
fix ConvTranspose spec
fumihwh Oct 21, 2018
cc413ad
Merge branch 'master' into fix-conv-transpose-spec
fumihwh Oct 31, 2018
1b47aa0
Merge branch 'master' into fix-conv-transpose-spec
houseroad Nov 1, 2018
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2 changes: 1 addition & 1 deletion docs/Changelog.md
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Expand Up @@ -787,7 +787,7 @@ This version of the operator has been available since version 1 of the default O
<dt><tt>W</tt> : T</dt>
<dd>The weight tensor that will be used in the convolutions; has size (C x M/group x kH x kW), where C is the number of channels, and kH and kW are the height and width of the kernel, and M is the number of feature maps. For more than 2 dimensions, the weight shape will be (C x M/group x k1 x k2 x ... x kn), where (k1 x k2 x ... x kn) is the dimension of the kernel. The number of channels in the output should be equal to W.shape[1] * group (assuming zero based indices of the shape array)</dd>
<dt><tt>B</tt> (optional) : T</dt>
<dd>Optional 1D bias to be added to the convolution, has size of C.</dd>
<dd>Optional 1D bias to be added to the convolution, has size of M.</dd>
</dl>

#### Outputs
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2 changes: 1 addition & 1 deletion docs/Operators.md
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Expand Up @@ -2233,7 +2233,7 @@ This version of the operator has been available since version 1 of the default O
<dt><tt>W</tt> : T</dt>
<dd>The weight tensor that will be used in the convolutions; has size (C x M/group x kH x kW), where C is the number of channels, and kH and kW are the height and width of the kernel, and M is the number of feature maps. For more than 2 dimensions, the weight shape will be (C x M/group x k1 x k2 x ... x kn), where (k1 x k2 x ... x kn) is the dimension of the kernel. The number of channels in the output should be equal to W.shape[1] * group (assuming zero based indices of the shape array)</dd>
<dt><tt>B</tt> (optional) : T</dt>
<dd>Optional 1D bias to be added to the convolution, has size of C.</dd>
<dd>Optional 1D bias to be added to the convolution, has size of M.</dd>
</dl>

#### Outputs
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2 changes: 1 addition & 1 deletion onnx/defs/nn/defs.cc
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Expand Up @@ -879,7 +879,7 @@ output_shape can also be explicitly specified in which case pads values are auto
schema.Input(
2,
"B",
"Optional 1D bias to be added to the convolution, has size of C.",
"Optional 1D bias to be added to the convolution, has size of M.",
"T",
OpSchema::Optional);
schema.Output(
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