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https://github.com/PaddlePaddle/FastDeploy.git
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d74e1209ae
* Update Inpaint pipeline * Update concat * Add GaussianRandomKernel * Update GaussianRandom * Add vae endoder * Add unet infer * Add vae decoder predict * add PrepareMaskAndMaskedImage * Add imwrite * Add time counter * Fix pipeline * use FDTensor move * Fix scaled_linear dpm solver * Add RGB2BGR
37 lines
1.3 KiB
C++
37 lines
1.3 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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/** Output is obtained by gathering entries of axis of x indexed by index and
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* concatenate them together.
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@param shape The output tensor shape.
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@param out the output tensor.
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@param mean mean value of gaussian random
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@param std standard value of gaussian random
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@param seed The seed of random generator.
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@param dtype The data type of the output Tensor.
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*/
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void GaussianRandom(const std::vector<int64_t>& shape, FDTensor* out,
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FDDataType dtype = FDDataType::FP32, float mean = 0.0f,
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float std = 1.0f, int seed = 0);
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} // namespace function
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} // namespace fastdeploy
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