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46 lines
1.8 KiB
Plaintext
46 lines
1.8 KiB
Plaintext
// 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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#ifdef WITH_GPU
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#include "fastdeploy/function/cuda_cast.h"
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namespace fastdeploy {
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namespace function {
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template <typename T_IN, typename T_OUT>
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__global__ void CudaCastKernel(const T_IN* in, T_OUT* out, int edge) {
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int position = blockDim.x * blockIdx.x + threadIdx.x;
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if (position >= edge) return;
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out[position] = (T_OUT)in[position];
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}
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void CudaCast(const FDTensor& in, FDTensor* out, cudaStream_t stream) {
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int jobs = in.Numel();
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int threads = 256;
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int blocks = ceil(jobs / (float)threads);
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if (in.dtype == FDDataType::INT64 && out->dtype == FDDataType::INT32) {
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CudaCastKernel<int64_t, int32_t><<<blocks, threads, 0, stream>>>(
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reinterpret_cast<int64_t*>(const_cast<void*>(in.Data())),
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reinterpret_cast<int32_t*>(out->MutableData()), jobs);
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} else if (in.dtype == FDDataType::INT32 && out->dtype == FDDataType::INT64) {
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CudaCastKernel<int32_t, int64_t><<<blocks, threads, 0, stream>>>(
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reinterpret_cast<int32_t*>(const_cast<void*>(in.Data())),
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reinterpret_cast<int64_t*>(out->MutableData()), jobs);
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} else {
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FDASSERT(false, "CudaCast only support input INT64, output INT32.");
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}
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}
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} // namespace function
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} // namespace fastdeploy
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#endif
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