64 lines
2.7 KiB
Plaintext
64 lines
2.7 KiB
Plaintext
/*******************************************************************************
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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 GS <sgazeos@gmail.com>
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//
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#include <ops/declarable/helpers/sequence_mask.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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template <typename I, typename B>
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static __global__ void sequenceMaskKernel(void* inputBuf, Nd4jLong* inputShape, void* outputBuf, Nd4jLong* outputShape, int maxIndex) {
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__shared__ I* input;
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__shared__ B* output;
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__shared__ Nd4jLong inputLen, outputLen;
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if (threadIdx.x == 0) {
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input = reinterpret_cast<I*>(inputBuf);
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output = reinterpret_cast<B*>(outputBuf);
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inputLen = shape::length(inputShape);
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outputLen = shape::length(outputShape);
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}
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__syncthreads();
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for (auto i = blockIdx.x; i < maxIndex; i += gridDim.x)
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for(auto k = threadIdx.x; k < inputLen; k += blockDim.x)
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if (i < input[shape::getIndexOffset(k, inputShape)])
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output[shape::getIndexOffset(k * maxIndex + i, outputShape)] = B(true);
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}
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template <typename I, typename B>
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static void sequenceMask_(LaunchContext* context, NDArray* input, NDArray* output, int maxIndex) {
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dim3 launchDims(maxIndex, input->lengthOf(), 128);
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NDArray::prepareSpecialUse({output}, {input});
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auto stream = context->getCudaStream();
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sequenceMaskKernel<I, B><<<launchDims.x, launchDims.y, launchDims.z, *stream>>>(input->specialBuffer(), input->specialShapeInfo(), output->specialBuffer(), output->specialShapeInfo(), maxIndex);
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NDArray::registerSpecialUse({output}, {input});
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}
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void sequenceMask(nd4j::LaunchContext * context, NDArray* input, NDArray* output, int maxIndex) {
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BUILD_DOUBLE_SELECTOR(input->dataType(), output->dataType(), sequenceMask_, (context, input, output, maxIndex), INTEGER_TYPES, BOOL_TYPES);
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}
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BUILD_DOUBLE_TEMPLATE(template void sequenceMask_, (nd4j::LaunchContext* context, NDArray* input, NDArray* output, int maxIndex), INTEGER_TYPES, BOOL_TYPES);
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}
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}
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} |