commit 0ae5de9124a0094e656244ad2f807c084966fc04
author Isabella Gottardi <isabella.gottardi@arm.com> Thu Mar 14 10:32:11 2019 +0000
committer Isabella Gottardi <isabella.gottardi@arm.com> Wed Mar 20 11:23:43 2019 +0000
tree ab698ad9c43f95dda13f78cf76b753105cf69388
parent b0c5037d94ba7073ccabb0ebaff54db320f184c4

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>

src/graph/backends/NEON/NEFunctionFactory.cpp

diff --git a/src/graph/backends/NEON/NEFunctionFactory.cpp b/src/graph/backends/NEON/NEFunctionFactory.cpp
index f23845c..81c6e09 100644
--- a/src/graph/backends/NEON/NEFunctionFactory.cpp
+++ b/src/graph/backends/NEON/NEFunctionFactory.cpp
@@ -143,8 +143,10 @@
             << " 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()