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Diffstat (limited to 'src/graph/nodes/BatchNormalizationLayer.cpp')
-rw-r--r-- | src/graph/nodes/BatchNormalizationLayer.cpp | 105 |
1 files changed, 0 insertions, 105 deletions
diff --git a/src/graph/nodes/BatchNormalizationLayer.cpp b/src/graph/nodes/BatchNormalizationLayer.cpp deleted file mode 100644 index 24287ac61a..0000000000 --- a/src/graph/nodes/BatchNormalizationLayer.cpp +++ /dev/null @@ -1,105 +0,0 @@ -/* - * Copyright (c) 2017-2018 ARM Limited. - * - * SPDX-License-Identifier: MIT - * - * Permission is hereby granted, free of charge, to any person obtaining a copy - * of this software and associated documentation files (the "Software"), to - * deal in the Software without restriction, including without limitation the - * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or - * sell copies of the Software, and to permit persons to whom the Software is - * furnished to do so, subject to the following conditions: - * - * The above copyright notice and this permission notice shall be included in all - * copies or substantial portions of the Software. - * - * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR - * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, - * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE - * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER - * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, - * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE - * SOFTWARE. - */ -#include "arm_compute/graph/nodes/BatchNormalizationLayer.h" - -#include "arm_compute/graph/Error.h" -#include "arm_compute/graph/NodeContext.h" -#include "arm_compute/graph/OperationRegistry.h" -#include "support/ToolchainSupport.h" - -using namespace arm_compute::graph; - -std::unique_ptr<arm_compute::IFunction> BatchNormalizationLayer::instantiate_node(GraphContext &ctx, ITensorObject *input, ITensorObject *output) -{ - ARM_COMPUTE_ERROR_ON_UNALLOCATED_TENSOR_OBJECT(input, output); - - arm_compute::ITensor *in = input->tensor(); - arm_compute::ITensor *out = output->tensor(); - _target_hint = ctx.hints().target_hint(); - - unsigned int batch_norm_size = in->info()->dimension(2); - if(_mean.tensor() == nullptr) - { - _mean.set_info(TensorInfo(TensorShape(batch_norm_size), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position())); - } - if(_var.tensor() == nullptr) - { - _var.set_info(TensorInfo(TensorShape(batch_norm_size), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position())); - } - if(_beta.tensor() == nullptr) - { - _beta.set_info(TensorInfo(TensorShape(batch_norm_size), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position())); - } - if(_gamma.tensor() == nullptr) - { - _gamma.set_info(TensorInfo(TensorShape(batch_norm_size), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position())); - } - - bool mean_is_loaded = _mean.tensor() != nullptr; - bool var_is_loaded = _var.tensor() != nullptr; - bool gamma_is_loaded = _gamma.tensor() != nullptr; - bool beta_is_loaded = _beta.tensor() != nullptr; - - // Set mean, var, gamma and beta target - _mean.set_target(_target_hint); - _var.set_target(_target_hint); - _gamma.set_target(_target_hint); - _beta.set_target(_target_hint); - - // Create node context - NodeContext node_ctx(OperationType::BatchNormalizationLayer); - node_ctx.set_target(_target_hint); - node_ctx.add_input(in); - node_ctx.add_input(_mean.tensor()); - node_ctx.add_input(_var.tensor()); - node_ctx.add_input(_beta.tensor()); - node_ctx.add_input(_gamma.tensor()); - node_ctx.add_output(out); - node_ctx.add_parameter<float>("epsilon", _epsilon); - node_ctx.add_parameter<ActivationLayerInfo>("act_info", _act_info); - - // Configure operation - auto func = OperationRegistry::get().find_operation(OperationType::BatchNormalizationLayer, _target_hint)->configure(node_ctx); - - // Fill tensors - if(!mean_is_loaded) - { - _mean.allocate_and_fill_if_needed(); - } - if(!var_is_loaded) - { - _var.allocate_and_fill_if_needed(); - } - if(!gamma_is_loaded) - { - _gamma.allocate_and_fill_if_needed(); - } - if(!beta_is_loaded) - { - _beta.allocate_and_fill_if_needed(); - } - - // Get function - return func; -}
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