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