109 lines
4.2 KiB
C++
109 lines
4.2 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_unique)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/unique.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(unique, 1, 2, false, 0, 0) {
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auto x = INPUT_VARIABLE(0);
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auto values = OUTPUT_VARIABLE(0);
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auto indices = OUTPUT_VARIABLE(1);
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REQUIRE_TRUE(x->dataType() == values->dataType(), 0, "Unique: input and output data types must be the same");
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return helpers::uniqueFunctor(block.launchContext(), x, values, indices, (NDArray*)nullptr);
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}
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DECLARE_SHAPE_FN(unique) {
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auto in = inputShape->at(0);
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auto source = INPUT_VARIABLE(0);
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// auto shapeList = SHAPELIST();
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Nd4jLong* valuesShape;
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Nd4jLong* indicesShape;
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int uniqueCount = helpers::uniqueCount(block.launchContext(), source);
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if (uniqueCount == 0) { // empty value Shape
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valuesShape = ConstantShapeHelper::getInstance()->emptyShapeInfo(source->dataType());
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}
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else {
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// all output shapes are 1D arrays (vectors)
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valuesShape = ConstantShapeHelper::getInstance()->vectorShapeInfo(uniqueCount, ArrayOptions::dataType(in));
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}
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// second output is always LONG
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indicesShape = ConstantShapeHelper::getInstance()->vectorShapeInfo(shape::length(in), nd4j::DataType::INT64);
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//COPY_SHAPE_EX(in, indicesShape, block.getWorkspace());
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return SHAPELIST(valuesShape, indicesShape);
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}
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CUSTOM_OP_IMPL(unique_with_counts, 1, 3, false, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto values = OUTPUT_VARIABLE(0);
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auto indices = OUTPUT_VARIABLE(1);
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auto counts = OUTPUT_VARIABLE(2);
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return helpers::uniqueFunctor(block.launchContext(), input, values, indices, counts);
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}
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DECLARE_SHAPE_FN(unique_with_counts) {
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auto in = inputShape->at(0);
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auto source = INPUT_VARIABLE(0);
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int uniqueCount = helpers::uniqueCount(block.launchContext(), source);
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// all output shapes are 1D arrays (vectors)
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// all output shapes are 1D arrays (vectors)
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auto valuesShape = ConstantShapeHelper::getInstance()->vectorShapeInfo(uniqueCount, source->dataType());
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// second output is always LONG
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auto indicesShape = ConstantShapeHelper::getInstance()->vectorShapeInfo(source->lengthOf(), nd4j::DataType::INT64);
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// third one as well
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auto countsShape = ConstantShapeHelper::getInstance()->vectorShapeInfo(uniqueCount, nd4j::DataType::INT64);
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return SHAPELIST(valuesShape, indicesShape, countsShape);
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}
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DECLARE_TYPES(unique) {
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getOpDescriptor()
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->setAllowedInputTypes(nd4j::DataType::ANY)
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->setAllowedOutputTypes(0, {ALL_INTS, ALL_FLOATS})
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->setAllowedOutputTypes(1, {ALL_INTS});
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}
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DECLARE_TYPES(unique_with_counts) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_INTS, ALL_FLOATS})
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->setAllowedOutputTypes(0, {ALL_INTS, ALL_FLOATS})
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->setAllowedOutputTypes(1, {ALL_INTS})
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->setAllowedOutputTypes(2, {ALL_INTS});
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}
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}
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}
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#endif |