cavis/libnd4j/include/ops/declarable/generic/broadcastable/percentile.cpp

92 lines
4.3 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com), created on 17.05.2018
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_percentile)
#include <ops/declarable/CustomOperations.h>
#include <declarable/helpers/percentile.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(percentile, 1, 1, false, 1, -2) {
auto input = INPUT_VARIABLE(0); // tensor with rank > 0
auto output = OUTPUT_VARIABLE(0); // [bS, oD, oH, oW, iC] (NDHWC) or [bS, iC, oD, oH, oW] (NCDHW)
const auto q = T_ARG(0); // percentile
const int interpolation = block.getTArguments()->size() > 1 ? T_ARG(1) : 2.; // 0-"lower", 1-"higher", 2-"nearest"(default)
const int keepDims = block.getTArguments()->size() > 2 ? T_ARG(2) : 0.; // false is default
const int axisArrRank = block.getIArguments()->size();
const int inputArrRank = input->rankOf();
REQUIRE_TRUE(inputArrRank > 0, 0, "PERCENTILE OP: rank of input array must be positive (>0), but got %i instead !", inputArrRank);
REQUIRE_TRUE(0.f <= q && q <= 100.f, 0, "PERCENTILE OP: percentile parameter must be within [0, 100] range, but got %f instead !", q);
REQUIRE_TRUE(interpolation == 0 || interpolation == 1 || interpolation == 2, 0, "PERCENTILE OP: the correct values for interpolation parameter are 0, 1, 2, but got %i instead !", interpolation);
REQUIRE_TRUE(axisArrRank <= inputArrRank, 0, "PERCENTILE OP: the rank of axis array must be <= rank of input array, but got %i and %i correspondingly !", axisArrRank, inputArrRank);
for(int i = 0; i < axisArrRank; ++i) {
int dim = INT_ARG(i) >= 0 ? INT_ARG(i) : INT_ARG(i) + inputArrRank;
REQUIRE_TRUE(dim < inputArrRank, 0, "PERCENTILE OP: element (dimension) of axis array at position %i is >= rank of input array (%i >= %i), which is unacceptable !", i, dim, inputArrRank);
}
std::vector<int> axises = *block.getIArguments();
helpers::percentile(block.launchContext(), *input, *output, axises, q, interpolation);
return Status::OK();
}
DECLARE_TYPES(percentile) {
getOpDescriptor()
->setAllowedInputTypes(0, DataType::ANY)
->setAllowedOutputTypes(0, DataType::INHERIT)
->setSameMode(true);
}
DECLARE_SHAPE_FN(percentile) {
Nd4jLong* inputShapeInfo = inputShape->at(0);
const int keepDims = block.getTArguments()->size() > 2 ? T_ARG(2) : 0.; // false is default
const int axisArrRank = block.getIArguments()->size();
const int inputArrRank = inputShapeInfo[0];
REQUIRE_TRUE(inputArrRank > 0, 0, "PERCENTILE OP: rank of input array must be positive (>0), but got %i instead !", inputArrRank);
REQUIRE_TRUE(axisArrRank <= inputArrRank, 0, "PERCENTILE OP: the rank of axis array must be <= rank of input array, but got %i and %i correspondingly !", axisArrRank, inputArrRank);
for(int i = 0; i < axisArrRank; ++i) {
int dim = INT_ARG(i) >= 0 ? INT_ARG(i) : INT_ARG(i) + inputArrRank;
REQUIRE_TRUE(dim < inputArrRank, 0, "PERCENTILE OP: element (dimension) of axis array at position %i is >= rank of input array (%i >= %i), which is unacceptable !", i, dim, inputArrRank);
}
std::vector<int> axises = *block.getIArguments();
Nd4jLong* outputShapeInfo = ShapeUtils::evalReduceShapeInfo(shape::order(inputShapeInfo), axises, inputShapeInfo, keepDims, false, block.getWorkspace());
return SHAPELIST(outputShapeInfo);
}
}
}
#endif