mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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129dda7809
* Add sort function * Add isfinite function * upgrade isinf isnan * Add Scalar to FDTensor * Add floor, ceil function * add cast functions * Update out_tmp * Update quantile * add gather scatter along axis * finish quantile function * Add quantile unittest * refresh code style for test source code * Add comments * Add full function * Add scalar to fd tensor * Add full unittest * Add functions headers * move fdtensor operators to fastdeploy namespace
47 lines
1.8 KiB
C++
47 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/cast.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 InT, typename OutT> struct CastOpTransformFunctor {
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OutT operator()(InT in) const { return static_cast<OutT>(in); }
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};
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template <typename InT>
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void CastKernel(const FDTensor& x, FDTensor* out, FDDataType output_dtype) {
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FD_VISIT_ALL_TYPES(output_dtype, "CastOpTransformFunctor", ([&] {
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auto* in_begin = reinterpret_cast<const InT*>(x.Data());
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auto* in_end = in_begin + x.Numel();
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FDTensor out_tmp;
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out_tmp.Allocate(x.Shape(), output_dtype);
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auto* out_begin = reinterpret_cast<data_t*>(out_tmp.Data());
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std::transform(in_begin, in_end, out_begin,
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CastOpTransformFunctor<InT, data_t>());
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*out = std::move(out_tmp);
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}));
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}
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void Cast(const FDTensor& x, FDTensor* out, FDDataType output_dtype) {
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FD_VISIT_ALL_TYPES(x.dtype, "CastKernel",
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([&] { CastKernel<data_t>(x, out, output_dtype); }));
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}
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} // namespace function
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} // namespace fastdeploy
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