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authorIsabella Gottardi <isabella.gottardi@arm.com>2019-03-14 10:32:11 +0000
committerIsabella Gottardi <isabella.gottardi@arm.com>2019-03-20 11:23:43 +0000
commit0ae5de9124a0094e656244ad2f807c084966fc04 (patch)
treeab698ad9c43f95dda13f78cf76b753105cf69388 /src/graph/backends/NEON/NEFunctionFactory.cpp
parentb0c5037d94ba7073ccabb0ebaff54db320f184c4 (diff)
downloadComputeLibrary-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/backends/NEON/NEFunctionFactory.cpp')
-rw-r--r--src/graph/backends/NEON/NEFunctionFactory.cpp6
1 files changed, 4 insertions, 2 deletions
diff --git a/src/graph/backends/NEON/NEFunctionFactory.cpp b/src/graph/backends/NEON/NEFunctionFactory.cpp
index f23845c314..81c6e09f92 100644
--- a/src/graph/backends/NEON/NEFunctionFactory.cpp
+++ b/src/graph/backends/NEON/NEFunctionFactory.cpp
@@ -143,8 +143,10 @@ std::unique_ptr<IFunction> create_convolution_layer<NEConvolutionLayerFunctions,
<< " Weights QuantInfo: " << weights->info()->quantization_info()
<< " Output QuantInfo: " << output->info()->quantization_info();
}
- ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " << func_name
- << " Target " << NETargetInfo::TargetType
+ ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
+ << node.name()
+ << " Type: " << func_name
+ << " Target: " << NETargetInfo::TargetType
<< " Data Type: " << input->info()->data_type()
<< qss.str()
<< " Input shape: " << input->info()->tensor_shape()