cavis/libnd4j/include/ops/declarable/generic/random/gamma.cpp

86 lines
3.3 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 George A. Shulinok <sgazeos@gmail.com>
//
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_random_gamma)
#include <ops/declarable/headers/random.h>
#include <ops/declarable/helpers/random.h>
namespace sd {
namespace ops {
CUSTOM_OP_IMPL(random_gamma, 2, 1, false, 0, 0) {
// gamma distribution
auto rng = block.randomGenerator();
auto shape = INPUT_VARIABLE(0);
auto alpha = INPUT_VARIABLE(1);
NDArray* beta = nullptr;
if (block.width() > 2) {
beta = INPUT_VARIABLE(2);
REQUIRE_TRUE(ShapeUtils::areShapesBroadcastable(*alpha, *beta), 0, "random_gamma: alpha and beta shapes should be broadcastable.");
}
auto output = OUTPUT_VARIABLE(0);
auto seed = 0;
if (block.getIArguments()->size()) {
seed = INT_ARG(0);
}
rng.setSeed(seed);
helpers::fillRandomGamma(block.launchContext(), rng, alpha, beta, output);
return Status::OK();
}
DECLARE_SHAPE_FN(random_gamma) {
auto in = INPUT_VARIABLE(0);
auto shape = in->template asVectorT<Nd4jLong>();
auto alphaShape = inputShape->at(1);
auto additionalShape = alphaShape;
if (inputShape->size() > 2) {
auto rest = inputShape->at(2); additionalShape = nullptr;
REQUIRE_TRUE(ShapeUtils::areShapesBroadcastable(alphaShape, rest), 0, "random_gamma: alpha and beta shapes should be broadcastable.");
const Nd4jLong* additionalShapeBroadcasted = nullptr;
ShapeUtils::evalBroadcastShapeInfo(alphaShape, rest, true, additionalShapeBroadcasted, block.workspace());
additionalShape = additionalShapeBroadcasted;
}
auto lastDim = shape::sizeAt(alphaShape, 0);
auto dtype = ArrayOptions::dataType(alphaShape);
for (auto i = 0; i < shape::rank(additionalShape); i++)
shape.push_back(shape::sizeAt(additionalShape, i));
auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(dtype, 'c', shape);
return SHAPELIST(newShape);
}
DECLARE_TYPES(random_gamma) {
getOpDescriptor()
->setAllowedInputTypes(0, {ALL_INTS})
->setAllowedInputTypes(1, {ALL_FLOATS})
->setAllowedInputTypes(2, {ALL_FLOATS})
->setAllowedOutputTypes({ALL_FLOATS});
}
}
}
#endif