derek.holloway
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382 lines
11 KiB
YAML
382 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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- &tiny_matrix
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- { M: 16, N: 16, lda: 16, stride_a: 256 }
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- &small_matrix_size_range
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- { M: 11, N: 12, lda: 13, stride_a: 156 }
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- { M: 16, N: 16, lda: 16, stride_a: 256 }
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- { M: 33, N: 32, lda: 33, stride_a: 1056 }
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- { M: 10, N: 60, lda: 20, stride_a: 1200 }
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- { M: 24, N: 1, lda: 24, stride_a: 24 }
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- { M: 1, N: 11, lda: 4, stride_a: 44 }
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- &special_case_range
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# Quick return
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- { M: 0, N: 1, lda: 1, incx: 1, incy: 1, batch_count: 1 }
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- { M: 1, N: 0, lda: 1, incx: 1, incy: 1, batch_count: 1 }
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- { M: 1, N: 1, lda: 1, incx: 1, incy: 1, batch_count: 0 }
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# invalid arg checks
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- { M: -1, N: 0, lda: 1, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: -1, lda: 1, incx: 1, incy: 1, batch_count: 0 }
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- { M: 5, N: 0, lda: 4, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 0, incx: 1, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 1, incx: 0, incy: 1, batch_count: 0 }
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- { M: 0, N: 0, lda: 1, incx: 1, incy: 0, batch_count: 0 }
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- { M: 0, N: 0, lda: 1, incx: 1, incy: 1, batch_count: -1 }
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- &medium_matrix_size_range
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- { M: 600, N: 500, lda: 600, stride_a: 300000 }
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- { M: 500, N: 700, lda: 500, stride_a: 350000 }
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- { M: 1000, N: 1000, lda: 1000, stride_a: 1000100 }
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- &large_matrix_size_range
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- { M: 1025, N: 4011, lda: 1025, stride_a: 4111275 }
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- { M: 7001, N: 2000, lda: 7000, stride_a: 14000000 }
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- { M: 4300001, N: 2, lda: 4300000, stride_a: 9000000 }
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- { M: 2, N: 4300000, lda: 2, stride_a: 9000000 }
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- &double_buffered_size_range
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- { M: 2560, N: 2560, lda: 2570, stride_a: 6579200 }
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- &incx_incy_range
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- { incx: 1, incy: 1}
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- { incx: -1, incy: -1}
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- { incx: 1, incy: -1}
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- { incx: 1, incy: 2}
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- { incx: 2, incy: 1}
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- { incx: 10, incy: 99}
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- &incx_incy_range_small
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- { incx: 1, incy: 1 }
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- &size_t_index
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- { M: 4, N: 46976, lda: 46976, stride_a: 93952 } # default kernel
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- &size_t_index_gfx90a
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- { M: 46976, N: 46976, lda: 46976, stride_a: 2206744576 } # m == n && m > 2000 && mod 128 == 0 && gfx90a
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- &size_t_MN_incx_incy
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- { M: 3, N: 3, lda: 3, stride_a: 16, incx: *c_pos_x2_overflow_int32, incy: 1 } # x is m element
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- { M: 3, N: 3, lda: 3, stride_a: 16, incx: *c_neg_x2_overflow_int32, incy: 1 } # x is m element
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- { M: 3, N: 3, lda: 3, stride_a: 16, incx: 1, incy: *c_pos_x2_overflow_int32 } # y is n element
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- { M: 3, N: 3, lda: 3, stride_a: 16, incx: 1, incy: *c_neg_x2_overflow_int32 } # y is n element
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- { M: 2176, N: 2176, lda: 2176, stride_a: 16, incx: 1, incy: 1973792 } # m == n && m > 2000 && mod 128 == 0 && gfx90a
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- { M: 2176, N: 2176, lda: 2176, stride_a: 16, incx: 1973792, incy: 1 }
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Tests:
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- name: ger_bad_arg
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category: quick
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function:
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- ger_bad_arg
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- ger_batched_bad_arg
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- ger_strided_batched_bad_arg
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precision: *single_double_precisions
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api: [ C, FORTRAN, FORTRAN_64 ]
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- name: ger_arg_check
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category: quick
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function:
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- ger
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- ger_batched
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- ger_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: ger_size_t_M
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category: stress
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function:
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- ger
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# shared code for size_t with non-batched
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#- ger_batched
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#- ger_strided_batched
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precision: *single_precision
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matrix_size: *size_t_index
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incx_incy: *incx_incy_range_small
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alpha: [ -0.5 ]
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pointer_mode_host: false
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- name: ger_size_t_M
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category: stress
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function:
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- ger
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precision: *single_precision
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matrix_size: *size_t_index_gfx90a
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incx_incy: *incx_incy_range_small
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alpha: [ -0.5 ]
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pointer_mode_host: false
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gpu_arch: ['90a','942','950']
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- name: ger_size_t_inc
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category: stress
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function:
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- ger
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# shared code for size_t with non-batched
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#- ger_batched
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#- ger_strided_batched
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precision: *single_precision
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arguments: *size_t_MN_incx_incy
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alpha: [ 0.5 ]
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pointer_mode_host: false
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os_flags: LINUX
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# Regular ger
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- name: ger_fortran
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category: quick
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function: ger
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precision: *single_double_precisions
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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: [ 2.0 ]
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api: FORTRAN
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- name: ger_NaN
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category: quick
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function: ger
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precision: *single_double_precisions
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transA: N
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matrix_size: *tiny_matrix
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incx_incy: *incx_incy_range_small
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alpha: [ .NaN ]
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- name: ger_small
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category: quick
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function: ger
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precision: *single_double_precisions
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matrix_size: *small_matrix_size_range
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incx_incy: *incx_incy_range
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alpha: [ -0.5, 2.0, 0.0 ]
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- name: ger_medium
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category: pre_checkin
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function: ger
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precision: *single_double_precisions
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matrix_size: *medium_matrix_size_range
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incx_incy: *incx_incy_range
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alpha: [ -0.5, 2.0, 0.0 ]
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- name: ger_medium
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category: pre_checkin
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function: ger
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precision: *single_double_precisions
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matrix_size: *double_buffered_size_range
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incx_incy: *incx_incy_range
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alpha: [ -0.5 ]
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- name: ger_large
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category: nightly
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function: ger
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precision: *single_double_precisions
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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: [ -0.5, 2.0, 0.0 ]
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# ger_batched
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- name: ger_batched_fortran
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category: quick
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function: ger_batched
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precision: *single_double_precisions
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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: [ 2.0 ]
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batch_count: [ -1, 0, 3 ]
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api: FORTRAN
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- name: ger_batched_NaN
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category: quick
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function: ger_batched
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precision: *single_double_precisions
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matrix_size: *tiny_matrix
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incx_incy: *incx_incy_range_small
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alpha: [ .NaN ]
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batch_count: [ 2 ]
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- name: ger_batched_small
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category: quick
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function: ger_batched
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precision: *single_double_precisions
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matrix_size: *small_matrix_size_range
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incx_incy: *incx_incy_range
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alpha: [ -0.5, 2.0, 0.0 ]
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batch_count: [ -5, 0, 1, 5, 10 ]
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- name: ger_batched_medium
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category: pre_checkin
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function: ger_batched
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precision: *single_double_precisions
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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: [ 2.0, 0.0 ]
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batch_count: [ 1, 10 ]
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- name: ger_batched_large
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category: nightly
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function: ger_batched
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precision: *single_double_precisions
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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: [ 2.0, 0.0 ]
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batch_count: [ 3 ]
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- name: ger_batched_grid_z_16bit
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category: stress
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arguments:
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- { M: 1025, N: 1, lda: 1025, incx: 1, incy: 1, stride_a: 1025, batch_count: *c_grid_yz_require_passes } #generic float kernel
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- { M: 128, N: 128, lda: 128, incx: 1, incy: 1, stride_a: 16384, batch_count: *c_grid_yz_require_passes} #double buffered loads
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alpha: [ 2.0 ]
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pointer_mode_host: false
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function:
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- ger_batched: *single_precision
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- ger_strided_batched: *single_precision
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# ger_strided_batched
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- name: ger_strided_batched_fortran
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category: quick
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function: ger_strided_batched
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precision: *single_double_precisions
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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: [ 2.0 ]
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batch_count: [ -1, 0, 3 ]
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stride_scale: [ 2 ]
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api: FORTRAN
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- name: ger_strided_batched_NaN
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category: quick
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function: ger_strided_batched
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precision: *single_precision
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matrix_size: *tiny_matrix
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incx_incy: *incx_incy_range_small
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alpha: [ .NaN ]
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batch_count: [ 2 ]
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stride_scale: [ 2 ]
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- name: ger_strided_batched_small
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category: quick
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function: ger_strided_batched
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precision: *single_double_precisions
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matrix_size: *small_matrix_size_range
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incx_incy: *incx_incy_range
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alpha: [ -0.5, 0.0 ]
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stride_scale: [ 1, 2 ]
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batch_count: [ -5, 0, 1, 5, 10 ]
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- name: ger_strided_batched_medium
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category: pre_checkin
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function: ger_strided_batched
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precision: *single_double_precisions
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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: [ -0.5, 0.0 ]
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stride_scale: [ 1 ]
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batch_count: [ 1, 10 ]
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- name: ger_strided_batched_medium
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category: pre_checkin
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function: ger_strided_batched
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precision: *single_double_precisions
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matrix_size: *double_buffered_size_range
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incx_incy: *incx_incy_range_small
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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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- name: ger_strided_batched_large
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category: nightly
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function: ger_strided_batched
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precision: *single_double_precisions
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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: [ -0.5, 0.0 ]
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stride_scale: [ 1 ]
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batch_count: [ 3 ]
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- name: ger_ILP64
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category: stress
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arguments:
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- { M: 2147483649, N: 1, lda: 2147483649, incx: 1, incy: 1, batch_count: 1 }
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- { M: 1, N: 2147483649, lda: 1, incx: 1, incy: 1, batch_count: 1 }
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- { M: 1, N: 2, lda: 1, stride_a: 2, incx: 1, incy: -1, batch_count: *c_grid_yz_require_passes }
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stride_scale: [ 1 ]
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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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- ger: *single_precision
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- ger_batched: *single_precision
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- ger_strided_batched: *single_precision
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- name: ger_graph_test
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category: pre_checkin
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function:
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- ger
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- ger_batched
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- ger_strided_batched
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precision: *single_double_precisions
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matrix_size:
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- { M: 33, N: 32, lda: 33, stride_a: 1056 }
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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: ger_repeatability_check
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category: stress
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function:
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- ger
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- ger_batched
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- ger_strided_batched
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precision: *single_double_precisions
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matrix_size:
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- { M: 33, N: 32, lda: 33, stride_a: 1056 }
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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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atomics_mode: 0
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initialization: hpl
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iters: 5
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pointer_mode_host: false
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devices: 4
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repeatability_check: true
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# per-batch alpha (rocblas_set_batch_alpha_stride) coverage, device pointer mode only
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# stride_c 1 is the densely packed alpha[batch] layout, stride_c 2 a strided layout
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- name: ger_stride_alpha
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category: pre_checkin
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function:
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- ger_batched
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- ger_strided_batched
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precision: *single_double_precisions
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matrix_size: *small_matrix_size_range
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incx_incy: *incx_incy_range
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alpha: [ -0.5, 2.0 ]
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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: [ 1, 2 ] # alpha stride
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pointer_mode_host: false
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# large-m single-precision case exercises the gfx942 sger kernel (is_float && m > 1024)
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- name: ger_stride_alpha_gfx942_large_m
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category: pre_checkin
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function:
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- ger_batched
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- ger_strided_batched
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precision: *single_precision
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matrix_size:
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- { M: 2048, N: 4, lda: 2048, stride_a: 8192 }
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incx_incy: *incx_incy_range_small
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alpha: [ 2.0 ]
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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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pointer_mode_host: false
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...
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