Age | Commit message (Collapse) | Author |
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* Fix bug with missing ValidateInputsOutputs in Cl Workload
* Renamed data type tests to be more specific
* Future proofing
Signed-off-by: Keith Davis <keith.davis@arm.com>
Change-Id: I157acc318e40d727fcfb3f36f7f577fc87472f3d
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!android-nn-driver:2622
Change-Id: If99d3eff71ff66ba28af1e5af248299fe04511b9
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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!android-nn-driver:2572
Change-Id: I8fe52ceb09987b3d05c539409510f535165455cc
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I8d2050f4478fe9d9cdf9e374b8906827cc769689
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* Create a public API for the common backend files
* Move OutputHandler to armnn internal
* Remove unused headers
Signed-off-by: Matteo Martincigh <matteo.martincigh@arm.com>
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I3e86d908b021e3561befa9d45158d87d2cbb18c0
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*Add the call to ReorderWeightChannelsForAcl for QuantizedSymm8PerAxis weights
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I0d2e4c8328753ad15858130945b4fbb193943dfa
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* Add conversion method to reverse bits in Shrink_Axis_Mask
* Add Unit tests for Neon, CL and Reference backends
* Fix supportedness of constant layer which is causing error
in DeepSpeech Uint8
* Also convert the Begin_Mask and End_Mask
Change-Id: I448b083c3463558e8fb5204923ab554cd43264ba
Signed-off-by: Francis Murtagh <francis.murtagh@arm.com>
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* Variable-length array replaced with std::vector
* "and" replaced with "&&" (OK, this one is standard but MSVC doesn't
like it and it's inconsistent with the rest of the codebase)
* Replace u_int8_t with uint8_t
Change-Id: I7b968a2cfa85a5492a2a547364464c594efb067b
Signed-off-by: Rob Hughes <robert.hughes@arm.com>
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Failing VTS tests were "NeuralnetworksHidlTest.depthwise_conv2d_*"
In depthwise convolution there was a difference in weight tensor channel
order between the reference and ACL implementations. This specifically related
to NCHW. This commit:
* Adds ReorderWeightChannelsForAcl to WorkloadUtils which will correct the weight tensor channel order.
* Add unit tests to detect this problem.
Signed-off-by: Colm Donelan <Colm.Donelan@arm.com>
Change-Id: Icaeac08e14b3d5da9e222ad2f118db55ebb15d09
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* Unified ArmNN's weight format to [ M, I, H, W ] for the depthwise convolution
* Added conversion utilities to permute/reshape the weights as appropriate
when using CL and Neon backends
* Updated the reference implementation of the convolution
* Updated the relevant unit tests accordingly
!android-nn-driver:459
Change-Id: I07d0818efa9d1ca1e5dad82983aac1fe78eadb18
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