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/backends/backendsCommon/WorkloadData.hpp b/src/backends/backendsCommon/WorkloadData.hpp
index 29d39d1..4e56aaf 100644
--- a/src/backends/backendsCommon/WorkloadData.hpp
+++ b/src/backends/backendsCommon/WorkloadData.hpp
@@ -208,18 +208,9 @@
void Validate(const WorkloadInfo& workloadInfo) const;
};
-// Convolution 2D layer workload data.
+// Convolution 3D layer workload data.
struct Convolution3dQueueDescriptor : QueueDescriptorWithParameters<Convolution3dDescriptor>
{
- Convolution3dQueueDescriptor()
- : m_Weight(nullptr)
- , m_Bias(nullptr)
- {
- }
-
- const ConstTensorHandle* m_Weight;
- const ConstTensorHandle* m_Bias;
-
void Validate(const WorkloadInfo& workloadInfo) const;
};