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path: root/tests/validation/CL/DepthwiseConvolutionLayerNative.cpp
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2023-10-10Optimize CL and Neon depthwise convolution testsGunes Bayir
Resolves: COMPMID-6465 Change-Id: I5bbf4596dd5e34e806dc51de9be14df9b6fa320a Signed-off-by: Gunes Bayir <gunes.bayir@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10452 Benchmark: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2022-09-07Optimize depthwise convolution on OpenCLGian Marco Iodice
The optimization concerns the case where the depth multiplier is > 1. The depth multiplier for loop has been removed from the OpenCL kernel and the GWS has been mapped to the output shape. In this way, we can still perform a tile with N0 columns and improve the performance of depthwise conv over 80% when depth multiplier is > 1. Resolves COMPMID-5568 Change-Id: I604e287d4eeb31c54b9cc6c3072a698cd0e3e136 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8184 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gunes Bayir <gunes.bayir@arm.com> Benchmark: Arm Jenkins <bsgcomp@arm.com>
2021-07-02Rework OpenCL Depthwise ConvolutionGian Marco Iodice
- 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>
2021-06-30Revert "Rework OpenCL Depthwise Convolution"Gian Marco Iodice
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>
2021-06-24Rework OpenCL Depthwise ConvolutionGian Marco Iodice
- 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>
2021-04-07Review all shapes in datasets to account for padding removal Part 2SiCong Li
* Fix validate compare_dimensions to account for cases where 1D tensor permuted into a 3D tensor * Add the following configurations to stress padding removal: * size = 1 * size = multiple of processing size * size = non-multiple of processing size Partially resolves COMPMID-3865 Change-Id: Iee0de4c9e72b3413c0807e2c86bc2331911a4c6f Signed-off-by: SiCong Li <sicong.li@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4393 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2021-03-02Set up configure-only flag for validation. First trial with DepthwiseConvoltionGiorgio Arena
This is needed in order to validate OpenCL kernel run-time compilation, without necessarily running or validating the kernels' execution - Add a run-time option for our validation suite to only configure one target function, without allocating, running or validating - Avoid to map/unmap tensors in CLAccessor if no allocation/validation is required - Create a new Fixture macro that accepts fixtures split into configure/allocate_and_run/reference, and do the last two only if required - Adjust fixture and validation files for the first trial function(s) (DepthwiseConvolutionLayer) Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Change-Id: I56fa1ce5ef4ac0c86bcabda686cc277ef5ec69c8 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5048 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Manuel Bottini <manuel.bottini@arm.com> Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
2020-12-10[Review Shape] CLDepthwiseConvolutionLayer mismatchesGiorgio Arena
- Fixed a bug that corrected the number of dimensions of a TensorShape for added trailing 1s - Avoided adding offset_first_element for the Depthwise 3x3 NCHW OpenCL kernels, since it wouldn't align with the window which is based on the output - Adjusted padding requirements along the x for Depthwise 3x3 NCHW. The kernel should always add 2 * dilation_(x/y) to the num_elems_read_x/y - Adjusted the kernel's border_size given to the border handler at function level - Added the dataset that previously made the tests fail Resolves: COMPMID-4041 Change-Id: Ifab7d38b263f12173fcc96a5f0bd3375756c3c53 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4673 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2020-11-07COMPMID-3639: (3RDPARTY_UPDATE) Move CL kernels to srcSang-Hoon Park
Change-Id: I10d27db788e5086adae1841e3e2441cd9b76ef84 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4310 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2020-07-09COMPMID-3324: Adjusting capitalization of Arm copyright claim to reflect Arm ↵Michele Di Giorgio
preferred presentation Change-Id: Ib7dcfcbb24b408999dfae366b9da396485aacf78 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3525 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
2020-02-26COMPMID-3222: Mismatches for Depthwise ConvolutionMichele Di Giorgio
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Change-Id: Ie073d5fa6612381958c4bcb2405e607d5f4d6081 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2782 Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
2019-12-30COMPMID-2997 Nighliy Tests Fails [645] - ↵Giorgio Arena
CL/DepthwiseConvolutionLayerNative/Float/FP16 Change-Id: I73c0a31639ae3c5b37ca5895dcf2e8895d4b2719 Signed-off-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-on: https://review.mlplatform.org/c/2523 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
2019-09-12COMPMID-2599: Implement a new and generic depthwise convolution on OpenCL ↵Gian Marco Iodice
(Fp32/FP16-NHWC) Part 1 Change-Id: I5e1d27a7006199e9229e455a1df9bfc2ed4e8341 Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-on: https://review.mlplatform.org/c/1898 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
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