123 lines
4.7 KiB
C++
123 lines
4.7 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_bincount)
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//#include <ops/declarable/headers/parity_ops.h>
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/weights.h>
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namespace nd4j {
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namespace ops {
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DECLARE_TYPES(bincount) {
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getOpDescriptor()
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->setAllowedInputTypes(0, nd4j::DataType::INT32)
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->setAllowedInputTypes(1, nd4j::DataType::ANY)
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->setAllowedOutputTypes({ALL_INTS, ALL_FLOATS});
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}
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CUSTOM_OP_IMPL(bincount, 1, 1, false, 0, 0) {
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auto values = INPUT_VARIABLE(0);
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NDArray *weights = nullptr;
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int maxLength = -1;
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int minLength = 0;
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int maxIndex = values->argMax();
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maxLength = values->e<int>(maxIndex) + 1;
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if (block.numI() > 0) {
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minLength = nd4j::math::nd4j_max(INT_ARG(0), 0);
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if (block.numI() == 2)
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maxLength = nd4j::math::nd4j_min(maxLength, INT_ARG(1));
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}
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if (block.width() == 2) { // the second argument is weights
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weights = INPUT_VARIABLE(1);
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REQUIRE_TRUE(values->isSameShape(weights), 0, "bincount: the input and weights shapes should be equals");
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}
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else if (block.width() == 3) { // the second argument is min and the third is max
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auto min= INPUT_VARIABLE(1);
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auto max = INPUT_VARIABLE(2);
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minLength = min->e<int>(0);
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maxLength = max->e<int>(0);
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}
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else if (block.width() > 3) {
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auto min= INPUT_VARIABLE(2);
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auto max = INPUT_VARIABLE(3);
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minLength = min->e<int>(0);
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maxLength = max->e<int>(0);
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weights = INPUT_VARIABLE(1);
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REQUIRE_TRUE(values->isSameShape(weights), 0, "bincount: the input and weights shapes should be equals");
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}
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minLength = nd4j::math::nd4j_max(minLength, 0);
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maxLength = nd4j::math::nd4j_min(maxLength, values->e<int>(maxIndex) + 1);
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auto result = OUTPUT_VARIABLE(0);
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result->assign(0.0f);
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helpers::adjustWeights(block.launchContext(), values, weights, result, minLength, maxLength);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(bincount) {
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auto shapeList = SHAPELIST();
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auto in = INPUT_VARIABLE(0);
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nd4j::DataType dtype = DataType::INT32;
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if (block.width() > 1)
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dtype = ArrayOptions::dataType(inputShape->at(1));
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else if (block.numI() > 2)
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dtype = (nd4j::DataType)INT_ARG(2);
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int maxIndex = in->argMax();
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int maxLength = in->e<int>(maxIndex) + 1;
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int outLength = maxLength;
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if (block.numI() > 0)
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outLength = nd4j::math::nd4j_max(maxLength, INT_ARG(0));
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if (block.numI() > 1)
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outLength = nd4j::math::nd4j_min(outLength, INT_ARG(1));
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if (block.width() == 3) { // the second argument is min and the third is max
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auto min= INPUT_VARIABLE(1)->e<int>(0);
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auto max = INPUT_VARIABLE(2)->e<int>(0);
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outLength = nd4j::math::nd4j_max(maxLength, min);
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outLength = nd4j::math::nd4j_min(outLength, max);
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}
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else if (block.width() > 3) {
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auto min= INPUT_VARIABLE(2);
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auto max = INPUT_VARIABLE(3);
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outLength = nd4j::math::nd4j_max(maxLength, min->e<int>(0));
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outLength = nd4j::math::nd4j_min(outLength, max->e<int>(0));
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}
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auto newshape = ConstantShapeHelper::getInstance()->vectorShapeInfo(outLength, dtype);
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shapeList->push_back(newshape);
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return shapeList;
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}
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}
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}
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#endif |