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Set output shape of ConvTranspose (Conv2DBackpropInput) correctly #966

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Jun 9, 2020
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Set output shape of ConvTranspose (Conv2DBackpropInput) correctly #966

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4 changes: 3 additions & 1 deletion tf2onnx/onnx_opset/nn.py
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Original file line number Diff line number Diff line change
Expand Up @@ -248,6 +248,7 @@ def version_1(cls, ctx, node, **kwargs):
# Note: inputs are reversed from what one would expect.
conv_kernel_shape(ctx, node, 1)
input_shape = ctx.get_shape(node.input[2])
output_shape_orig = node.output_shapes

# ouput_shape is explicitly specified here, in this case pads values are auto generated/calculated.
if node.inputs[0].is_const():
Expand Down Expand Up @@ -285,7 +286,8 @@ def version_1(cls, ctx, node, **kwargs):
const_one_two = ctx.make_const(utils.make_name(node.name + "_const_one_two"),
np.array([1, 2], dtype=np.int64))
slice_node = ctx.make_node("Slice",
[node.output[0], starts.output[0], ends.output[0], const_one_two.output[0]])
[node.output[0], starts.output[0], ends.output[0], const_one_two.output[0]],
shapes=output_shape_orig)
downstream_nodes = ctx.find_output_consumers(node.output[0])
downstream_nodes.remove(output_shape)
downstream_nodes.remove(slice_node)
Expand Down