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[Contrib][TRT] Fix Conv2D construction when channels attribute is not available. #6805

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Oct 31, 2020
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[Contrib][TRT] Fix Conv2D construction when channels attribute is not available. #6805

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2 changes: 1 addition & 1 deletion src/runtime/contrib/tensorrt/tensorrt_ops.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -242,7 +242,7 @@ class Conv2DOpConverter : public TensorRTOpConverter {
auto str_dilation = params->node.GetAttr<std::vector<std::string>>("dilation");
auto str_padding = params->node.GetAttr<std::vector<std::string>>("padding");
int groups = std::stoi(params->node.GetAttr<std::vector<std::string>>("groups")[0]);
int channels = std::stoi(params->node.GetAttr<std::vector<std::string>>("channels")[0]);
int channels = weight_shape[0];
// TRT conv2d op doesn't support asymmetric padding before 5.1, so we
// workaround by adding a padding layer before the pooling op.
nvinfer1::DimsHW prepadding, postpadding;
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1 change: 0 additions & 1 deletion tests/python/contrib/test_tensorrt.py
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Expand Up @@ -251,7 +251,6 @@ def get_graph(
out = relay.nn.conv2d(
x,
kernel,
channels=k_shape[0],
kernel_size=k_shape[2:4],
groups=groups,
padding=padding,
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