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In the TLCT tests we were failing many tests because they used
constant tensors as data input for the layers. We had the functionality
in place but we didnt have it spread across the visit functions.
* Check if inputs are constant tensors and attempt to assign them
to input slot of layers.
* Add missing checks to some functions that return a kTfLiteStatus
so we can see if they fail
* Clean up CreateConstTensor function
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: I8610b770aea56932a98f91c961d59b3de47c2ab5
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* Add initialization of activation type in delegate layers with
fused activations
* Remove unused variable activationOutputInfo on layers with
fused activations
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: Ieb2ba00516a159639871c391069faf162cbb666d
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In layers that support fused activations, we check for activation
layer support after we already create the base layer. This breaks
the fallback as we already added the base layer to the graph.
* Creates ValidateFusedActivation shared function
* Moves Activation validation higher in the VisitFunction
Signed-off-by: Ryan OShea <ryan.oshea3@arm.com>
Change-Id: I239af360923f695fc374ddeaeefa24c062eaf9e8
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* TFLite Parser:
* Fixed issue in ParseReshape where the targetShape wasn't always calculated correctly
* Fixed issue in ParseFullyConnected where the wrong name was used for the ReshapeLayer
* Added an ExpandDims to the FullyConnected to ensure that we reshape the output correctly
* TFLite Delegate:
* Added an ExpandDims to the FullyConnected to ensure that we reshape the output correctly
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I129dfcb8543f8a3a297c0589c841be20ef3b6407
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* Done as part of 22.11/23.02 innovation days.
* IsLayerSupported() is called in model prepare (delegate, android-nn-driver and shim/support_library)
and again in ArmNN once model otimization is performed.
* From calling IsLayerSupported() the first time, we should know that the layers are supported
and what backend they are supported on.
* Solution is to set the BackendId of the IConnectableLayer when IsLayerSupported() is called the first time,
* In the Optimize() function we then check if the backend is set. If so, we do not call IsLayerSupported() again.
* In the case a layer that is supported gets optimized, then the BackendId of that layer get set to "Unknown"
for the new optimized layer and IsLayerSupported() will get called on the newly optimized layer.
* Includes bug fix IVGCVSW-7213 for Android Mean FP16 CpuAcc tests. Also related to bug IVGCVSW-7211.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I7a7820d0cdb079ffb5a3a2e0c44e252f652df53b
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* Fixed the issues about converting Conv2D and DepthwiseConv2d input issues
* Read 1D input tensors that do not have shape specified
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I12f3d1c57a2afedac42c6e7b31e4b1fc689abeca
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* It's possible that a model may have an input entry for bias tensors
but that the index for those is -1. If it's -1 then it's not present.
* Fixed logic error in IsOptionalOperandPresent: it returned false if
it was present and true if it was missing.
Signed-off-by: Mike Kelly <mike.kelly@arm.com>
Change-Id: I45ad8d8552122493c529b1a35a5689416ccfbb71
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* Improved error reporting on armnn_delegate
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I1bd131fb56d64b32b1fafad0465256178720226c
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* Constant weights and biases are now stored as Constant layers.
* Updated Serializer, Deserializer and unit tests to reflect this.
* Updated TfLiteDelegate, TfLiteParser and OnnxParser.
* Updated Schema with IsConstant and ConstantTensorsAsInputs.
* Updated Ref backend to handle constant weights and
bias as inputs rather than reading from member variables.
* Added dynamic or constant input EndToEnd tests.
!android-nn-driver:5959
Signed-off-by: Matthew Sloyan <matthew.sloyan@arm.com>
Change-Id: Ibf3cf437df1100e4b322b0d303c575c6339f9696
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* Removed check in TfLiteParser and Delegate that requires both weights
and biases to be constant or non-constant simultaneously
* Updated TfLiteParser FullyConnected layer test to properly use
non-constant weights
* MobileBERT Float32 model now runs on TfLiteParser
Signed-off-by: mathad01 <matthew.haddon@arm.com>
Change-Id: I1d75eea466caa90cd695ad353160362df2f69483
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TfLiteDelegate support for FullyConnected Operator'
* Added front-end support for non-const weights for FULLY_CONNECTED operator
* Added FULLY_CONNECTED end-to-end test
* Updated FULLY_CONNECTED operator support in TfLite Arm NN Delegate for non-const weights
* Updated the version numbers
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iffa5b9aa9297aca4c02d923cce4636c88ac21faa
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Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ic52b27d462f498314050576b5195f759f5f00c63
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* Correct input shape
Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I9d1fe4c8ef32a9dfba7f7fdd6af314e9a522fce8
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Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I1a8e2aa618ff693c61010e6150f3ca41b8ab1201
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* Added BackendOptions creations of armnn_delegate
* Included armnn/third-party the armnn_delegate unit tests
* Updated the CreateConstTensor function
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: I8e2099a465766b905bff701413307e5850b68e42
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* Added FullyConnected operator support to delegate
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Iae9c0980a4bfd6aa4d90f107f329dfa782baeefe
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IVGCVSW-5373 'Implement the ABS operator in the Delegate'
* Added a Switch statement into the VisitNode() function
* Separated the Visit functions into the categorized source files
* Implemented VisitElementwiseUnary() function
* Added tests for ABS and SQRT
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: If9654d0a8d8ff7dcd6fb5cbe0dc312941772affb
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