2019-06-06 15:21:15 +03:00
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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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//
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#ifndef DEV_TESTS_TRANSFORM_FLOAT_INPLACE_H
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#define DEV_TESTS_TRANSFORM_FLOAT_INPLACE_H
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#include <ops.h>
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#include <types/types.h>
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2020-03-02 12:49:41 +03:00
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#include <system/op_boilerplate.h>
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#include <helpers/shape.h>
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2019-06-06 15:21:15 +03:00
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using namespace simdOps;
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#define LOCAL_TRANSFORM_STRICT_OPS \
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(23, Exp), \
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(24, Log)
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namespace functions {
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namespace transform {
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template <typename X>
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class TransformStrictInplace {
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public:
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static FORCEINLINE _CUDA_D void transformCudaLegacy(int opNum, void *dy, Nd4jLong *shapeInfo, void *params, void *result, Nd4jLong *zShapeInfo, int *allocationPointer, void *reductionPointer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets);
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template <typename OpClass>
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static FORCEINLINE _CUDA_D void transformCuda(void *vdy, Nd4jLong *shapeInfo, void *vparams, void *vresult, Nd4jLong *zShapeInfo, int *allocationPointer, void *vreductionPointer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets);
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};
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template<typename X>
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template <typename OpType>
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FORCEINLINE _CUDA_D void TransformStrictInplace<X>::transformCuda(
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void *vdy,
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Nd4jLong *shapeInfo,
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void *vparams,
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void *vresult,
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Nd4jLong *zShapeInfo,
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int *allocationPointer, void *vreductionPointer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets) {
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auto dy = static_cast<X*>(vdy);
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auto result = static_cast<X*>(vresult);
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auto params = static_cast<X*>(vparams);
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auto reductionPointer = static_cast<X*>(vreductionPointer);
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auto xOrder = shape::order(shapeInfo);
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auto zOrder = shape::order(zShapeInfo);
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auto xEws = shape::elementWiseStride(shapeInfo);
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auto zEws = shape::elementWiseStride(zShapeInfo);
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auto tid = blockIdx.x * blockDim.x + threadIdx.x;
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__shared__ Nd4jLong length;
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if(threadIdx.x == 0)
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length = shape::length(shapeInfo);
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__syncthreads();
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for (Nd4jLong i = tid; i < length; i+= gridDim.x * blockDim.x) {
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2019-09-11 20:12:09 +03:00
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auto xOffset2 = shape::getIndexOffset(i, shapeInfo);
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auto zOffset2 = shape::getIndexOffset(i, zShapeInfo);
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2019-06-06 15:21:15 +03:00
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result[zOffset2] = OpType::op(dy[xOffset2], params);
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}
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}
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template<typename X>
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FORCEINLINE _CUDA_D void TransformStrictInplace<X>::transformCudaLegacy(
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int opNum,
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void *dy,
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Nd4jLong *shapeInfo,
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void *params,
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void *result,
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Nd4jLong *zShapeInfo,
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int *allocationPointer,
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void *reductionPointer,
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Nd4jLong *tadShapeInfo,
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Nd4jLong *tadOffsets) {
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DISPATCH_BY_OPNUM_T(transformCuda, PARAMS(dy, shapeInfo, params, result, zShapeInfo, allocationPointer, reductionPointer, tadShapeInfo, tadOffsets), LOCAL_TRANSFORM_STRICT_OPS);
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}
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}
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}
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#undef LOCAL_TRANSFORM_STRICT_OPS
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#endif //DEV_TESTS_TRANSFORM_FLOAT_INPLACE_H
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