mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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d95094cfe5
* Add BetaForAlphaBar, ConvertModelOutput, SetTimesteps, and constructor for DPMSolverMultistepScheduler * tmp * Add DPMSolverFirstOrderUpdate * Add ScaleModelInput * Add MultiStepDPMSolverSecondOrderUpdate * add MultiStepDPMSolverThirdOrderUpdate * Add Step * Add FASTDEPLOY_DECL * Add AddNoise * Fix operator * update * Fix DPMSolverMultistepScheduler * Upgrade Slice * Fix DPMSolverFirstOrderUpdate * remove FASTDEPLOY_DECL * Add config for dpm solver
106 lines
3.4 KiB
C++
106 lines
3.4 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "fastdeploy/core/fd_scalar.h"
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#include "fastdeploy/core/fd_tensor.h"
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namespace fastdeploy {
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namespace function {
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/** Excute the add operation for input FDTensors. *out = x + y.
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@param x The input tensor.
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@param y The input tensor.
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@param out The output tensor which stores the result.
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*/
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FASTDEPLOY_DECL void Add(const FDTensor& x, const FDTensor& y, FDTensor* out);
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/** Excute the subtract operation for input FDTensors. *out = x - y.
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@param x The input tensor.
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@param y The input tensor.
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@param out The output tensor which stores the result.
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*/
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FASTDEPLOY_DECL void Subtract(const FDTensor& x, const FDTensor& y,
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FDTensor* out);
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/** Excute the multiply operation for input FDTensors. *out = x * y.
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@param x The input tensor.
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@param y The input tensor.
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@param out The output tensor which stores the result.
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*/
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FASTDEPLOY_DECL void Multiply(const FDTensor& x, const FDTensor& y,
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FDTensor* out);
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/** Excute the divide operation for input FDTensors. *out = x / y.
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@param x The input tensor.
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@param y The input tensor.
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@param out The output tensor which stores the result.
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*/
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FASTDEPLOY_DECL void Divide(const FDTensor& x, const FDTensor& y,
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FDTensor* out);
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/** Excute the maximum operation for input FDTensors. *out = max(x, y).
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@param x The input tensor.
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@param y The input tensor.
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@param out The output tensor which stores the result.
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*/
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FASTDEPLOY_DECL void Maximum(const FDTensor& x, const FDTensor& y,
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FDTensor* out);
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} // namespace function
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FASTDEPLOY_DECL FDTensor operator+(const FDTensor& x, const FDTensor& y);
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template <typename T> FDTensor operator+(const FDTensor& x, T y) {
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return x + FDTensor(Scalar(y));
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}
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template <typename T> FDTensor operator+(T x, const FDTensor& y) {
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return FDTensor(Scalar(x)) + y;
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}
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FASTDEPLOY_DECL FDTensor operator-(const FDTensor& x, const FDTensor& y);
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template <typename T> FDTensor operator-(const FDTensor& x, T y) {
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return x - FDTensor(Scalar(y));
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}
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template <typename T> FDTensor operator-(T x, const FDTensor& y) {
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return FDTensor(Scalar(x)) - y;
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}
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FASTDEPLOY_DECL FDTensor operator*(const FDTensor& x, const FDTensor& y);
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template <typename T> FDTensor operator*(const FDTensor& x, T y) {
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return x * FDTensor(Scalar(y));
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}
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template <typename T> FDTensor operator*(T x, const FDTensor& y) {
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return FDTensor(Scalar(x)) * y;
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}
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FASTDEPLOY_DECL FDTensor operator/(const FDTensor& x, const FDTensor& y);
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template <typename T> FDTensor operator/(const FDTensor& x, T y) {
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return x / FDTensor(Scalar(y));
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}
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template <typename T> FDTensor operator/(T x, const FDTensor& y) {
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return FDTensor(Scalar(x)) / y;
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}
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} // namespace fastdeploy
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