98 lines
3.4 KiB
C++
98 lines
3.4 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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* Copyright (c) 2019 Konduit K.K.
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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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// Created by raver119 on 01.11.2017.
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// Modified by GS <sgazeos@gmail.com> 4/5/2018
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_argmax)
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#include <ops/declarable/helpers/axis.h>
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#include <ops/declarable/helpers/reductions.h>
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#include <ops/declarable/CustomOperations.h>
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#include <helpers/ConstantTadHelper.h>
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namespace sd {
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namespace ops {
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DECLARE_TYPES(argmax) {
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getOpDescriptor()
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->setAllowedInputTypes({ ALL_FLOATS,ALL_INTS })
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->setAllowedOutputTypes({ALL_INTS});
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}
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CUSTOM_OP_IMPL(argmax, 1, 1, false, 0, -2) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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if (output->isEmpty())
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return Status::OK();
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auto axis = *block.getIArguments();
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// axis might be dynamic (i.e. tf mode)
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if (block.width() > 1 && axis.size() == 0) {
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auto axisVector = INPUT_VARIABLE(1);
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helpers::adjustAxis(input->rankOf(), axisVector, axis);
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helpers::argMax(*input, *output, axis);
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} else {
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helpers::argMax(*input, *output, axis);
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}
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STORE_RESULT(output);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(argmax) {
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std::vector<int> dims;
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if (block.width() == 1) {
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dims = *block.getIArguments();
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} else {
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auto y = INPUT_VARIABLE(1);
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dims = y->template asVectorT<int>();
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}
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auto keepDims = block.numB() ? B_ARG(0) : false;
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auto dtype = block.numD() ? D_ARG(0) : DataType::INT64;
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// we're resolving negative axis here
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helpers::adjustAxis(shape::rank(inputShape->at(0)), dims);
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auto in = inputShape->at(0);
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for (auto d : dims) {
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// we have special case here
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if (d == sd::DataTypeUtils::max<int>())
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continue;
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REQUIRE_TRUE(d < shape::rank(in), 0, "ArgMax: axis can't be above rank")
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REQUIRE_TRUE(in[d + 1] != 0, 0, "ArgMax: you can't reduce along axis with 0 in shape");
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}
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// special case - output is scalar
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if (dims.empty() || (dims.size() == 1 && dims.at(0) == sd::DataTypeUtils::max<int>())) {
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return SHAPELIST(ConstantShapeHelper::getInstance().scalarShapeInfo(dtype));
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}
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return SHAPELIST(ShapeUtils::evalReduceShapeInfo('c', dims, inputShape->at(0), dtype, keepDims, false, block.getWorkspace()));
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}
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}
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}
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#endif
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