* initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * another initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * another initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Refactored buffer() and shapeInfo() methods usage with NDArray class. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt Graph class methods to use const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt choose op to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt where op shape method to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt lstsq op to use constant empty shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt matrix_diag_part op shape routine to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt determinant ops to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt mean_pairwssqerr_loss ops to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt shape methods for loss ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt log_loss op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt shape methods for ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt dilation2d ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted deconv2d ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted dynamicRNN op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods for ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods for lstm layer ops. Signed-off-by: shugeo <sgazeos@gmail.com> * few updates Signed-off-by: raver119@gmail.com <raver119@gmail.com> * first cuda tweak Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Adopt constant shapes for sconv2d ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt constant shapes for gru ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt constant shapes with shape methods for segment ops and so on. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted constant shapes with unsorted_segment_* ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted constant shapes with gamma op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods of reduce_stddev ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods for reduce_* ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt shape method for squeeze op. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt strided_slice shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored concat op shape method to adopt constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape method for mirror_pad op. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted split op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted tile ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Added const cast for mkldnn routines handles. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts. Signed-off-by: shugeo <sgazeos@gmail.com> * Cosmetic changes to proper usage of constant pointers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored depthToSpace helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored histogram helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored im2col helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored gather and gatherND helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage on percentile helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed gather shape with helpers and range buffer usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with space to depth helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage and constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with LUP decomposition> Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored onehot_ helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pad and prefix to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactoed softmax helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed space to batch helpers to use buffers properly. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed stack and split helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with sparse to dense helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with mindistance_ helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with tile helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed constant shape usage with legacy pairwise bool ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored a couple of methods to adopt constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed broadcasting with constant shape." Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const usage with inplace reverse and constant shapes with legacy reduction. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored legacy ops with const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored sort to adopt constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected sort for constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed constant shape usage with special methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored Context to conform with constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * CUDA broadcasting headers Signed-off-by: raver119@gmail.com <raver119@gmail.com> * pairwise/indexreduce/random headers Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Refactored native ops to adopt constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * legacy reduce3/scalar headers Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Corrected pullRow signature and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected routines to proper use of constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored tests to use constant shapes properly. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored legacy ops tests to use constant shapes properly. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored buffer usage with NDArray tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed native ops tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed special concat routine. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with test. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with a test. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored TAD.h and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored calcStrides* routines to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed miscelaneous errors with constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * NativeOps const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Corrected definitions for declared functions. Signed-off-by: shugeo <sgazeos@gmail.com> * NativeOps const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * few more const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed const shapes with shape routines. Signed-off-by: shugeo <sgazeos@gmail.com> * few more const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed shape method for broadcastable case. Signed-off-by: shugeo <sgazeos@gmail.com> * few more const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * xw_plus_b BP shape fn restored Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed signatures with broadcasting. Signed-off-by: shugeo <sgazeos@gmail.com> * Repaired backprops shape methods for a set of operations. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored broadcast bool for cuda. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored methods for 3 args with const qualifier. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed a couple of kernel signatures for broadcasting. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernels signatures for const buffers and shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pairwise methods to persistent buffers and shapes usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt const to buffers and shapes with kernels. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt const to buffers and shapes with scalar kernels. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored indexreduce kernels signatures to use const buffers and shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pairwise kernels to adopt cons shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pairwise bool kernels to adopt cons shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored random special ops to conform with const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored native ops to conform with const shapes and buffers under cuda platform. Signed-off-by: shugeo <sgazeos@gmail.com> * Cosmetical changes only. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shapes and buffers error. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected start pos routine. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored methods to conform with const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored helpers to use proper methods instead. Signed-off-by: shugeo <sgazeos@gmail.com> * bunch of changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next bunch of changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next bunch of changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed execScalar declaration. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed execScalar declaration. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected const shape cases with sort and so on. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shapes for sort. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored kernel declarations to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernels declarations to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected kernel declarations to adopt const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernels declarations to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed segment helpers kernels declarations and so on to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shape usage with segment and solve helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernel declaration with adjustWeight helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed cuda implementations for constant shape helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted const shape usage with kernels. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted top_k kernels to use const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected kernels declarations to adopt const shapes with helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored NDArray definitions to adopt const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shapes with image suppression helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Slight improvement with buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored buffer usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored buffer usage with tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shape usage with definitions. Signed-off-by: shugeo <sgazeos@gmail.com> * minor updates on cpu side Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Refactored const shape usage with ConstantDescritor and native ops with cuda platform. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored tear and tile kernels to adopt with const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * softmax_loop fix Signed-off-by: raver119 <raver119@gmail.com> * update missing signature Signed-off-by: raver119@gmail.com <raver119@gmail.com> * softmax again Signed-off-by: raver119@gmail.com <raver119@gmail.com> * few more missing consts Signed-off-by: raver119 <raver119@gmail.com> * new methods updated Signed-off-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: shugeo <sgazeos@gmail.com>
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 <array/NDArrayFactory.h>
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#include <exceptions/cuda_exception.h>
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#include <helpers/ConstantHelper.h>
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#include <helpers/ConstantShapeHelper.h>
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#include <graph/GraphExecutioner.h>
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#include <helpers/ShapeUtils.h>
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#include <type_traits>
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#include <helpers/StringUtils.h>
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#include <legacy/NativeOps.h>
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namespace sd {
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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, sd::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(sd::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), sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::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, sd::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const float value, const char order, sd::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const float16 value, const char order, sd::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const bfloat16 value, const char order, sd::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const Nd4jLong value, const char order, sd::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const int value, const char order, sd::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, sd::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, sd::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, sd::LaunchContext * context);
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template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::initializer_list<Nd4jLong>& shape, const bool value, const char order, sd::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, sd::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, sd::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, sd::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, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<bfloat16>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<Nd4jLong>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<uint64_t>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<int>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<unsigned int>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<int16_t>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<int8_t>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<uint8_t>& data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<bool>& data, sd::LaunchContext * context);
|
|
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray* NDArrayFactory::create_(const T scalar, sd::LaunchContext * context) {
|
|
|
|
std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(1 * sizeof(T), DataTypeUtils::fromT<T>(), context->getWorkspace(), true);
|
|
|
|
NDArray* res = new NDArray(buffer, ShapeDescriptor::scalarDescriptor(DataTypeUtils::fromT<T>()), context);
|
|
|
|
res->bufferAsT<T>()[0] = scalar;
|
|
|
|
res->tickWriteHost();
|
|
res->syncToDevice();
|
|
|
|
return res;
|
|
}
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const double scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const float scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const float16 scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const bfloat16 scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const Nd4jLong scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const int scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const bool scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const int8_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint8_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint16_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint32_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const uint64_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const int16_t scalar, sd::LaunchContext * context);
|
|
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(sd::DataType type, const T scalar, sd::LaunchContext * context) {
|
|
|
|
if (type == DataTypeUtils::fromT<T>())
|
|
return NDArrayFactory::create(scalar, context);
|
|
|
|
NDArray res(type, context);
|
|
res.p(0, scalar);
|
|
res.syncToDevice();
|
|
|
|
return res;
|
|
}
|
|
// BUILD_DOUBLE_TEMPLATE(template ND4J_EXPORT NDArray NDArrayFactory::create, (DataType type, const T scalar, sd::LaunchContext * context), LIBND4J_TYPES);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const double scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const float scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const float16 scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const bfloat16 scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const Nd4jLong scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const int scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const int8_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint8_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint16_t scalar, sd::LaunchContext* workspace);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint32_t scalar, sd::LaunchContext* workspace);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const uint64_t scalar, sd::LaunchContext* workspace);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const int16_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(DataType type, const bool scalar, sd::LaunchContext * context);
|
|
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(const T scalar, sd::LaunchContext * context) {
|
|
|
|
std::shared_ptr<DataBuffer> buffer = std::make_shared<DataBuffer>(1 * sizeof(T), DataTypeUtils::fromT<T>(), context->getWorkspace(), true);
|
|
|
|
NDArray res(buffer, ShapeDescriptor::scalarDescriptor(DataTypeUtils::fromT<T>()), context);
|
|
|
|
res.bufferAsT<T>()[0] = scalar;
|
|
|
|
res.tickWriteHost();
|
|
res.syncToDevice();
|
|
|
|
return res;
|
|
}
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const double scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const float scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const float16 scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const bfloat16 scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const Nd4jLong scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const int scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const int8_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const uint8_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const int16_t scalar, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const uint16_t scalar, sd::LaunchContext* workspace);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const uint32_t scalar, sd::LaunchContext* workspace);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const uint64_t scalar, sd::LaunchContext* workspace);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const bool scalar, sd::LaunchContext * context);
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template<typename T>
|
|
NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<T> &data, sd::LaunchContext * context) {
|
|
|
|
return new NDArray(NDArrayFactory::create<T>(order, shape, data, context));
|
|
}
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<double> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<float> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<float16> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<bfloat16> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<unsigned int> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<unsigned long> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<Nd4jLong> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int8_t> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<uint8_t> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<int16_t> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<uint16_t> &data, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::create_(const char order, const std::vector<Nd4jLong> &shape, const std::vector<bool> &data, sd::LaunchContext * context);
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <>
|
|
ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, NDArray* value, const char order, sd::LaunchContext * context) {
|
|
auto result = create_(order, shape, value->dataType(), context);
|
|
result->assign(*value);
|
|
return result;
|
|
}
|
|
|
|
template <>
|
|
ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, NDArray& value, const char order, sd::LaunchContext * context) {
|
|
auto result = create_(order, shape, value.dataType(), context);
|
|
result->assign(value);
|
|
return result;
|
|
}
|
|
|
|
template <typename T>
|
|
NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const T value, const char order, sd::LaunchContext * context) {
|
|
auto result = create_(order, shape, DataTypeUtils::fromT<T>());
|
|
result->assign(value);
|
|
return result;
|
|
}
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const double value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const float value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const float16 value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const bfloat16 value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const Nd4jLong value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const int value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const int16_t value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const int8_t value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const uint8_t value, const char order, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::valueOf(const std::vector<Nd4jLong>& shape, const bool value, const char order, sd::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, sd::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, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const float startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const float16 startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const bfloat16 startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const Nd4jLong startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const int startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint8_t startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint16_t startingValue, sd::LaunchContext *workspace);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint32_t startingValue, sd::LaunchContext *workspace);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const uint64_t startingValue, sd::LaunchContext *workspace);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const int8_t startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const int16_t startingValue, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray* NDArrayFactory::vector(Nd4jLong length, const bool startingValue, sd::LaunchContext * context);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(const char order, const std::initializer_list<Nd4jLong>& shape, sd::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>&, sd::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, sd::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, sd::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::create(const char order, const std::vector<Nd4jLong> &shape, sd::DataType dtype, sd::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(sd::DataType dtype, sd::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_(sd::DataType dtype, sd::LaunchContext * context) {
|
|
auto result = new NDArray();
|
|
*result = NDArrayFactory::create(dtype, context);
|
|
return result;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray NDArrayFactory::create(const std::vector<T> &values, sd::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.buffer(), values);
|
|
|
|
res.tickWriteHost();
|
|
res.syncToDevice();
|
|
|
|
return res;
|
|
}
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<double> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<float> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<float16> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<bfloat16> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<Nd4jLong> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<int> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<int16_t> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<uint16_t> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<int8_t> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<uint8_t> &values, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(const std::vector<bool> &values, sd::LaunchContext * context);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
template <typename T>
|
|
NDArray* NDArrayFactory::empty_(sd::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_, (sd::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
NDArray* NDArrayFactory::empty_(sd::DataType dataType, sd::LaunchContext * context) {
|
|
if (context == nullptr)
|
|
context = sd::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(sd::LaunchContext * context) {
|
|
return empty(DataTypeUtils::fromT<T>(), context);
|
|
}
|
|
BUILD_SINGLE_TEMPLATE(template ND4J_EXPORT NDArray NDArrayFactory::empty, (sd::LaunchContext * context), LIBND4J_TYPES);
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::empty(sd::DataType dataType, sd::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, sd::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, sd::DataType dataType, sd::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, sd::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, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(float* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(float16* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(bfloat16* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(Nd4jLong * buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(int* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(bool* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(uint8_t * buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(int8_t* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
template ND4J_EXPORT NDArray NDArrayFactory::create(int16_t* buffer, const char order, const std::initializer_list<Nd4jLong>& shape, sd::LaunchContext * context);
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const char16_t* u16string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray(u16string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const char16_t* u16string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return string_(std::u16string(u16string), dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::u16string& u16string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray(u16string, dtype, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::u16string& u16string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray(u16string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const char32_t* u32string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray(u32string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const char32_t* u32string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return string_(std::u32string(u32string), dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::u32string& u32string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray(u32string, dtype, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::u32string& u32string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray(u32string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const char* str, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray(str, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const char* str, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return string_(std::string(str), dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::string& str, sd::DataType dtype, sd::LaunchContext* context) {
|
|
auto res = new NDArray();
|
|
*res = NDArray(str, dtype, context);
|
|
return res;
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::string& str, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray(str, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string(const std::vector<Nd4jLong> &shape, const std::initializer_list<const char *> &strings, sd::DataType dataType, sd::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, sd::DataType dataType, sd::LaunchContext * context) {
|
|
return NDArray( shape, strings, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong> &shape, const std::initializer_list<std::string> &string, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::LaunchContext * context) {
|
|
return NDArray(shape, string, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_(const std::vector<Nd4jLong> &shape, const std::vector<std::string> &string, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::LaunchContext* context) {
|
|
return NDArray( shape, strings, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::initializer_list<std::u16string>& string, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::LaunchContext* context) {
|
|
std::vector<std::u16string> vec(strings.size());
|
|
int cnt = 0;
|
|
for (auto s : strings)
|
|
vec[cnt++] = std::u16string(s);
|
|
|
|
return NDArrayFactory::string_( shape, vec, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::initializer_list<std::u16string>& string, sd::DataType dataType, sd::LaunchContext* context) {
|
|
return NDArrayFactory::string_( shape, std::vector<std::u16string>(string), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray* NDArrayFactory::string_( const std::vector<Nd4jLong>& shape, const std::vector<std::u16string>& string, sd::DataType dataType, sd::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::u16string>& string, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray( shape, string, dtype, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::initializer_list<const char32_t*>& strings, sd::DataType dataType, sd::LaunchContext* context) {
|
|
return NDArray( shape, std::vector<const char32_t*>(strings), dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::vector<const char32_t*>& strings, sd::DataType dataType, sd::LaunchContext* context) {
|
|
return NDArray( shape, strings, dataType, context);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////
|
|
NDArray NDArrayFactory::string( const std::vector<Nd4jLong>& shape, const std::initializer_list<std::u32string>& string, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dataType, sd::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, sd::DataType dtype, sd::LaunchContext* context) {
|
|
return NDArray( shape, string, dtype, context);
|
|
}
|
|
|
|
|
|
NDArray NDArrayFactory::fromNpyFile(const char *fileName) {
|
|
auto size = sd::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;
|
|
sd::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);
|
|
}
|
|
}
|