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workloads
* Refactoring: use existing utility function for creating arm_compute::PadStrideInfo
objects in CL and NEON convolution workloads instead of duplicating code
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Id5e5a0f264e20af99dabce8dd8c6b782dedb94e6
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* Update NeonConvolution2dWorkload
* Enable unit tests
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I1709e71e4944c5cbdcc99a003479c1fce45a612a
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Change-Id: Ia68da09d8f0fb0a04af9cb61062d7edaa5f1b887
Signed-off-by: Derek Lamberti <derek.lamberti@arm.com>
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Just include the function definition that is specifically needed for each workload.
Also, tighten up the scope where Compute Library functions are available.
Knocks about 30seconds off a 4m30s single-threaded compile of the Neon workloads.
Change-Id: Idac438f3bc77ff978295fbc9505cb42447def145
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* Remove check for preferDirectConvolution
* Remove IsNeonDirectConvolutionPreferred
* Remove unused tests and functions
Change-Id: I3f0868f41403ec5fa740889e7bdcb4415ad77bda
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Change-Id: I663a0a0fccb43ee960ec070121a59df9db0bb04e
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Change-Id: Id3d8137d60b14e93863ad5b6db752a7f6ef9b7fb
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