Support aten::bmm converter #422
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Signed-off-by: Ruoqian Guo <ruoqiang@nvidia.com>
ruoqianguo
commented
Apr 2, 2021
Comment on lines
-11
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-28
| auto mm_registrations TRTORCH_UNUSED = RegisterNodeConversionPatterns().pattern( | ||
| {"aten::matmul(Tensor self, Tensor other) -> (Tensor)", | ||
| [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool { | ||
| auto self = args[0].ITensorOrFreeze(ctx); | ||
| LOG_DEBUG("self tensor shape: " << self->getDimensions()); | ||
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| auto other = args[1].ITensorOrFreeze(ctx); | ||
| LOG_DEBUG("other tensor shape: " << other->getDimensions()); | ||
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| auto mm_layer = ctx->net->addMatrixMultiply( | ||
| *self, nvinfer1::MatrixOperation::kNONE, *other, nvinfer1::MatrixOperation::kNONE); | ||
| TRTORCH_CHECK(mm_layer, "Unable to create matrix multiplication node: " << *n); | ||
| mm_layer->setName(util::node_info(n).c_str()); | ||
| auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], mm_layer->getOutput(0)); | ||
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| LOG_DEBUG("Output tensor shape: " << out_tensor->getDimensions()); | ||
| return true; | ||
| }}); |
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After I run linting tools, this part changed. My clang-format's version is 9.0.1-12.
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Signed-off-by: Ruoqian Guo ruoqiang@nvidia.com
Description
Support aten::bmm converter
Fixes #270
Type of change
Please delete options that are not relevant and/or add your own.
Checklist: