derek.holloway
7502bf64a4
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339 lines
8.4 KiB
YAML
339 lines
8.4 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_index
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- { N: 65536, incx: 1, incy: 1 } # overflow packed index as int (n*(n+1)/2)
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- &size_t_incx_incy
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- { N: 4097, incx: 1048600, incy: 1 }
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- { N: 4097, incx: -1048600, incy: 1 }
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- { N: 4097, incx: 1, incy: 1048600 }
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- { N: 4097, incx: 1, incy: -1048600 }
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- &small_matrix_size_range
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- { N: 1 }
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- { N: 4 }
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- { N: 9 }
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- { N: 16 }
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- { N: 63 }
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- { N: 65 }
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- { N: 128 }
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- { N: 200 }
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- &special_case_range
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# Quick return
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- { N: 0, incx: 1, incy: 1, batch_count: 1 }
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- { N: 1, incx: 1, incy: 1, batch_count: 0 }
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# invalid_arg checks
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- { N: -1, incx: 1, incy: 1, batch_count: 0 }
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- { N: 0, incx: 0, incy: 1, batch_count: 0 }
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- { N: 0, incx: 1, incy: 0, batch_count: 0 }
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- { N: 0, incx: 1, incy: 1, batch_count: -1 }
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- &medium_matrix_size_range
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- { N: 400 }
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- { N: 500 }
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- &large_matrix_size_range
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- { N: 1000 }
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- { N: 2000 }
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- { N: 4011 }
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- &incx_incy_range
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- { incx: 1, incy: 1 }
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- { incx: -1, incy: 3 }
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- { incx: 3, incy: -1 }
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- { incx: 10, incy: 100 }
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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: 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: 1.5, alphai: 0.5, betai: -1.5 }
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Tests:
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- name: hpmv_bad_arg
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category: quick
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function:
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- hpmv_bad_arg
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- hpmv_batched_bad_arg
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- hpmv_strided_batched_bad_arg
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precision: *single_double_precisions_complex
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uplo: N
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api: [ C, FORTRAN, FORTRAN_64 ]
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- name: hpmv_arg_check
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category: quick
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function:
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- hpmv
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- hpmv_batched
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- hpmv_strided_batched
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precision: *single_double_precisions_complex
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uplo: L
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matrix_size: *special_case_range
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# non-batched
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- name: hpmv_NaN
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category: pre_checkin
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function: hpmv
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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N: [ 129 ]
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incx_incy: *incx_incy_range_small
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alpha: [ 2.0, .NaN ] # NaN is converted to 0.0 in test code
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beta: [ 1.0, 0.5, .NaN ]
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- name: hpmv_fortran
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category: quick
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function: hpmv
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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: hpmv_small
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category: quick
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function: hpmv
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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: hpmv_medium
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category: pre_checkin
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function: hpmv
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precision: *single_double_precisions_complex
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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: hpmv_large
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category: nightly
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function: hpmv
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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_small
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alpha_beta: *alpha_beta_range_small
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# batched
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- name: hpmv_batched_NaN
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category: pre_checkin
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function: hpmv_batched
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precision: *single_double_precisions_complex
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uplo: [ L ]
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N: [ 129 ]
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incx_incy: *incx_incy_range_small
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alpha: [ 2.0, .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: [ 3 ]
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- name: hpmv_batched_fortran
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category: quick
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function: hpmv_batched
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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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batch_count: [ -1, 0, 3 ]
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api: FORTRAN
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- name: hpmv_batched_small
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category: quick
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function: hpmv_batched
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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: [ 3 ]
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- name: hpmv_batched_medium
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category: pre_checkin
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function: hpmv_batched
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precision: *single_double_precisions_complex
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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: [ 3 ]
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- name: hpmv_batched_large
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category: nightly
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function: hpmv_batched
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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_small
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alpha_beta: *alpha_beta_range_small
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batch_count: [ 3 ]
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- name: hpmv_batched_grid_z_16bit
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category: stress
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arguments:
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- { N: 3, incx: 1, incy: 1, batch_count: *c_grid_yz_require_passes} #generic kernel
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uplo: [ U, L ]
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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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- hpmv_batched: *single_precision_complex
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- hpmv_strided_batched: *single_precision_complex
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stride_scale: 1
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# hpmv_strided_batched
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- name: hpmv_strided_batched_NaN
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category: pre_checkin
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function: hpmv_strided_batched
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precision: *single_double_precisions_complex
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uplo: [ U ]
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N: [ 129 ]
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incx_incy: *incx_incy_range_small
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alpha: [ 2.0, .NaN ] # NaN is converted to 0.0 in test code
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alphai: [ 0.5 ]
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beta: [ 0.5, 1.0, .NaN ]
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batch_count: [ 2 ]
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stride_scale: [ 1.5 ]
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- name: hpmv_strided_batched_fortran
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category: quick
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function: hpmv_strided_batched
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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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batch_count: [ -1, 0, 3 ]
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stride_scale: [ 2 ]
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api: FORTRAN
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- name: hpmv_strided_batched_small
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category: quick
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function: hpmv_strided_batched
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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: [ 3 ]
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stride_scale: [ 2 ]
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- name: hpmv_strided_batched_medium
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category: pre_checkin
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function: hpmv_strided_batched
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precision: *single_double_precisions_complex
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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: [ 3 ]
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stride_scale: [ 1 ]
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- name: hpmv_strided_batched_large
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category: nightly
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function: hpmv_strided_batched
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precision: *single_double_precisions_complex
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uplo: [ U, L ]
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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_small
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alpha_beta: *alpha_beta_range_small
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batch_count: [ 3 ]
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stride_scale: [ 1 ]
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- name: hpmv_graph_test
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category: pre_checkin
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function:
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- hpmv
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- hpmv_batched
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- hpmv_strided_batched
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precision: *single_double_precisions_complex
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matrix_size:
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- { N : 33}
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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: hpmv_size_t
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category: stress
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function: hpmv
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precision: *single_precision_complex
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matrix_size: *size_t_index
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pointer_mode_host: false
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uplo: [ U, L ]
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alpha_beta: *alpha_beta_range_small
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os_flags: LINUX
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gpu_arch: ['90a','942','950']
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- name: hpmv_size_t_incx_incy
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category: stress
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function: hpmv
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precision: *single_precision_complex
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matrix_size: *size_t_incx_incy
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pointer_mode_device: false
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uplo: [ U, L ]
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alpha_beta: *alpha_beta_range_small
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os_flags: LINUX
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gpu_arch: ['90a','942','950']
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- name: hpmv_ILP64
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category: stress
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arguments:
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- { N: 2048, incx: 2, incy: -1, batch_count: 2 }
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- { N: 2, incx: 2147483649, incy: 1, batch_count: 1 }
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- { N: 2, incx: 1, incy: 2147483649, batch_count: 1 }
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- { N: 2, 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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- hpmv: *single_precision_complex
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- hpmv_batched: *single_precision_complex
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- hpmv_strided_batched: *single_precision_complex
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- name: hpmv_repeatability_check
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category: stress
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function:
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- hpmv
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- hpmv_batched
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- hpmv_strided_batched
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precision: *single_double_precisions_complex
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matrix_size:
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- { N : 33}
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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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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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...
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