# DNNL-537
--reset
--dt=f32
--dir=FWD_D mb2ic16ih7oc16oh7kh5ph2
--dir=FWD_D mb2ic16ih29oc16oh29kh5ph2

# DNNL-611
--reset --dt=f32
--dir=FWD_D mb1ic64ih150iw200oc256oh150ow200kh1kw1ph0pw0sh1sw1n"rfcn-resnet50-res2a_branch1"
--dir=FWD_B --attr-post-ops=relu mb1ic64ih150iw200oc256oh150ow200kh1kw1ph0pw0sh1sw1n"rfcn-resnet50-res2a_branch1"
--dir=BWD_W --attr-post-ops=     mb1ic256ih150iw200oc64oh150ow200kh1kw1ph0pw0sh1sw1n"rfcn-resnet50-res2a_branch1"

# DS2 (stride_h != stride_w)
--reset --dt=f32 --skip-impl=ref,x64:gemm
--dir=FWD_B  mb2_ic32oc32_ih41oh16kh10sh2ph0_iw79ow75kw5sw1pw0n"ds2" mb2_ic32oc32_iw79ow75kw5sw1pw0_ih41oh16kh10sh2ph0n"ds2-swap"
--dir=BWD_D  mb2_ic32oc32_ih41oh16kh10sh2ph0_iw79ow75kw5sw1pw0n"ds2" mb2_ic32oc32_iw79ow75kw5sw1pw0_ih41oh16kh10sh2ph0n"ds2-swap"
--dir=BWD_WB mb2_ic32oc32_ih41oh16kh10sh2ph0_iw79ow75kw5sw1pw0n"ds2" mb2_ic32oc32_iw79ow75kw5sw1pw0_ih41oh16kh10sh2ph0n"ds2-swap"

# github #174
--reset --dt=f32
--skip-impl=ref # initial bug was for gemm-based convolution
--dir=FWD_B,FWD_D --attr-post-ops=sum,sum+relu mb1_ic4oc4_ih13oh13kh3ph1_n"gemm_acc"
--skip-impl=ref,x64:gemm # reset does not affect skip-impl

# DNNL-623
--reset --dt=u8:s8:u8 --dir=FWD_D --skip-impl=ref,x64:gemm mb2ic672ih29iw29oc192kh1kw1sh1sw1ph0pw0n"DENSENET_161:conv3_11/x1"
--reset --dt=s8:s8:u8 --dir=FWD_D --skip-impl=ref,x64:gemm mb2ic672ih29iw29oc192kh1kw1sh1sw1ph0pw0n"DENSENET_161:conv3_11/x1"
--reset --dt=f32 --skip-impl=ref,x64:gemm mb2ic672ih29iw29oc192kh1kw1sh1sw1ph0pw0n"DENSENET_161:conv3_11/x1"
--reset --dt=f32 --dir=BWD_D --skip-impl=ref,x64:gemm mb2ic672ih29iw29oc192kh1kw1sh1sw1ph0pw0n"DENSENET_161:conv3_11/x1"
--reset --dt=f32 --dir=BWD_WB --skip-impl=ref,x64:gemm mb2ic672ih29iw29oc192kh1kw1sh1sw1ph0pw0n"DENSENET_161:conv3_11/x1"

# DNNL-671
--reset --dir=BWD_D ic2ih1iw9oc3oh1ow4kh1kw3sh1sw2

# DNNL-796: large asymmetric padding
--reset --dt=f32 mb2_g1ic32oc32_ih7oh11kh3ph2
--reset --dt=u8:s8:u8 mb2_g1ic32oc32_ih7oh11kh3ph2
--reset --dt=s8:s8:u8 mb2_g1ic32oc32_ih7oh11kh3ph2

# DNNL-860
--reset --dir=BWD_WB --dt=f32 --alg=wino  mb2ic16ih13oc16oh13kh3ph1

# DNNL-854
--reset --dir=BWD_W mb2_ic32oc16_ih13oh13kh1

# DNNL-930
--reset mb2ic3ih300oc32oh150kh3sh2
--reset --dt=u8:s8:u8 mb2ic3ih84oc16oh42kh3sh2
--reset --dt=s8:s8:u8 mb2ic3ih84oc16oh42kh3sh2

# DNNL-949
--reset --dir=BWD_D mb2_g1ic1oc2_ih3oh1kh2sh1dh1ph0_iw5ow3kw2sw1dw1pw0

# special case for kernels having FPE bug
--reset --dt=f32 mb1_g1ic16oc16_ih7oh7kh3ph1

# DNNL-982: FPE for large right-hand-side padding
--reset --dir=FWD_D mb2_g1ic1oc2_ih3oh10kh2sh1dh1ph4_iw5ow12kw2sw1dw1pw2
--reset --dir=FWD_D mb2_g1ic8oc8_ih1oh16kh2ph1

# DNNL-1074: FPE for mb1 with ih < sh or iw < sw
--reset --dir=FWD_D mb1_g1ic128oc256_ih1oh1kh3sh2dh0ph1_iw1ow1kw3sw2dw0pw1

#DNNL-1184 grouped convolutions with small input-channel and
# non-blocked src format
--reset --dir=FWD_D
#AVX2
mb1_g2ic4oc16_ih8oh6kh3sh1dh0ph0_iw8ow6kw3sw1dw0pw0

--reset --mb=2 --dir=BWD_W --dt=f32
g1_ic16ih4iw8_oc16oh3ow8_kh1kw1sh2sw1ph0pw0
g1_ic16ih4iw8_oc16oh3ow8_kh2kw1sh2sw1ph0pw0
g1_ic16ih4iw8_oc16oh4ow8_kh2kw1sh2sw1ph0pw0
g1_oc16oh56ow56_ic16ih28iw28_kh1kw1sh2sw2ph0pw0

#AVX512
mb1_g2ic16oc32_ih8oh8kh3sh1dh0ph1_iw8ow8kw3sw1dw0pw1
mb1_g2ic8oc32_ih8oh8kh3sh1dh0ph1_iw8ow8kw3sw1dw0pw1
mb1_g2ic4oc32_ih8oh8kh3sh1dh0ph1_iw8ow8kw3sw1dw0pw1
mb1_g2ic22oc32_ih8oh6kh3sh1dh0ph0_iw8ow6kw3sw1dw0pw0

#MFDNN-1707
--reset --mb=1 --dir=FWD_D --dt=f32
mb1_g2ic6oc16_ih5oh5kh1sh1dh0ph0_iw5ow5kw1sw1dw0pw0

# Code too big error
--reset --mb=1 --dir=FWD_D,BWD_D --dt=f32
mb1_ic16oc16_iw80ow80kw31sw1dw0pw15

# github #542
# r_overflow1 corner case
--reset --dir=bwd_d mb1_ic9oc3_ih32oh10kh5sh3dh0ph1

# MFDNN-1968 1x1 conv asymmetrical strides with stride_h=1
--reset --dir=BWD_D mb1ic2ih10iw8oc4oh10ow4kh1kw1sh1sw2ph0pw0dh0dw0

# MFDNN-1995 1x1 2d & 3d conv with negative padding
--reset
--dir=BWD_D
--dt=f32
mb1_g1_ic16oc16_kd1kh1kw1_id1ih2iw1_od1oh1ow1_sd1sh3sw1_pd0ph0pw0_dd0dh0dw0n"neg-padding(-1)"
mb1_g1_ic16oc16_kd1kh1kw1_id2ih2iw1_od1oh1ow1_sd3sh3sw1_pd0ph0pw0_dd0dh0dw0n"neg-padding(-1)"

# Negative padding creates negative remainder in calculation of overflow_kh_hi
--dir=BWD_D mb1_g1_ic16oc16_kd1kh2kw1_id1ih3iw1_od1oh1ow1_sd1sh3sw1_pd0ph0pw0_dd0dh0dw0n"2D_Neg-Padding"
--dir=BWD_D mb1_g1_ic16oc16_kd2kh1kw1_id3ih1iw1_od1oh1ow1_sd3sh1sw1_pd0ph0pw0_dd0dh0dw0n"3D_Neg-Padding"

# Depthwise with large right padding
--reset --dir=BWD_D
mb1_g3ic3oc3_ih10oh9kh2sh2dh0ph4
mb1_g16ic16oc16_ih5oh2kh2sh5ph0
mb1_g16ic16oc16_ih5oh2kh2sh3ph0

# MFDNN-2023 3d corner case (small spatial)
--dir=BWD_W --dt=f32 g1ic1id2ih1iw1oc1od2oh1ow1kd3kh1kw1pd2ph0pw0n

# MFDNN-2027 2d corner case (large kernel and top padding, negative bottom padding + stride)
--dir=BWD_W --dt=f32 g1ic16ih7iw1oc16oh1ow1kh11kw1sh2sw1ph5pw0n

# 1x1 Conv with spatial padding
--reset --dir=FWD_B
--dt=f32 g1ic64ih31iw1oc64oh32ow1kh1kw1ph0pw0
--dt=bf16:bf16:f32,u8:s8:u8 g1ic64ih31iw1oc64oh32ow1kh1kw1ph0pw0

# 3d problem dispatching
--dir=FWD_D,BWD_D,BWD_W
--dt=f32,bf16 g1ic16id1ih7iw8oc16od1oh7ow8kd3kh3kw3sd2sh1sw1pd1ph1pw1

# AVX JIT incorrectly calculates output when nb_oc_block results in a prime number
--reset --dir=FWD_I mb1ic3ih320oc51oh160kh7sh2ph3n"regression_oc-channel"

# Dilated convolution with ih<=dh when there is _no_ compute work.
--reset --dt=u8:s8:u8 mb1ic16ih1iw1oc16oh2ow1kh3kw1dh1ph1n"regression_dh_equals_ih"

# Dilated BWD_W corner case with dilated kernel size less than padding
--reset --dt=f32,bf16 --dir=BWD_W
mb1_ic1oc16_iw1_ow29_kw14_pw28_dw1_n"dilated_kernel_size_lt_padding"

# Depthwise s8s8 tests to detect padding issues
--reset --dt=s8:s8:s32
mb1_g960ic960oc960_ih7oh7kh5ph2_iw7ow7kw5pw2n"s8s8_padding:dw1"
mb1_g16ic16oc16_ih1oh1kh1ph0_iw1ow1kw3pw1n"s8s8_padding:dw2"
mb1_g16ic16oc16_ih1oh1kh1ph0_iw1ow1kw2pw1n"s8s8_padding:dw3"
mb1_g16ic16oc16_ih1oh1kh1ph0_iw3ow3kw2pw1n"s8s8_padding:dw4"
mb1_g16ic16oc16_ih1oh1kh2ph0_iw1ow1kw3pw1n"s8s8_padding:dw5"

# Depthwise s8s8 tail processing
--reset --dt=s8:s8:s32
mb1_g184ic184oc184_ih3oh3kh3sh1dh0ph1_iw3ow3kw3sw1dw0pw1

# Read past end-of-buffer in int8 jit
--reset
--dt=s8:s8:s8
mb1_ic1oc16_ih123kh3oh121n"jit_reads_past_end_of_src_buffer:1"
mb1_ic1oc16_ih124kh3oh122n"jit_reads_past_end_of_src_buffer:2"
--dt=u8:s8:u8
mb1_ic1oc16_ih16kh3oh16ph1n"jit_reads_past_end_of_src_buffer:3"
mb1_ic2oc16_ih16kh3oh16ph1n"jit_reads_past_end_of_src_buffer:4"
mb1_ic1oc16_ih10oh10kh3ph1n"jit_reads_past_end_of_src_buffer:5"

# Test Input-channel blocking w/stride heuristic
--reset --dir=BWD_D
ic32oc1_id5ih1iw1_od2oh1ow1_kd3kh1kw1_sd2sh1sw1n"ic-blocking_stride-d_test"
ic32oc1_ih5iw1_oh2ow1_kh3kw1_sh2sw1n"ic-blocking_stride-h_test"

# Test-case to ensure pre-condition for dispatching optimized channel blocking
--reset --dir=BWD_D
ic16ih7oc16oh5kh3ph0n"small_spatial_optimization"
ic48ih7oc48oh5kh3ph0n"small_spatial_optimization"

# False positives due to long accumulation chains
--reset
mb1_ic16oc16_id100od1kd100
--dir=BWD_W mb28_ic16oc16_id10od10kd3

# Int 3D Depthwise dispatch check
--reset --skip-impl=ref,x64:gemm --dt=u8:s8:u8
g16mb1ic16id3ih3iw3oc16od3oh3ow3kd3kh3kw3sd1sh1sw1pd1ph1pw1n"check_int8_3d_depthwise_dispatch"

# Incorrect input offset for dilated height executing 3D JIT-Kernel
--reset --skip-impl=ref,x64:gemm --dt=u8:s8:s32
mb1_ic16oc16_id2ih10iw1_kd2kh3kw1_dd0dh2dw0n"3d_dilated_check"

# Test correctness of 1x1 strided convolution with different layouts src and dst
--reset --stag=abx,axb --dir=FWD_B,BWD_D,BWD_WB
ic256ih56oc512oh28kh1sh2ph0n"strided_1x1_with_mixed_data_layouts"

# Depthwise uni-jit kernel is only supported for 2D convolutions.
--reset --stag=abx --dtag=abx --wtag=goiw mb1_g16ic16oc16_iw4ow4kw2sw1

# Test fix for Seg-fault in bwd_w with padding + dilation
--reset --dir=BWD_W --skip-impl=ref,x64:gemm
mb1ic16ih2iw30oc1oh1ow30kh2kw3ph0pw17dh0dw16n"bwd-w_check_dilation_padding_1"
mb1ic16ih2iw84oc1oh1ow84kh2kw3ph0pw29dh0dw28n"bwd-w_check_dilation_padding_2"
mb1ic16ih2iw70oc1oh1ow10kh2kw3ph0pw0dh0dw29n"bwd_w_check_large-dilation"

# dw fusion with strides, skip 1x1s that doesnt support strides.
--reset
--skip-impl=ref_fused_convolution
--dt=f32,u8:s8:u8
--attr-post-ops=relu+dw:k3s1p1+sqrt
ic256oc256_ih60oh20kh1ph0sh3_iw50ow25kw1pw0sw2n"dw_fusion_with_strides"

--dt=bf16
ic256oc256_ih60oh20kh1ph0sh3_iw50ow25kw1pw0sw2n"dw_fusion_with_strides"

# dw fusion with reorder
--reset
--dt=f32
--attr-post-ops=relu+dw:k3s1p1+sqrt
ic16oc16_ih10oh6kh1ph0sh2n"dw_fusion_with_reorder"

--reset
--skip-impl=ref,x64:gemm
--dt=bf16 --dir=bwd_w
# shape that verifies proper selection of ic_block_step for large filter sizes
mb2ic16oc1_ih2iw100_kh2kw13_dh0dw3_ph0pw12n"check_large-filter_ic-step"
# shape that verifies checks for supported padding sizes in width dimension
mb1_ic16oc1_ih2oh1kh2sh1dh0ph0_iw1000kw6sw1dw30pw128n"1d_conv_large_dilated_padding_1"
mb1_ic16oc1_ih2oh1kh2sh1dh0ph0_iw1000kw6sw1dw30pw127n"1d_conv_large_dilated_padding_2"

# convolution size has to be larger than L2
--reset
--skip-impl=ref,x64:gemm
--dir=BWD_WB --stag=axb --dtag=axb
mb2g1ic33iw84350oc33ow84349kw2pw0n"channel_tail_for_specialized_axb_bwd_w_kernel"

# small spatial convolution in amx kernel
--reset
--skip-impl=ref,x64:gemm
--dt=bf16,u8:s8:u8
ic64ih20iw14oc16oh20ow7kh1kw1sh1sw2ph0pw0n"small_ow_large_oh"
--dt=u8:s8:f32
mb1ic64ih1iw33oc1oh1ow33kh1kw24ph0pw23n"l_pad_exceeds_ow_block"

# large filter size with ic tails
--reset
--dir=FWD_D,BWD_D mb1g2ic16oc16iw128kw21n"large_filter_with_ic_tails"

# test hw_transpose optimization
--reset
--skip-impl=ref,x64:gemm
--dir=BWD_WB
ic3oc64_ih25oh18kh8sh1dh0ph0_iw20ow1kw20sw1dw0pw0n"1st_conv_hw-transpose"

# certain eltwise postops can ruin zero-padding of dst
--reset
--skip-impl=ref,x64:gemm
--attr-post-ops=relu+logistic
ic16ih9oc17oh9kh1ph0n"oc_tail_with_multiple_eltwise_postops:conv1"
ic16ih9oc17oh9kh3ph1n"oc_tail_with_multiple_eltwise_postops:conv2"
--dt=bf16 --stag=aBx16b --dtag=aBx16b # special case for bf16 amx conv
ic16ih9oc17oh9kh3ph1n"oc_tail_with_multiple_eltwise_postops:conv3"

# depthwise channel tail processing
--reset
--skip-impl=ref,x64:gemm
--dir=FWD_D
--stag=axb --dtag=axb
g113mb1ic113ih1oc113oh1kh3ph1n"depthwise_channel_tail_nxc_format"

# MFDNN-4945 AMX bwd/wu large spatial cases
--reset
--skip-impl=ref,x64:gemm
--dir=BWD_WB --dt=bf16:f32:bf16
g1ic32ih202iw202oc32oh202ow202kh7kw1ph3pw0
g1ic32ih202iw202oc32oh202ow202kh7kw3ph3pw1
g1ic32ih202oc32oh202kh5ph2
g1ic32ih202oc32oh202kh7ph3

# AMX bwd/wu small spatial with large kernel
--reset
--skip-impl=ref,x64:gemm
--dir=BWD_WB --dt=bf16:f32:bf16,bf16
mb2_ic16oc16_ih1oh1kh3ph1n"large_kernel_small_spatial"

# Strides along w-dimension but not along h-dimension
--reset
--skip-impl=ref,x64:gemm
--dir=FWD_I --dt=u8:s8:u8
ic64ih28iw27oc64oh28ow14kh1kw1sh1sw2ph0pw0n"1x1_mixed_strides"

# Gemm with ref binary post-ops
--reset
--skip-impl=
--attr-post-ops=add:f32:per_tensor,mul:f32:per_oc
g2ic32id5oc6od3kd3pd0noc%simd_width_!=0_with_im2col

# AVX512 2d/3d reduction error when the filter overlaps with both top and bottom padding
--reset
--dir=BWD_W
mb1_ic16oc16_id4od2kd2sd4dd0pd1_ih4oh2kh2sh4dh0ph1_iw6ow7kw2sw1dw0pw1

# AMX 3D check diff_src '0' fill in gaps due to dilate or stride
--skip-impl=ref,x64:gemm
--dir=BWD_D
--dt=bf16
mb1_ic32oc32_id6ih1iw17_od2oh1ow17_kd3kh1kw1_pd0ph0pw0_dd1dh0dw0_n"3d_conv_dilate_fill_gap"
mb1_ic32oc32_id5ih1iw17_od2oh1ow17kd3kh1kw1_sd4sh1sw1_pd1ph0pw0_n"3d_conv_stride_fill_gap"

# signed integer overflow in pointer offset calculations
--reset --skip-impl=ref,x64:gemm
--dir=FWD_D,BWD_D
g64mb1ic64ih4480iw2976oc64oh4480ow2976kh3kw3ph1pw1_n"dw_offset_overflow"

# sum injector with out of scope references
--reset
--dt=s8:s8:s32
--attr-post-ops=sum:0.5:1+add:f32+abs+max:u8:per_tensor:any
ic32ih13oc13oh13kh1ph0n"sum_injector_with_out_of_scope_references"

# MFDNN7420: Generate all needed kernels in brgemm conv
--reset
--dt=bf16:bf16:f32
g1ic64ih31iw1oc64oh32ow1kh3kw3ph0pw0n"brgemm_conv_generate_kernels"

# compensation for padding area when bdb_tail < bottom_vpad
--reset
--dt=s8:s8:f32
mb1ic8iw9973oc256ow9973kw9pw2n"brgconv_compensation_bdb_tail"

# test compensation w/ padding in brgemm conv
--reset
--dt=s8:s8:s8
mb1_ic1oc1_ih1kh1ph1_iw1kw1_n"brgemm_conv_comp_pad:1"
--dt=u8:s8:u8 --attr-zero-points=src0:common:1
g3mb2_ic6oc96_ih12oh8kh1sh2dh1ph2_iw11ow7kw4sw1dw1pw1_n"brgemm_conv_comp_pad:2"

# test correct creation of post_op jit kernel for sum+elem-wise operation
--reset
--dir=FWD_I --dt=u8:s8:f32
--stag=acdb --wtag=any --dtag=acdb
--attr-post-ops=sum:0.00518924+eltwise_relu
mb1_ic5oc5_ih12oh7kh1sh2dh0ph1_iw12ow4kw7sw2dw0pw1_n"brgemm_post-op-jit_elemwise-op:1"
mb1_ic2oc2_ih10oh12kh1sh1dh0ph1_iw7ow4kw2sw2dw0pw1_n"brgemm_post-op-jit_elemwise-op:2"
g90mb1_ic360oc180_ih12oh16kh1sh1dh1ph2_iw14ow7kw3sw2dw1pw2_n"brgemm_post-op-jit_elemwise-op:3"

# test correct creation of post_op jit kernel for sum operation with zero points
--reset
--dir=FWD_I --dt=u8:s8:u8
--stag=acdb --wtag=any --dtag=acdb
--attr-post-ops=sum
--attr-zero-points=dst:common:2
mb1_ic2oc2_ih10oh12kh1sh1dh0ph1_iw7ow7kw1sw1dw0pw0_n"brgemm_post-op-jit_sum-with-zp:1"
--attr-zero-points=dst:common:2+src:common:1
mb1ic2ih10iw7oc2oh6ow4kh1kw1sh2sw2ph1pw0dh1dw1_n"brgemm_post-op-jit_sum-with-zp:2"

# test primitive cache correctly dispatching proper CPU ISA
--reset
--dir=fwd_d --dt=f16 --stag=axb --dtag=axb --mb=1
ic256ih56oc64oh56kh1ph0n"primitive-cache_dispatch_shape-1"
--dir=bwd_d
ic64ih56oc256oh56kh1ph0n"primitive-cache_dispatch_shape-2"

# test fpad immediately followed by bpad.
--reset
--dir=bwd_w --dt=bf16 --stag=axb --dtag=axb mb1_ic2oc1_id3od2kd3sd2dd0pd1_n"fpad_followed_by_bpad"

# test correct wei scale calculation
--reset
--skip-impl=ref,x64:gemm
--dt=u8:s8:f32 --attr-scales=wei:common:0.025
mb2_ic512_oc64_ih7_oh7_kh1_ph0_n"test_wei-scale_computation"

# brgemm convolution for amx: Some shapes with stride results SegFault
--reset
--dir=FWD_B --dt=bf16 --stag=axb --dtag=axb
mb2_g1_ic256ih9oc324oh3kh3sh3ph1n"brgemm_strided_conv_inp_buffer_size"

# test 3d gemm convs with binary post-ops
--stag=axb --dtag=axb
--skip-impl=brg,jit:avx,ref
--attr-post-ops=add:f32:per_oc,prelu:per_oc g4ic16id5oc16od5kd3pd1n"3d_conv:grouped_gemm_conv"
--skip-impl=ref,x64:gemm # reset does not affect skip-impl

# repeated sum with varying scale
--reset --dir=FWD_I --attr-post-ops=sum+relu+sum:2 ic64ih7oc64oh7kh1ph0_n"multisum"

# test int8 brgconv with zp for case with both top and bottom vpad
--reset
--skip-impl=ref,x64:gemm
--dt=u8:s8:f32
--attr-zero-points=src:common:31+dst:common:15
ic64ih14oc24oh14kh5ph2_n"zp_with_top_and_bottom_vpad"

# test dimensions transformation for case with input channels not divided by simd_w
--reset
--skip-impl=ref,x64:gemm
--dir=FWD_I --dt=bf16:bf16:f32 mb1_ic48oc16_ih8kh2sh2ph0

# test 3d 1x1 convolution for correct rtus transform
--reset
--skip-impl=ref,x64:gemm
--dir=FWD_I --dt=u8:s8:u8 mb1_ic65oc1_id3ih2iw9kd1kh1kw1pd0ph0pw0

# test depthwise convolution blocking for big kernel
--reset
--skip-impl=ref,x64:gemm
--dir=FWD_D g3mb2_ic3oc3_id8kd1pd0_ih9kh1ph0_iw26kw17pw0

# depthwise failure due to tail processing in post-ops for jit_uni kernel
--reset
--skip-impl=ref,x64:gemm
--dir=FWD_I --dt=u8:s8:s8 --attr-post-ops=add:f32:2:abx
mb1_g50ic50oc50_ih28oh26_kh3sh1ph0_n"dw_post-op_ngroups-tail"

# test dimensions transformation for brgemm kernel
--reset
--skip-impl=ref,x64:gemm
--dir=FWD_I --dt=bf16:bf16:bf16 mb1_ic8oc128_ih1oh1kh1sh1dh0ph0_iw1048576ow2097kw500sw500dw0pw0_n"dimensions_transformation"

# test peform_outwork for brgemm kernel
--reset
--dir=FWD_I --dt=f32:f32:f32 --stag=acdb --wtag=any --dtag=acdb ic48oc134_ih23oh12kh2sh2dh0ph1_iw12ow4kw1sw13dw0pw14_n"brgemm_perform_outwork"
