89 lines
3.9 KiB
C++
89 lines
3.9 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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// Created by raver119 on 16.10.2017.
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//
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#include <ops/declarable/LegacyScalarOp.h>
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#include <array/NDArrayFactory.h>
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#include <graph/Status.h>
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namespace sd {
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namespace ops {
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LegacyScalarOp::LegacyScalarOp() : LegacyOp::LegacyOp(1) {
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this->getOpDescriptor()->allowInplace(true);
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}
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LegacyScalarOp::LegacyScalarOp(int opNum) : LegacyOp::LegacyOp(1, opNum){
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this->getOpDescriptor()->allowInplace(true);
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}
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LegacyOp* LegacyScalarOp::clone() {
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return new LegacyScalarOp(this->_opNum, *this->_scalar);
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}
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LegacyScalarOp::LegacyScalarOp(int opNum, NDArray &scalar) : LegacyOp::LegacyOp(1, opNum){
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_scalar = new NDArray(scalar.dup(scalar.ordering()));
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}
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ShapeList *LegacyScalarOp::calculateOutputShape(ShapeList *inputShape, sd::graph::Context &block) {
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auto inShape = inputShape->at(0);
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Nd4jLong *newShape;
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COPY_SHAPE(inShape, newShape);
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return SHAPELIST(CONSTANT(newShape));
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}
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Nd4jStatus LegacyScalarOp::validateAndExecute(Context &block) {
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auto x = INPUT_VARIABLE(0);
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auto z = OUTPUT_VARIABLE(0);
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int opNum = block.opNum() < 0 ? this->_opNum : block.opNum();
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ExtraArguments extras(*block.getTArguments());
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PointersManager manager(block.launchContext(), "LegacyScalarOp");
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if (block.width() > 1) {
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auto y = INPUT_VARIABLE(1);
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NDArray::prepareSpecialUse({z}, {x, y});
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NativeOpExecutioner::execScalar(block.launchContext(), opNum, x->buffer(), x->shapeInfo(), x->specialBuffer(), x->specialShapeInfo(), z->buffer(), z->shapeInfo(), z->specialBuffer(), z->specialShapeInfo(), y->buffer(), y->shapeInfo(), y->specialBuffer(), y->specialShapeInfo(), extras.argumentsAsT(z->dataType()));
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NDArray::registerSpecialUse({z}, {x, y});
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} else if (block.getTArguments()->size() > 0) {
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auto y = NDArrayFactory::create(x->dataType(), T_ARG(0), block.launchContext());
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x->applyScalarArr(static_cast<sd::scalar::Ops>(opNum), y, *z);
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// NDArray::prepareSpecialUse({z}, {x, &y});
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// NativeOpExecutioner::execScalar(block.launchContext(), opNum, x->buffer(), x->shapeInfo(), x->specialBuffer(), x->specialShapeInfo(), z->buffer(), z->shapeInfo(), z->specialBuffer(), z->specialShapeInfo(), y.buffer(), y.shapeInfo(), y.specialBuffer(), y.special(), extras.argumentsAsT(z->dataType(), 1));
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manager.synchronize();
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} else {
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NDArray::prepareSpecialUse({z}, {x, _scalar});
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NativeOpExecutioner::execScalar(block.launchContext(), opNum, x->buffer(), x->shapeInfo(), x->specialBuffer(), x->specialShapeInfo(), z->buffer(), z->shapeInfo(), z->specialBuffer(), z->specialShapeInfo(), _scalar->buffer(), _scalar->shapeInfo(), _scalar->specialBuffer(), _scalar->specialShapeInfo(), extras.argumentsAsT(z->dataType()));
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NDArray::registerSpecialUse({z}, {x, _scalar});
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}
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return Status::OK();
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}
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}
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} |