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39d50ef4f6
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/14827 We need to send complete IO info when doing `onnxGetBackendCompatibility` to backend like Glow. Previously we are missing some info because sometimes we generate more than one nodes from one C2 op. This fixes the issue. Reviewed By: jackm321 Differential Revision: D13352049 fbshipit-source-id: 8d8ac70656a0ac42f3a0ccecad61456a4f3b2435
58 lines
1.4 KiB
C++
58 lines
1.4 KiB
C++
#include "caffe2/onnx/helper.h"
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#include "caffe2/core/logging.h"
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#include "caffe2/core/operator.h"
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namespace caffe2 { namespace onnx {
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std::string DummyName::NewDummyName() {
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while (true) {
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const std::string name = c10::str("OC2_DUMMY_", counter_++);
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auto ret = used_names_.insert(name);
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if (ret.second) {
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return name;
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}
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}
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}
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void DummyName::Reset(const std::unordered_set<std::string> &used_names) {
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used_names_ = used_names;
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counter_ = 0;
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}
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::ONNX_NAMESPACE::TypeProto ExtraTypeProto(
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const ::ONNX_NAMESPACE::TensorProto& tensor) {
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::ONNX_NAMESPACE::TypeProto t;
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auto* tensor_type = t.mutable_tensor_type();
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tensor_type->set_elem_type(tensor.data_type());
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auto* shape = tensor_type->mutable_shape();
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for (const auto d : tensor.dims()) {
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shape->add_dim()->set_dim_value(d);
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}
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return t;
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}
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NodeProto MakeNode(
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const std::string& type,
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const std::vector<std::string>& inputs,
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const std::vector<std::string>& outputs,
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const std::vector<AttributeProto>& attributes,
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const std::string& name) {
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NodeProto node;
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if (!name.empty()) {
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node.set_name(name);
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}
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node.set_op_type(type);
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for (const auto& input: inputs) {
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node.add_input(input);
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}
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for (const auto& output: outputs) {
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node.add_output(output);
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}
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for (const auto& attr: attributes) {
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node.add_attribute()->CopyFrom(attr);
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}
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return node;
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}
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}}
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