80 lines
3.1 KiB
C++
80 lines
3.1 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_evaluate_reduction_shape)
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#include <ops/declarable/CustomOperations.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(evaluate_reduction_shape, 2, 1, false, 0, 0) {
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auto inputShape = INPUT_VARIABLE(0);
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auto axis = INPUT_VARIABLE(1)->asVectorT<int>();
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auto keepDims = block.numB() > 0 ? B_ARG(0) : false;
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auto oldFormat = block.numB() > 1 ? B_ARG(1) : false;
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auto output = OUTPUT_VARIABLE(0);
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auto shape = inputShape->asVectorT<Nd4jLong>();
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auto tempShapeInfo = ConstantShapeHelper::getInstance()->createShapeInfo(nd4j::DataType::INT64, 'c', shape);
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auto tempReductionShapeInfo = ShapeUtils::evalReduceShapeInfo('c', axis, tempShapeInfo, keepDims, oldFormat, block.workspace());
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REQUIRE_TRUE(output->lengthOf() == shape::rank(tempReductionShapeInfo), 0, "evaluate_reduction_shape: output length should be %i, but got %i instead", shape::rank(tempReductionShapeInfo), output->lengthOf());
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for (int e = 0; e < shape::rank(tempReductionShapeInfo); e++)
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output->p(e, tempReductionShapeInfo[e+1]);
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return Status::OK();
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}
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DECLARE_TYPES(evaluate_reduction_shape) {
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getOpDescriptor()
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->setAllowedInputTypes(0, {ALL_INTS})
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->setAllowedInputTypes(1, {ALL_INTS})
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->setAllowedOutputTypes(0, nd4j::DataType::INT64);
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}
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DECLARE_SHAPE_FN(evaluate_reduction_shape) {
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auto input = INPUT_VARIABLE(0);
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auto axis = INPUT_VARIABLE(1)->asVectorT<int>();
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auto keepDims = block.numB() > 0 ? B_ARG(0) : false;
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auto oldFormat = block.numB() > 1 ? B_ARG(1) : false;
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Nd4jLong length = input->lengthOf();
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if (keepDims) {
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if (oldFormat) {
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// for oldFormat we can't go below rank 2
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length = nd4j::math::nd4j_max<int>(2, length);
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}
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} else {
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length -= axis.size();
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if (oldFormat) {
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length = nd4j::math::nd4j_max<int>(2, length);
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}
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}
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return SHAPELIST(ConstantShapeHelper::getInstance()->vectorShapeInfo(length, nd4j::DataType::INT64));
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}
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}
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}
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#endif |