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

688 lines
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YAML

# Data types are defined as either aliases to Python-recognized ctypes,
# or enums defined with c_int base classes and attributes.
Datatypes:
- rocblas_int: c_int
- rocblas_datatype:
bases: [ c_uint32 ]
attr:
f16_r: 150
f32_r: 151
f64_r: 152
f16_c: 153
f32_c: 154
f64_c: 155
i8_r: 160
u8_r: 161
i32_r: 162
u32_r: 163
i8_c: 164
u8_c: 165
i32_c: 166
u32_c: 167
bf16_r: 168
bf16_c: 169
- { half: f16_r, single: f32_r, double: f64_r }
- { half complex: f16_c, single complex: f32_c, double complex: f64_c }
- rocblas_initialization:
bases: [ c_uint32 ]
attr:
rand_int: 111
trig_float: 222
hpl: 333
denorm: 444
denorm2: 555
rand_int_zero_one: 666
zero: 777
- rocblas_gemm_flags:
bases: [ c_uint32 ]
attr:
none: 0
use_cu_efficiency: 2
fp16_alt_impl: 4
check_solution_index: 8
fp16_alt_impl_rnz: 16
stochastic_rounding: 32
- rocblas_geam_ex_operation:
bases: [ c_uint32 ]
attr:
rocblas_geam_ex_operation_min_plus: 0
rocblas_geam_ex_operation_plus_min: 1
- rocblas_atomics_mode:
bases: [ c_uint32 ]
attr:
atomics_not_allowed: 0
atomics_allowed: 1
# match client argument_model.hpp enum values
- rocblas_client_os:
bases: [ c_uint32 ]
attr:
LINUX: 1
WINDOWS: 2
ALL: 3
# match client argument_model.hpp enum values
- rocblas_api:
bases: [ c_uint32 ]
attr:
C: 0
C_64: 1
FORTRAN: 2
FORTRAN_64: 3
INTERNAL: 4
INTERNAL_64: 5
Common threads and streams: &common_threads_streams
- { threads: 0, streams: 0}
# - { threads: 0, streams: 1 }
# - { threads: 1, streams: 0 }
# - { threads: 3, streams: 3 }
# - { threads: 5, streams: 5 }
Real precisions: &real_precisions
- &half_precision
{ a_type: f16_r, b_type: f16_r, c_type: f16_r, d_type: f16_r, compute_type: f16_r }
- &hpa_half_precision
{ a_type: f16_r, b_type: f16_r, c_type: f16_r, d_type: f16_r, compute_type: f32_r }
- &hpa_half_in_single_out_precision
{ a_type: f16_r, b_type: f16_r, c_type: f32_r, d_type: f32_r, compute_type: f32_r }
- &single_precision
{ a_type: f32_r, b_type: f32_r, c_type: f32_r, d_type: f32_r, compute_type: f32_r }
- &double_precision
{ a_type: f64_r, b_type: f64_r, c_type: f64_r, d_type: f64_r, compute_type: f64_r }
- &int8_precision
{ a_type: i8_r, b_type: i8_r, c_type: i32_r, d_type: i32_r, compute_type: i32_r }
- &bf16_precision
{ a_type: bf16_r, b_type: bf16_r, c_type: bf16_r, d_type: bf16_r, compute_type: bf16_r }
- &hpa_bf16_precision
{ a_type: bf16_r, b_type: bf16_r, c_type: bf16_r, d_type: bf16_r, compute_type: f32_r }
- &alpha_f32_hpa_bf16_precision
{ a_type: f32_r, b_type: bf16_r, c_type: bf16_r, d_type: bf16_r, compute_type: f32_r }
- &hpa_bf16_in_single_out_precision
{ a_type: bf16_r, b_type: bf16_r, c_type: f32_r, d_type: f32_r, compute_type: f32_r }
- &hpa_half_float_alpha
{ a_type: f32_r, b_type: f16_r, c_type: f16_r, d_type: f16_r, compute_type: f32_r }
- &single_in_double_out_precision
{ a_type: f32_r, b_type: f32_r, c_type: f64_r, d_type: f64_r, compute_type: f64_r }
C precisions: &single_double_precisions
- *single_precision
- *double_precision
Short simple precisions: &half_single_precisions
- *half_precision
- *single_precision
Short precisions: &int8_half_single_precisions
- *int8_precision
- *half_precision
- *single_precision
ML precisions: &hpa_half_single_precisions
- *hpa_half_precision
- *hpa_half_in_single_out_precision
- *half_precision
- *single_precision
Non-int precisions: &hpa_half_single_double_precisions
- *hpa_half_precision
- *hpa_half_in_single_out_precision
- *half_precision
- *single_precision
- *double_precision
Non-int8 Real precisions: &nonint8_real_precisions
- *hpa_half_precision
- *hpa_half_in_single_out_precision
- *half_precision
- *single_precision
- *double_precision
- *bf16_precision
- *hpa_bf16_precision
- *hpa_bf16_in_single_out_precision
- *hpa_half_float_alpha
Simple precisions: &half_single_double_precisions
- *half_precision
- *single_precision
- *double_precision
Complex precisions: &complex_precisions
# don't define until required
#- &half_precision_complex
# { a_type: f16_c, b_type: f16_c, c_type: f16_c, d_type: f16_c, compute_type: f16_c }
#- &hpa_half_precision_complex
# { a_type: f16_c, b_type: f16_c, c_type: f16_c, d_type: f16_c, compute_type: f32_c }
- &single_precision_complex
{ a_type: f32_c, b_type: f32_c, c_type: f32_c, d_type: f32_c, compute_type: f32_c }
- &double_precision_complex
{ a_type: f64_c, b_type: f64_c, c_type: f64_c, d_type: f64_c, compute_type: f64_c }
#- &int8_precision_complex
# { a_type: i8_c, b_type: i8_c, c_type: i32_c, d_type: i32_c, compute_type: i32_c }
- &hpa_bf16_precision_complex
{ a_type: bf16_c, b_type: bf16_c, c_type: bf16_c, d_type: bf16_c, compute_type: f32_c }
# no half or less complex required yet
#Half Precision complex and real: &half_precision_complex_real
# - *half_precision
# - *half_precision_complex
#Hpa Half Precision complex and real: &hpa_half_precision_complex_real
# - *hpa_half_precision
# - *hpa_half_in_single_out_precision
# - *hpa_half_precision_complex
Single Precision complex and real: &single_precision_complex_real
- *single_precision
- *single_precision_complex
Double Precision complex and real: &double_precision_complex_real
- *double_precision
- *double_precision_complex
# int8 Precision complex and real: &int8_precision_complex_real
# - *int8_precision
# - *int8_precision_complex
hpabf16 Precision complex and real: &hpa_bf16_precision_complex_real
- *hpa_bf16_precision
- *hpa_bf16_in_single_out_precision
- *hpa_bf16_precision_complex
C precisions complex: &single_double_precisions_complex
- *single_precision_complex
- *double_precision_complex
C precisions complex and real: &single_double_precisions_complex_real
- *single_precision
- *double_precision
- *single_precision_complex
- *double_precision_complex
Short simple precisions complex and real: &half_single_precisions_complex_real
- *half_precision
- *single_precision
# - *half_precision_complex
- *single_precision_complex
Short precisions complex and real: &int8_half_single_precisions_complex_real
- *int8_precision
- *half_precision
- *single_precision
# - *int8_precision_complex
# - *half_precision_complex
- *single_precision_complex
ML precisions complex and real: &hpa_half_single_precisions_complex_real
- *hpa_half_precision
- *hpa_half_in_single_out_precision
- *half_precision
- *single_precision
# - *hpa_half_precision_complex
# - *half_precision_complex
- *single_precision_complex
Non-int precisions complex and real: &hpa_half_single_double_precisions_complex_real
- *hpa_half_precision
- *hpa_half_in_single_out_precision
- *half_precision
- *single_precision
- *double_precision
# - *hpa_half_precision_complex
# - *half_precision_complex
- *single_precision_complex
- *double_precision_complex
Simple precisions complex and real: &half_single_double_precisions_complex_real
- *half_precision
- *single_precision
- *double_precision
# - *half_precision_complex
- *single_precision_complex
- *double_precision_complex
#############################################################################################################
# Used for gemv_batched and gemv_strided_batched #
# Special test cases are added to test gemv_batched and gemv_strided_batched for types HSH, HSS, TST, TSS #
#############################################################################################################
gemv batched and strided batched: &gemv_bfloat_half_single_double_complex_real_precisions
- *single_precision
- *double_precision
- *single_precision_complex
- *double_precision_complex
- *hpa_bf16_precision
- *hpa_bf16_in_single_out_precision
- *hpa_half_precision
- *hpa_half_in_single_out_precision
#############################################
# Used for Scal #
#############################################
# scal order mapping is x, alpha
scal Joined precisions: &scal_complex_real_alpha_complex_out
- &scal_single_precision_complex_real_alpha_complex_out
{ a_type: f32_c, b_type: f32_r, c_type: f32_c, d_type: f32_c, compute_type: f32_c }
- &scal_double_precision_complex_real_alpha_complex_out
{ a_type: f64_c, b_type: f64_r, c_type: f64_c, d_type: f64_c, compute_type: f64_c }
scal Single double joined: &scal_single_double_complex_real_alpha_complex_out
- *scal_single_precision_complex_real_alpha_complex_out
- *scal_double_precision_complex_real_alpha_complex_out
#############################################
# Used for Scal_ex #
#############################################
# scal_ex order mapping is alpha, x, y, o, compute
scal_ex precisions: &scal_ex_complex_real_alpha_complex_out
- &scal_ex_single_precision_complex_real_alpha_complex_out
{ a_type: f32_r, b_type: f32_c, c_type: f32_c, d_type: f32_c, compute_type: f32_c }
- &scal_ex_double_precision_complex_real_alpha_complex_out
{ a_type: f64_r, b_type: f64_c, c_type: f64_c, d_type: f64_c, compute_type: f64_c }
scal_ex Single double joined: &scal_ex_single_double_complex_real_alpha_complex_out
- *scal_ex_single_precision_complex_real_alpha_complex_out
- *scal_ex_double_precision_complex_real_alpha_complex_out
Hpa bfloat half single double complex real: &scal_ex_bfloat_half_single_double_complex_real_precisions
- *single_precision
- *double_precision
- *single_precision_complex
- *double_precision_complex
- *hpa_half_precision
- *half_precision
- *hpa_half_float_alpha
- *hpa_bf16_precision
- *alpha_f32_hpa_bf16_precision
#############################################
# Used for rot* and nrm2_ex #
#############################################
Complex real mixed: &complex_real_mixed
- &single_precision_complex_real_in_complex_compute
{ a_type: f32_c, b_type: f32_r, c_type: f32_c, d_type: f32_c, compute_type: f32_c }
- &double_precision_complex_real_in_complex_compute
{ a_type: f64_c, b_type: f64_r, c_type: f64_c, d_type: f64_c, compute_type: f64_c }
- &single_precision_complex_real_in_real_compute
{ a_type: f32_c, b_type: f32_r, c_type: f32_c, d_type: f32_c, compute_type: f32_r }
- &double_precision_complex_real_in_real_compute
{ a_type: f64_c, b_type: f64_r, c_type: f64_c, d_type: f64_c, compute_type: f64_r }
- &single_precision_complex_real_c
{ a_type: f32_c, b_type: f32_c, c_type: f32_r, d_type: f32_c, compute_type: f32_c }
- &double_precision_complex_real_c
{ a_type: f64_c, b_type: f64_c, c_type: f64_r, d_type: f64_c, compute_type: f64_c }
rot precisions: &rot_precisions
- *single_precision
- *double_precision
- *single_precision_complex_real_in_complex_compute
- *single_precision_complex_real_in_real_compute
- *double_precision_complex_real_in_complex_compute
- *double_precision_complex_real_in_real_compute
rot_ex precisions: &rot_ex_precisions
- *single_precision
- *double_precision
- *single_precision_complex
- *double_precision_complex
- *hpa_half_precision
- *hpa_bf16_precision
- *single_precision_complex_real_c
- *double_precision_complex_real_c
rotg precisions: &rotg_precisions
- *single_precision
- *double_precision
- *single_precision_complex_real_in_complex_compute
- *double_precision_complex_real_in_complex_compute
#############################################
# Used for Dot (quick) #
#############################################
Half bfloat single double complex real: &half_bfloat_single_double_complex_real_precisions
- *half_precision
- *hpa_bf16_precision
- *hpa_bf16_in_single_out_precision
- *single_precision
- *double_precision
# - *half_precision_complex
- *single_precision_complex
- *double_precision_complex
Half bfloat single double mixed complex real: &dot_ex_precisions
- *half_precision
- *hpa_bf16_precision
- *hpa_bf16_in_single_out_precision
- *single_precision
- *double_precision
# - *half_precision_complex
- *single_precision_complex
- *double_precision_complex
- *single_in_double_out_precision
#############################################
# Used for Dot (algo=1) #
#############################################
Half bfloat single double complex real: &bfloat_single_double_complex_real_precisions
- *hpa_bf16_precision
- *hpa_bf16_in_single_out_precision
- *single_precision
- *double_precision
- *single_precision_complex
- *double_precision_complex
####################################################
# Used for gemm_batched and gemm_strided_batched #
#####################################################
Hpa single double complex real: &half_single_double_complex_real_precisions
- *hpa_half_float_alpha
- *single_precision
- *double_precision
- *single_precision_complex
- *double_precision_complex
- *hpa_half_precision
- *hpa_half_in_single_out_precision
- *half_precision
#############################################
# Used for axpy_ex #
#############################################
Hpa bfloat half single double complex real: &bfloat_half_single_double_complex_real_precisions
- *hpa_bf16_precision
- *alpha_f32_hpa_bf16_precision
- *hpa_half_float_alpha
- *single_precision
- *double_precision
- *single_precision_complex
- *double_precision_complex
- *hpa_half_precision
- *hpa_half_in_single_out_precision
- *half_precision
#############################################
# Used for nrm2_ex #
#############################################
nrm2_ex precisions: &nrm2_ex_precisions
- &half_precision_nrm2
{ a_type: f16_r, b_type: f16_r, c_type: f32_r, d_type: f32_r, compute_type: f32_r }
- &bfloat_precision_nrm2
{ a_type: bf16_r, b_type: bf16_r, c_type: f32_r, d_type: f32_r, compute_type: f32_r }
- *single_precision
- *double_precision
- *single_precision_complex_real_in_real_compute
- *double_precision_complex_real_in_real_compute
nrm2_ex precisions double: &nrm2_ex_precisions_double
- *double_precision
- *double_precision_complex_real_in_real_compute
#############################################
# Used for syrk_ex #
#############################################
syrk_ex_precisions: &syrk_ex_precisions
- &half_precision_real_out_compute_syrk_ex
{ a_type: f16_r, b_type: f16_r, c_type: f32_r, d_type: f32_r, compute_type: f32_r }
- &bfloat_precision_real_out_compute_syrk_ex
{ a_type: bf16_r, b_type: bf16_r, c_type: f32_r, d_type: f32_r, compute_type: f32_r }
- &half_precision_real_compute_syrk_ex
{ a_type: f16_r, b_type: f16_r, c_type: f16_r, d_type: f16_r, compute_type: f32_r }
- &bfloat_precision_real_compute_syrk_ex
{ a_type: bf16_r, b_type: bf16_r, c_type: bf16_r, d_type: bf16_r, compute_type: f32_r }
- &float_precision_double_compute_syrk_ex
{ a_type: f32_r, b_type: f32_r, c_type: f32_r, d_type: f32_r, compute_type: f64_r }
- &float_precision_double_out_compute_syrk_ex
{ a_type: f32_r, b_type: f32_r, c_type: f64_r, d_type: f64_r, compute_type: f64_r }
#############################################
# Used for herk_ex #
#############################################
herk_ex_precisions: &herk_ex_precisions
- &float_precision_double_compute_herk_ex
{ a_type: f32_c, b_type: f32_c, c_type: f32_c, d_type: f32_c, compute_type: f64_c }
- &float_precision_double_out_compute_herk_ex
{ a_type: f32_c, b_type: f32_c, c_type: f64_c, d_type: f64_c, compute_type: f64_c }
Definitions:
# blas1 common test args
- &blas1_nan_common_args
N: [ 5 ]
batch_count: [ 3 ]
incx: [ 1, 2 ]
incy: [ 2, 1 ]
alpha: .NaN
stride_scale: [ 1 ]
- &blas1_graph_test_common_args
N: [ 20000 ]
batch_count: [ 3 ]
incx: [ 1 ]
incy: [ 1 ]
alpha: [ 1 ]
stride_scale: [ 1 ]
graph_test: true
- &blas1_repeatability_incx_incy
- { incx: 1, incy: 1 }
- { incx: -3, incy: -3 }
- &blas1_repeatability_common_args
N: [ -1, 0, 5, 10, 500, 1000, 1024, 1025, 7111, 10000, 33792 ]
incx_incy: *blas1_repeatability_incx_incy
batch_count: [2]
stride_scale: [ 1 ]
alpha: 0.5
beta: 0.5
initialization: hpl
iters: 5
pointer_mode_host: false
devices: 4
repeatability_check: true
atomics_mode: 0
# scan extension applied by Arguments class
- &c_scan_value
- [-999]
- &c_scan_value_2
- [-998]
# scan extension applied by Arguments class
- &c_gemm_test_all_solutions_returned
- [-3] # match definitions.hpp
# int64 API testing constants
- &c_pos_overflow_int32
- [4294967296]
- &c_neg_overflow_int32
- [-4294967296]
- &c_pos_x2_overflow_int32
- [1073741825]
- &c_neg_x2_overflow_int32
- [-1073741825]
- &c_pos_x32_overflow_int32
- [67108865] # (67108865 - 1) x 32 will overflow to sign bit
- &c_grid_yz_require_passes
- [65539] # force looping over y/z chunks near grid limit. TODO track constant c_i64_grid_YZ_chunk in int64_helpers.hpp
- &c_grid_x_require_passes
- [268435459] # force looping over x chunks 268435456. TODO track constant c_i64_grid_X_chunk in int64_helpers.hpp
# The Arguments struct passed directly to C++. See rocblas_arguments.hpp.
# The order of the entries is significant, so it can't simply be a dictionary.
# The types on the RHS are eval'd for Python-recognized types including ctypes
# and datatypes defined in Datatypes above. T*n represents array of length n.
Arguments:
- function: c_char*64
- name: c_char*64
- category: c_char*64
- known_bug_platforms: c_char*64
- alpha: c_double
- alphai: c_double
- beta: c_double
- betai: c_double
- stride_a: c_int64
- stride_b: c_int64
- stride_c: c_int64
- stride_d: c_int64
- stride_x: c_int64
- stride_y: c_int64
- user_allocated_workspace: c_size_t
- M: c_int64
- N: c_int64
- K: c_int64
- KL: c_int64
- KU: c_int64
- lda: c_int64
- ldb: c_int64
- ldc: c_int64
- ldd: c_int64
- incx: c_int64
- incy: c_int64
- batch_count: c_int64
- scan: c_int64
- scan_2: c_int64
- iters: c_int32
- cold_iters: c_int32
- algo: c_uint32
- solution_index: c_int32
- geam_op: rocblas_geam_ex_operation
- flags: rocblas_gemm_flags
- a_type: rocblas_datatype
- b_type: rocblas_datatype
- c_type: rocblas_datatype
- d_type: rocblas_datatype
- compute_type: rocblas_datatype
- initialization: rocblas_initialization
- atomics_mode: rocblas_atomics_mode
- os_flags: rocblas_client_os
- gpu_arch: c_char*4
- api: rocblas_api
- pad: c_uint32
- math_mode: c_uint32
- flush_batch_count: c_uint64
- flush_memory_size: c_uint64
- threads: c_uint16
- streams: c_uint16
- devices: c_uint8
- norm_check: c_int8
- unit_check: c_int8
- res_check: c_int8
- timing: c_int8
- transA: c_char
- transB: c_char
- side: c_char
- uplo: c_char
- diag: c_char
- pointer_mode_host: c_bool
- pointer_mode_device: c_bool
- stochastic_rounding: c_bool
- c_noalias_d: c_bool
- outofplace: c_bool
- HMM: c_bool
- graph_test: c_bool
- repeatability_check: c_bool
- alpha_beta_stride: c_bool
- use_hipblaslt: c_int32
- cleanup: c_bool
# These named dictionary lists [ {dict1}, {dict2}, etc. ] supply subsets of
# test arguments in a structured way. The dictionaries are applied to the test
# one at a time, to generate combinations. If one of this table's entries is
# a dictionary of size one, it means that the argument named by its key takes
# on values paired with argument named by its value. For example:
#
# - function: precision
#
# when used with the code:
#
# function:
# func1: prec1
# func2: prec2
# func3: prec3
#
# causes (function, precision) to take on the values (func1, prec1),
# (func2, prec2), (func3, prec3), etc.
Dictionary lists to expand:
- arguments
- transA_transB
- alpha_beta
- alphai_betai
- incx_incy
- matrix_size
- precision
- function: precision
- threads_streams
# In case an array argument needs to be passed directly to C as an array,
# it needs to be listed here to avoid being expanded into multiple test
# cases with each of its elements.
Lists to not expand:
- e.g., an array argument not to be expanded
# Defaults
Defaults:
M: 128
N: 128
K: 128
KL: 128
KU: 128
incx: 0
incy: 0
alpha: 1.0
alphai: 0.0
beta: 0.0
betai: 0.0
transA: '*'
transB: '*'
side: '*'
uplo: '*'
diag: '*'
batch_count: 1
scan: *c_scan_value
scan_2: *c_scan_value_2
HMM: false
pad: 4096
math_mode: 0
flush_batch_count: 1
flush_memory_size: 0
threads: 0
streams: 0
devices: 0
os_flags: ALL
gpu_arch: ''
api: C
graph_test: false
repeatability_check: false
alpha_beta_stride: false
norm_check: 0
unit_check: 1
res_check: 0
timing: 0
iters: 10
cold_iters: 2
algo: 0
solution_index: 0
geam_op: rocblas_geam_ex_operation_min_plus
flags: none
atomics_mode: atomics_not_allowed
initialization: rand_int
category: nightly
known_bug_platforms: ''
name: rocblas-bench
pointer_mode_host: true
pointer_mode_device: true
stochastic_rounding: false
c_noalias_d: false
outofplace: false
user_allocated_workspace: 0
compute_type: -1
use_hipblaslt: -1
cleanup: true