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Diffstat (limited to 'runtime/neurun/backend/acl_common/Convert.cc')
| -rw-r--r-- | runtime/neurun/backend/acl_common/Convert.cc | 193 |
1 files changed, 0 insertions, 193 deletions
diff --git a/runtime/neurun/backend/acl_common/Convert.cc b/runtime/neurun/backend/acl_common/Convert.cc deleted file mode 100644 index fc5be72a2..000000000 --- a/runtime/neurun/backend/acl_common/Convert.cc +++ /dev/null @@ -1,193 +0,0 @@ -/* - * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved - * - * Licensed under the Apache License, Version 2.0 (the "License"); - * you may not use this file except in compliance with the License. - * You may obtain a copy of the License at - * - * http://www.apache.org/licenses/LICENSE-2.0 - * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. - */ - -#include "Convert.h" - -#include "Swizzle.h" -#include "ir/DataType.h" -#include <cpp14/memory.h> - -namespace -{ - -::arm_compute::DataLayout asDataLayout(neurun::ir::Layout layout) -{ - switch (layout) - { - case neurun::ir::Layout::NHWC: - return ::arm_compute::DataLayout::NHWC; - case neurun::ir::Layout::NCHW: - return ::arm_compute::DataLayout::NCHW; - default: - return ::arm_compute::DataLayout::UNKNOWN; - } -} - -} // namespace - -namespace neurun -{ -namespace backend -{ -namespace acl_common -{ - -::arm_compute::TensorShape asTensorShape(const ir::Shape &shape, ir::Layout frontend_layout, - ir::Layout backend_layout, bool apply_dim_correction) -{ - const uint32_t rank = shape.rank(); - - ::arm_compute::TensorShape res{}; - - res.set_num_dimensions(rank); - - for (uint32_t axis = 0; axis < rank; ++axis) - { - // NOTE In some cases, in incorrect dimensions is required. - // For example, intput_size is 1 in LSTM. The input-to-input weights([num_units, input_size]) of - // LSTM is used as the weight of the FullyConnected. - // The FullyConnected's weight must be greater or equal than 2-dimensions. - // However, if the dimension correction is applied to input_to_input_weights with input_size - // equal to 1, it will be changed to 1-D. - // So input_to_input_weights is not used by the weight of FullyConnected. - res.set(ToARMComputeAxis(rank, axis, frontend_layout, backend_layout).value(), shape.dim(axis), - apply_dim_correction); - } - - return res; -} - -::arm_compute::Coordinates asTensorCoordinate(const ::neurun::util::Coordinates &coord, - ir::Layout frontend_layout, ir::Layout backend_layout) -{ - const uint32_t rank = coord.size(); - - ::arm_compute::Coordinates res{}; - - res.set_num_dimensions(rank); - - for (uint32_t axis = 0; axis < rank; ++axis) - { - res.set(ToARMComputeAxis(rank, axis, frontend_layout, backend_layout).value(), coord[axis]); - } - - return res; -} - -::arm_compute::DataType asDataType(const ir::DataType type) -{ - switch (type) - { - case ir::DataType::FLOAT32: - return ::arm_compute::DataType::F32; - case ir::DataType::INT32: - return ::arm_compute::DataType::S32; - case ir::DataType::UINT32: - return ::arm_compute::DataType::U32; - case ir::DataType::QUANT8_ASYMM: - return ::arm_compute::DataType::QASYMM8; - case ir::DataType::BOOL8: - case ir::DataType::UINT8: - return ::arm_compute::DataType::U8; - case ir::DataType::QUANT8_SYMM: - return ::arm_compute::DataType::S8; - default: - throw std::runtime_error("Not supported, yet"); - break; - } -} - -::arm_compute::QuantizationInfo asQuantizationInfo(const float scale, const int32_t offset) -{ - return ::arm_compute::QuantizationInfo(scale, offset); -} - -::arm_compute::TensorInfo asTensorInfo(const ir::Shape &shape, const ir::TypeInfo &typeInfo, - ir::Layout frontend_layout, ir::Layout backend_layout, - bool apply_dim_correction) -{ - ::arm_compute::TensorInfo info( - asTensorShape(shape, frontend_layout, backend_layout, apply_dim_correction), 1, - asDataType(typeInfo.type()), asQuantizationInfo(typeInfo.scale(), typeInfo.offset())); - info.set_data_layout(asDataLayout(backend_layout)); - return info; -} - -::arm_compute::PadStrideInfo asPadStrideInfo(const ir::ExplicitPadding &padding, - const ir::Stride &stride) -{ - return ::arm_compute::PadStrideInfo{stride.horizontal, - stride.vertical, - padding.left, - padding.right, - padding.top, - padding.bottom, - ::arm_compute::DimensionRoundingType::FLOOR}; -} - -::arm_compute::ActivationLayerInfo asActivationLayerInfo(const ir::Activation act_code) -{ - switch (act_code) - { - case ir::Activation::NONE: - return ::arm_compute::ActivationLayerInfo{}; - case ir::Activation::RELU: - return ::arm_compute::ActivationLayerInfo{ - ::arm_compute::ActivationLayerInfo::ActivationFunction::RELU}; - case ir::Activation::RELU1: - return ::arm_compute::ActivationLayerInfo{ - ::arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 1.0f, -1.0f}; - case ir::Activation::RELU6: - return ::arm_compute::ActivationLayerInfo{ - ::arm_compute::ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.0f, 0.0f}; - // Cases for activation of LSTM. - case ir::Activation::TANH: - return ::arm_compute::ActivationLayerInfo{ - ::arm_compute::ActivationLayerInfo::ActivationFunction::TANH, 1.0f, 1.0f}; - case ir::Activation::SIGMOID: - // NOTE The sigmoid function is a special case of the Logistic function when L=1, k=1, x0=0. - // TODO In ACL and nnapi sepc, currently, Logistic's L always is 1, k always is 1, x0 always - // 0(always sigmoid) regardless of values of the parameter. - // If ACL support non-sigmoid logistic, should fix param values. - return ::arm_compute::ActivationLayerInfo{ - ::arm_compute::ActivationLayerInfo::ActivationFunction::LOGISTIC, 0.0f, 0.0f}; - default: - throw std::runtime_error{"Not supported, yet"}; - break; - } -} - -std::unique_ptr<AclFunction> asAclFunction(std::unique_ptr<::arm_compute::IFunction> &&layer) -{ - return nnfw::cpp14::make_unique<AclFunction>(std::move(layer)); -} - -ir::Layout asRuntimeLayout(::arm_compute::DataLayout data_layout) -{ - switch (data_layout) - { - case ::arm_compute::DataLayout::NHWC: - return ir::Layout::NHWC; - case ::arm_compute::DataLayout::NCHW: - return ir::Layout::NCHW; - default: - return ir::Layout::UNKNOWN; - } -} - -} // namespace acl_common -} // namespace backend -} // namespace neurun |