--- include: rocblas_common.yaml include: known_bugs.yaml Definitions: - &size_t_n_lda_incx_range - { N: 2048, lda: 2097200, incx: 1 } # lda overflow - { N: 2048, lda: 2097200, incx: 2 } # lda overflow - { N: 2048, lda: 2048, incx: 2097200 } # incx overflow - &small_matrix_size_range - { N: 1, lda: 1 } - { N: 11, lda: 12 } - { N: 16, lda: 16 } - { N: 33, lda: 32 } - { N: 65, lda: 66 } - &special_case_range # Quick return - { N: 0, lda: 1, incx: 1, batch_count: 1 } - { N: 1, lda: 1, incx: 1, batch_count: 0 } # invalid_arg checks - { N: -1, lda: 1, incx: 1, batch_count: 0 } - { N: 0, lda: 0, incx: 1, batch_count: 0 } - { N: 2, lda: 1, incx: 1, batch_count: 0 } - { N: 0, lda: 1, incx: 0, batch_count: 0 } - { N: 0, lda: 1, incx: 1, batch_count: -1 } - &medium_matrix_size_range - { N: 1000, lda: 1000 } - { N: 2011, lda: 2011 } - &large_matrix_size_range - { N: 3000, lda: 3000 } - { N: 6001, lda: 6001 } - &alpha_range - { alpha: -0.5, alphai: 1.5 } - { alpha: 0.0, alphai: 0.0 } - { alpha: 0.0, alphai: 2.0 } - { alpha: 1.0, alphai: 0.0 } - &alpha_range_small - { alpha: 2.0, alphai: 0.5 } - &alpha_nan - { alpha: .NaN, alphai: .NaN } Tests: - name: syr_bad_arg category: quick function: - syr_bad_arg: *single_precision - syr_batched_bad_arg: *single_precision - syr_strided_batched_bad_arg: *single_precision api: [ C, FORTRAN, FORTRAN_64 ] - name: syr_arg_check category: quick function: - syr: *single_precision - syr_batched: *single_precision - syr_strided_batched: *single_precision uplo: L matrix_size: *special_case_range - name: syr_fortran category: quick function: syr precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *small_matrix_size_range incx: [ -2, 2 ] alpha_beta: *alpha_range_small api: FORTRAN - name: syr_NaN category: quick function: syr precision: *single_double_precisions_complex_real uplo: [ U, L ] N: [ 32 ] lda: [ 32 ] incx: [ 1 ] alpha_beta: *alpha_nan - name: syr_small category: quick function: syr precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *small_matrix_size_range incx: [ 1, -2, 10 ] alpha_beta: *alpha_range - name: syr_medium category: pre_checkin function: syr precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *medium_matrix_size_range pointer_mode_host: false incx: [ 2, -2 ] alpha_beta: *alpha_range_small - name: syr_large category: nightly function: syr precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *large_matrix_size_range pointer_mode_host: false incx: [ 3 ] alpha_beta: *alpha_range_small - name: syr_size_t category: stress function: syr precision: *single_precision uplo: [ U ] matrix_size: *size_t_n_lda_incx_range pointer_mode_device: false alpha_beta: *alpha_range_small gpu_arch: ['90a','942','950'] os_flags: LINUX - name: syr_ILP64 category: stress arguments: - { N: 2, lda: 2147483649, incx: 1, batch_count: 1 } - { N: 2, lda: 2, incx: 2147483649, batch_count: 1 } - { N: 2, lda: 2, incx: -2147483649, batch_count: 1 } - { N: 2, lda: 2, stride_a: 2, incx: 1, batch_count: *c_grid_yz_require_passes } uplo: [ U, L ] stride_scale: [ 1 ] alpha_beta: *alpha_range_small pointer_mode_host: false api: [ C_64 ] os_flags: [ LINUX ] function: - syr: *single_precision - syr_batched: *single_precision - syr_strided_batched: *single_precision # batched - name: syr_batched_fortran category: quick function: syr_batched precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *small_matrix_size_range incx: [ -2, 2 ] alpha_beta: *alpha_range_small batch_count: [ -1, 0, 3 ] api: FORTRAN - name: syr_batched_NaN category: quick function: syr_batched precision: *double_precision uplo: [ L ] N: [ 32 ] lda: [ 32 ] incx: [ 1 ] alpha_beta: *alpha_nan batch_count: [ 2 ] - name: syr_batched_small category: quick function: syr_batched precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *small_matrix_size_range incx: [ -1, 2, 10 ] alpha_beta: *alpha_range batch_count: [ 1, 5 ] - name: syr_batched_medium category: pre_checkin function: syr_batched precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *medium_matrix_size_range pointer_mode_device: false incx: [ 2, -2 ] alpha_beta: *alpha_range_small batch_count: [ 1, 3 ] - name: syr_batched_large category: nightly function: syr_batched precision: *single_double_precisions_complex_real uplo: [ U ] matrix_size: *large_matrix_size_range pointer_mode_host: false incx: [ 3 ] alpha_beta: *alpha_range_small batch_count: [ 1, 3 ] - name: syr_batched_grid_z_16bit category: stress arguments: - { N: 3, lda: 3, incx: 1, batch_count: *c_grid_yz_require_passes} #generic kernel alpha: [ 2.0 ] uplo: [ U, L ] pointer_mode_host: false function: - syr_batched: *single_precision - syr_strided_batched: *single_precision stride_scale: 1 # strided batched - name: syr_strided_batched_fortran category: quick function: syr_strided_batched precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *small_matrix_size_range incx: [ -2, 2 ] alpha_beta: *alpha_range_small batch_count: [ -1, 0, 3 ] api: FORTRAN - name: syr_strided_batched_NaN category: quick function: syr_strided_batched precision: *single_precision uplo: [ U ] N: [ 32 ] lda: [ 32 ] incx: [ 1 ] alpha_beta: *alpha_nan batch_count: [ 2 ] - name: syr_strided_batched_small category: quick function: syr_strided_batched precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *small_matrix_size_range incx: [ 1, -2, 10 ] alpha_beta: *alpha_range batch_count: [ 1, 5 ] - name: syr_strided_batched_medium category: pre_checkin function: syr_strided_batched precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *medium_matrix_size_range pointer_mode_host: false incx: [ 2, -2 ] alpha_beta: *alpha_range_small batch_count: [ 1, 3 ] - name: syr_strided_large category: nightly function: syr_strided_batched precision: *single_double_precisions_complex_real uplo: [ L ] matrix_size: *large_matrix_size_range pointer_mode_device: false incx: [ 3 ] alpha_beta: *alpha_range_small batch_count: [ 1, 3 ] - name: syr_graph_test category: pre_checkin function: - syr - syr_batched - syr_strided_batched precision: *single_double_precisions_complex_real matrix_size: - { N: 33, lda: 32 } uplo: [ U ] incx: [ 1 ] alpha: [ 2.0 ] stride_scale: [ 1 ] batch_count: [ 5 ] graph_test: true - name: syr_repeatability_check category: stress function: - syr - syr_batched - syr_strided_batched precision: *single_double_precisions_complex_real matrix_size: - { N: 33, lda: 32 } uplo: [ U ] incx: [ 1 ] alpha: [ 2.0 ] stride_scale: [ 1 ] batch_count: [ 2 ] initialization: hpl atomics_mode: 0 iters: 5 pointer_mode_host: false devices: 4 repeatability_check: true # per-batch alpha (rocblas_set_batch_alpha_stride) coverage, device pointer mode only - name: syr_stride_alpha category: pre_checkin function: - syr_batched - syr_strided_batched precision: *single_double_precisions_complex_real uplo: [ U, L ] matrix_size: *small_matrix_size_range incx: [ 2, -2 ] alpha_beta: *alpha_range_small stride_scale: [ 1 ] batch_count: [ 3 ] alpha_beta_stride: true stride_c: [ 1, 2 ] # alpha stride: densely packed (1) and non-unit (2) pointer_mode_host: false ...