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* 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
45 lines
1.8 KiB
C++
45 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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#pragma once
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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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/** This operator produces a slice of input along multiple axes.
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@param x The input tensor.
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@param axes Axes that starts and ends apply to.
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@param starts If starts is a list or tuple, the elements of it should be
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integers or Tensors with shape [1]. If starts is an Tensor, it should
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be an 1-D Tensor. It represents starting indices of corresponding axis
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in axes
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@param ends If ends is a list or tuple, the elements of it should be
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integers or Tensors with shape [1]. If ends is an Tensor, it should
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be an 1-D Tensor . It represents ending indices of corresponding axis
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in axes.
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@param out The output tensor which stores the result.
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*/
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FASTDEPLOY_DECL void Slice(const FDTensor& x, const std::vector<int64_t>& axes,
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const std::vector<int64_t>& starts,
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const std::vector<int64_t>& ends, FDTensor* out);
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FASTDEPLOY_DECL void Slice(const FDTensor& x, const std::vector<int64_t>& axes,
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const std::vector<int64_t>& index, FDTensor* out);
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} // namespace function
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} // namespace fastdeploy
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