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/mutators/DepthConcatSubTensorMutator.cpp

diff --git a/src/graph/mutators/DepthConcatSubTensorMutator.cpp b/src/graph/mutators/DepthConcatSubTensorMutator.cpp
index a170c4d..0e0a26b 100644
--- a/src/graph/mutators/DepthConcatSubTensorMutator.cpp
+++ b/src/graph/mutators/DepthConcatSubTensorMutator.cpp
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2018 ARM Limited.
+ * Copyright (c) 2018-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -69,11 +69,12 @@
                 continue;
             }
 
-            // Check that all tensor have the same target and valid inputs
+            // Check that all tensor have the same target, valid inputs and same quantization info
             bool is_valid = std::all_of(node->input_edges().cbegin(), node->input_edges().cend(),
                                         [&](const EdgeID & eid)
             {
-                return (g.edge(eid) != nullptr) && (g.edge(eid)->tensor() != nullptr) && (g.edge(eid)->tensor()->desc().target == output_tensor->desc().target);
+                return (g.edge(eid) != nullptr) && (g.edge(eid)->tensor() != nullptr) && (g.edge(eid)->tensor()->desc().target == output_tensor->desc().target)
+                       && (g.edge(eid)->tensor()->desc().quant_info == output_tensor->desc().quant_info);
             });
 
             // Create subtensors