86 lines
3.3 KiB
C++
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
|