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authorGiorgio Arena <giorgio.arena@arm.com>2018-05-02 13:59:04 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:51:50 +0000
commit59631a174e1b5ef23bd3a0102f60b57c99502766 (patch)
tree5d8e15d7a3b65e5071db82e2937ee1808953823f /src/graph
parentef9e05978ab008e533cc76a8e6f10c9e86a880c1 (diff)
downloadComputeLibrary-59631a174e1b5ef23bd3a0102f60b57c99502766.tar.gz
COMPMID-1104 Add fast math hint in the graph API
Change-Id: I83db135fa94c6884e080f0229a9b6430d908c029 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129823 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/graph')
-rw-r--r--src/graph/GraphBuilder.cpp10
-rw-r--r--src/graph/backends/CL/CLFunctionsFactory.cpp5
-rw-r--r--src/graph/nodes/ConvolutionLayerNode.cpp14
3 files changed, 20 insertions, 9 deletions
diff --git a/src/graph/GraphBuilder.cpp b/src/graph/GraphBuilder.cpp
index 56b31c7844..df94d0b169 100644
--- a/src/graph/GraphBuilder.cpp
+++ b/src/graph/GraphBuilder.cpp
@@ -81,7 +81,7 @@ NodeID create_simple_single_input_output_node(Graph &g, NodeParams &params, Node
}
NodeID create_grouped_convolution(Graph &g, NodeParams &params, NodeIdxPair input, NodeID weights, NodeID bias,
- PadStrideInfo conv_info, ConvolutionMethod method, unsigned int num_groups)
+ PadStrideInfo conv_info, ConvolutionMethod method, FastMathHint fast_math_hint, unsigned int num_groups)
{
bool has_bias = (bias != EmptyNodeID);
@@ -102,7 +102,7 @@ NodeID create_grouped_convolution(Graph &g, NodeParams &params, NodeIdxPair inpu
std::vector<NodeIdxPair> convolution_outputs;
for(unsigned int i = 0; i < num_groups; ++i)
{
- NodeID conv_nid = g.add_node<ConvolutionLayerNode>(conv_info, method);
+ NodeID conv_nid = g.add_node<ConvolutionLayerNode>(conv_info, method, fast_math_hint);
g.add_connection(input_split, i, conv_nid, 0);
g.add_connection(weights_split, i, conv_nid, 1);
if(has_bias)
@@ -205,7 +205,7 @@ NodeID GraphBuilder::add_batch_normalization_node(Graph &g, NodeParams params, N
NodeID GraphBuilder::add_convolution_node(Graph &g, NodeParams params, NodeIdxPair input,
Size2D kernel_spatial_extend, unsigned int depth, PadStrideInfo conv_info,
- unsigned int num_groups, ConvolutionMethod method,
+ unsigned int num_groups, ConvolutionMethod method, FastMathHint fast_math_hint,
ITensorAccessorUPtr weights_accessor, ITensorAccessorUPtr bias_accessor,
const QuantizationInfo weights_quant_info,
const QuantizationInfo out_quant_info)
@@ -245,7 +245,7 @@ NodeID GraphBuilder::add_convolution_node(Graph &g, NodeParams params, NodeIdxPa
if(num_groups == 1)
{
// Create convolution node and connect
- NodeID conv_nid = g.add_node<ConvolutionLayerNode>(conv_info, method, out_quant_info);
+ NodeID conv_nid = g.add_node<ConvolutionLayerNode>(conv_info, method, fast_math_hint, out_quant_info);
g.add_connection(input.node_id, input.index, conv_nid, 0);
g.add_connection(w_nid, 0, conv_nid, 1);
if(has_bias)
@@ -258,7 +258,7 @@ NodeID GraphBuilder::add_convolution_node(Graph &g, NodeParams params, NodeIdxPa
}
else
{
- return create_grouped_convolution(g, params, input, w_nid, b_nid, conv_info, method, num_groups);
+ return create_grouped_convolution(g, params, input, w_nid, b_nid, conv_info, method, fast_math_hint, num_groups);
}
}
diff --git a/src/graph/backends/CL/CLFunctionsFactory.cpp b/src/graph/backends/CL/CLFunctionsFactory.cpp
index ece63646ea..4626cb5781 100644
--- a/src/graph/backends/CL/CLFunctionsFactory.cpp
+++ b/src/graph/backends/CL/CLFunctionsFactory.cpp
@@ -166,6 +166,7 @@ std::unique_ptr<IFunction> create_convolution_layer(ConvolutionLayerNode &node,
const PadStrideInfo conv_info = node.convolution_info();
const ConvolutionMethod conv_algorithm = node.convolution_method();
+ const bool fast_math = node.fast_math_hint() == FastMathHint::ENABLED;
// Create and configure function (we assume that functions have been validated before creation)
std::shared_ptr<IMemoryManager> mm = get_memory_manager(ctx, Target::CL);
@@ -175,7 +176,7 @@ std::unique_ptr<IFunction> create_convolution_layer(ConvolutionLayerNode &node,
if(conv_algorithm == ConvolutionMethod::WINOGRAD)
{
std::tie(func, func_name) = create_named_memory_managed_function<CLWinogradConvolutionLayer>(
- std::string("CLWinogradConvolutionLayer"), mm, input, weights, biases, output, conv_info);
+ std::string("CLWinogradConvolutionLayer"), mm, input, weights, biases, output, conv_info, ActivationLayerInfo(), fast_math);
}
else if(conv_algorithm == ConvolutionMethod::DIRECT)
{
@@ -190,7 +191,7 @@ std::unique_ptr<IFunction> create_convolution_layer(ConvolutionLayerNode &node,
else
{
std::tie(func, func_name) = create_named_memory_managed_function<CLConvolutionLayer>(std::string("CLConvolutionLayer"), mm,
- input, weights, biases, output, conv_info);
+ input, weights, biases, output, conv_info, WeightsInfo(), Size2D(1U, 1U), ActivationLayerInfo(), fast_math);
}
// Log info
diff --git a/src/graph/nodes/ConvolutionLayerNode.cpp b/src/graph/nodes/ConvolutionLayerNode.cpp
index eaf1f7f035..6c31a6beed 100644
--- a/src/graph/nodes/ConvolutionLayerNode.cpp
+++ b/src/graph/nodes/ConvolutionLayerNode.cpp
@@ -32,8 +32,8 @@ namespace arm_compute
{
namespace graph
{
-ConvolutionLayerNode::ConvolutionLayerNode(PadStrideInfo info, ConvolutionMethod method, QuantizationInfo out_quant_info)
- : _info(std::move(info)), _method(method), _out_quant_info(out_quant_info)
+ConvolutionLayerNode::ConvolutionLayerNode(PadStrideInfo info, ConvolutionMethod method, FastMathHint fast_math_hint, QuantizationInfo out_quant_info)
+ : _info(std::move(info)), _method(method), _fast_math_hint(fast_math_hint), _out_quant_info(out_quant_info)
{
_input_edges.resize(3, EmptyEdgeID);
_outputs.resize(1, NullTensorID);
@@ -49,6 +49,16 @@ ConvolutionMethod ConvolutionLayerNode::convolution_method() const
return _method;
}
+void ConvolutionLayerNode::set_fast_math_hint(FastMathHint hint)
+{
+ _fast_math_hint = hint;
+}
+
+FastMathHint ConvolutionLayerNode::fast_math_hint() const
+{
+ return _fast_math_hint;
+}
+
PadStrideInfo ConvolutionLayerNode::convolution_info() const
{
return _info;