diff options
Diffstat (limited to 'src/graph/mutators/InPlaceOperationMutator.cpp')
| -rw-r--r-- | src/graph/mutators/InPlaceOperationMutator.cpp | 227 |
1 files changed, 187 insertions, 40 deletions
diff --git a/src/graph/mutators/InPlaceOperationMutator.cpp b/src/graph/mutators/InPlaceOperationMutator.cpp index 61639a8f6f..a51dcc4f42 100644 --- a/src/graph/mutators/InPlaceOperationMutator.cpp +++ b/src/graph/mutators/InPlaceOperationMutator.cpp @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2020 Arm Limited. + * Copyright (c) 2018-2021 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -23,8 +23,16 @@ */ #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 { @@ -41,7 +49,7 @@ bool output_edges_are_separate_tensors(Graph &g, const Edge *input_edge) const auto input_tensor = input_edge->tensor(); const auto input_edge_id = input_edge->id(); - if(parent_node == nullptr) + if (parent_node == nullptr) { return false; } @@ -50,24 +58,155 @@ bool output_edges_are_separate_tensors(Graph &g, const Edge *input_edge) // If the output is connected to only one edge, then computations can // be done in-place. - if(output_edges.size() == 1) + if (output_edges.size() == 1) { return true; } - return std::all_of(output_edges.begin(), - output_edges.end(), - [&](const EdgeID & edge_id) + 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) { - // Skip check on current input edge - if(edge_id == input_edge_id) - { - return true; - } + 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); - auto edge = g.edge(edge_id); - return edge->tensor() != input_tensor; - }); + // 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, has same data type 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->desc().data_type == current_output_tensor->desc().data_type) && + (input0_tensor->accessor() == nullptr); + bool input1_can_in_place = !arm_compute::detail::have_different_dimensions(out_shape, shape1, 0) && + (qinfo1 == qinfo_out) && + (input1_tensor->desc().data_type == current_output_tensor->desc().data_type) && + (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 @@ -83,45 +222,53 @@ IGraphMutator::MutationType InPlaceOperationMutator::type() const void InPlaceOperationMutator::mutate(Graph &g) { - std::set<NodeType> in_place_nodes = - { - NodeType::ActivationLayer, - NodeType::BatchNormalizationLayer, - NodeType::EltwiseLayer, - NodeType::UnaryEltwiseLayer, - NodeType::PrintLayer - }; + 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()) + for (auto &node : g.nodes()) { - if(node && in_place_nodes.find(node->type()) != std::end(in_place_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 ((input_edge != nullptr) && output_edges_are_separate_tensors(g, input_edge)) { - // 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) + if (node->type() == NodeType::EltwiseLayer) + { + try_in_place_elementwise(node); + } + else if (node->type() == NodeType::FusedDepthwiseConvolutionBatchNormalizationLayer || + node->type() == NodeType::DepthwiseConvolutionLayer) { - 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_in_place_depthwiseconv(node); } else { - ARM_COMPUTE_LOG_GRAPH_VERBOSE("Switching to in-place computation for the node with ID : " - << node->id() << " and name : " << node->name() << std::endl); - // Update accessor - new_output_tensor->set_accessor(current_output_tensor->extract_accessor()); - // Update output - node->set_output_tensor(new_output_tensor->id(), 0); + // 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); + } } } } |