Add ConstTensorsAsInput support for Conv3d
* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteParser.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added Conv3d EndToEnd test.
* Added NCDHW DataLayout and unit tests.
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: I10cdd354ca5f1c748730f92ffdb36bf810f83c8e
diff --git a/src/armnnUtils/DataLayoutIndexed.cpp b/src/armnnUtils/DataLayoutIndexed.cpp
index c1c98fc..01505a0 100644
--- a/src/armnnUtils/DataLayoutIndexed.cpp
+++ b/src/armnnUtils/DataLayoutIndexed.cpp
@@ -31,6 +31,12 @@
m_WidthIndex = 3;
m_ChannelsIndex = 4;
break;
+ case armnn::DataLayout::NCDHW:
+ m_ChannelsIndex = 1;
+ m_DepthIndex = 2;
+ m_HeightIndex = 3;
+ m_WidthIndex = 4;
+ break;
default:
throw armnn::InvalidArgumentException("Unknown DataLayout value: " +
std::to_string(static_cast<int>(dataLayout)));