55 lines
2.2 KiB
Plaintext
55 lines
2.2 KiB
Plaintext
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/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://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, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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// @author Yurii Shyrma, created on 15.11.2018
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//
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#include <loops/special_kernels.h>
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namespace nd4j {
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///////////////////////////////////////////////////////////////////////
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template<typename T>
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__device__ void concatKernelScalar(int numArrays, Nd4jPointer *data, void *vz) {
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auto z = static_cast<T *>(vz);
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Nd4jLong tid = blockIdx.x * blockDim.x + threadIdx.x;
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auto input = reinterpret_cast<T **>(data);
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for (int i = tid; i < numArrays; i += blockDim.x * gridDim.x)
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z[i] = input[i][0];
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}
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///////////////////////////////////////////////////////////////////////
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template<typename T>
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__global__ void execConcatKernelScalar(int numArrays, Nd4jPointer *data, void *vz) {
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concatKernelScalar<T>(numArrays, data, vz);
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}
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///////////////////////////////////////////////////////////////////////
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template<typename T>
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__host__ void
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concatKernelScalarGeneric(dim3 &launchDims, cudaStream_t *stream, int numArrays, Nd4jPointer *data, void *vz) {
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execConcatKernelScalar<T><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(numArrays, data, vz);
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nd4j::DebugHelper::checkErrorCode(stream, "concatScalar(...) failed");
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}
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BUILD_SINGLE_TEMPLATE(template void ND4J_EXPORT concatKernelScalarGeneric, (dim3 & launchDims, cudaStream_t * stream, int numArrays, Nd4jPointer * data, void * vz), LIBND4J_TYPES);
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}
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