mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-11-01 04:12:58 +08:00
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
59 lines
1.8 KiB
C++
59 lines
1.8 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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#include "fastdeploy/function/clip.h"
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#include <algorithm>
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namespace fastdeploy {
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namespace function {
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template <typename T> class ClipFunctor {
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public:
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explicit ClipFunctor(const T min, const T max) : min_(min), max_(max) {}
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T operator()(const T x) const {
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return x < min_ ? min_ : x > max_ ? max_ : x;
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}
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private:
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T min_;
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T max_;
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};
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template <typename T>
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void ClipKernel(const FDTensor& x, double min, double max, FDTensor* out) {
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T max_ = static_cast<T>(max);
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T min_ = static_cast<T>(min);
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FDASSERT(min_ < max_,
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"max should be greater than or equal to min. But received min = %f, "
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"max = %f",
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static_cast<float>(min_), static_cast<float>(max_));
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FDTensor tmp;
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tmp.Allocate(x.Shape(), x.Dtype());
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const T* x_data = reinterpret_cast<const T*>(x.Data());
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int64_t numel = x.Numel();
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T* out_data = reinterpret_cast<T*>(tmp.Data());
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std::transform(x_data, x_data + numel, out_data, ClipFunctor<T>(min_, max_));
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*out = std::move(tmp);
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}
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void Clip(const FDTensor& x, double min, double max, FDTensor* out) {
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FD_VISIT_INT_FLOAT_TYPES(x.dtype, "ClipKernel",
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([&] { ClipKernel<data_t>(x, min, max, out); }));
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}
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} // namespace function
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} // namespace fastdeploy
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