derek.holloway
7502bf64a4
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375 lines
11 KiB
YAML
375 lines
11 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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- &size_t_matrix_size_range
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- { M: 4097, N: 4097, KL: 6, KU: 6, lda: 1048600, incx: 1, incy: 1 }
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- { M: 4097, N: 4097, KL: 6, KU: 6, lda: 13, incx: 1048600, incy: 1 }
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- { M: 4097, N: 4097, KL: 6, KU: 6, lda: 13, incx: 1, incy: 104860 }
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- &tiny_matrix_size
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- { M: 10, N: 20, lda: 20, KL: 6, KU: 3 }
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- &small_matrix_size_range
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# lda > KL + KU + 1 && lda < M
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- { M: 2, N: 2, lda: 1, KL: 0, KU: 0 }
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- { M: 10, N: 10, lda: 9, KL: 3, KU: 2 }
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- { M: 10, N: 5, lda: 4, KL: 1, KU: 1 }
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# Regular Cases
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- { M: 100, N: 200, lda: 200, KL: 20, KU: 8 }
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- { M: 100, N: 200, lda: 200, KL: 20, KU: 30 }
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- { M: 5, N: 5, lda: 5, KL: 1, KU: 2 }
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- { M: 5, N: 5, lda: 5, KL: 2, KU: 2 }
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- { M: 4, N: 6, lda: 6, KL: 1, KU: 2 }
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- { M: 10, N: 20, lda: 20, KL: 2, KU: 1 }
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- { M: 10, N: 20, lda: 20, KL: 6, KU: 3 }
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- { M: 20, N: 30, lda: 50, KL: 14, KU: 14 }
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- { M: 20, N: 30, lda: 50, KL: 24, KU: 24 }
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- { M: 20, N: 20, lda: 100, KL: 40, KU: 40 }
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# Special Cases
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- &special_case_range
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# Quick return
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- { M: 0, N: 1, lda: 10, KL: 2, KU: 2, incx: 1, incy: 1, batch_count: 1 }
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- { M: 1, N: 0, lda: 10, KL: 2, KU: 2, incx: 1, incy: 1, batch_count: 1 }
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- { M: 0, N: 1, lda: 11, KL: 5, KU: 5, incx: 1, incy: 1, batch_count: 1 }
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- { M: 1, N: 1, lda: 10, KL: 2, KU: 2, incx: 1, incy: 1, batch_count: 0 }
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# invalid_arg checks
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- { M: -1, N: 0, lda: 10, KL: 1, KU: 1, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: -1, lda: 10, KL: 1, KU: 1, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 10, KL: -1, KU: 1, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 10, KL: 1, KU: -1, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 10, KL: 5, KU: 5, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 0, KL: 0, KU: 0, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 1, KL: 0, KU: 0, incx: 0, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 1, KL: 0, KU: 0, incx: 1, incy: 0, batch_count: 0 }
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- { M: 0, N: 0, lda: 1, KL: 0, KU: 0, incx: 1, incy: 1, batch_count: -1 }
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- &medium_matrix_size_range
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- { M: 300, N: 400, lda: 400, KL: 32, KU: 16 }
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- { M: 600, N: 500, lda: 601, KL: 64, KU: 64 }
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- &large_matrix_size_range
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- { M: 1000, N: 1000, lda: 1000, KL: 5, KU: 4 }
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- { M: 2000, N: 2000, lda: 2000, KL: 128, KU: 256 }
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- { M: 4011, N: 4011, lda: 4011, KL: 54, KU: 79 }
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- &incx_incy_range
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- { incx: 2, incy: 1, stride_scale: 1 }
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- { incx: -1, incy: 2, stride_scale: 1 }
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- { incx: 1, incy: 1, stride_scale: 1 }
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- { incx: -1, incy: 3, stride_scale: 1.5 }
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- { incx: 3, incy: -1, stride_scale: 1 }
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- { incx: 0, incy: 1, stride_scale: 1 }
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- { incx: 1, incy: 0, stride_scale: 1 }
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- { incx: 0, incy: -1, stride_scale: 2 }
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- { incx: 10, incy: 100, stride_scale: 1 }
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- &incx_incy_range_tiny
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- { incx: 1, incy: 1, stride_scale: 1 }
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- &incx_incy_range_small
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- { incx: 2, incy: 2 }
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- { incx: -1, incy: -2}
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- &alpha_beta_range
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- { alpha: 2.0, beta: 0.0, alphai: 1.5, betai: 0.5 }
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- { alpha: -1.0, beta: -1.0, alphai: 0.5, betai: 1.5 }
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- { alpha: 2.0, beta: 1.0, alphai: -1.5, betai: 0.5 }
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- { alpha: 0.0, beta: 1.0, alphai: -0.5, betai: 0 }
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- &alpha_beta_range_small
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- { alpha: 2.0, beta: 2.5, alphai: -2.0, betai: 1.0 }
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Tests:
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- name: gbmv_arg_check
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category: quick
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function:
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- gbmv
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- gbmv_batched
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- gbmv_strided_batched
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precision: *single_double_precisions
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transA: N
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matrix_size: *special_case_range
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- name: gbmv_bad_arg
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category: quick
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function:
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- gbmv_bad_arg
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- gbmv_batched_bad_arg
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- gbmv_strided_batched_bad_arg
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precision: *single_double_precisions
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transA: N
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api: [ C, FORTRAN, FORTRAN_64 ]
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# Regular gbmv
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- name: gbmv_NaN
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category: pre_checkin
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function: gbmv
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precision: *single_double_precisions
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transA: [ N, T ]
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matrix_size: *tiny_matrix_size
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incx_incy: *incx_incy_range_tiny
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alpha: [ 1.0, .NaN ] # NaN is converted to 0.0 in test code
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beta: [ 0.5, 1.0, .NaN ]
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- name: gbmv_small
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category: quick
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function: gbmv
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *small_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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api: FORTRAN
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- name: gbmv_small
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category: quick
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function: gbmv
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *small_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: gbmv_medium
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category: pre_checkin
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function: gbmv
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *medium_matrix_size_range
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pointer_mode_host: false
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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- name: gbmv_large
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category: nightly
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function: gbmv
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *large_matrix_size_range
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pointer_mode_device: false
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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# gbmv_batched
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- name: gbmv_batched_NaN
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category: pre_checkin
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function: gbmv_batched
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precision: *single_double_precisions
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transA: [ N, C ]
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matrix_size: *tiny_matrix_size
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incx_incy: *incx_incy_range_tiny
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alpha: [ 1.0, .NaN ] # NaN is converted to 0.0 in test code
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beta: [ 0.5, 1.0, .NaN ]
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batch_count: [ 2 ]
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- name: gbmv_batched_small
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category: quick
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function: gbmv_batched
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *small_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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api: FORTRAN
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batch_count: [ -1, 0, 4 ]
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- name: gbmv_batched_small
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category: quick
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function: gbmv_batched
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precision: *single_double_precisions
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transA: [ N, T, C ]
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matrix_size: *small_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, 3 ]
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- name: gbmv_batched_medium
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category: pre_checkin
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function: gbmv_batched
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *medium_matrix_size_range
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pointer_mode_host: false
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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batch_count: [ 3 ]
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- name: gbmv_batched_large
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category: nightly
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function: gbmv_batched
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precision: *single_double_precisions
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transA: [ N, T, C ]
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matrix_size: *large_matrix_size_range
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pointer_mode_device: false
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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batch_count: [ 3 ]
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- name: gbmv_batched_grid_z_16bit
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category: stress
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arguments:
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- { M: 3, N: 3, lda: 3, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes }
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KL: 1
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KU: 1
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transA: [ N, T ]
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alpha_beta: *alpha_beta_range_small
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pointer_mode_host: false
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function:
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- gbmv_batched: *single_precision
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- gbmv_strided_batched: *single_precision
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stride_scale: 1
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# gbmv_strided_batched
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- name: gbmv_strided_batched_NaN
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category: pre_checkin
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function: gbmv_strided_batched
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precision: *single_double_precisions
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transA: [ N, T, C ]
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matrix_size: *tiny_matrix_size
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incx_incy: *incx_incy_range_tiny
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alpha: [ 1.0, .NaN ] # NaN is converted to 0.0 in test code
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beta: [ 0.5, 1.0, .NaN ]
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batch_count: [ 2 ]
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- name: gbmv_strided_batched_small
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category: quick
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function: gbmv_strided_batched
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *small_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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api: FORTRAN
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batch_count: [ -1, 0, 4 ]
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stride_scale: 1.5
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- name: gbmv_strided_batched_small
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category: quick
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function: gbmv_strided_batched
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precision: *single_double_precisions
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transA: [ N, T, C ]
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matrix_size: *small_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, 3 ]
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- name: gbmv_strided_batched_medium
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category: pre_checkin
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function: gbmv_strided_batched
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precision: *single_double_precisions_complex_real
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transA: [ N, T, C ]
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matrix_size: *medium_matrix_size_range
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pointer_mode_device: false
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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batch_count: [ 3 ]
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- name: gbmv_strided_batched_large
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category: nightly
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function: gbmv_strided_batched
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precision: *single_double_precisions
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transA: [ N, T, C ]
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matrix_size: *large_matrix_size_range
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pointer_mode_host: false
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incx_incy: *incx_incy_range
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alpha_beta: *alpha_beta_range
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batch_count: [ 3 ]
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- name: gbmv_graph_test
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category: pre_checkin
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function:
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- gbmv
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- gbmv_batched
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- gbmv_strided_batched
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precision: *single_double_precisions_complex_real
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transA: N
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matrix_size:
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- { M: 100, N: 200, lda: 200, KL: 20, KU: 8}
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incx_incy: *incx_incy_range_tiny
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alpha_beta: *alpha_beta_range_small
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batch_count: [ 5 ]
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graph_test: true
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- name: gbmv_size_t
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category: stress
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function: gbmv
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precision: *single_precision
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transA: [ N, T ]
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matrix_size: *size_t_matrix_size_range
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pointer_mode_device: false
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alpha: [ 2.0 ]
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beta: [ 3.0 ]
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gpu_arch: ['90a','942','950']
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os_flags: LINUX
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- name: gbmv_ILP64
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category: stress
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arguments:
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- { M: 3, N: 3, lda: 1024, incx: 1, incy: 1, batch_count: 1 } # TODO use I64 with less memory
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- { M: 3, N: 3, lda: 5, incx: 2147483649, incy: 1, batch_count: 1 }
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- { M: 3, N: 3, lda: 5, incx: 1, incy: 2147483649, batch_count: 1 }
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- { M: 3, N: 3, lda: 3, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes }
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KL: 1
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KU: 1
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transA: [ N, T, C ]
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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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- gbmv: *single_precision
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- gbmv_batched: *single_precision
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- gbmv_strided_batched: *single_precision
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stride_scale: 1
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gpu_arch: '9??'
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- name: gbmv_repeatability_check
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category: stress
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function:
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- gbmv
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- gbmv_batched
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- gbmv_strided_batched
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precision: *single_double_precisions_complex_real
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transA: N
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matrix_size:
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- { M: 100, N: 200, lda: 200, KL: 20, KU: 8}
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incx_incy: *incx_incy_range_tiny
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alpha_beta: *alpha_beta_range_small
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batch_count: [ 2 ]
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stride_scale: 1
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initialization: hpl
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pointer_mode_host: false
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atomics_mode: 0
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iters: 5
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devices: 4
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repeatability_check: true
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# - name: gbmv_ILP64
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# category: stress # TODO decide on full problem support
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# arguments:
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# - { transA: N, M: 2147483649, N: 1, lda: 2147483649, incx: 1, incy: 1, batch_count: 1 }
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# - { transA: N, M: 3, N: 2147483649, lda: 3, incx: 1, incy: 1, batch_count: 1 }
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# - { transA: T, M: 2147483649, N: 1, lda: 2147483649, incx: 1, incy: 1, batch_count: 1 }
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# - { transA: T, M: 3, N: 2147483649, lda: 3, incx: 1, incy: 1, batch_count: 1 }
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# KL: 1
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# KU: 1
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# alpha_beta: *alpha_beta_range_small
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# pointer_mode_host: false
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# initialization: hpl # large reductions so ints can overflow
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# api: [ C_64 ]
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# os_flags: [ LINUX ]
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# function:
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# - gbmv: *single_precision
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# - gbmv_batched: *single_precision
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# - gbmv_strided_batched: *single_precision
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# stride_scale: 1
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# gpu_arch: '9??'
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...
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