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TheRock/rocm-libraries/projects/rocblas/clients/gtest/her_gtest.yaml
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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

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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
- { N: 2048, lda: 2048, incx: -2097200 } # incx overflow
- &tiny_matrix
- { N: 16, lda: 16 }
- &small_matrix_size_range
- { N: 4, lda: 3 } # invalid lda
- { N: 1, lda: 1 }
- { N: 10, lda: 10 }
- { N: 11, lda: 15 }
- { N: 16, lda: 16 }
- { N: 33, lda: 33 }
- { N: 65, lda: 100 }
- &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: 1, 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: 2012 }
- &large_matrix_size_range
- { N: 2048, lda: 2048 }
- { N: 4011, lda: 4012 }
# These sizes don't test the size_t index support
- &size_t_index
- { N: 23170, lda: 23170, stride_a: 1073744140, stride_x: 23170 }
- &alpha_range
- { alpha: 2.0 }
- { alpha: -1.0 }
- { alpha: 0.0 }
- &alpha_range_small
- { alpha: 4.0 }
Tests:
- name: her_bad_arg
category: quick
function:
- her_bad_arg: *single_double_precisions_complex
- her_batched_bad_arg: *single_double_precisions_complex
- her_strided_batched_bad_arg: *single_double_precisions_complex
api: [ C, FORTRAN, FORTRAN_64 ]
- name: her_arg_check
category: quick
function:
- her
- her_batched
- her_strided_batched
precision: *single_double_precisions_complex
uplo: U
matrix_size: *special_case_range
# Regular her
- name: her_fortran
category: quick
function: her
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *small_matrix_size_range
incx: [ 2 ]
alpha_beta: *alpha_range_small
api: FORTRAN
- name: her_NaN
category: quick
function: her
precision: *single_double_precisions_complex
uplo: [ U ]
matrix_size: *tiny_matrix
incx: [ 1 ]
alpha: [ .NaN ]
- name: her_small
category: quick
function: her
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *small_matrix_size_range
incx: [ -2, 1, 99 ]
alpha_beta: *alpha_range
- name: her_medium
category: pre_checkin
function: her
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *medium_matrix_size_range
pointer_mode_device: false
incx: [ 2 ]
alpha_beta: *alpha_range_small
- name: her_large
category: nightly
function: her
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *large_matrix_size_range
pointer_mode_device: false
incx: [ 1 ]
alpha_beta: *alpha_range_small
- name: her_size_t_n_lda_incx
category: stress
function: her
precision: *single_precision_complex
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
# her_batched
- name: her_batched_fortran
category: quick
function: her_batched
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *small_matrix_size_range
incx: [ 2 ]
alpha_beta: *alpha_range_small
batch_count: [ -1, 0, 3 ]
api: FORTRAN
- name: her_batched_NaN
category: quick
function: her_batched
precision: *double_precision_complex
uplo: [ L ]
matrix_size: *tiny_matrix
incx: [ 1 ]
alpha: [ .NaN ]
batch_count: [ 2 ]
- name: her_batched_small
category: quick
function: her_batched
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *small_matrix_size_range
incx: [ -2, 1, 99 ]
alpha_beta: *alpha_range
batch_count: [ 1, 5 ]
- name: her_batched_medium
category: pre_checkin
function: her_batched
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *medium_matrix_size_range
pointer_mode_host: false
incx: [ 2 ]
alpha_beta: *alpha_range_small
batch_count: [ 1, 3 ]
- name: her_batched_large
category: nightly
function: her_batched
precision: *single_double_precisions_complex
uplo: [ U ]
matrix_size: *large_matrix_size_range
pointer_mode_host: false
incx: [ 1 ]
alpha_beta: *alpha_range_small
batch_count: [ 3 ]
- name: her_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:
- her_batched: *single_precision_complex
- her_strided_batched: *single_precision_complex
stride_scale: 1
# her_strided_batched
- name: her_batched_fortran
category: quick
function: her_batched
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *small_matrix_size_range
incx: [ 2 ]
alpha_beta: *alpha_range_small
batch_count: [ -1, 0, 3 ]
stride_scale: [ 2 ]
api: FORTRAN
- name: her_strided_batched_NaN
category: quick
function: her_strided_batched
precision: *single_precision_complex
uplo: [ U ]
matrix_size: *tiny_matrix
incx: [ 1 ]
alpha: [ .NaN ]
batch_count: [ 2 ]
stride_scale: [ 2 ]
- name: her_strided_batched_small
category: quick
function: her_strided_batched
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *small_matrix_size_range
incx: [ -2, 1, 99 ]
alpha_beta: *alpha_range
stride_scale: [ 2.5 ]
batch_count: [ 5 ]
- name: her_strided_batched_medium
category: pre_checkin
function: her_strided_batched
precision: *single_double_precisions_complex
uplo: [ U, L ]
matrix_size: *medium_matrix_size_range
pointer_mode_host: false
incx: [ 2 ]
alpha_beta: *alpha_range_small
stride_scale: [ 1.0 ]
batch_count: [ 3 ]
- name: her_strided_large
category: nightly
function: her_strided_batched
precision: *single_double_precisions_complex
uplo: [ L ]
matrix_size: *large_matrix_size_range
pointer_mode_device: false
incx: [ 1 ]
alpha_beta: *alpha_range_small
stride_scale: [ 1.0 ]
batch_count: [ 3 ]
- name: her_size_t_M
category: stress
function:
- her: *single_precision_complex
# shared code for size_t with non-batched
#- her_batched: *single_precision_complex
#- her_strided_batched: *single_precision_complex
uplo: [ U ]
matrix_size: *size_t_index
pointer_mode_device: false
incx: [ 1 ]
alpha_beta: *alpha_range_small
gpu_arch: ['90a','942','950']
os_flags: LINUX
- name: her_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: 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:
- her: *single_precision_complex
- her_batched: *single_precision_complex
- her_strided_batched: *single_precision_complex
- name: her_graph_test
category: pre_checkin
function:
- her
- her_batched
- her_strided_batched
precision: *single_double_precisions_complex
matrix_size:
- { N: 33, lda: 33 }
uplo: [ U ]
incx: [ 1 ]
alpha: [ 2.0 ]
stride_scale: [ 1 ]
batch_count: [ 5 ]
graph_test: true
- name: her_repeatability_check
category: stress
function:
- her
- her_batched
- her_strided_batched
precision: *single_double_precisions_complex
matrix_size:
- { N: 33, lda: 33 }
uplo: [ U ]
incx: [ 1 ]
alpha: [ 2.0 ]
stride_scale: [ 1 ]
batch_count: [ 2 ]
initialization: hpl
iters: 5
atomics_mode : 0
pointer_mode_host: false
devices: 4
repeatability_check: true
...
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