--- include: rocblas_common.yaml include: known_bugs.yaml Definitions: - &special_case_range - { N: 0, incx: 1, incy: 1, batch_count: 1 } - { N: 1, incx: 1, incy: 1, batch_count: 0 } - { N: -1, incx: 1, incy: 1, batch_count: 0 } - { N: 0, incx: 0, incy: 1, batch_count: 0 } - { N: 0, incx: 1, incy: 0, batch_count: 0 } - { N: 0, incx: 1, incy: 1, batch_count: -1 } - &medium_matrix_size_range - { N: -1 } - { N: 3 } - { N: 10 } - { N: 500 } - &large_matrix_size_range - { N: 4011 } - { N: 8000 } - &incx_incy_range - { incx: 1, incy: 1 } - { incx: 0, incy: -1 } - { incx: 2, incy: 1 } - { incx: -1, incy: -1 } - &incx_incy_range_small - { incx: 2, incy: -2 } - &alpha_beta_range - { alpha: 1.0, beta: 0.0 } - { alpha: 0.0, beta: 1.0 } - { alpha: -1.0, beta: -1.0 } - { alpha: 2.0, beta: 1.0 } - &alpha_beta_range_small - { alpha: 2.0, beta: 1.5 } - &alpha_beta_range_nan - { alpha: .NaN, beta: 1.5 } - { alpha: 1.5, beta: .NaN } # alpha value changed from 1.2 -> 1.5 to overcome the equality issue when comparing results of rocBLAS with the host - &alpha_beta_range_size_t_inc - { alpha: 0, alphai: 0, beta: 0.5, betai: 0 } # only incy used - { alpha: 1, alphai: 0, beta: 0.5, betai: 0 } - &size_t_index - { N: 65536 } # overflow packed index as int (n*(n+1)/2) - &size_t_incx_incy - { N: 3, lda: 3, incx: *c_pos_x2_overflow_int32, incy: 1 } - { N: 3, lda: 3, incx: 1, incy: *c_pos_x2_overflow_int32 } Tests: - name: spmv_bad category: quick function: spmv_bad_arg precision: *single_precision api: [ C, FORTRAN, FORTRAN_64 ] - name: spmv_arg_check category: quick function: - spmv - spmv_batched - spmv_strided_batched precision: *single_double_precisions uplo: L matrix_size: *special_case_range - name: spmv_fortran category: quick function: spmv precision: *single_double_precisions uplo: [ U, L ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small api: FORTRAN - name: spmv_NaN category: pre_checkin function: spmv precision: *single_double_precisions uplo: [ U ] N: [ 33 ] incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_nan - name: spmv_medium category: pre_checkin function: spmv precision: *single_double_precisions uplo: [ U, L ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range - name: spmv_large category: nightly function: spmv precision: *single_double_precisions uplo: [ U, L ] matrix_size: *large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small - name: spmv_size_t category: stress function: spmv precision: *single_precision uplo: [ U, L ] matrix_size: *size_t_index incx: 1 incy: 1 alpha_beta: *alpha_beta_range_small pointer_mode_host: false os_flags: LINUX gpu_arch: ['90a','942','950'] - name: spmv_size_t_inc category: stress function: spmv precision: *single_precision uplo: [ U, L ] arguments: *size_t_incx_incy alpha_beta: *alpha_beta_range_size_t_inc pointer_mode_device: false os_flags: LINUX gpu_arch: ['90a','942','950'] - name: spmv_ILP64 category: stress arguments: - { N: 2, incx: 2147483649, incy: 1, batch_count: 1 } - { N: 2, incx: 1, incy: -2147483649, batch_count: 1 } - { N: 2, stride_a: 4, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes } uplo: [ U, L ] stride_scale: [ 1 ] alpha_beta: *alpha_beta_range_small pointer_mode_host: false api: [ C_64 ] os_flags: [ LINUX ] function: - spmv: *single_precision - spmv_batched: *single_precision - spmv_strided_batched: *single_precision # batched - name: spmv_batched_bad category: quick function: spmv_batched_bad_arg precision: *single_precision api: [ C, FORTRAN ] - name: spmv_batched_fortran category: quick function: spmv_batched precision: *single_double_precisions uplo: [ U, L ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ -1, 0, 3 ] api: FORTRAN - name: spmv_batched_NaN category: pre_checkin function: spmv_batched precision: *double_precision uplo: [ U ] N: [ 33 ] incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_nan batch_count: [ 2 ] - name: spmv_batched_medium category: pre_checkin function: spmv_batched precision: *single_double_precisions uplo: [ U, L ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ -1, 0, 1, 257 ] pointer_mode_host: false - name: spmv_batched_large category: nightly function: spmv_batched precision: *single_double_precisions uplo: [ U, L ] matrix_size: *large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 1, 3 ] pointer_mode_device: false - name: spmv_batched_grid_z_16bit category: stress arguments: - { N: 3, lda: 3, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes} #generic kernel uplo: [ U, L ] alpha_beta: *alpha_beta_range_small pointer_mode_host: false function: - spmv_batched: *single_precision - spmv_strided_batched: *single_precision stride_scale: 1 # strided batched - name: spmv_strided_batched_bad category: quick function: spmv_strided_batched_bad_arg precision: *single_precision api: [ C, FORTRAN ] - name: spmv_strided_batched_fortran category: quick function: spmv_strided_batched precision: *single_double_precisions uplo: [ U, L ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ -1, 0, 3 ] api: FORTRAN - name: spmv_strided_batched_NaN category: pre_checkin function: spmv_strided_batched precision: *single_double_precisions uplo: [ L ] N: [ 33 ] incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_nan batch_count: [ 2 ] - name: spmv_strided_batched_medium category: pre_checkin function: spmv_strided_batched precision: *single_double_precisions uplo: [ U, L ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range batch_count: [ -1, 0, 1, 257 ] pointer_mode_device: false - name: spmv_strided_batched_large category: nightly function: spmv_strided_batched precision: *single_double_precisions uplo: [ U, L ] matrix_size: *large_matrix_size_range incx_incy: *incx_incy_range_small alpha_beta: *alpha_beta_range_small batch_count: [ 1, 3 ] pointer_mode_host: false - name: spmv_graph_test category: pre_checkin function: - spmv - spmv_batched - spmv_strided_batched precision: *single_double_precisions matrix_size: - { N : 33 } uplo: [ U ] incx: [ 1 ] alpha: [ 2.0 ] stride_scale: [ 1 ] batch_count: [ 5 ] graph_test: true - name: spmv_repeatability_check category: stress function: - spmv - spmv_batched - spmv_strided_batched precision: *single_double_precisions matrix_size: - { N : 33 } uplo: [ U ] incx: [ 1 ] alpha: [ 2.0 ] stride_scale: [ 1 ] batch_count: [ 2 ] initialization: hpl atomics_mode: 0 pointer_mode_host: false iters: 5 devices: 4 repeatability_check: true # per-batch alpha/beta (rocblas_set_batch_alpha_stride / rocblas_set_batch_beta_stride) # coverage, device pointer mode only - name: spmv_stride_alpha_beta category: pre_checkin function: - spmv_batched - spmv_strided_batched precision: *single_double_precisions uplo: [ U, L ] matrix_size: *medium_matrix_size_range incx_incy: *incx_incy_range alpha_beta: *alpha_beta_range_small stride_scale: [ 1 ] batch_count: [ 3 ] alpha_beta_stride: true stride_c: 2 # alpha stride stride_d: 2 # beta stride pointer_mode_host: false ...