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author | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-03-14 10:32:11 +0000 |
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committer | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-03-20 11:23:43 +0000 |
commit | 0ae5de9124a0094e656244ad2f807c084966fc04 (patch) | |
tree | ab698ad9c43f95dda13f78cf76b753105cf69388 /src/graph/GraphBuilder.cpp | |
parent | b0c5037d94ba7073ccabb0ebaff54db320f184c4 (diff) | |
download | ComputeLibrary-0ae5de9124a0094e656244ad2f807c084966fc04.tar.gz |
COMPMID-1995: Prepare Graph to support different input/output quantization info
- Added support for different input/output qinfo in ActivationLayer and DepthwiseConv
- Added support for different input/output qinfo in ConcatenateLayer introducing ConcatDescriptor
- Added reshape validate
- Allow OutputLayer to return a specific connection index from the input
- Not run Inplace and Depth mutator when input/output quantization info are different
Change-Id: I03f5e416fc43ddd284e1501887202a3145f76d8a
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/852
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'src/graph/GraphBuilder.cpp')
-rw-r--r-- | src/graph/GraphBuilder.cpp | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/src/graph/GraphBuilder.cpp b/src/graph/GraphBuilder.cpp index 30f1fc6894..74f60d5354 100644 --- a/src/graph/GraphBuilder.cpp +++ b/src/graph/GraphBuilder.cpp @@ -111,9 +111,10 @@ NodeID GraphBuilder::add_output_node(Graph &g, NodeParams params, NodeIdxPair in return nid; } -NodeID GraphBuilder::add_activation_node(Graph &g, NodeParams params, NodeIdxPair input, ActivationLayerInfo act_info) +NodeID GraphBuilder::add_activation_node(Graph &g, NodeParams params, NodeIdxPair input, ActivationLayerInfo act_info, + const QuantizationInfo out_quant_info) { - return create_simple_single_input_output_node<ActivationLayerNode>(g, params, input, act_info); + return create_simple_single_input_output_node<ActivationLayerNode>(g, params, input, act_info, out_quant_info); } NodeID GraphBuilder::add_batch_normalization_node(Graph &g, NodeParams params, NodeIdxPair input, float epsilon, @@ -293,11 +294,11 @@ NodeID GraphBuilder::add_deconvolution_node(Graph &g, NodeParams params, NodeIdx return deconv_nid; } -NodeID GraphBuilder::add_concatenate_node(Graph &g, NodeParams params, std::vector<NodeIdxPair> inputs, DataLayoutDimension axis) +NodeID GraphBuilder::add_concatenate_node(Graph &g, NodeParams params, std::vector<NodeIdxPair> inputs, descriptors::ConcatLayerDescriptor concat_descriptor) { ARM_COMPUTE_ERROR_ON(inputs.size() == 0); - NodeID nid = g.add_node<ConcatenateLayerNode>(inputs.size(), axis); + NodeID nid = g.add_node<ConcatenateLayerNode>(inputs.size(), concat_descriptor); unsigned int i = 0; for(const auto &input : inputs) @@ -312,7 +313,7 @@ NodeID GraphBuilder::add_concatenate_node(Graph &g, NodeParams params, std::vect NodeID GraphBuilder::add_depthwise_convolution_node(Graph &g, NodeParams params, NodeIdxPair input, Size2D kernel_spatial_extend, PadStrideInfo conv_info, int depth_multiplier, DepthwiseConvolutionMethod method, - ITensorAccessorUPtr weights_accessor, ITensorAccessorUPtr bias_accessor, const QuantizationInfo quant_info) + ITensorAccessorUPtr weights_accessor, ITensorAccessorUPtr bias_accessor, const QuantizationInfo quant_info, const QuantizationInfo out_quant_info) { CHECK_NODEIDX_PAIR(input, g); ARM_COMPUTE_ERROR_ON((kernel_spatial_extend.width == 0) || (kernel_spatial_extend.height == 0)); @@ -351,7 +352,7 @@ NodeID GraphBuilder::add_depthwise_convolution_node(Graph &g, NodeParams params, } // Create convolution node and connect - NodeID conv_nid = g.add_node<DepthwiseConvolutionLayerNode>(conv_info, depth_multiplier, method); + NodeID conv_nid = g.add_node<DepthwiseConvolutionLayerNode>(conv_info, depth_multiplier, method, 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) |