dde50ee570
* minor cmake changes to make macos happy * space_to_batch/batch_to_space validation fix * - choose op tweaks - tests updated to match appleid tweaks Signed-off-by: raver119@gmail.com <raver119@gmail.com> * - get rid of bad import Signed-off-by: raver119@gmail.com <raver119@gmail.com> * - choose now uses shape function - choose test updated
99 lines
3.4 KiB
C++
99 lines
3.4 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 Adam Gibson
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_choose)
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#include <helpers/ShapeUtils.h>
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/choose.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(choose, -1, 2, false, -2, -1) {
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int mode = INT_ARG(0);
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auto result = OUTPUT_VARIABLE(0);
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auto numResults = OUTPUT_VARIABLE(1);
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if (block.width() > 1) {
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auto arg = INPUT_VARIABLE(0);
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auto comp = INPUT_VARIABLE(1);
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helpers::chooseFunctorArray(block.launchContext(), arg, comp, mode, result, numResults);
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}//scalar case
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else {
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double scalar = T_ARG(0);
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auto arg = INPUT_VARIABLE(0);
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helpers::chooseFunctorScalar(block.launchContext(), arg, scalar, mode, result, numResults);
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}
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return Status::OK();
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}
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DECLARE_TYPES(choose) {
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getOpDescriptor()
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->setAllowedInputTypes(0, {ALL_FLOATS})
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->setAllowedInputTypes(1, {ALL_FLOATS})
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->setAllowedOutputTypes(0, {ALL_FLOATS})
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->setAllowedOutputTypes(1, {ALL_INTS});
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}
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DECLARE_SHAPE_FN(choose) {
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Nd4jLong *shape;
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int rank;
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int mode = INT_ARG(0);
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auto numResults = NDArrayFactory::create<Nd4jLong>(0L);
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if(block.width() > 1) {
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auto first = INPUT_VARIABLE(0);
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auto second = INPUT_VARIABLE(1);
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if(first->lengthOf() > second->lengthOf()) {
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shape = first->getShapeInfo();
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rank = first->rankOf();
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}
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else {
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shape = second->getShapeInfo();
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rank = second->rankOf();
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}
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helpers::chooseFunctorArray(block.launchContext(), first, second, mode, nullptr, &numResults);
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}
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else {
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auto first = INPUT_VARIABLE(0);
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shape = first->getShapeInfo();
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rank = first->rankOf();
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double scalar = T_ARG(0);
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helpers::chooseFunctorScalar(block.launchContext(), first, scalar, mode, nullptr, &numResults);
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}
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auto newShape = ConstantShapeHelper::getInstance()->vectorShapeInfo(numResults.e<Nd4jLong>(0), ArrayOptions::dataType(inputShape->at(0)));
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auto shapeScalar = ConstantShapeHelper::getInstance()->scalarShapeInfo(nd4j::DataType::INT64);
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return SHAPELIST(newShape, shapeScalar);
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}
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}
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}
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#endif |