719 lines
49 KiB
C++
719 lines
49 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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* Copyright (c) 2019-2020 Konduit K.K.
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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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// Created by GS <sgazeos@gmail.com> on 2018-12-20.
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// @author Oleg Semeniv <oleg.semeniv@gmail.com>
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//
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#include <NDArrayFactory.h>
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#include <exceptions/cuda_exception.h>
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#include <ConstantHelper.h>
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#include <ConstantShapeHelper.h>
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#include <GraphExecutioner.h>
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#include <ShapeUtils.h>
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#include <type_traits>
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#include <StringUtils.h>
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#include <NativeOps.h>
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namespace nd4j {
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////////////////////////////////////////////////////////////////////////
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template <>
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ND4J_EXPORT NDArray NDArrayFactory::create<bool>(const char order, const std::vector<Nd4jLong> &shape, const std::vector<bool> &data, nd4j::LaunchContext * context) {
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if ((int) shape.size() > MAX_RANK)
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throw std::invalid_argument("NDArrayFactory::create: rank of NDArray can't exceed 32 !");
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ShapeDescriptor descriptor(nd4j::DataType::BOOL, order, shape);
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if (descriptor.arrLength() != data.size()) {
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nd4j_printf("NDArrayFactory::create: data size [%i] doesn't match shape length [%lld]\n", data.size(), descriptor.arrLength());
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throw std::runtime_error("NDArrayFactory::create: data size doesn't match shape");
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}
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bool* hostBuffer = nullptr;
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ALLOCATE(hostBuffer, context->getWorkspace(), data.size(), bool);
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std::copy(data.begin(), data.end(), hostBuffer);
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std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(hostBuffer, data.size() * sizeof(bool), nd4j::DataType::BOOL, true, context->getWorkspace());
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NDArray result(buffer, descriptor, context);
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return result;
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}
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////////////////////////////////////////////////////////////////////////
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template <typename T>
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NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<T> &data, nd4j::LaunchContext * context) {
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if ((int) shape.size() > MAX_RANK)
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throw std::invalid_argument("NDArrayFactory::create: rank of NDArray can't exceed 32 !");
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ShapeDescriptor descriptor(DataTypeUtils::fromT<T>(), order, shape);
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if (descriptor.arrLength() != data.size()) {
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nd4j_printf("NDArrayFactory::create: data size [%i] doesn't match shape length [%lld]\n", data.size(), descriptor.arrLength());
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throw std::runtime_error("NDArrayFactory::create: data size doesn't match shape");
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}
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std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(data.data(), DataTypeUtils::fromT<T>(), descriptor.arrLength() * sizeof(T), context->getWorkspace());
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NDArray result(buffer, descriptor, context);
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return result;
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}
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<double>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<float>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<float16>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<bfloat16>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<Nd4jLong>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<uint64_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<unsigned int>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int16_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int8_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<uint8_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::vector<bool>& data, nd4j::LaunchContext * context);
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////////////////////////////////////////////////////////////////////////
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template<typename T>
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NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, nd4j::LaunchContext * context) {
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return create_(order, shape, DataTypeUtils::fromT<T>(), context);
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}
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BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray* NDArrayFactory::create_, (const char order, const std::vector<Nd4jLong> &shape, nd4j::LaunchContext * context), LIBND4J_TYPES);
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////////////////////////////////////////////////////////////////////////
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template <typename T>
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void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<T> &vector) {
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memcpy(ptr, vector.data(), vector.size() * sizeof(T));
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}
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template <>
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void ND4J_EXPORT NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<bool> &vector) {
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auto p = reinterpret_cast<bool *>(ptr);
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for (Nd4jLong e = 0; e < vector.size(); e++)
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p[e] = vector[e];
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}
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<double> &vector);
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<float> &vector);
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<float16> &vector);
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<Nd4jLong> &vector);
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<int> &vector);
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<int16_t> &vector);
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<uint8_t> &vector);
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template ND4J_EXPORT void NDArrayFactory::memcpyFromVector(void *ptr, const std::vector<int8_t> &vector);
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#ifndef __JAVACPP_HACK__
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////////////////////////////////////////////////////////////////////////
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template <typename T>
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NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const T value, const char order, nd4j::LaunchContext * context) {
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return valueOf(std::vector<Nd4jLong>(shape), value, order);
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}
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const double value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const float value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const float16 value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const bfloat16 value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const Nd4jLong value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const int value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const uint8_t value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const int8_t value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const int16_t value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const bool value, const char order, nd4j::LaunchContext * context);
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////////////////////////////////////////////////////////////////////////
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template <typename T>
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NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<T>& data, nd4j::LaunchContext * context) {
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std::vector<T> vec(data);
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return create<T>(order, shape, vec, context);
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}
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<double>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<float>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<float16>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<bfloat16>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<Nd4jLong>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<uint64_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<int>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<unsigned int>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<int16_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<int8_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<uint8_t>& data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<bool>& data, nd4j::LaunchContext * context);
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#endif
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////////////////////////////////////////////////////////////////////////
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template <typename T>
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NDArray* NDArrayFactory::create_(const T scalar, nd4j::LaunchContext * context) {
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std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(1 * sizeof(T), DataTypeUtils::fromT<T>(), context->getWorkspace(), true);
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NDArray* res = new NDArray(buffer, ShapeDescriptor::scalarDescriptor(DataTypeUtils::fromT<T>()), context);
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res->bufferAsT<T>()[0] = scalar;
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res->tickWriteHost();
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res->syncToDevice();
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return res;
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}
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const double scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const float scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const float16 scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const bfloat16 scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const Nd4jLong scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const int scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const bool scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const int8_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint8_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint16_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint32_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint64_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const int16_t scalar, nd4j::LaunchContext * context);
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template <typename T>
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NDArray NDArrayFactory::create(nd4j::DataType type, const T scalar, nd4j::LaunchContext * context) {
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if (type == DataTypeUtils::fromT<T>())
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return NDArrayFactory::create(scalar, context);
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NDArray res(type, context);
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res.p(0, scalar);
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res.syncToDevice();
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return res;
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}
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// BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT NDArray NDArrayFactory::create, (DataType type, const T scalar, nd4j::LaunchContext * context), LIBND4J_TYPES);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const double scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const float scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const float16 scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const bfloat16 scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const Nd4jLong scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const int scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const int8_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint8_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint16_t scalar, nd4j::LaunchContext* workspace);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint32_t scalar, nd4j::LaunchContext* workspace);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint64_t scalar, nd4j::LaunchContext* workspace);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const int16_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const bool scalar, nd4j::LaunchContext * context);
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template <typename T>
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NDArray NDArrayFactory::create(const T scalar, nd4j::LaunchContext * context) {
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std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(1 * sizeof(T), DataTypeUtils::fromT<T>(), context->getWorkspace(), true);
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NDArray res(buffer, ShapeDescriptor::scalarDescriptor(DataTypeUtils::fromT<T>()), context);
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res.bufferAsT<T>()[0] = scalar;
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res.tickWriteHost();
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res.syncToDevice();
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return res;
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}
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template ND4J_EXPORT NDArray NDArrayFactory::create(const double scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const float scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const float16 scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const bfloat16 scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const Nd4jLong scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const int scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const int8_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const uint8_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const int16_t scalar, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const uint16_t scalar, nd4j::LaunchContext* workspace);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const uint32_t scalar, nd4j::LaunchContext* workspace);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const uint64_t scalar, nd4j::LaunchContext* workspace);
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template ND4J_EXPORT NDArray NDArrayFactory::create(const bool scalar, nd4j::LaunchContext * context);
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////////////////////////////////////////////////////////////////////////
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template<typename T>
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NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<T> &data, nd4j::LaunchContext * context) {
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return new NDArray(NDArrayFactory::create<T>(order, shape, data, context));
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}
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<double> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<float> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<float16> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<bfloat16> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<unsigned int> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<unsigned long> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<Nd4jLong> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int8_t> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<uint8_t> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int16_t> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<uint16_t> &data, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<bool> &data, nd4j::LaunchContext * context);
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////////////////////////////////////////////////////////////////////////
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template <>
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ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, NDArray* value, const char order, nd4j::LaunchContext * context) {
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auto result = create_(order, shape, value->dataType(), context);
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result->assign(*value);
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return result;
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}
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template <>
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ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, NDArray& value, const char order, nd4j::LaunchContext * context) {
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auto result = create_(order, shape, value.dataType(), context);
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result->assign(value);
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return result;
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}
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template <typename T>
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NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const T value, const char order, nd4j::LaunchContext * context) {
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auto result = create_(order, shape, DataTypeUtils::fromT<T>());
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result->assign(value);
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return result;
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}
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const double value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const float value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const float16 value, const char order, nd4j::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const bfloat16 value, const char order, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const Nd4jLong value, const char order, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const int value, const char order, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const int16_t value, const char order, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const int8_t value, const char order, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const uint8_t value, const char order, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const bool value, const char order, nd4j::LaunchContext * context);
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray* NDArrayFactory::linspace(const T from, const T to, const Nd4jLong numElements) {
|
|
NDArray* result = NDArrayFactory::vector<T>(numElements);
|
|
//TO DO: linspace should be executed on DEVICE, but only CPU version implemnted!
|
|
for (Nd4jLong e = 0; e < numElements; e++) {
|
|
T step = (T) e / ((T) numElements - (T) 1);
|
|
result->p<T >(e, (from * ((T) 1 - step) + step * to));
|
|
}
|
|
result->syncToDevice();
|
|
|
|
return result;
|
|
}
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const double from, const double to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const float from, const float to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const float16 from, const float16 to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const bfloat16 from, const bfloat16 to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const Nd4jLong from, const Nd4jLong to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const int from, const int to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const int16_t from, const int16_t to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const uint8_t from, const uint8_t to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const uint16_t from, const uint16_t to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const uint32_t from, const uint32_t to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const uint64_t from, const uint64_t to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const int8_t from, const int8_t to, const Nd4jLong numElements);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::linspace(const bool from, const bool to, const Nd4jLong numElements);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray* NDArrayFactory::vector(Nd4jLong length, const T value, nd4j::LaunchContext * context) {
|
|
|
|
std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(length * sizeof(T), DataTypeUtils::fromT<T>(), context->getWorkspace(), true);
|
|
|
|
auto res = new NDArray(buffer, ShapeDescriptor::vectorDescriptor(length, DataTypeUtils::fromT<T>()), context);
|
|
|
|
if (value == (T)0.0f)
|
|
res->nullify();
|
|
else
|
|
res->assign(value);
|
|
|
|
return res;
|
|
}
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const double startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const float startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const float16 startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const bfloat16 startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const Nd4jLong startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const int startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint8_t startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint16_t startingValue, nd4j::LaunchContext *workspace);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint32_t startingValue, nd4j::LaunchContext *workspace);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint64_t startingValue, nd4j::LaunchContext *workspace);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const int8_t startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const int16_t startingValue, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const bool startingValue, nd4j::LaunchContext * context);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context) {
|
|
std::vector<Nd4jLong> vec(shape);
|
|
return create<T>(order, vec, context);
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArrayFactory::create, (const char, const std::initializer_list<Nd4jLong>&, nd4j::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, nd4j::LaunchContext * context) {
|
|
return create(order, shape, DataTypeUtils::fromT<T>(), context);
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArrayFactory::create, (const char order, const std::vector<Nd4jLong> &shape, nd4j::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
|
|
if ((int) shape.size() > MAX_RANK)
|
|
throw std::invalid_argument("NDArrayFactory::create: rank of NDArray can't exceed 32");
|
|
|
|
ShapeDescriptor descriptor(dtype, order, shape);
|
|
|
|
std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(descriptor.arrLength() * DataTypeUtils::sizeOfElement(dtype), dtype, context->getWorkspace());
|
|
|
|
NDArray result(buffer, descriptor, context);
|
|
|
|
result.nullify();
|
|
|
|
return result;
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::create(nd4j::DataType dtype, nd4j::LaunchContext * context) {
|
|
|
|
std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(DataTypeUtils::sizeOfElement(dtype), dtype, context->getWorkspace(), true);
|
|
|
|
NDArray res(buffer, ShapeDescriptor::scalarDescriptor(dtype), context);
|
|
|
|
res.nullify();
|
|
|
|
return res;
|
|
}
|
|
|
|
NDArray* NDArrayFactory::create_(nd4j::DataType dtype, nd4j::LaunchContext * context) {
|
|
auto result = new NDArray();
|
|
*result = NDArrayFactory::create(dtype, context);
|
|
return result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(const std::vector<T> &values, nd4j::LaunchContext * context) {
|
|
|
|
std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(values.size() * sizeof(T), DataTypeUtils::fromT<T>(), context->getWorkspace(), true);
|
|
|
|
NDArray res(buffer, ShapeDescriptor::vectorDescriptor(values.size(), DataTypeUtils::fromT<T>()), context);
|
|
|
|
memcpyFromVector<T>(res.getBuffer(), values);
|
|
|
|
res.tickWriteHost();
|
|
res.syncToDevice();
|
|
|
|
return res;
|
|
}
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<double> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<float> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<float16> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<bfloat16> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<Nd4jLong> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<int> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<int16_t> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<uint16_t> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<int8_t> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<uint8_t> &values, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<bool> &values, nd4j::LaunchContext * context);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray* NDArrayFactory::empty_(nd4j::LaunchContext * context) {
|
|
auto shapeInfo = ShapeBuilders::createScalarShapeInfo(DataTypeUtils::fromT<T>(), context->getWorkspace());
|
|
ArrayOptions::setPropertyBit(shapeInfo, ARRAY_EMPTY);
|
|
auto result = new NDArray(nullptr, shapeInfo, context, false);
|
|
|
|
RELEASE(shapeInfo, context->getWorkspace());
|
|
|
|
return result;
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray* NDArrayFactory::empty_, (nd4j::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
NDArray* NDArrayFactory::empty_(nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
if (context == nullptr)
|
|
context = nd4j::LaunchContext ::defaultContext();
|
|
|
|
auto shapeInfo = ShapeBuilders::createScalarShapeInfo(dataType, context->getWorkspace());
|
|
ArrayOptions::setPropertyBit(shapeInfo, ARRAY_EMPTY);
|
|
auto result = new NDArray(nullptr, shapeInfo, context, false);
|
|
|
|
RELEASE(shapeInfo, context->getWorkspace());
|
|
|
|
return result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::empty(nd4j::LaunchContext * context) {
|
|
return empty(DataTypeUtils::fromT<T>(), context);
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArrayFactory::empty, (nd4j::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::empty(nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
auto shapeInfo = ShapeBuilders::createScalarShapeInfo(dataType, context->getWorkspace());
|
|
ArrayOptions::setPropertyBit(shapeInfo, ARRAY_EMPTY);
|
|
NDArray result(nullptr, shapeInfo, context, false);
|
|
|
|
RELEASE(shapeInfo, context->getWorkspace());
|
|
|
|
return result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const NDArray& value, const char order, nd4j::LaunchContext * context) {
|
|
auto res = NDArrayFactory::create_(order, shape, value.dataType(), context);
|
|
res->assign(const_cast<NDArray&>(value));
|
|
return res;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::create_( const char order, const std::vector<Nd4jLong> &shape, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
|
|
return new NDArray(order, shape, dataType, context);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(T* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context) {
|
|
|
|
if ((int) shape.size() > MAX_RANK)
|
|
throw std::invalid_argument("NDArrayFactory::create: Rank of NDArray can't exceed 32");
|
|
|
|
std::vector<Nd4jLong> shp(shape);
|
|
ShapeDescriptor descriptor(DataTypeUtils::fromT<T>(), order, shp);
|
|
|
|
std::shared_ptr<DataBuffer> pBuffer = std::make_shared<DataBuffer>(buffer, descriptor.arrLength() * sizeof(T), descriptor.dataType(), false, context->getWorkspace());
|
|
|
|
NDArray result(pBuffer, descriptor, context);
|
|
|
|
return result;
|
|
}
|
|
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(double* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(float* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(float16* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(bfloat16* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(Nd4jLong * buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(int* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(bool* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(uint8_t * buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(int8_t* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(int16_t* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, nd4j::LaunchContext * context);
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const char16_t* u16string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return NDArray(u16string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const char16_t* u16string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return string_(std::u16string(u16string), dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::u16string& u16string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray(u16string, dtype, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::u16string& u16string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return NDArray(u16string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const char32_t* u32string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return NDArray(u32string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const char32_t* u32string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return string_(std::u32string(u32string), dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::u32string& u32string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray(u32string, dtype, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::u32string& u32string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return NDArray(u32string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const char* str, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return NDArray(str, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const char* str, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return string_(std::string(str), dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::string& str, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray(str, dtype, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::string& str, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return NDArray(str, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::vector<Nd4jLong> &shape, const std::initializer_list<const char *> &strings, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
return NDArray(shape, std::vector<const char*>(strings), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong> &shape, const std::vector<const char *> &strings, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
return NDArray( shape, strings, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong> &shape, const std::initializer_list<std::string> &string, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
return NDArray( shape, std::vector<std::string>(string), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong> &shape, const std::initializer_list<const char *> &strings, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
return NDArrayFactory::string_( shape, std::vector<const char*>(strings), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong> &shape, const std::vector<const char *> &strings, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
std::vector<std::string> vec(strings.size());
|
|
int cnt = 0;
|
|
for (auto s:strings)
|
|
vec[cnt++] = std::string(s);
|
|
|
|
return NDArrayFactory::string_( shape, vec, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong> &shape, const std::initializer_list<std::string> &string, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
return NDArrayFactory::string_( shape, std::vector<std::string>(string), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong> &shape, const std::vector<std::string> &string, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
return NDArray(shape, string, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::vector<Nd4jLong> &shape, const std::vector<std::string> &string, nd4j::DataType dataType, nd4j::LaunchContext * context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray( shape, string, dataType, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::vector<Nd4jLong>& shape, const std::initializer_list<const char16_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArray( shape, std::vector<const char16_t*>(strings), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::vector<const char16_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArray( shape, strings, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::initializer_list<std::u16string>& string, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArray( shape, std::vector<std::u16string>(string), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::initializer_list<const char16_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArrayFactory::string_( shape, std::vector<const char16_t*>(strings), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::vector<const char16_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
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std::vector<std::u16string> vec(strings.size());
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int cnt = 0;
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for (auto s : strings)
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vec[cnt++] = std::u16string(s);
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|
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return NDArrayFactory::string_( shape, vec, dataType, context);
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}
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/////////////////////////////////////////////////////////////////////////
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NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::initializer_list<std::u16string>& string, nd4j::DataType dataType, nd4j::LaunchContext* context) {
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return NDArrayFactory::string_( shape, std::vector<std::u16string>(string), dataType, context);
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}
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/////////////////////////////////////////////////////////////////////////
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NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::vector<std::u16string>& string, nd4j::DataType dataType, nd4j::LaunchContext* context) {
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auto res = new NDArray();
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|
*res = NDArray( shape, string, dataType, context);
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return res;
|
|
}
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|
/////////////////////////////////////////////////////////////////////////
|
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NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::vector<std::u16string>& string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
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return NDArray( shape, string, dtype, context);
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|
}
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|
/////////////////////////////////////////////////////////////////////////
|
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NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::initializer_list<const char32_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArray( shape, std::vector<const char32_t*>(strings), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
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NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::vector<const char32_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArray( shape, strings, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::initializer_list<std::u32string>& string, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArray(shape, std::vector<std::u32string>(string), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::initializer_list<const char32_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArrayFactory::string_( shape, std::vector<const char32_t*>(strings), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::vector<const char32_t*>& strings, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
std::vector<std::u32string> vec(strings.size());
|
|
int cnt = 0;
|
|
for (auto s : strings)
|
|
vec[cnt++] = std::u32string(s);
|
|
return NDArrayFactory::string_( shape, vec, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::initializer_list<std::u32string>& string, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
return NDArrayFactory::string_( shape, std::vector<std::u32string>(string), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::vector<std::u32string>& string, nd4j::DataType dataType, nd4j::LaunchContext* context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray( shape, string, dataType, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::vector<Nd4jLong>& shape, const std::vector<std::u32string>& string, nd4j::DataType dtype, nd4j::LaunchContext* context) {
|
|
return NDArray( shape, string, dtype, context);
|
|
}
|
|
|
|
|
|
NDArray NDArrayFactory::fromNpyFile(const char *fileName) {
|
|
auto size = nd4j::graph::getFileSize(fileName);
|
|
if (size < 0)
|
|
throw std::runtime_error("File doesn't exit");
|
|
|
|
auto pNPY = reinterpret_cast<char*>(::numpyFromFile(std::string(fileName)));
|
|
|
|
auto nBuffer = reinterpret_cast<void*>(::dataPointForNumpy(pNPY));
|
|
auto shape = reinterpret_cast<Nd4jLong *>(::shapeBufferForNumpy(pNPY));
|
|
|
|
auto length = shape::length(shape);
|
|
int8_t *buffer = nullptr;
|
|
nd4j::memory::Workspace *workspace = nullptr;
|
|
auto byteLen = length * DataTypeUtils::sizeOfElement(ArrayOptions::dataType(shape));
|
|
|
|
ALLOCATE(buffer, workspace, byteLen, int8_t);
|
|
memcpy(buffer, nBuffer, byteLen);
|
|
|
|
free(pNPY);
|
|
|
|
return NDArray(buffer, shape, LaunchContext::defaultContext(), true);
|
|
}
|
|
}
|