--- include: rocblas_common.yaml include: known_bugs.yaml Definitions: - &small_matrix_size_range - { M: 10, N: 10, lda: 2, stride_a: 1 } - { M: 100, N: 200, lda: 200, stride_a: 40000 } - &sm_mn_matrix_size_range # m && n <= 32 && batch_count >= 256 (gfx90a only) watch for overlap with qmcpack - { M: 3 , N: 32, lda: 3, stride_a: 96 } - { M: 24, N: 24, lda: 24, stride_a: 1024 } - { M: 32, N: 11, lda: 32, stride_a: 1024 } - &qmcpack_matrix_size_range # m <= 64 && batch_count > 8 (transposes only), N >= 33 to avoid sm_mn kernel - { M: 2 , N: 33, lda: 2, stride_a: 66 } - { M: 32, N: 34, lda: 32, stride_a: 1088 } - { M: 15, N: 35, lda: 16, stride_a: 1024 } - { M: 32, N: 1536, lda: 32, stride_a: 49152 } - &skinny_n_matrix_size_range # n <= 128 && m >= 2048 * n - { M: 32000, N: 11, lda: 32000, stride_a: 352000 } - { M: 81920, N: 40, lda: 81920, stride_a: 3276800 } - { M: 20480, N: 7, lda: 20480, stride_a: 143360 } - { M: 131071, N: 63, lda: 131071, stride_a: 8257473 } - &double_buffered_loads_size_range # (n <= 3000 && n >= m) || (n %128 == 0 && m==n) - { M: 256, N: 256, lda: 256, stride_a: 65536 } - { M: 1024, N: 1024, lda: 1024, stride_a: 1048576 } - { M: 3840, N: 3840, lda: 3840, stride_a: 14745600} # test for gfx90a, gfx942, gfx950 - &all_algo_matrix_size_range - { M: 4096, N: 2, lda: 4096, stride_a: 8192 } # skinny n - { M: 32, N: 32, lda: 32, stride_a: 1024 } - { M: 100, N: 200, lda: 200, stride_a: 40000 } - &special_case_range # Quick return - { M: 0, N: 1, lda: 1, incx: 1, incy: 1, batch_count: 1 } - { M: 1, N: 0, lda: 1, incx: 1, incy: 1, batch_count: 1 } - { M: 1, N: 1, lda: 1, incx: 1, incy: 1, batch_count: 0 } # invalid_arg checks - { M: -1, N: 0, lda: 1, incx: 1, incy: 1, batch_count: 0 } - { M: 0, N: -1, lda: 1, incx: 1, incy: 1, batch_count: 0 } - { M: 5, N: 5, lda: 4, incx: 1, incy: 1, batch_count: 0 } - { M: 0, N: 0, lda: 0, incx: 1, incy: 1, batch_count: 0 } - { M: 0, N: 0, lda: 1, incx: 0, incy: 1, batch_count: 0 } - { M: 0, N: 0, lda: 1, incx: 1, incy: 0, batch_count: 0 } - { M: 0, N: 0, lda: 1, incx: 1, incy: 1, batch_count: -1 } - &medium_matrix_size_range - { M: 300, N: 400, lda: 400, stride_a: 160000 } - { M: 600, N: 500, lda: 601, stride_a: 301000 } - &large_matrix_size_range - { M: 1000, N: 1000, lda: 1000, stride_a: 1000000 } - { M: 2000, N: 2000, lda: 2000, stride_a: 4000000 } - { M: 4011, N: 4011, lda: 4011, stride_a: 16088200 } - { M: 8000, N: 8000, lda: 8000, stride_a: 64000000 } - &very_large_matrix_size_range - { M: 16010, N: 16010, lda: 16010, stride_a: 256320100 } - { M: 25020, N: 25020, lda: 25020, stride_a: 625000400 } - &gemvt_fat_row_vectorized_range # Specific sizes to trigger the gemvt_row_vectorized kernels (m << n is required) - { M: 16..32..8, N: 512, lda: 32, stride_a: 16384 } # s,d,c,z m<=128, (n >= 8*m on 942) - { M: 256, N: 1024, lda: 256, stride_a: 262144 } # d, c, m<=384, (n >= 4*m on 90a) - { M: 512, N: 2048, lda: 512, stride_a: 1048576 } # s, m<=768 - { M: 60, N: 512, lda: 256, stride_a: 131072 } # z, m<=128 - { M: 300, N: 2400, lda: 300, stride_a: 720000 } # d, c, m<=384 - &incx_incy_range - { incx: 2, incy: 1, stride_scale: 1 } - { incx: -1, incy: 2, stride_scale: 1 } - { incx: 1, incy: 1, stride_scale: 1 } - { incx: -1, incy: 3, stride_scale: 1.5 } - { incx: 3, incy: -1, stride_scale: 2 } - { incx: 10, incy: 100, stride_scale: 1 } - &incx_incy_range_small - { incx: 2, incy: 2, stride_scale: 1 } - &incx_incy_unity - { incx: 1, incy: 1, stride_scale: 1 } - &alpha_beta_range - { alpha: 2.0, beta: 0.0, alphai: 1.5, betai: 0.5 } - { alpha: -1.0, beta: -1.0, alphai: 0.5, betai: 1.5 } - { alpha: 2.0, beta: 1.0, alphai: -1.5, betai: 0.5 } - { alpha: 0.0, beta: 1.0, alphai: -0.5, betai: 0 } - &alpha_beta_range_small - { alpha: 2.0, beta: 2.0, alphai: 1.5, betai: -1.5 } - &alpha_beta_range_size_t - { alpha: 2.0, beta: 2.0, alphai: 1.5, betai: -1.5 } - { alpha: 0, beta: 2, alphai: 0, betai: -1.5 } - { alpha: 2.0, beta: 0, alphai: 1.5, betai: 0 } - { alpha: 0, beta: 0, alphai: 0, betai: 0 } # Non-transpose: batched gfx90a # Not a feasable test with current memory contraints # - &size_t_large_batch # - { M: 2, N: 2, lda: 1073741825, incx: *c_pos_x2_overflow_int32, incy: 1, batch_count: 256 } # - { M: 2, N: 2, lda: 2, incx: *c_pos_x2_overflow_int32, incy: 1, batch_count: 256 } # - { M: 2, N: 2, lda: 2, incx: *c_neg_x2_overflow_int32, incy: 1, batch_count: 256 } # - { M: 2, N: 2, lda: 2, incx: 1, incy: *c_pos_x2_overflow_int32, batch_count: 256 } # - { M: 2, N: 2, lda: 2, incx: 1, incy: *c_neg_x2_overflow_int32, batch_count: 256 } # Non-transpose: non-batched 90a tests - &size_t_non_transpose_90a # skinny - { M: 4096, N: 2, lda: 524416, incx: 1, incy: 1 } - { M: 4096, N: 2, lda: 4096, incx: 524416, incy: 1 } - { M: 4096, N: 2, lda: 4096, incx: -524416, incy: 1 } - { M: 4096, N: 2, lda: 4096, incx: 1, incy: 524416 } - { M: 4096, N: 2, lda: 4096, incx: 1, incy: -524416 } # gfx90a double buffered loads, w/ atomics - { M: 128, N: 128, lda: 16909322, incx: 1, incy: 1 } - { M: 128, N: 128, lda: 128, incx: 16909322, incy: 1 } - { M: 128, N: 128, lda: 128, incx: -16909322, incy: 1 } - { M: 128, N: 128, lda: 128, incx: 1, incy: 16909322 } - { M: 128, N: 128, lda: 128, incx: 1, incy: -16909322 } # general 90a - { M: 3, N: 3, lda: *c_pos_x2_overflow_int32, incx: 1, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_pos_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_neg_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_pos_x2_overflow_int32 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_neg_x2_overflow_int32 } # Non-transpose: gfx908 optimization, m < 15000, n < 15000 - &size_t_908 - { M: 3, N: 3, lda: *c_pos_x2_overflow_int32, incx: 1, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_pos_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_neg_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_pos_x2_overflow_int32 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_neg_x2_overflow_int32 } # half/bfloat tests: using generic precision kernels currently - &size_t_fp16 - { M: 3, N: 3, lda: *c_pos_x2_overflow_int32, incx: 1, incy: 1, batch_count: 1 } - { M: 3, N: 3, lda: 3, incx: *c_pos_x2_overflow_int32, incy: 1, batch_count: 1 } - { M: 3, N: 3, lda: 3, incx: *c_neg_x2_overflow_int32, incy: 1, batch_count: 1 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_pos_x2_overflow_int32, batch_count: 1 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_neg_x2_overflow_int32, batch_count: 1 } # Transpose/Conj: batched gfx90a # Not a feasable test with current memory contraints # - &size_t_batch10 # - { M: 2, N: 2, lda: *c_pos_x2_overflow_int32, incx: 1, incy: 1, batch_count: 9 } # - { M: 2, N: 2, lda: 2, incx: *c_pos_x2_overflow_int32, incy: 1, batch_count: 9 } # - { M: 2, N: 2, lda: 2, incx: *c_neg_x2_overflow_int32, incy: 1, batch_count: 9 } # - { M: 2, N: 2, lda: 2, incx: 1, incy: *c_pos_x2_overflow_int32, batch_count: 9 } # - { M: 2, N: 2, lda: 2, incx: 1, incy: *c_neg_x2_overflow_int32, batch_count: 9 } # Transpose/Conj: non-batched 90a tests - &size_t_transpose_90a # skinny - { M: 8192, N: 4, lda: 262177, incx: 1, incy: 1 } - { M: 8192, N: 4, lda: 8192, incx: 262177, incy: 1 } - { M: 8192, N: 4, lda: 8192, incx: -262177, incy: 1 } - { M: 8192, N: 4, lda: 8192, incx: 1, incy: *c_pos_x2_overflow_int32 } - { M: 8192, N: 4, lda: 8192, incx: 1, incy: *c_neg_x2_overflow_int32 } # general hardware shared-mem reduction - { M: 3, N: 3, lda: *c_pos_x2_overflow_int32, incx: 1, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_pos_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_neg_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_pos_x2_overflow_int32 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_neg_x2_overflow_int32 } #general case (m & n have to be reasonably large) - { M: 4193, N: 4194, lda: 512282, incx: 1, incy: 1 } - { M: 4193, N: 4194, lda: 4193, incx: 512282, incy: 1 } - { M: 4193, N: 4194, lda: 4193, incx: -512282, incy: 1 } - { M: 4193, N: 4194, lda: 4193, incx: 1, incy: 512282 } - { M: 4193, N: 4194, lda: 4193, incx: 1, incy: -512282 } # Conj: general case m > 6000, n > 6000 non-float - &size_t_general_c_90a - { M: 6001, N: 6001, lda: 357914, incx: 1, incy: 1 } - { M: 6001, N: 6001, lda: 6001, incx: 357914, incy: 1 } - { M: 6001, N: 6001, lda: 6001, incx: -357914, incy: 1 } - { M: 6001, N: 6001, lda: 6001, incx: 1, incy: 357914 } - { M: 6001, N: 6001, lda: 6001, incx: 1, incy: -357914 } # Transpose/Conj: 908 double buffered loads, atomics allowed - &size_t_db_loads_t_908 - { M: 10496, N: 10496, lda: 204620, incx: 1, incy: 1 } - { M: 10496, N: 10496, lda: 10496, incx: 204620, incy: 1 } - { M: 10496, N: 10496, lda: 10496, incx: 204620, incy: 1 } - { M: 10496, N: 10496, lda: 10496, incx: 1, incy: 204620 } - { M: 10496, N: 10496, lda: 10496, incx: 1, incy: 204620 } # Transpose: gfx10/11/12 warp-reduction - &size_t_gfx10_11_12_wr - { M: 3, N: 3, lda: *c_pos_x2_overflow_int32, incx: 1, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_pos_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: *c_neg_x2_overflow_int32, incy: 1 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_pos_x2_overflow_int32 } - { M: 3, N: 3, lda: 3, incx: 1, incy: *c_neg_x2_overflow_int32 } Tests: # Regular gemv - name: gemv_bad_arg category: quick function: gemv_bad_arg precision: *single_double_precisions_complex_real transA: N api: [ FORTRAN, FORTRAN_64 ] - name: gemv_arg_check category: quick function: gemv precision: *single_double_precisions transA: N - name: gemv_NaN category: pre_checkin function: gemv precision: *single_double_precisions transA: [ N, T ] matrix_size: *all_algo_matrix_size_range incx_incy: *incx_incy_range_small alpha: [ 1.0, .NaN ] # NaN is converted to 0.0 in test code beta: [ 0.5, 1.0, .NaN ] - name: gemv_fortran category: quick function: gemv precision: *single_double_precisions_complex_real transA: [ N, T, C ] incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small api: FORTRAN - name: gemv_small category: quick function: gemv precision: *single_double_precisions_complex_real transA: [ N, T, C ] matrix_size: *small_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range - name: gemv_medium category: pre_checkin function: gemv precision: *single_double_precisions_complex_real transA: [ N, T, C ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range - name: gemv_double_buffered category: pre_checkin function: gemv precision: *single_double_precisions transA: [ N ] matrix_size: *double_buffered_loads_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small atomics_mode: [0, 1] - name: gemv_medium_HMM category: HMM function: gemv precision: *single_double_precisions_complex_real transA: [ N ] matrix_size: *medium_matrix_size_range incx: -1 incy: 2 alpha: 1 beta: 1 - name: gemv_medium_multi_gpu category: multi_gpu function: gemv precision: *single_double_precisions transA: [ N, T ] matrix_size: *medium_matrix_size_range incx: 2 incy: 1 alpha_beta: *alpha_beta_range threads_streams: *common_threads_streams devices: [0, 2, 4] - name: gemv_medium_multi_threads_streams category: nightly function: gemv precision: *single_double_precisions_complex_real transA: [ N, T, C ] matrix_size: *medium_matrix_size_range incx: 2 incy: 1 alpha_beta: *alpha_beta_range threads_streams: *common_threads_streams - name: gemv_large category: nightly function: gemv precision: *single_double_precisions_complex_real transA: [ N, T, C ] matrix_size: *large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small - name: gemv_very_large category: nightly function: gemv precision: *double_precision transA: [ N ] matrix_size: *very_large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small gpu_arch: '9??' - name: gemv_skinny_n category: pre_checkin function: gemv precision: *single_double_precisions_complex_real transA: [ N, T, C ] matrix_size: *skinny_n_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range - name: gemv_size_t_non_transpose_90a category: stress function: gemv precision: *single_precision transA: [ N ] matrix_size: *size_t_non_transpose_90a alpha_beta: *alpha_beta_range_size_t pointer_mode_host: false atomics_mode: [0, 1] os_flags: LINUX gpu_arch: ['90a'] - name: gemv_size_t_non_transpose_908 category: stress function: gemv precision: *single_precision transA: [ N ] matrix_size: *size_t_908 alpha_beta: *alpha_beta_range_size_t pointer_mode_host: false os_flags: LINUX gpu_arch: ['908'] - name: gemv_size_t_non_transpose_fp16_90a category: stress function: gemv_batched precision: *hpa_half_precision transA: [ N ] matrix_size: *size_t_fp16 alpha_beta: *alpha_beta_range_size_t pointer_mode_host: false os_flags: LINUX gpu_arch: ['90a'] - name: gemv_size_t_transpose_90a category: stress function: gemv precision: *single_precision transA: [ T, C ] matrix_size: *size_t_transpose_90a alpha_beta: *alpha_beta_range_size_t pointer_mode_host: false os_flags: LINUX gpu_arch: ['90a'] - name: gemv_size_t_conj_90a category: stress function: gemv precision: *double_precision transA: [ T, C ] matrix_size: *size_t_general_c_90a alpha_beta: *alpha_beta_range_size_t pointer_mode_host: false os_flags: LINUX gpu_arch: ['90a'] - name: gemv_size_t_transpose_908 category: stress function: gemv precision: *single_precision transA: [ T, C ] matrix_size: *size_t_db_loads_t_908 alpha_beta: *alpha_beta_range_size_t pointer_mode_host: false os_flags: LINUX gpu_arch: ['908'] - name: gemv_size_t_transpose_10_11_12 category: stress function: gemv precision: *single_precision transA: [ T, C ] matrix_size: *size_t_gfx10_11_12_wr alpha_beta: *alpha_beta_range_size_t pointer_mode_host: false os_flags: LINUX gpu_arch: ['10??', '11??', '12??'] # gemv_batched - name: gemv_batched_bad_arg category: quick function: gemv_batched_bad_arg precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: N api: [ FORTRAN, FORTRAN_64 ] - name: gemv_batched_arg_check category: quick function: gemv_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: N - name: gemv_batched_NaN category: pre_checkin function: gemv_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] matrix_size: *all_algo_matrix_size_range incx_incy: *incx_incy_range_small alpha: [ 1.0, 2.0, .NaN ] # NaN is converted to 0.0 in test code beta: [2.0, 1.0, .NaN ] batch_count: [ 2, 9 ] # 9 for qmc_pack algo - name: gemv_batched_fortran category: quick function: gemv_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ -1, 0, 3 ] api: FORTRAN - name: gemv_batched_double_buffered category: pre_checkin function: gemv_batched precision: *single_double_precisions transA: [ N ] matrix_size: *double_buffered_loads_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 3 ] atomics_mode: [0, 1] - name: gemv_batched_skinny_n category: pre_checkin function: gemv_batched precision: *single_double_precisions_complex_real transA: [ N, T, C ] matrix_size: *skinny_n_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 3 ] - name: gemv_batched_small category: quick function: gemv_batched precision: *single_double_precisions transA: [ N, T, C ] matrix_size: *small_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ -1, 0, 1, 3 ] - name: gemv_sm_mn_batched category: pre_checkin function: - gemv_batched - gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N ] matrix_size: *sm_mn_matrix_size_range incx_incy: *incx_incy_range_small alpha: [ 1.0, .NaN ] # NaN is converted to 0.0 in test code beta: [ 1.0, .NaN ] batch_count: [256, 513] # >= 256 - name: gemv_batched_qmcpack category: quick function: gemv_batched precision: *single_double_precisions_complex_real transA: [ T, C ] matrix_size: *qmcpack_matrix_size_range incx: [ 2 ] incy: [ 2 ] alpha_beta: *alpha_beta_range batch_count: [ 100, 1000 ] - name: gemv_batched_medium category: pre_checkin function: gemv_batched precision: *single_double_precisions_complex_real transA: [ N, T, C ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ 3 ] - name: gemv_batched_large category: nightly function: gemv_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] matrix_size: *large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 3 ] - name: gemv_batched_very_large category: nightly function: gemv_batched precision: *double_precision transA: [ T ] matrix_size: *very_large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 2 ] gpu_arch: '9??' - name: gemv_batched_grid_z_16bit category: stress arguments: - { M: 2048, N: 1, lda: 2048, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes} #skinny tuned block size gemvn_kernel - { M: 128, N: 128, lda: 128, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes} #double buffered loads - { M: 3, N: 3, lda: 3, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes} #generic kernel transA: [ N, T, C ] alpha_beta: *alpha_beta_range_small pointer_mode_host: false function: - gemv_batched: *single_precision - gemv_strided_batched: *single_precision stride_scale: 1 # gemv_strided_batched - name: gemv_strided_batched_bad_arg category: quick function: gemv_strided_batched_bad_arg precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: N api: [ FORTRAN, FORTRAN_64 ] - name: gemv_strided_batched_arg_check category: quick function: gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: N - name: gemv_strided_batched_NaN category: pre_checkin function: gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] matrix_size: *all_algo_matrix_size_range incx_incy: *incx_incy_range_small alpha: [ 2.0, .NaN ] # NaN converted to 0.0 in test code beta: [ 0.5, 1.0, .NaN ] batch_count: [ 2 ] - name: gemv_strided_batched_fortran category: quick function: gemv_strided_batched precision: *single_double_precisions_complex_real transA: [ N, T, C ] incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ -1, 0, 3 ] api: FORTRAN - name: gemv_strided_batched_small category: quick function: gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] matrix_size: *small_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ -1, 0, 1, 3 ] - name: gemv_strided_batched_double_buffered category: pre_checkin function: gemv_strided_batched precision: *single_double_precisions transA: [ N ] matrix_size: *double_buffered_loads_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 3 ] atomics_mode: [0, 1] - name: gemv_strided_batched_skinny_n category: pre_checkin function: gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] matrix_size: *skinny_n_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 3 ] - name: gemv_strided_batched_qmcpack category: quick function: gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ T, C ] matrix_size: *qmcpack_matrix_size_range incx: [ 2 ] incy: [ 2 ] stride_scale: 1 alpha_beta: *alpha_beta_range batch_count: [ 64, 512 ] - name: gemv_strided_batched_medium category: pre_checkin function: gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ 3 ] - name: gemv_strided_batched_large category: nightly function: gemv_strided_batched precision: *single_double_precisions transA: [ N, T, C ] matrix_size: *large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 3 ] - name: gemv_strided_batched_very_large category: nightly function: gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T ] matrix_size: *very_large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 2 ] gpu_arch: '9??' - name: gemv_stride_alpha_beta category: pre_checkin function: - gemv_batched - gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: [ N, T, C ] matrix_size: *qmcpack_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ 3 ] alpha_beta_stride: true stride_c: 2 # alpha beta stride stride_d: 2 pointer_mode_host: false - name: gemv_row_vectorized_coverage category: pre_checkin function: - gemv - gemv_batched - gemv_strided_batched precision: *single_double_precisions_complex_real transA: [ T, C ] matrix_size: *gemvt_fat_row_vectorized_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ 33, 256 ] gpu_arch: ['90a', '942'] - name: gemv_ILP64 category: stress arguments: - { M: 2, N: 2, lda: 2147483649, incx: 1, incy: 1, batch_count: 1 } - { M: 2, N: 2, lda: 2, incx: 2147483649, incy: 1, batch_count: 1 } - { M: 2, N: 2, lda: 2, incx: 1, incy: 2147483649, batch_count: 1 } - { M: 2, N: 2, lda: 2, stride_a: 4, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes } transA: [ N, T, C ] alpha_beta: *alpha_beta_range_small pointer_mode_host: false api: [ C_64 ] os_flags: [ LINUX ] function: - gemv: *single_precision - gemv_batched: *hpa_half_precision - gemv_strided_batched: *hpa_half_precision stride_scale: 1 gpu_arch: '9??' - name: gemv_ILP64 category: stress arguments: - { transA: N, M: 2147483649, N: 1, lda: 2147483649, incx: 1, incy: 1, batch_count: 1 } - { transA: N, M: 1, N: 2147483649, lda: 1, incx: 1, incy: 1, batch_count: 1 } - { transA: T, M: 2147483649, N: 1, lda: 2147483649, incx: 1, incy: 1, batch_count: 1 } - { transA: T, M: 1, N: 2147483649, lda: 1, incx: 1, incy: 1, batch_count: 1 } alpha_beta: *alpha_beta_range_small pointer_mode_host: false initialization: hpl # large reductions so ints can overflow api: [ C_64 ] os_flags: [ LINUX ] function: - gemv: *single_precision # Too slow for now #- gemv_batched: *hpa_half_precision #- gemv_strided_batched: *hpa_half_precision stride_scale: 1 gpu_arch: '9??' - name: gemv_graph_test category: pre_checkin function: - gemv - gemv_batched - gemv_strided_batched precision: *gemv_bfloat_half_single_double_complex_real_precisions transA: N matrix_size: - { M: 100, N: 200, lda: 200, stride_a: 40000 } incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 5 ] graph_test: true - name: gemv_repeatability_check category: stress function: - gemv - gemv_batched - gemv_strided_batched precision: *single_double_precisions initialization: hpl transA: [ N, T] matrix_size: - { M: 10496, N: 10496, lda: 10496, incx: 1, incy: 1 } alpha: [ 1.0 ] atomics_mode: 0 batch_count: [ 2 ] iters: 5 stride_scale: 1 pointer_mode_host: false devices: 4 repeatability_check: true ...