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Fix warning found by oclgrind. Also remove duplicated code.
Resolves COMPMID-4675
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Change-Id: I6ad56cc0130b5df936f1e070db116695269317df
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5974
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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- Introduce Fp32 kernels with internal calculations in Bfloat16 when
fast_mode is enabled
- Improve kernel selection heuristics
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I68a9e7e862b6fd2721b46e0d7cc791091c4ab279
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5965
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Add layer data information to SchedulerTimer JSON output.
Resolves: COMPMID-4423
Change-Id: Ife78dee8afc0910cf47b135bc6809cc170ec4ed3
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5923
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Resolves: COMPMID-4654
Change-Id: Idec018f9b2fb267293fc3f54d51e8ccf895df77e
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5961
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Georgios Pinitas <georgios.pinitas@arm.com>
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ClWinogradConv2d was performing Rhs transformation on every step
impacting the performance.
Adds scope logging support through ARM_COMPUTE_LOG_MSG_WITH_FUNCNAME
Resolves: COMPMID-4596
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ib329d3bc8d8aa21abae9fabfe61de35cc84d4819
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5925
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Resolves: COMPMID-4516
Change-Id: I6a6db66797fa801dfe1238fceca413277241d2ec
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5946
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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* We prefer GEMM method for kernel size > 15 when data layout is NCHW because
direct convolution does not support this.
* Resolves COMPMID-4581
Change-Id: Ie18cc96bc6b446fd59e8c8ebb10c3af5ca02c3bb
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5935
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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Details:
port NEWeightsReshapeKernel to CpuWeightsReshapeKernel
port NEGEMMConvolutionLayer to CpuGEMMConvolutionLayer
Resolves: COMPMID-4509
Change-Id: I3c7051e2c3f6d808a7ccb898aad70e5b221b9dc3
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5938
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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Resolves: COMPMID-4653
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I4f69d42369bf8ab91cd027acf1c97e92ec1ef554
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5948
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Resolves: COMPMID-4517
Change-Id: I50cb02116a1ab86fc29200371944c4774e830746
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5949
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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A typo was causing errors when building some CL kernels.
Resolves: COMPMID-4637
Change-Id: I7d1821e1a046ef8ccd306f72afe192732dd2ad1e
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5944
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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- Add in-place calculation support in ClArithmeticKernel, ClSaturatedArithmeticKernel and ClMulKernel
- Add in-place test cases
Resolves: COMPMID-4431
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: Id484bdb76b74478a33fedb471ae0c7f799c599f6
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5885
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Rename to CpuWinogradConv2d
Allow memory to be injected externally
Change-Id: I1f0a26ea533e326a7c63df86e708895c31752a39
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5926
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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To reduce the risk of having a long OpenCL kernel, we limit the loop
unrolling on the kernel height. In particular, we unroll only if the
kernel height is less than or equal to 5
Resolves COMPMID-4604
Change-Id: Iece787989f36afb90f1c7676b53d9015e652bdbd
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5916
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Resolves: COMPMID-4511
Change-Id: Id6335cb23ef22bba02083498025da0ecb1647714
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5898
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Allows only implementations where inputs/output are of the same data
type and removes legacy Computer Vision ones.
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ia2b3d23a04236aab682f0c36a1110a30f7c06d1c
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5900
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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Consider selection of the Direct Conv2d approach on GPU for floating
point inputs when kernel size is greater or equal to 7x7.
Resolves: COMPMID-4595
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: If851b2e5241dab51127bf9051aa79d210d3f4421
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5894
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Create LayerData type to store information about inputs/outputs of
nodes, also adds convolution specific information.
Resolves: COMPMID-4422
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Change-Id: I1c3be1abe2fb5ed085108ab3d34b14a1b8561d38
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5876
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Details:
Extend NEConvertQuantizedSignednessKernel
Port NEGEMMInterleave4x4Kernel to CpuGemmInterleave4x4Kernel
Port NEGEMMTranspose1xWKernel to CpuGemmTranspose1xWKernel
Port NEGEMMLowpMatrixAReductionKernel to CpuGemmLowpMatrixAReductionKernel
Port NEGEMMLowpMatrixBReductionKernel to CpuGemmLowpMatrixBReductionKernel
Port NEGEMMLowpOffsetContributionOutputStageKernel to CpuGemmLowpOffsetContributionOutputStageKernel
Port NEGEMMLowpOffsetContributionKernel to CpuGemmLowpOffsetContributionKernel
Resolves: COMPMID-4403
Change-Id: I3227f052f25e7b41d073bbea1da8a881fcd78b8e
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5875
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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- C facing interfaces
- Activation layer descriptor
Partially Resolves: COMPMID-4512
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I8530748fff178ca46d61bf2e40d3e543e93f340b
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5908
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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Check for Fp16 and Bfloat16 support was done using compile time
information. Switch to use runtime information through CPUInfo
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ia3fa20c2b9b93be889667deb2e9366eb7cbe4aea
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5915
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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The issue is caused by the number of iterations passed to
LOOP_UNROLLING. When we use the manual LOOP_UNROLLING, the number of
iterations must be less than or equal to 128.
To overcome this problem, we create a utility function to check if
any of the critical iterations (kernel dimensions) are beyond that
limit. If so, the utility function, disable the manual loop unrolling.
Resolves COMPMID-4609
Change-Id: I7221c967609e462a5abd1cbb74e2a120f344fcb3
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5913
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Resolves: COMPMID-4510
Change-Id: Ia3e588f599449d975dabad4afafb2974dd44d0ad
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5899
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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Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I94f2b9135a7de78888418f0af33e3e5f78e2a1fa
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5901
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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- Remove dedicated kernels for NCHW. Now we only use NHWC with permute
- Remove specialized kernels for 3x3 NHWC
- Simplify CLDepthwiseConvolutionLayer.cpp to call just the native
implementation for both floating-point and quantized data types
- Develop two parametric opencl kernels for depthwise convolution layer NHWC
(floating-point and quantized)
- Add support to export the weights to cl_image
- Extend test for depthwise convolution on opencl
Resolves COMPMID-4417
Change-Id: Ibe533f79c2860f9cac8e921895d5a8f947753a5c
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5893
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Redirect validate documentation to configure
- Align header names
- Align class layout
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ia40f67383826a66e9f9a33745d66805551e31a3a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5897
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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- Complete porting of NEGEMM to the new API
Resolves: COMPMID-4402
Change-Id: I14904102b25332dbb4fc048d45dca068a15b6eca
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5890
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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* Implement in-place graph node mutator for 1x1 depthwise convolution
* Add in-place to validation fixture except for
DepthwiseConvolutionLayerNativeValidationFixture as it would be a
duplicate test otherwise (DepthwiseConvolutionLayerNative test tests
the underlying kernel)
Resolves: COMPMID-4432
Change-Id: Id7f10f5ebdce7d49f550c0b62dbaaab7f5b59d29
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5874
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
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Add `T_QUANTIZE8_PER_TENSOR` and `T_QUANTIZE8_PER_CHANNEL` that can be
used to perform quantization on tile constructs.
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Ie8e1efcb895c64715620acf2212b1de9a857ee0a
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5891
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Change-Id: I7f3790d8ca592ec46ff2e2de810cf402191a990e
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5881
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Resolve COMPMID-4602
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I4727586711a0dbdc859b043cfd55d0335f1c8eb0
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5888
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I96630b45887eaba16ef358b95f3d9ac0b9045157
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5882
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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This reverts commit 561c176598cd14245e2e7918fdf136d1c888d1da.
Reason for revert: <validation>
Change-Id: I6f2d61c27520439bb538e9265736532104b24cf8
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5127
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Ported kernels:
- CLGEMMLowpMatrixMultiplyNativeKernel
- CLGEMMLowpMatrixMultiplyReshapedKernel
- CLGEMMLowpMatrixMultiplyReshapedOnlyRHSKernel
- CLGEMMLowpOffsetContributionKernel
- CLGEMMLowpOffsetContributionOutputStageKernel
- CLGEMMLowpQuantizeDownInt32ScaleByFixedPointKernel
- CLGEMMLowpQuantizeDownInt32ScaleByFloatKernel
- CLGEMMLowpQuantizeDownInt32ScaleKernel
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I9d5a744d6a2dd2f2726fdfb291bad000b6970de2
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5870
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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- Port NEGEMMMatrixMultiplyKernel to the new API
Partially resolves: COMPMID-4402
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Change-Id: I52b67055dc24bb3a417d6ec5aeeee86e21b74320
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5873
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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- Add loop unrolling on X and use POOL_X and POOL_Y defines for the for
loop
Resolves COMPMID-4573
Change-Id: I33cb825cfb55912ccb0ab9d03bd33a3dab4c8b44
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5872
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Start porting NEGEMM to the new API
- Port NEGEMMInterleave4x4Kernel to the new API
- Port NEGEMMMatrixAdditionKernel to the new API
- Port NEGEMMTranspose1xWKernel to the new API
- Remove padding from NEGEMMMatrixAdditionKernel
- Remove unused INESimpleKernel and ICPPSimpleKernel
Partially resolves: COMPMID-4402
Change-Id: I63edadddfe00a54586e5384d6a0211db25ae9042
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5857
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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CPU micro-kernel to be used was picked during kernel execution.
Move selection during configuration to reduce runtime overhead.
Standardize kernel names as follows:
<simd_tech>_<data_type>_<data_layout>_<kernel_name>
e.g. sve_fp32_nhwc_scale
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I544f1c08c8fef0f130a3bde61882ccb9a1f47f21
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5855
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Resolve COMPMID-4486
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: Ib38b7943bd776a6d75d1da163908724c49eae73d
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5864
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Refactors the CpuInfo extraction code and cleans the usage of it in the
CpuContext class
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: Iea47dfdaad431fb49285da92778d6b42cf318f60
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5848
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
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* Fixed a problem which made the library choose the Valhall path instead of Bifrost
* Set block sizes to 4 for u8 on G31
* Resolves MLCE-463
Change-Id: I577f57ec96f740db15d6640e34172318a82c5778
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5858
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Georgios Pinitas <georgios.pinitas@arm.com>
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Resolves: COMPMID-4506, COMPMID-4570
Change-Id: I6d37a06da141f1fcfcaa8525322a319cb0234791
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5824
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I82a298e059a92d82095186d120e4934a8eeb4e3e
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5854
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Resolve COMPMID-4416
Change-Id: I83cdf0de7adaf4d465ffebd494ab913182072485
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5788
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Remove dedicated kernels for NCHW. Now we only use NHWC with permute
- Remove specialized kernels for 3x3 NHWC
- Simplify CLDepthwiseConvolutionLayer.cpp to call just the native
implementation for both floating-point and quantized data types
- Develop two parametric opencl kernels for depthwise convolution layer NHWC
(floating-point and quantized)
- Add support to export the weights to cl_image
- Extend test for depthwise convolution on opencl
Resolves COMPMID-4417
Change-Id: I253dd5d959a70783c82e62b1771a5e9f91621cb0
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5806
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
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A smaller core library is created using a subset of the operators.
Changed the structure of filelist.json in order to include more
information about the kernels and make the selection easier.
Resolves: COMPMID-4514
Change-Id: I079ca7d8e64346174eebdd13b834e1dd4dc36ca2
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5786
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Add in-place computation for elementwise operations at graph level
- Modify support case to test in-place computation for elementwise operations
Resolves: COMPMID-4414
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: I5a4de1235dd29a31160e770a16d62f4b98c84ae6
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5803
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: SiCong Li <sicong.li@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Details:
Port NEGEMMLowpQuantizeDownInt32ScaleKernel to CpuGemmLowpQuantizeDownInt32ScaleKernel
Port NEGEMMLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel to CpuGemmLowpQuantizeDownInt32ToInt16ScaleByFixedPointKernel
Port NEGEMMLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel to CpuGemmLowpQuantizeDownInt32ToInt8ScaleByFixedPointKernel
Port NEGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel to CpuGemmLowpQuantizeDownInt32ToUint8ScaleByFixedPointKernel
Port NEGEMMLowpOutputStage functions to CpuGemmLowpOutputStage operators
Partially Resolves: COMPMID-4403
Change-Id: I6d5f45e43f35d731d564ed3b5c0e804d2a318fb1
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5833
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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- Dispath CLWinogradConvolutionLayer only for IFM >= 16
Resolves COMPMID-4591
Change-Id: Id314cd0003a0d938c48b49a1936ff7c6b7f8391f
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5841
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Add FP16 support to CLRemap when data layout is NHWC.
Add relevant tests for FP16 and validation.
Update NERemap function level to be consistent with CLRemap.
Add depreciation notice for uint_8 only function level methods.
Resolves: COMPMID-4335
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Change-Id: If05f06801aef7a169b73ff1ebe760a42f11ca05c
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5816
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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