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[Functions] Add +-*/ operators and reshape for FDTensor (PaddlePaddle…
…#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
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -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. | ||
|
|
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| #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> | ||
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|
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| namespace fastdeploy { | ||
| namespace function { | ||
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| DEFINE_ELEMENTWISE_OP(Add); | ||
| DEFINE_ELEMENTWISE_OP(Multiply); | ||
| DEFINE_ELEMENTWISE_OP(Subtract); | ||
| DEFINE_ELEMENTWISE_OP(Divide); | ||
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| void Add(const FDTensor& x, const FDTensor& y, FDTensor* out) { | ||
| FD_VISIT_ALL_TYPES(x.dtype, "AddRawKernel", | ||
| ([&] { AddRawKernel<data_t>()(x, y, -1, out); })); | ||
| } | ||
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| FDTensor operator+(const FDTensor& x, const FDTensor& y) { | ||
| FDTensor out; | ||
| Add(x, y, &out); | ||
| return out; | ||
| } | ||
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| void Subtract(const FDTensor& x, const FDTensor& y, FDTensor* out) { | ||
| FD_VISIT_ALL_TYPES(x.dtype, "SubtractRawKernel", | ||
| ([&] { SubtractRawKernel<data_t>()(x, y, -1, out); })); | ||
| } | ||
|
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| FDTensor operator-(const FDTensor& x, const FDTensor& y) { | ||
| FDTensor out; | ||
| Subtract(x, y, &out); | ||
| return out; | ||
| } | ||
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| void Multiply(const FDTensor& x, const FDTensor& y, FDTensor* out) { | ||
| FD_VISIT_ALL_TYPES(x.dtype, "MultiplyRawKernel", | ||
| ([&] { MultiplyRawKernel<data_t>()(x, y, -1, out); })); | ||
| } | ||
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| FDTensor operator*(const FDTensor& x, const FDTensor& y) { | ||
| FDTensor out; | ||
| Multiply(x, y, &out); | ||
| return out; | ||
| } | ||
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| void Divide(const FDTensor& x, const FDTensor& y, FDTensor* out) { | ||
| FD_VISIT_ALL_TYPES(x.dtype, "DivideRawKernel", | ||
| ([&] { DivideRawKernel<data_t>()(x, y, -1, out); })); | ||
| } | ||
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| FDTensor operator/(const FDTensor& x, const FDTensor& y) { | ||
| FDTensor out; | ||
| Divide(x, y, &out); | ||
| return out; | ||
| } | ||
|
|
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| } // namespace function | ||
| } // namespace fastdeploy |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,60 @@ | ||
| // 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. | ||
|
|
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| #pragma once | ||
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| #include "fastdeploy/core/fd_tensor.h" | ||
|
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| namespace fastdeploy { | ||
| namespace function { | ||
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| /** Excute the add operation for input FDTensors. *out = x + y. | ||
| @param x The input tensor. | ||
| @param y The input tensor. | ||
| @param out The output tensor which stores the result. | ||
| */ | ||
| FASTDEPLOY_DECL void Add(const FDTensor& x, const FDTensor& y, FDTensor* out); | ||
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| FASTDEPLOY_DECL FDTensor operator+(const FDTensor& x, const FDTensor& y); | ||
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| /** Excute the subtract operation for input FDTensors. *out = x - y. | ||
| @param x The input tensor. | ||
| @param y The input tensor. | ||
| @param out The output tensor which stores the result. | ||
| */ | ||
| FASTDEPLOY_DECL void Subtract(const FDTensor& x, const FDTensor& y, | ||
| FDTensor* out); | ||
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| FASTDEPLOY_DECL FDTensor operator-(const FDTensor& x, const FDTensor& y); | ||
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| /** Excute the multiply operation for input FDTensors. *out = x * y. | ||
| @param x The input tensor. | ||
| @param y The input tensor. | ||
| @param out The output tensor which stores the result. | ||
| */ | ||
| FASTDEPLOY_DECL void Multiply(const FDTensor& x, const FDTensor& y, | ||
| FDTensor* out); | ||
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| FASTDEPLOY_DECL FDTensor operator*(const FDTensor& x, const FDTensor& y); | ||
| /** Excute the divide operation for input FDTensors. *out = x / y. | ||
| @param x The input tensor. | ||
| @param y The input tensor. | ||
| @param out The output tensor which stores the result. | ||
| */ | ||
| FASTDEPLOY_DECL void Divide(const FDTensor& x, const FDTensor& y, | ||
| FDTensor* out); | ||
| FASTDEPLOY_DECL FDTensor operator/(const FDTensor& x, const FDTensor& y); | ||
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| } // namespace function | ||
| } // namespace fastdeploy |
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