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When neither OpenCL nor accelerated CPU backends are built then unused
variable warnings are signalled.
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I548a440849178c8430f74ab4f75736d081a50903
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5604
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Queues are responsible for scheduling operators and performing other
runtime related activities like for example tuning.
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I0366d9048470d277b8cbf59fa42f95c0ae57c5c9
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5487
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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A couple of utility functions to get the information
about tensors are added. Those functions are placed
at an additional header file for better grouping.
Related test cases are also added.
Resolves: COMPMID-4376
Change-Id: I6bd09cbf60fddcf4fe651906982397afb0451392
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5405
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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As underlying enum type can be an int we check also the lower bound of
the data type when creating a tensor to avoid creation with negative
values.
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I00fa3cae988c5f20a56115b1c1b85b70e699c966
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5413
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Adds the following:
- TensorDescriptor: which is responsible for holding the information
needed to represent a tensor (e.g. shape, dimensions, etc)
- Tensor: an aggreate object of a descriptor and a backing memory
- TensorPack: A map of tensor that can be passed to operators as
inputs/outputs
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I02734ac6ad85700d91d6e73217b4637adbf5d177
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5260
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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An AclContext is introduced as part of the new interface.
This object is responsible for any constructural services that the
operators and other objects might need.
Main options that can be passed to a context object are:
- a target: for which all the subsequent object should bind with
- capabilities: which are the isa/target features to enable
- a mode: for which different strategies can be selected in the backend
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I315549e55d4d064cbe94dfa29d070dc281b447de
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5088
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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