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* Multiple intermediate tensors can share the same tile.
- A simple operator can reuse the input tensor for the result
if the input tensor has the same shape, data type and it is
only consumed by that operator.
- The special case is a simple operator and an output operator
consume the same tensor. However as the output operator
doesn't change the content of the input tensor, it doesn't
count as "consuming" the input tensor.
* These temporary tiles are declared automatically by the template
writer. Individual operator doesn't need to generate output tile
declaration.
* Cast is now simple operator.
Resolves: COMPMID-5778
Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Change-Id: I232647ac976645e2d266a62e055b9eb48c356a8e
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8877
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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* The dependency graph now can schedule any acyclic graph into
a sequential list of operators. This is needed as the output
operators now form branches in the graph.
* Fix the definition of input, output and intermediate tensors
in GpuKernelComponentGroup to support non-linear but sequential
list of operators.
* Add constraint on GpuOperatorGroup to enforce strictly linear
fusion style, but allow output operator as the only form of
branch.
Resolves: COMPMID-5771
Signed-off-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Change-Id: I68de3a31a2456145081f0a397e4e61dd66327682
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8823
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Provide support for Add operator
- Auto initialize the destination tensor before testing fusion in conv2d
and elementwise binary ops.
Resolves: COMPMID-5518
Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com>
Change-Id: Ibd815020f02b57f88eea7c2921bdcf98605d99c5
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8617
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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This patch adds Depthwise Conv2d operator into dynamic fusion interface and adds the associated tests.
Resolves: COMPMID-5517
Change-Id: I385c94dff7fd40c72b8337ef797e508df4499a82
Signed-off-by: Gunes Bayir <gunes.bayir@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8678
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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The new version introduces the following major changes:
* Change public interface to simplify and standardize the user experience
- Use the term "Workload" uniformly
- Simplify operator interface to be a set of static methods:
validate_op(), create_op()
* Separate the kernel writing into its own component (template_writer).
This is to allow the co-development of GpuKernelWriter, and to allow
easy replacement once GpuKernelWriter is mature.
* Optimize the core fusion algorithm used by the component graph. The
details can be found in GpuKernelComponentGraph::fuse()
* Use Gpu instead of Cl prefixes for most of the Workload interfaces
(except for runtime and kernel components, which have to be language specific)
This allows the potential extension to other Gpu langauges in the
future.
* Refactor runtime memory interface so that auxiliary tensor handling
is separate from the user tensor passing. This is because the former
is less stable and may require extension in the future.
* Hide source code object from the user as it is not required at the
moment
* Deprecate the old prototype entirely by disabling it in SCons build
Resolves COMPMID-5510, COMPMID-5512, COMPMID-5513
Change-Id: If69d2362856f2de4503546b7b6cf48a525cf3079
Signed-off-by: SiCong Li <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8406
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
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