141 lines
4.3 KiB
C++
141 lines
4.3 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author raver119@gmail.com
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//
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#include <array/ExtraArguments.h>
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#include <array/DataType.h>
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#include <array/DataTypeUtils.h>
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#include <stdexcept>
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#include <types/types.h>
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#ifdef __CUDABLAS__
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#include <cuda.h>
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#include <cuda_runtime.h>
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#endif
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namespace nd4j {
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ExtraArguments::ExtraArguments(std::initializer_list<double> arguments) {
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_fpArgs = arguments;
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}
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ExtraArguments::ExtraArguments(std::initializer_list<Nd4jLong> arguments) {
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_intArgs = arguments;
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}
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ExtraArguments::ExtraArguments(const std::vector<double> &arguments) {
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_fpArgs = arguments;
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}
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ExtraArguments::ExtraArguments(const std::vector<Nd4jLong> &arguments) {
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_intArgs = arguments;
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}
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ExtraArguments::ExtraArguments(const std::vector<int> &arguments) {
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for (const auto &v:arguments)
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_intArgs.emplace_back(static_cast<Nd4jLong>(v));
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}
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ExtraArguments::ExtraArguments() {
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// no-op
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}
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ExtraArguments::~ExtraArguments() {
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for (auto p:_pointers) {
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#ifdef __CUDABLAS__
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cudaFree(p);
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#else // CPU branch
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delete[] reinterpret_cast<int8_t *>(p);
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#endif
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}
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}
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template <typename T>
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void ExtraArguments::convertAndCopy(Nd4jPointer pointer, Nd4jLong offset) {
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auto length = this->length();
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auto target = reinterpret_cast<T*>(pointer);
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#ifdef __CUDABLAS__
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target = new T[length];
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#endif
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if (!_fpArgs.empty()) {
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for (int e = offset; e < _fpArgs.size(); e++) {
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target[e] = static_cast<T>(_fpArgs[e]);
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}
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} else if (_intArgs.empty()) {
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for (int e = offset; e < _intArgs.size(); e++) {
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target[e] = static_cast<T>(_intArgs[e]);
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}
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}
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#ifdef __CUDABLAS__
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// TODO: maybe make it asynchronous eventually?
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cudaMemcpy(pointer, target, length * DataTypeUtils::sizeOf(DataTypeUtils::fromT<T>()), cudaMemcpyHostToDevice);
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delete[] target;
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#endif
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}
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BUILD_SINGLE_TEMPLATE(template void ExtraArguments::convertAndCopy, (Nd4jPointer pointer, Nd4jLong offset), LIBND4J_TYPES);
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void* ExtraArguments::allocate(size_t length, size_t elementSize) {
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#ifdef __CUDABLAS__
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Nd4jPointer ptr;
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auto res = cudaMalloc(reinterpret_cast<void **>(&ptr), length * elementSize);
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if (res != 0)
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throw std::runtime_error("Can't allocate CUDA memory");
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#else // CPU branch
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auto ptr = new int8_t[length * elementSize];
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if (!ptr)
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throw std::runtime_error("Can't allocate memory");
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#endif
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return ptr;
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}
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size_t ExtraArguments::length() {
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if (!_fpArgs.empty())
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return _fpArgs.size();
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else if (!_intArgs.empty())
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return _intArgs.size();
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else
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return 0;
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}
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template <typename T>
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void* ExtraArguments::argumentsAsT(Nd4jLong offset) {
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return argumentsAsT(DataTypeUtils::fromT<T>(), offset);
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}
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BUILD_SINGLE_TEMPLATE(template void *ExtraArguments::argumentsAsT, (Nd4jLong offset), LIBND4J_TYPES);
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void* ExtraArguments::argumentsAsT(nd4j::DataType dataType, Nd4jLong offset) {
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if (_fpArgs.empty() && _intArgs.empty())
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return nullptr;
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// we allocate pointer
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auto ptr = allocate(length() - offset, DataTypeUtils::sizeOf(dataType));
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// fill it with data
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BUILD_SINGLE_SELECTOR(dataType, convertAndCopy, (ptr, offset), LIBND4J_TYPES);
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// store it internally for future release
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_pointers.emplace_back(ptr);
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return ptr;
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}
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}
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