87 lines
3.5 KiB
C++
87 lines
3.5 KiB
C++
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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 Yurii Shyrma (iuriish@yahoo.com), created on 03.09.2018
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_broadcast_to)
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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(broadcast_to, 2, 1, false, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto shape = INPUT_VARIABLE(1);
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auto output = OUTPUT_VARIABLE(0);
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const int inputRank = input->rankOf();
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const int shapeRank = shape->rankOf();
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const Nd4jLong shapeLen = shape->lengthOf();
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REQUIRE_TRUE(shapeRank <= 1, 0, "BROADCAST_TO op: rank of shape array should be <= 1, bot got %i instead !", shapeRank);
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REQUIRE_TRUE(inputRank <= shapeLen, 0, "BROADCAST_TO op: rank of input shape array should be <= length of shape array, bot got %i and %i correspondingly !", inputRank, shapeLen);
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std::vector<Nd4jLong > shapeBuff = shape->getBufferAsVector<Nd4jLong>();
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std::vector<Nd4jLong> outShape(shapeBuff.begin(), shapeBuff.end());
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for(int i = 1; i <= inputRank; ++i)
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REQUIRE_TRUE(input->sizeAt(inputRank-i) == outShape[shapeLen-i] || input->sizeAt(inputRank-i) == 1, 0, "BROADCAST_TO op: shape of input array %s can't be broadcasted to the shape %s !", ShapeUtils::shapeAsString(input).c_str(), ShapeUtils::shapeAsString(outShape).c_str());
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input->tile(*output);
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return Status::OK();
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}
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DECLARE_TYPES(broadcast_to) {
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getOpDescriptor()
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->setAllowedInputTypes(DataType::ANY)
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->setSameMode(true);
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}
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//////////////////////////////////////////////////////////////////////////
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DECLARE_SHAPE_FN(broadcast_to) {
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auto inputShapeInfo = inputShape->at(0);
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auto shape = INPUT_VARIABLE(1);
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const int inputRank = inputShapeInfo[0];
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const int shapeRank = shape->rankOf();
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const Nd4jLong shapeLen = shape->lengthOf();
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REQUIRE_TRUE(shapeRank <= 1, 0, "BROADCAST_TO op: rank of input shape array should be <= 1, bit got %i instead !", shapeRank);
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REQUIRE_TRUE(inputRank <= shapeLen, 0, "BROADCAST_TO op: rank of input shape array should be <= length of shape array, bot got %i and %i correspondingly !", inputRank, shapeLen);
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std::vector<Nd4jLong> shapeBuff = shape->getBufferAsVector<Nd4jLong>();
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std::vector<Nd4jLong> outShape(shapeBuff.begin(), shapeBuff.end());
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for(int i = 1; i <= inputRank; ++i)
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REQUIRE_TRUE(inputShapeInfo[inputRank+1-i] == outShape[shapeLen-i] || inputShapeInfo[inputRank+1-i] == 1, 0, "BROADCAST_TO op: shape of input array %s can't be broadcasted to the shape %s !", ShapeUtils::shapeAsString(inputShapeInfo).c_str(), ShapeUtils::shapeAsString(outShape).c_str());
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auto outShapeInfo = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inputShapeInfo), shape::order(inputShapeInfo), outShape);
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return SHAPELIST(outShapeInfo);
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}
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}
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}
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#endif
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