121 lines
3.7 KiB
C++
121 lines
3.7 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
|
|
|
|
Licensed under the Apache License, Version 2.0 (the "License");
|
|
you may not use this file except in compliance with the License.
|
|
You may obtain a copy of the License at
|
|
|
|
http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
Unless required by applicable law or agreed to in writing, software
|
|
distributed under the License is distributed on an "AS IS" BASIS,
|
|
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
See the License for the specific language governing permissions and
|
|
limitations under the License. */
|
|
|
|
#pragma once
|
|
|
|
#include <gtest/gtest.h>
|
|
|
|
#include <memory>
|
|
#include <unordered_map>
|
|
#include <unordered_set>
|
|
|
|
#include "paddle/phi/core/compat/op_utils.h"
|
|
|
|
namespace phi {
|
|
namespace tests {
|
|
|
|
class TestArgumentMappingContext : public phi::ArgumentMappingContext {
|
|
public:
|
|
TestArgumentMappingContext(
|
|
std::unordered_set<std::string> dense_tensor_ins,
|
|
std::unordered_set<std::string> sr_ins,
|
|
std::unordered_map<std::string, paddle::any> op_attrs,
|
|
std::unordered_set<std::string> dense_tensor_outs,
|
|
std::unordered_set<std::string> sr_outs = {})
|
|
: dense_tensor_inputs(dense_tensor_ins),
|
|
selected_rows_inputs(sr_ins),
|
|
attrs(op_attrs),
|
|
dense_tensor_outputs(dense_tensor_outs),
|
|
selected_rows_outputs(sr_outs) {}
|
|
|
|
bool HasInput(const std::string& name) const override {
|
|
return dense_tensor_inputs.count(name) > 0 ||
|
|
selected_rows_inputs.count(name) > 0;
|
|
}
|
|
|
|
bool HasOutput(const std::string& name) const override {
|
|
return dense_tensor_outputs.count(name) > 0 ||
|
|
selected_rows_outputs.count(name) > 0;
|
|
}
|
|
|
|
bool HasAttr(const std::string& name) const override {
|
|
return attrs.count(name) > 0;
|
|
}
|
|
|
|
paddle::any Attr(const std::string& name) const override {
|
|
return attrs.at(name);
|
|
}
|
|
|
|
size_t InputSize(const std::string& name) const override {
|
|
return dense_tensor_inputs.count(name) + selected_rows_inputs.count(name);
|
|
}
|
|
|
|
size_t OutputSize(const std::string& name) const override {
|
|
return dense_tensor_outputs.size() + selected_rows_outputs.size();
|
|
}
|
|
|
|
bool IsDenseTensorInput(const std::string& name) const override {
|
|
return dense_tensor_inputs.count(name) > 0;
|
|
}
|
|
|
|
bool IsDenseTensorInputs(const std::string& name) const override {
|
|
return dense_tensor_inputs.count(name) > 0;
|
|
}
|
|
|
|
bool IsSelectedRowsInput(const std::string& name) const override {
|
|
return selected_rows_inputs.count(name) > 0;
|
|
}
|
|
|
|
bool IsSelectedRowsInputs(const std::string& name) const override {
|
|
return selected_rows_inputs.count(name) > 0;
|
|
}
|
|
|
|
// add member if needed
|
|
bool IsDenseTensorVectorInput(const std::string& name) const override {
|
|
return false;
|
|
}
|
|
|
|
bool IsSparseCooTensorInput(const std::string& name) const override {
|
|
return false;
|
|
}
|
|
|
|
bool IsSparseCsrTensorInput(const std::string& name) const override {
|
|
return false;
|
|
}
|
|
|
|
bool IsSparseCooTensorOutput(const std::string& name) const override {
|
|
return false;
|
|
}
|
|
|
|
bool IsDenseTensorOutput(const std::string& name) const override {
|
|
return dense_tensor_outputs.count(name) > 0;
|
|
}
|
|
|
|
bool IsSelectedRowsOutput(const std::string& name) const override {
|
|
return selected_rows_outputs.count(name) > 0;
|
|
}
|
|
|
|
bool IsForInferShape() const override { return false; }
|
|
|
|
private:
|
|
const std::unordered_set<std::string> dense_tensor_inputs;
|
|
const std::unordered_set<std::string> selected_rows_inputs;
|
|
const std::unordered_map<std::string, paddle::any> attrs;
|
|
const std::unordered_set<std::string> dense_tensor_outputs;
|
|
const std::unordered_set<std::string> selected_rows_outputs;
|
|
};
|
|
|
|
} // namespace tests
|
|
} // namespace phi
|