wehub-resource-sync
97 lines
3.7 KiB
Plaintext
97 lines
3.7 KiB
Plaintext
/*
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* SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: Apache-2.0
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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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*/
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#include "common/kernels/kernel.h"
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namespace nvinfer1
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{
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namespace plugin
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{
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#define CUBLAS_CHECK(condition) \
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do \
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{ \
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cublasStatus_t status = condition; \
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if (status != CUBLAS_STATUS_SUCCESS) \
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{ \
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printf("%s %d CUBLAS FAIL %s\n", __FILE__, __LINE__, cublasGetErrorString(status)); \
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} \
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} while (0)
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// this scatter kernel works on a 2d table writing rows
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// index is 1-D array
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// updates is 2-D array
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// output is 2-D array
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// output[index[i]] = updates[i]
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__global__ void scatterKernel(
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char* output,
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const char* updates,
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const int* indices,
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int pitch,
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int rowSize)
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{
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int idx = indices[blockIdx.x];
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char* pDst = (char*)output + idx * pitch;
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const char* pSrc = updates + blockIdx.x * rowSize;
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memcpy(pDst, pSrc, rowSize);
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}
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// Transform nd index to 1 - d index
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__global__ void transformIdxKernel(
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int* output,
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const int* transformCoeff, // these are actually the output pitches of the respective dimensions
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const int* indices,
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int sliceRank)
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{
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const int* idx = indices + sliceRank * blockIdx.x;
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int transformedIdx = 0;
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for (int i = 0; i < sliceRank; i++)
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{
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transformedIdx += idx[i] * transformCoeff[i];
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}
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output[blockIdx.x] = transformedIdx;
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}
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pluginStatus_t scatterNDInference(
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cudaStream_t stream,
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int* transformCoeff,
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int nOutputDims,
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int sliceRank,
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int nRows,
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int rowSize,
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int copySize,
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int sizeOfElementInBytes,
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const void* index,
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const void* updates,
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const void* data,
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void* output,
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void* workspace)
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{
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const int* _index = (const int*)(index);
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const char* _updates = (const char*)(updates);
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char* _output = (char*)(output);
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int* wo = (int*)(workspace);
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int* transformedIdx = wo + sizeof(int)*nOutputDims;
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int* deviceTransformCoeff = wo;
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CSC(cudaMemcpy(workspace, transformCoeff, sizeof(int) * nOutputDims, cudaMemcpyHostToDevice), STATUS_FAILURE);
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transformIdxKernel<<<nRows, 1, 0, stream>>>(transformedIdx, deviceTransformCoeff, _index, sliceRank);
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CSC(cudaMemcpy(output, data, copySize, cudaMemcpyDeviceToDevice), STATUS_FAILURE);
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// assuming output pitch = rowSize i.e no padding
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scatterKernel<<<nRows, 1, 0, stream>>>(_output, _updates, transformedIdx, rowSize * 4, rowSize * 4);
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return STATUS_SUCCESS;
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}
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} // namespace plugin
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} // namespace nvinfer1
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