cavis/libnd4j/include/ops/declarable/helpers/cuda/print_variable.cu

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/*******************************************************************************
* 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 raver119@gmail.com
//
#include <ops/declarable/helpers/print_variable.h>
#include <helpers/PointersManager.h>
namespace nd4j {
namespace ops {
namespace helpers {
template <typename T>
static _CUDA_G void print_device(const void *special, const Nd4jLong *shapeInfo) {
auto length = shape::length(shapeInfo);
auto x = reinterpret_cast<const T*>(special);
// TODO: add formatting here
printf("[");
for (uint64_t e = 0; e < length; e++) {
printf("%f", (float) x[shape::getIndexOffset(e, shapeInfo)]);
if (e < length - 1)
printf(", ");
}
printf("]\n");
}
template <typename T>
static _CUDA_H void exec_print_device(LaunchContext &ctx, const void *special, const Nd4jLong *shapeInfo) {
print_device<T><<<1, 1, 1024, *ctx.getCudaStream()>>>(special, shapeInfo);
}
void print_special(LaunchContext &ctx, const NDArray &array, const std::string &message) {
NDArray::prepareSpecialUse({}, {&array});
PointersManager pm(&ctx, "print_device");
BUILD_SINGLE_SELECTOR(array.dataType(), exec_print_device, (ctx, array.getSpecialBuffer(), array.getSpecialShapeInfo()), LIBND4J_TYPES)
pm.synchronize();
NDArray::registerSpecialUse({}, {&array});
}
}
}
}