99 lines
2.9 KiB
C++
99 lines
2.9 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 <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_tile_to_shape)
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#include <ops/declarable/headers/shape.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(tile_to_shape, 1, 1, false, 0, -1) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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std::vector<Nd4jLong> outShape(block.getIArguments()->begin(), block.getIArguments()->end());
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if (block.isInplace()) {
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input->tileToShape(outShape, *input);
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} else {
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input->tileToShape(outShape, *output);
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}
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return Status::OK();
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}
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DECLARE_SHAPE_FN(tile_to_shape) {
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auto in = inputShape->at(0);
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// output shape always equals to arguments
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auto conv = ArrayUtils::toLongVector(*block.getIArguments());
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auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(in), shape::order(in), conv);
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return SHAPELIST(newShape);
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}
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DECLARE_TYPES(tile_to_shape) {
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getOpDescriptor()
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->setAllowedInputTypes(nd4j::DataType::ANY)
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->setSameMode(true);
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}
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DECLARE_TYPES(tile_to_shape_bp) {
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getOpDescriptor()
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->setAllowedInputTypes(nd4j::DataType::ANY)
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->setAllowedOutputTypes({ALL_FLOATS});
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}
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CUSTOM_OP_IMPL(tile_to_shape_bp, 2, 1, true, 0, -1) {
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auto input = INPUT_VARIABLE(0);
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auto epsNext = INPUT_VARIABLE(1);
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auto gradX = OUTPUT_VARIABLE(0);
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auto axisX = ShapeUtils::evalBroadcastBackwardAxis(input->shapeInfo(), epsNext->shapeInfo());
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// FIX ME: reduceAlongDimension should have a signature with result pass to avoid assigning twice
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if (!axisX.empty()) {
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auto tempRes = epsNext->reduceAlongDimension(reduce::Sum, axisX);
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gradX->assign(tempRes);
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} else
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gradX->assign(epsNext);
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STORE_RESULT(gradX);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(tile_to_shape_bp) {
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auto in = inputShape->at(0);
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Nd4jLong *newShape;
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COPY_SHAPE(in, newShape);
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return SHAPELIST(CONSTANT(newShape));
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}
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}
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}
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#endif |