135 lines
5.9 KiB
C++
135 lines
5.9 KiB
C++
/*******************************************************************************
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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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#include <ops/ops.h>
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#include <helpers/shape.h>
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#include <helpers/TAD.h>
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#include <ops/declarable/helpers/prefix.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 T>
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static void prefix_(scalar::Ops op, const void* vx, Nd4jLong* xShapeInfo, void* vz, Nd4jLong* zShapeInfo, bool exclusive, bool reverse) {
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const auto x = reinterpret_cast<const T *>(vx);
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auto z = reinterpret_cast<T *>(vz);
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auto length = shape::length(xShapeInfo);
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T prevSum = op == scalar::Add ? (T) 0 : (T) 1;
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T sum = prevSum;
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if (reverse) {
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if (shape::elementWiseStride(xShapeInfo) == 1 && shape::elementWiseStride(zShapeInfo) == 1 &&
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shape::order(xShapeInfo) == 'c' && shape::order(zShapeInfo) == 'c') {
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for (Nd4jLong e = length - 1; e >= 0; --e) {
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sum = op == scalar::Add ? simdOps::Add<T, T, T>::op(sum, x[e]) : simdOps::Multiply<T, T, T>::op(sum, x[e]);
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if (!exclusive)
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prevSum = sum;
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z[e] = prevSum;
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prevSum = sum;
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}
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}
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else {
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for (Nd4jLong e = length - 1; e >= 0; --e) {
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auto xOffset = shape::getIndexOffset(e, xShapeInfo);
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auto zOffset = shape::getIndexOffset(e, zShapeInfo);
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sum = op == scalar::Add ? simdOps::Add<T, T, T>::op(sum, x[xOffset]) : simdOps::Multiply<T, T, T>::op(sum, x[xOffset]);
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if (!exclusive)
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prevSum = sum;
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z[zOffset] = prevSum;
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prevSum = sum;
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}
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}
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} else {
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if (shape::elementWiseStride(xShapeInfo) == 1 && shape::elementWiseStride(zShapeInfo) == 1 &&
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shape::order(xShapeInfo) == 'c' && shape::order(zShapeInfo) == 'c') {
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for (int e = 0; e < length; e++) {
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sum = op == scalar::Add ? simdOps::Add<T, T, T>::op(sum, x[e]) : simdOps::Multiply<T, T, T>::op(sum, x[e]);
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if (!exclusive)
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prevSum = sum;
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z[e] = prevSum;
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prevSum = sum;
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}
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}
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else {
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for (int e = 0; e < length; e++) {
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auto xOffset = shape::getIndexOffset(e, xShapeInfo);
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auto zOffset = shape::getIndexOffset(e, zShapeInfo);
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sum = op == scalar::Add ? simdOps::Add<T, T, T>::op(sum, x[xOffset]) : simdOps::Multiply<T, T, T>::op(sum, x[xOffset]);
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if (!exclusive)
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prevSum = sum;
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z[zOffset] = prevSum;
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prevSum = sum;
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}
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}
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}
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};
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template <typename T>
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static void prefix_(scalar::Ops op, const NDArray* x, NDArray* z, const std::vector<int>& dims, bool exclusive, bool reverse) {
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auto xTads = x->allTensorsAlongDimension(dims);
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auto zTads = z->allTensorsAlongDimension(dims);
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auto t = xTads.size();
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for (int e = 0; e < t; e++) {
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auto tx = xTads.at(e);
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auto tz = zTads.at(e);
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prefix_<T>(op, tx->buffer(), tx->shapeInfo(), tz->buffer(), tz->shapeInfo(), exclusive, reverse);
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}
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};
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template <typename T>
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static void prefix_(scalar::Ops op, const NDArray* x, NDArray* z, bool exclusive, bool reverse) {
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prefix_<T>(op, x->getBuffer(), x->getShapeInfo(), z->buffer(), z->shapeInfo(), exclusive, reverse);
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};
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void prefix(nd4j::LaunchContext * context, scalar::Ops op, const NDArray* x, NDArray* z, bool exclusive, bool reverse) {
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BUILD_SINGLE_SELECTOR(x->dataType(), prefix_, (op, x, z, exclusive, reverse), LIBND4J_TYPES);
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}
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void prefix(nd4j::LaunchContext * context, scalar::Ops op, const NDArray* x, NDArray* z, const std::vector<int>& dims, bool exclusive, bool reverse) {
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BUILD_SINGLE_SELECTOR(x->dataType(), prefix_, (op, x, z, dims, exclusive, reverse), LIBND4J_TYPES);
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}
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BUILD_SINGLE_TEMPLATE(template void prefix_, (scalar::Ops op, const void* vx, Nd4jLong* xShapeInfo, void* vz, Nd4jLong* zShapeInfo, bool exclusive, bool reverse), LIBND4J_TYPES);
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BUILD_SINGLE_TEMPLATE(template void prefix_, (scalar::Ops op, const NDArray* x, NDArray* z, const std::vector<int>& dims, bool exclusive, bool reverse), LIBND4J_TYPES);
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BUILD_SINGLE_TEMPLATE(template void prefix_, (scalar::Ops op, const NDArray* x, NDArray* z, bool exclusive, bool reverse), LIBND4J_TYPES);
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}
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}
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} |