| /* |
| * Copyright (c) 2018-2021 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/mutators/InPlaceOperationMutator.h" |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/graph/Graph.h" |
| #include "arm_compute/graph/Logger.h" |
| #include "arm_compute/graph/nodes/DepthwiseConvolutionLayerNode.h" |
| #include "arm_compute/graph/nodes/FusedDepthwiseConvolutionBatchNormalizationNode.h" |
| #include "support/Cast.h" |
| |
| using namespace arm_compute::utils::cast; |
| |
| namespace arm_compute |
| { |
| namespace graph |
| { |
| namespace |
| { |
| // Check if the output edges of the parent node are separate tensors. If not, |
| // it means the same output is connected to multiple nodes and computations on |
| // these nodes cannot be done in-place. |
| bool output_edges_are_separate_tensors(Graph &g, const Edge *input_edge) |
| { |
| const auto parent_node = input_edge->producer(); |
| const auto input_tensor = input_edge->tensor(); |
| const auto input_edge_id = input_edge->id(); |
| |
| if(parent_node == nullptr) |
| { |
| return false; |
| } |
| |
| const auto output_edges = parent_node->output_edges(); |
| |
| // If the output is connected to only one edge, then computations can |
| // be done in-place. |
| if(output_edges.size() == 1) |
| { |
| return true; |
| } |
| |
| return std::all_of(output_edges.begin(), |
| output_edges.end(), |
| [&](const EdgeID & edge_id) |
| { |
| // Skip check on current input edge |
| if(edge_id == input_edge_id) |
| { |
| return true; |
| } |
| |
| auto edge = g.edge(edge_id); |
| return edge->tensor() != input_tensor; |
| }); |
| } |
| |
| // If do in-place calculation, then need to use the new output and inherit original output's accessor |
| void set_new_output_and_inherit_accessor(std::unique_ptr<INode> &node, Tensor *orig_output, Tensor *new_output) |
| { |
| ARM_COMPUTE_LOG_GRAPH_INFO("Switching to in-place computation for the node with ID : " |
| << node->id() << " and name : " << node->name() << std::endl); |
| // Update accessor |
| new_output->set_accessor(orig_output->extract_accessor()); |
| // Update output |
| node->set_output_tensor(new_output->id(), 0); |
| } |
| |
| // Try to mutate the node to perform the depthwise in-place calculation |
| void try_in_place_depthwiseconv(std::unique_ptr<INode> &node) |
| { |
| // Get input edge |
| Edge *input_edge = node->input_edge(0); |
| Edge *weight_edge = node->input_edge(1); |
| ARM_COMPUTE_ERROR_ON(input_edge == nullptr || weight_edge == nullptr); |
| |
| auto input_tensor = input_edge->tensor(); |
| auto weight_tensor = weight_edge->tensor(); |
| ARM_COMPUTE_ERROR_ON(input_tensor == nullptr || weight_tensor == nullptr); |
| |
| const auto input_shape = input_tensor->desc().shape; |
| const auto qinfo_input = input_tensor->desc().quant_info; |
| |
| const auto weight_shape = weight_tensor->desc().shape; |
| const auto weight_layout = weight_tensor->desc().layout; |
| |
| // Extract PadStrideInfo and depth multiplier |
| PadStrideInfo conv_info{}; |
| unsigned int depth_multiplier{}; |
| if(node->type() == NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer) |
| { |
| conv_info = polymorphic_downcast<FusedDepthwiseConvolutionBatchNormalizationNode *>(node.get())->convolution_info(); |
| depth_multiplier = polymorphic_downcast<FusedDepthwiseConvolutionBatchNormalizationNode *>(node.get())->depth_multiplier(); |
| } |
| else if(node->type() == NodeType::DepthwiseConvolutionLayer) |
| { |
| conv_info = polymorphic_downcast<DepthwiseConvolutionLayerNode *>(node.get())->convolution_info(); |
| depth_multiplier = polymorphic_downcast<DepthwiseConvolutionLayerNode *>(node.get())->depth_multiplier(); |
| } |
| |
| // Get current output tensor |
| auto current_output_tensor = node->output(0); |
| ARM_COMPUTE_ERROR_ON(current_output_tensor == nullptr); |
| const auto out_shape = current_output_tensor->desc().shape; |
| const auto qinfo_out = current_output_tensor->desc().quant_info; |
| |
| bool input_can_in_place = !arm_compute::detail::have_different_dimensions(out_shape, input_shape, 0) && (qinfo_input == qinfo_out) && (input_tensor->accessor() == nullptr); |
| |
| // Specify conditions with which input can be in-placed |
| input_can_in_place &= weight_layout == input_tensor->desc().layout && weight_layout == DataLayout::NHWC; |
| |
| const int weights_width_idx = get_data_layout_dimension_index(weight_layout, DataLayoutDimension::WIDTH); |
| const int weights_height_idx = get_data_layout_dimension_index(weight_layout, DataLayoutDimension::HEIGHT); |
| const bool is_1x1 = weight_shape[weights_width_idx] == 1U && weight_shape[weights_height_idx] == 1U; |
| input_can_in_place &= is_1x1; |
| |
| input_can_in_place &= depth_multiplier == 1; |
| input_can_in_place &= conv_info.stride() == std::make_pair(1U, 1U); |
| input_can_in_place &= !conv_info.has_padding(); |
| // NOTE: Dilation should also be (1, 1). However currently dilation is not supported in the depthwise conv node |
| |
| if(input_can_in_place) |
| { |
| set_new_output_and_inherit_accessor(node, current_output_tensor, input_tensor); |
| } |
| else |
| { |
| ARM_COMPUTE_LOG_GRAPH_VERBOSE("Prevented in-place operation as there is an accessor bound to the input tensor or the quantization info are different.\n"); |
| } |
| } |
| |
| // Try to mutate the node to perform the elementwise in-place calculation |
| void try_in_place_elementwise(std::unique_ptr<INode> &node) |
| { |
| // Get input edge |
| Edge *input0_edge = node->input_edge(0); |
| Edge *input1_edge = node->input_edge(1); |
| ARM_COMPUTE_ERROR_ON(input0_edge == nullptr || input1_edge == nullptr); |
| |
| auto input0_tensor = input0_edge->tensor(); |
| auto input1_tensor = input1_edge->tensor(); |
| ARM_COMPUTE_ERROR_ON(input0_tensor == nullptr || input1_tensor == nullptr); |
| |
| const auto shape0 = input0_tensor->desc().shape; |
| const auto shape1 = input1_tensor->desc().shape; |
| const auto qinfo0 = input0_tensor->desc().quant_info; |
| const auto qinfo1 = input1_tensor->desc().quant_info; |
| |
| const TensorShape out_shape = TensorShape::broadcast_shape(shape0, shape1); |
| // Inputs are not broadcast compatible |
| if(out_shape.total_size() == 0) |
| { |
| return; |
| } |
| |
| // Get current output tensor |
| auto current_output_tensor = node->output(0); |
| ARM_COMPUTE_ERROR_ON(current_output_tensor == nullptr); |
| const auto qinfo_out = current_output_tensor->desc().quant_info; |
| |
| // Can do in place, if the input has same shape as output, has same quntisation info as output, and input doesn't have accessor. |
| bool input0_can_in_place = !arm_compute::detail::have_different_dimensions(out_shape, shape0, 0) && (qinfo0 == qinfo_out) && (input0_tensor->accessor() == nullptr); |
| bool input1_can_in_place = !arm_compute::detail::have_different_dimensions(out_shape, shape1, 0) && (qinfo1 == qinfo_out) && (input1_tensor->accessor() == nullptr); |
| |
| if(input0_can_in_place) |
| { |
| set_new_output_and_inherit_accessor(node, current_output_tensor, input0_tensor); |
| } |
| else if(input1_can_in_place) |
| { |
| set_new_output_and_inherit_accessor(node, current_output_tensor, input1_tensor); |
| } |
| else |
| { |
| ARM_COMPUTE_LOG_GRAPH_VERBOSE("Prevented in-place operation as there is an accessor bound to the input tensor or the quantization info are different.\n"); |
| } |
| } |
| } // namespace |
| |
| const char *InPlaceOperationMutator::name() |
| { |
| return "InPlaceOperationMutator"; |
| } |
| |
| IGraphMutator::MutationType InPlaceOperationMutator::type() const |
| { |
| return IGraphMutator::MutationType::Backend; |
| } |
| |
| void InPlaceOperationMutator::mutate(Graph &g) |
| { |
| std::set<NodeType> in_place_nodes = |
| { |
| NodeType::ActivationLayer, |
| NodeType::BatchNormalizationLayer, |
| NodeType::EltwiseLayer, |
| NodeType::UnaryEltwiseLayer, |
| NodeType::DepthwiseConvolutionLayer, |
| NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer, |
| NodeType::PrintLayer |
| }; |
| |
| // Not interested in the order of nodes |
| for(auto &node : g.nodes()) |
| { |
| if(node && in_place_nodes.find(node->type()) != std::end(in_place_nodes)) |
| { |
| // Get input edge |
| Edge *input_edge = node->input_edge(0); |
| |
| // Check if parent has a single output if yes then force in place calculation else not |
| if((input_edge != nullptr) && output_edges_are_separate_tensors(g, input_edge)) |
| { |
| if(node->type() == NodeType::EltwiseLayer) |
| { |
| try_in_place_elementwise(node); |
| } |
| else if(node->type() == NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer || node->type() == NodeType::DepthwiseConvolutionLayer) |
| { |
| try_in_place_depthwiseconv(node); |
| } |
| else |
| { |
| // Get current and new output tensors |
| auto current_output_tensor = node->output(0); |
| auto new_output_tensor = input_edge->tensor(); |
| |
| ARM_COMPUTE_ERROR_ON(current_output_tensor == nullptr || new_output_tensor == nullptr); |
| |
| // Prevent in-place operation if there is an accessor bound to the in-place tensor or quantization info are different |
| if(new_output_tensor->accessor() != nullptr || current_output_tensor->desc().quant_info != new_output_tensor->desc().quant_info) |
| { |
| ARM_COMPUTE_LOG_GRAPH_VERBOSE("Prevented in-place operation as there is an accessor bound to the input tensor or the quantization info are different.\n"); |
| } |
| else |
| { |
| set_new_output_and_inherit_accessor(node, current_output_tensor, new_output_tensor); |
| } |
| } |
| } |
| } |
| } |
| } |
| } // namespace graph |
| } // namespace arm_compute |