cavis/libnd4j/include/ops/declarable/generic/util/print_variable.cpp

77 lines
2.7 KiB
C++

/*******************************************************************************
* Copyright (c) 2019 Konduit K.K.
*
* 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 <op_boilerplate.h>
#if NOT_EXCLUDED(OP_print_variable)
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/print_variable.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(print_variable, 1, 1, true, 0, 0) {
// TODO: make this op compatible with ArrayList etc
auto input = INPUT_VARIABLE(0);
auto output = OUTPUT_VARIABLE(0);
std::string str;
if (block.width() == 2) {
auto message = INPUT_VARIABLE(1);
REQUIRE_TRUE(message->isS(), 0, "print_variable: message variable must be a String");
str = message->e<std::string>(0);
}
bool printSpecial = false;
if (block.numB() > 0)
printSpecial = B_ARG(0);
if (printSpecial && !nd4j::Environment::getInstance()->isCPU()) {
// only specific backends support special printout. for cpu-based backends it's the same as regular print
if (block.width() == 2)
helpers::print_special(*block.launchContext(), *input, str);
else
helpers::print_special(*block.launchContext(), *input);
} else {
// optionally add message to the print out
if (block.width() == 2) {
input->printIndexedBuffer(str.c_str());
} else {
input->printIndexedBuffer();
}
}
return Status::OK();
}
DECLARE_TYPES(print_variable) {
getOpDescriptor()
->setAllowedInputTypes(0, nd4j::DataType::ANY)
->setAllowedInputTypes(1, {ALL_STRINGS})
->setAllowedOutputTypes(0, nd4j::DataType::INT32);
}
DECLARE_SHAPE_FN(print_variable) {
return SHAPELIST(ConstantShapeHelper::getInstance()->scalarShapeInfo(DataType::INT32));
}
}
}
#endif