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author | Georgios Pinitas <georgios.pinitas@arm.com> | 2018-04-03 13:44:29 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:49:16 +0000 |
commit | d9eb27597eabe5b7c17520f4f9b3f8a282d72573 (patch) | |
tree | 9b2b7d74b0ef83623b18d6d4279a564e5b63d641 /src/graph/nodes/DepthwiseConvolutionLayer.cpp | |
parent | a8ca2b0cfe052c9a28b691317a674f28f495c139 (diff) | |
download | ComputeLibrary-d9eb27597eabe5b7c17520f4f9b3f8a282d72573.tar.gz |
COMPMID-797: Switch to new graph.
- Cleaned up build system
Change-Id: If2faa27ee5b31fa8b972836960ab3ef671059c8d
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/126435
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Diffstat (limited to 'src/graph/nodes/DepthwiseConvolutionLayer.cpp')
-rw-r--r-- | src/graph/nodes/DepthwiseConvolutionLayer.cpp | 91 |
1 files changed, 0 insertions, 91 deletions
diff --git a/src/graph/nodes/DepthwiseConvolutionLayer.cpp b/src/graph/nodes/DepthwiseConvolutionLayer.cpp deleted file mode 100644 index e5101cc33c..0000000000 --- a/src/graph/nodes/DepthwiseConvolutionLayer.cpp +++ /dev/null @@ -1,91 +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/DepthwiseConvolutionLayer.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> DepthwiseConvolutionLayer::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(); - - if(_weights.tensor() == nullptr) - { - TensorShape weights_shape(_conv_width, _conv_height, input->tensor()->info()->tensor_shape().z()); - TensorInfo info = TensorInfo(TensorShape(weights_shape), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position()); - info.set_quantization_info(_quant_info); - _weights.set_info(std::move(info)); - } - if(_biases.has_accessor() && _biases.tensor() == nullptr) - { - DataType dt = in->info()->data_type(); - _biases.set_info(TensorInfo(TensorShape(in->info()->dimension(2)), in->info()->num_channels(), is_data_type_quantized_asymmetric(dt) ? DataType::S32 : dt, in->info()->fixed_point_position())); - } - - bool weights_is_loaded = _weights.tensor() != nullptr; - bool biases_is_loaded = _biases.has_accessor() ? _biases.tensor() != nullptr : true; - - _weights.set_target(_target_hint); - if(_biases.has_accessor()) - { - _biases.set_target(_target_hint); - } - - // Create node context - NodeContext node_ctx(OperationType::DepthwiseConvolutionLayer); - node_ctx.set_target(_target_hint); - node_ctx.add_input(in); - node_ctx.add_input(_weights.tensor()); - if(_biases.has_accessor()) - { - node_ctx.add_input(_biases.tensor()); - } - node_ctx.add_output(out); - node_ctx.add_parameter<PadStrideInfo>("ConvolutionInfo", _conv_info); - node_ctx.add_parameter<bool>("Optimized3x3", _opt3x3); - - // Configure operation - auto func = OperationRegistry::get().find_operation(OperationType::DepthwiseConvolutionLayer, _target_hint)->configure(node_ctx); - - // Fill tensors - if(!weights_is_loaded) - { - _weights.allocate_and_fill_if_needed(); - } - if(!biases_is_loaded) - { - _biases.allocate_and_fill_if_needed(); - } - - // Get function - return func; -} |