derek.holloway
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295 lines
7.7 KiB
YAML
295 lines
7.7 KiB
YAML
---
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include: rocblas_common.yaml
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include: known_bugs.yaml
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Definitions:
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- &special_case_range
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- { N: 0, lda: 1, K: 0, incx: 1, incy: 1, batch_count: 1 }
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- { N: 1, lda: 1, K: 0, batch_count: 0 }
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- { N: -1, lda: 1, K: 0, incx: 1, incy: 1, batch_count: 0 }
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- { N: 0, lda: 1, K: -1, incx: 1, incy: 1, batch_count: 0 }
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- { N: 0, lda: 1, K: 1, incx: 1, incy: 1, batch_count: 0 }
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- { N: 0, lda: 1, K: 0, incx: 0, incy: 1, batch_count: 0 }
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- { N: 0, lda: 1, K: 0, incx: 1, incy: 0, batch_count: 0 }
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- { N: 0, lda: 1, K: 0, incx: 1, incy: 1, batch_count: -1 }
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- &tiny_matrix
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- { N: 33, lda: 33, K: 3}
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- &medium_matrix_size_range
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- { N: -1, lda: -1, K: -1 }
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- { N: 10, lda: 2, K: -1 }
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- { N: 33, lda: 33, K: 1}
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- { N: 33, lda: 33, K: 32 }
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- { N: 300, lda: 600, K: 99 }
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- &large_matrix_size_range
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- { N: 4011, lda: 4011, K: 53 }
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- { N: 8000, lda: 8000, K: 129 }
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- &incx_incy_range
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- { incx: 1, incy: 1 }
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- { incx: 0, incy: -1 }
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- { incx: 2, incy: 1 }
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- { incx: -1, incy: -1 }
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- &incx_incy_range_small
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- { incx: -2, incy: 2 }
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- &alpha_beta_range
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- { alpha: 1.0, beta: 0.0 }
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- { alpha: -1.0, beta: -1.0 }
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- { alpha: 2.0, beta: 1.0 }
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- { alpha: 0.0, beta: 1.0 } # quick success
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- &alpha_beta_range_small
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- { alpha: 2.0, beta: 1.5 }
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- &alpha_beta_range_nan
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- { alpha: .NaN, beta: 2.0 }
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- { 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
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- &alpha_beta_range_size_t_inc
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- { alpha: 0, alphai: 0, beta: 0.5, betai: 0 } # only incy used
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- { alpha: 1, alphai: 0, beta: 0.5, betai: 0 }
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- &size_t_index
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- { N: 46976, lda: 46976, K: 45777, incx: 1, incy: 1 }
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- &size_t_incx_incy
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- { N: 3, lda: 3, K: 2, incx: *c_pos_x2_overflow_int32, incy: 1 }
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- { N: 3, lda: 3, K: 2, incx: 1, incy: *c_pos_x2_overflow_int32 }
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Tests:
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- name: sbmv_bad
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category: quick
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function:
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- sbmv_bad_arg
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- sbmv_batched_bad_arg
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- sbmv_strided_batched_bad_arg
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precision: *single_precision
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api: [ C, FORTRAN, FORTRAN_64 ]
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- name: sbmv_arg_check
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category: quick
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function:
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- sbmv
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- sbmv_batched
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- sbmv_strided_batched
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precision: *single_double_precisions
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uplo: L
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matrix_size: *special_case_range
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api: [ C, FORTRAN ]
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# non-batched
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- name: sbmv_NaN
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category: pre_checkin
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function: sbmv
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precision: *single_double_precisions
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uplo: [ U ]
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matrix_size: *tiny_matrix
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incx_incy: *incx_incy_range_small
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alpha_beta: *alpha_beta_range_nan
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- name: sbmv_medium
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category: pre_checkin
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function: sbmv
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precision: *single_double_precisions
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uplo: [ U, L ]
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matrix_size: *medium_matrix_size_range
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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- name: sbmv_large
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category: nightly
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function: sbmv
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precision: *single_double_precisions
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uplo: [ U, L ]
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matrix_size: *large_matrix_size_range
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incx_incy: *incx_incy_range_small
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alpha_beta: *alpha_beta_range_small
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pointer_mode_device: false
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- name: sbmv_size_t
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category: stress
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function: sbmv
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precision: *single_precision
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uplo: [ U, L ]
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matrix_size: *size_t_index
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incx: 1
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incy: 1
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alpha_beta: *alpha_beta_range_small
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pointer_mode_host: false
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os_flags: LINUX
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gpu_arch: ['90a','942','950']
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- name: sbmv_size_t_inc
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category: stress
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function: sbmv
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precision: *single_precision
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uplo: [ U, L ]
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arguments: *size_t_incx_incy
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# zero alpha case only uses inc not lda
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alpha_beta: *alpha_beta_range_size_t_inc
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pointer_mode_device: false
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os_flags: LINUX
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gpu_arch: ['90a','942','950']
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- name: sbmv_ILP64
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category: stress
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arguments:
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- { N: 2, lda: 2147483649, K: 2, incx: 2, incy: 1, batch_count: 1 }
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- { N: 2, lda: 2, K: 2, incx: 2147483649, incy: 1, batch_count: 1 }
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- { N: 2, lda: 2, K: 2, incx: 1, incy: -2147483649, batch_count: 1 }
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- { N: 2, lda: 2, K: 2, stride_a: 4, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes }
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uplo: [ U, L ]
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stride_scale: [ 1 ]
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alpha_beta: *alpha_beta_range_small
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pointer_mode_host: false
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api: [ C_64 ]
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os_flags: [ LINUX ]
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function:
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- sbmv: *single_precision
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- sbmv_batched: *single_precision
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- sbmv_strided_batched: *single_precision
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# batched
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- name: sbmv_batched_NaN
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category: pre_checkin
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function: sbmv_batched
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precision: *single_double_precisions
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uplo: [ U ]
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matrix_size: *tiny_matrix
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incx_incy: *incx_incy_range_small
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alpha_beta: *alpha_beta_range_nan
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batch_count: [ 2 ]
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- name: sbmv_batched_medium
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category: pre_checkin
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function: sbmv_batched
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precision: *single_double_precisions
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uplo: [ U, L ]
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matrix_size: *medium_matrix_size_range
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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batch_count: [ -1, 0, 1, 257 ]
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pointer_mode_host: false
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- name: sbmv_batched_large
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category: nightly
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function: sbmv_batched
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precision: *single_double_precisions
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uplo: [ U, L ]
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matrix_size: *large_matrix_size_range
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incx_incy: *incx_incy_range_small
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alpha_beta: *alpha_beta_range_small
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batch_count: [ 1, 3 ]
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pointer_mode_host: false
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- name: sbmv_batched_grid_z_16bit
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category: stress
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arguments:
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- { N: 3, K: 3, lda: 3, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes }
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alpha_beta: *alpha_beta_range_small
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uplo: [ U, L ]
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pointer_mode_host: false
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function:
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- sbmv_batched: *single_precision
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- sbmv_strided_batched: *single_precision
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stride_scale: 1
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# strided batched
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- name: sbmv_strided_batched_NaN
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category: pre_checkin
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function: sbmv_strided_batched
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precision: *single_precision
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uplo: [ L ]
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matrix_size: *tiny_matrix
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incx_incy: *incx_incy_range_small
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alpha_beta: *alpha_beta_range_nan
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batch_count: [ 2 ]
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stride_scale: [ 2 ]
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- name: sbmv_strided_batched_medium
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category: pre_checkin
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function: sbmv_strided_batched
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precision: *single_double_precisions
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uplo: [ U, L ]
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matrix_size: *medium_matrix_size_range
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incx_incy: *incx_incy_range_small
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alpha_beta: *alpha_beta_range_small
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batch_count: [ -1, 0, 1, 257 ]
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stride_scale: [1]
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pointer_mode_host: false
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- name: sbmv_strided_batched_large
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category: nightly
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function: sbmv_strided_batched
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precision: *single_double_precisions
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uplo: [ U, L ]
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matrix_size: *large_matrix_size_range
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incx_incy: *incx_incy_range_small
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alpha_beta: *alpha_beta_range_small
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batch_count: [ 1, 3 ]
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stride_scale: [1]
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pointer_mode_device: false
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- name: sbmv_graph_test
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category: pre_checkin
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function:
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- sbmv
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- sbmv_batched
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- sbmv_strided_batched
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precision: *single_double_precisions
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matrix_size: *tiny_matrix
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uplo: [ U ]
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incx: [ 1 ]
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alpha: [ 2.0 ]
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stride_scale: [ 1 ]
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batch_count: [ 5 ]
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graph_test: true
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- name: sbmv_repeatablity_check
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category: stress
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function:
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- sbmv
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- sbmv_batched
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- sbmv_strided_batched
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precision: *single_double_precisions
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matrix_size: *tiny_matrix
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uplo: [ U ]
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incx: [ 1 ]
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alpha: [ 2.0 ]
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stride_scale: [ 1 ]
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batch_count: [ 2 ]
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initialization: hpl
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atomics_mode: 0
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pointer_mode_host: false
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iters: 5
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devices: 4
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repeatability_check: true
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# per-batch alpha/beta (rocblas_set_batch_alpha_stride / rocblas_set_batch_beta_stride)
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# coverage, device pointer mode only
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- name: sbmv_stride_alpha_beta
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category: pre_checkin
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function:
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- sbmv_batched
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- sbmv_strided_batched
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precision: *single_double_precisions
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uplo: [ U, L ]
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matrix_size: *medium_matrix_size_range
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range_small
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stride_scale: [ 1 ]
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batch_count: [ 3 ]
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alpha_beta_stride: true
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stride_c: 2 # alpha stride
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stride_d: 2 # beta stride
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pointer_mode_host: false
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...
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