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- Pass M,N,K at runtime as kernel parameters
- Add a guard macro to compile only kernel of interest
- Move reshpaing kernels to gemm_utils.cl
- Remove the fallback reshaping kernel with Y-Padding support
Resolves: COMPMID-4888
Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com>
Change-Id: Ida3851326f0b77e410633271de9ecca106e37931
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6662
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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Resolve COMPMID-4889
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I4a88082b13865fdaeaba1b7216503cd640aa54df
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6680
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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- Pass source and destination tensor dimension info at runtime
Resolves: COMPMID-4887
Signed-off-by: Sheri Zhang <sheri.zhang@arm.com>
Change-Id: Ib7c9f3ce6fb7cef600f7b0cd0fadafa4fa6888a1
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6635
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
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- Add macro guard for different kernels in scale.cl
- Rework TENSOR4D to the new format
- Pass scale_x and scale_y at runtime
Resolves COMPMID-4886
Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Change-Id: Ib904a703d511fb8260618057ac92e5ea9efeee2b
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6619
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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post ops
* Add validate tests
* Restrict post ops support in ClGemmConv2d to only those that do not
need im2col or col2im. In practice this means we only support post ops
in conv1x1 with stride = 1, dilation = 1 and data layout = NHWC
Resolves COMPMID-4435
Change-Id: I1fdf0c5d565a4624857250075ac76db35c2f383b
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6573
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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- ClGemmMatrixMultiplyReshapedKernel
- ClGemmMatrixMultiplyNativeKernel
- ClGemmMatrixMultiplyReshapedOnlyRhsKernel
Resolves: COMPMID-4713
Change-Id: I3adcb1b3d4af37ebcbc3bee19cc1845885d08600
Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6553
Reviewed-by: SiCong Li <sicong.li@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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* Revert "Remove padding in FP Cl Gemm kernels"
This reverts commit 48717a3d38fef8d316cd4b9fd9a3bc1a43db736b.
* Allow different boundary row handling strategies across native,
reshaped and reshaped_only_rhs kernels by introducing a
ELTWISE_OPERAND_ROW parameter to the macro
Resolves COMPMID-4919
Change-Id: Icefc23c0760a6abb838fef1d0d5bda06b07c79e3
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6569
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
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ClGemmMatrixMultiplyNativeKernel Part 3
Partially resolves: COMPMID-4435
Change-Id: Ifc5affa3a24a70942ca2d001380205df09b03ad7
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6550
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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* Remove rhs and bias padding in ClGemmMatrixMultiplyNativeKernel
* Rework ClGemmMatrixMultiplyReshapedOnlyRHSKernel to use the same
padding boundary condition as the other kernels
Partially resolves COMPMID-4435
Change-Id: I1c17af9cca0b5cb3be087ce160948b7b0e62d297
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6549
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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This interface supports the fusion of multiple elementwise operations
Partially resolves: COMPMID-4435
Change-Id: If68dd7dd98dcf239fde7cb1f0a4a6d4d1e899a6f
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6483
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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Resolve COMPMID-4663
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I5c3c1cffed5385c06b789543318f7f4d6096987e
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6468
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
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Resolves COMPMID-4446
Change-Id: I1d3c2391b67681f4d3af440826aa95b47a1288a6
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6444
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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* Fixed the issue in NHWC Neon
* Fixed the rounding error in CL
* Added a new test case to reproduce the problem
* Resolves COMPMID-4831
Change-Id: I1613168cad580ca5acefe8ba340130af05cffaff
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6454
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I4d48f1b8eba6681a9de0ae5f1fd8a4ad1edf7fe8
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6439
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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Resolve COMPMID-4660
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: Ibd66ec1eb6faa60086981b1e3a9c12561df3445f
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6420
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
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Resolves COMPMID-4805
Change-Id: I0acd4479f196cf9518995a60d3b57a9a49e0db57
Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6413
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Pablo Marquez Tello <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Reviewed-by: Freddie Liardet <frederick.liardet@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
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- The out-of-boundary condition was performed also for PARTIAL_STORE_N0
= 0
Resolves: COMPMID-4774 COMPMID-4771
Change-Id: I0d7e078c67615b513ffeb66860f224999b5135fa
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6302
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
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The new kernel performs the computation on multiples elements. The
OpenCL kernel has been re-implemented using the new TILE macros
Resolves COMPMID-4803,COMPMID-4804
Change-Id: Iac8fead65e21b64567a05dbc4fbaa61d362443f9
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6235
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Resolve COMPMID-4450
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I6f280d5d66ec43fb5cb06c83fe15a1f227ad165d
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6232
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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When calling vload_partial, the macros were overriding the first values with a hidden double assignment
Resolve COMPMID-4792
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I96bca60ae546fc34a71e69d5c471581a472d8ddf
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6231
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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Create new macros for loading values from memory while being aware of
boundaries of the tensor to not generate page faults.
Resolves: COMPMID-4447
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: Ia5fd0a5dcb40942bccd5e686307d0055e1a1dd82
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6226
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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This reverts commit 50335fd3d0734157382741fcf1bfdaf630c60c4b.
Resolves COMPMID-4792
Signed-off-by: Pablo Marquez Tello <pablo.tello@arm.com>
Change-Id: Ia6580143d9cf5a7bd5c87ca4214022f7c241ec6f
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6214
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Simplify NCHW kernel structure by removing old optimized paths
- Merge quantized with fp kernels
Resolve COMPMID-4722
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I79016b119619aed6a6193295601cd6517f14b88c
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6183
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
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* Calculate border using both norm size and vec_size_x
* Expose reference tensor printer
Resolves: COMPMID-4793
Change-Id: I7bd8e49779baf7d6848271757bc7993aa1ed2960
Signed-off-by: SiCongLi <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6201
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
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Create new macros for loading values from memory while being aware of
boundaries of the tensor to not generate page faults.
Resolves: COMPMID-4447
Change-Id: If9a455291e395ebd9070ebe5e120b3064d8fab29
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6168
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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- Merge quantized kernels with fp for bilinear interpolation (both NCHW and NHWC)
- Pass dimensions at compile time rather than at run time
- Use tile-based approach to rework the NCHW kernels
- Remove unused functions/files
Resolve COMPMID-4723
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: Ifcdf02beb9daa9f318395751b3c85eb2fe874082
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6138
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
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The Following kernels have been split into nchw/nhwc kernels files:
- batchnormalization_layer
- batch_to_space
- channel_shuffle
- depth_to_space
- dequantization_layer
- im2col
- normalization_layer
- normalize_planar_yuv_layer
- normalize_planar_yuv_layer_quantized
- pooling_layer
- pooling_layer_quantized
- remap
- reorg_layer
- scale
- scale_quantized
- space_to_batch
- space_to_depth
- upsample_layer
- winograd_filter_transform
- winograd_input_transform
- winograd_output_transform
The following kernels have been moved to nchw folder:
- direct_convolution1x1
- direct_convolution3x3
- direct_convolution5x5
- direct_convolution_quantized
- prior_box_layer
The following kernels have been moved to nhwc folder:
- direct_convolution
- dwc_native_fp_nhwc
- dwc_native_quantized_nhwc
The following kernels have been removed:
- sobel_filter
While the rest kerenls have been moved to the common folder.
Partially resolves COMPMID-4453
Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919
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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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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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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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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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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- 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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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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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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- 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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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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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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Add NHWC support to CLRemap, also add relevant tests.
Partially resolves COMPMID-4335.
Change-Id: I119bea99be497fb85d5cd83a10f8d4e8e1f97f17
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5773
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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* Resolves COMPMID-4544
This reverts commit 50929ef951880469b9d579323d2f9c9f5025327d.
Signed-off-by: Pablo Tello <pablo.tello@arm.com>
Change-Id: Ibc40054cecc2fe99bff48154f11fe5b602b4a64a
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/c/VisualCompute/ComputeLibrary/+/330380
Tested-by: bsgcomp <bsgcomp@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: bsgcomp <bsgcomp@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5774
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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Fix issue where gpu elementwise operation kernel would not compile when
input is 1xN size and prelu is the chosen operator.
Add relevant tests for 1xN input.
Signed-off-by: Freddie Liardet <frederick.liardet@arm.com>
Change-Id: If0651cfa399ca1d9c65f2632b75536c7931f27d4
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5760
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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Resolves: COMPMID-4430
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I9a40033e09223d601460a7e52cc297c58c9a2737
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5757
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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Change-Id: Id98a107d512369d3799961011a84e9cc4d99e775
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5679
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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Create right vector for size of 16 elements
Resolves: COMPMID-4532
Change-Id: I74dc89d158a6aa3f50db710cbc002a92156e2263
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5673
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Renames DepthConvert to Cast
- Ports both NEDepthConverLayer and CLDepthConvert variants
- Removes legacy shift capability from DepthConvert, allowing only
shifts of 0
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I806a0f8eb23d23502b632c529fda7edde19c8176
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5565
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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Change-Id: I092d10534816f5b3717325952033c351b8231380
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5643
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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- Bring the epsilon up to 1e-3 for FP16 (both backends) since it was causing the reference's variance being negative and its square root being NaN
- Bring the epsilon up to 1e-7 for FP16 NEON test for the same problem on the NEON kernel
- Adjust the CL kernel's vec_size when input tensor's width < 16 and use macros agnostic of vector size for sum reduction
- Add previously mismatching tensor shapes
Resolve COMPMID-4354
Change-Id: I823c871aacb72326f90c86b24cb16c3e2d4bd15e
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5630
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
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Only for NHWC
Instead of starting from the input vector and insert the values in the output,
we now create an output vector by taking from the input tensor. This makes it
easier to store the result in the output with border awareness
Resolves: COMPMID-4445
Change-Id: I77cf2d2d5ff30a383cddb8a3c81c462d7a39fd2e
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5627
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
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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- Change vectors' fixed length of 4 in gemmlowp_output_stage_quantize_down_float with its kernel's adjusted vec_size
Resolve COMPMID-4355
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I371ecf114356fb6a8d18c5c3727f09ae247484bd
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5631
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>
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