[Functions] Add +-*/ operators and reshape for FDTensor (#655)

* Add +-*/ functions

* Add same dims test case for operations

* add broadcast 0

* Add broadcast dim2 testcase

* Add broadcast dim3 and dim4 testcase

* Add +-*/ operators

* Add mixed operation

* refresh code style

* Add reshape op

* update code style
This commit is contained in:
Jack Zhou
2022-11-23 11:34:02 +08:00
committed by GitHub
parent c11bfb8341
commit de98163efa
12 changed files with 1163 additions and 126 deletions

View File

@@ -0,0 +1,75 @@
// 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.
#include "fastdeploy/function/elementwise.h"
#include "fastdeploy/function/eigen.h"
#include "fastdeploy/function/elementwise_base.h"
#include "fastdeploy/function/elementwise_functor.h"
#include "fastdeploy/utils/utils.h"
#include <algorithm>
namespace fastdeploy {
namespace function {
DEFINE_ELEMENTWISE_OP(Add);
DEFINE_ELEMENTWISE_OP(Multiply);
DEFINE_ELEMENTWISE_OP(Subtract);
DEFINE_ELEMENTWISE_OP(Divide);
void Add(const FDTensor& x, const FDTensor& y, FDTensor* out) {
FD_VISIT_ALL_TYPES(x.dtype, "AddRawKernel",
([&] { AddRawKernel<data_t>()(x, y, -1, out); }));
}
FDTensor operator+(const FDTensor& x, const FDTensor& y) {
FDTensor out;
Add(x, y, &out);
return out;
}
void Subtract(const FDTensor& x, const FDTensor& y, FDTensor* out) {
FD_VISIT_ALL_TYPES(x.dtype, "SubtractRawKernel",
([&] { SubtractRawKernel<data_t>()(x, y, -1, out); }));
}
FDTensor operator-(const FDTensor& x, const FDTensor& y) {
FDTensor out;
Subtract(x, y, &out);
return out;
}
void Multiply(const FDTensor& x, const FDTensor& y, FDTensor* out) {
FD_VISIT_ALL_TYPES(x.dtype, "MultiplyRawKernel",
([&] { MultiplyRawKernel<data_t>()(x, y, -1, out); }));
}
FDTensor operator*(const FDTensor& x, const FDTensor& y) {
FDTensor out;
Multiply(x, y, &out);
return out;
}
void Divide(const FDTensor& x, const FDTensor& y, FDTensor* out) {
FD_VISIT_ALL_TYPES(x.dtype, "DivideRawKernel",
([&] { DivideRawKernel<data_t>()(x, y, -1, out); }));
}
FDTensor operator/(const FDTensor& x, const FDTensor& y) {
FDTensor out;
Divide(x, y, &out);
return out;
}
} // namespace function
} // namespace fastdeploy