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---
include: rocblas_common.yaml
include: known_bugs.yaml
Definitions:
- &invalid_matrix_size_range
- { N: -1, K: 1, lda: 1, ldb: 1, ldc: 1 } # bad n
- { N: 2, K: -1, lda: 2, ldb: 2, ldc: 1 } # bad k
- { N: 0, K: 3, lda: 3, ldb: 3, ldc: 3 } # n==0
- { N: 3, K: 0, lda: 3, ldb: 3, ldc: 3 } # k==0
- { N: 3, K: 1, lda: 1, ldb: 3, ldc: 3 } # bad lda if not transpose
- { N: 1, K: 3, lda: 1, ldb: 3, ldc: 3 } # bad lda if transpose
- { N: 1, K: 3, lda: 3, ldb: 1, ldc: 3 } # bad ldb if not transpose
- { N: 3, K: 1, lda: 3, ldb: 1, ldc: 3 } # bad ldb if transpose
- { N: 3, K: 3, lda: 3, ldb: 3, ldc: 1 } # bad ldc
- &tiny_matrix_size
- { N: 199, K: 32, lda: 199, ldb: 199, ldc: 199 }
- &medium_matrix_size_range
- { N: 88, K: 200, lda: 200, ldb: 200, ldc: 88 }
- { N: 64, K: 70, lda: 128, ldb: 128, ldc: 64 }
- { N: 199, K: 290, lda: 290, ldb: 290, ldc: 200 }
- &large_matrix_size_range
- { N: 2011, K: 1233, lda: 2011, ldb: 2011, ldc: 2048 }
- { N: 3024, K: 3200, lda: 3300, ldb: 3300, ldc: 3300 }
- &alpha_beta_range
- { alpha: 1.5, alphai: 1.5, beta: 0.0, betai: 0.0 }
- { alpha: -2.0, alphai: 1.0, beta: -1.0, betai: 0.5 }
- { alpha: 0.0, alphai: 0.0, beta: 1.0, betai: 0.0 } # quick success
- { alpha: 0.0, alphai: 0.0, beta: 2.0, betai: 0.5 } # scale step only
- &alpha_beta
- { alpha: -2.0, alphai: 1.5, beta: -0.5, betai: 0.5 }
Tests:
- name: gemmt_bad
category: quick
function: gemmt_bad_arg
precision: *single_double_precisions_complex_real
api: [ C, FORTRAN ]
- name: gemmt_NaN
category: pre_checkin
function: gemmt
precision: *single_double_precisions_complex_real
uplo: [ U ]
transA: [ N ]
transB: [ T ]
matrix_size: *tiny_matrix_size
alpha: [ 2.0, .NaN ] # NaN is converted to 0.0 in test code
beta: [ 1.0, .NaN ]
- name: gemmt_invalid_size
category: quick
function: gemmt
precision: *single_double_precisions_complex_real
uplo: [ L ]
transA: [ C ]
transB: [ C ]
matrix_size: *invalid_matrix_size_range
alpha_beta: *alpha_beta
batch_count: [ 1 ]
api: [ C, FORTRAN ]
- name: gemmt_medium_matrix
category: pre_checkin
function: gemmt
precision: *single_double_precisions_complex_real
uplo: [ U, L ]
transA: [ T, C ]
transB: [ N, C ]
matrix_size: *medium_matrix_size_range
alpha_beta: *alpha_beta
batch_count: [ 1 ]
- name: gemmt_large
category: nightly
function: gemmt
precision: *single_double_precisions_complex_real
uplo: [ U ]
transA: [ N, T ]
transB: [ N, C ]
matrix_size: *large_matrix_size_range
alpha_beta: *alpha_beta
- name: gemmt_size_t
category: stress
function: gemmt
precision: *single_precision
uplo: [ U, L ] # op(A) and op(B) are NxK
matrix_size:
- { transA: N, transB: N, N: 3, K: 46975, lda: 3, ldb: 46975, ldc: 3 }
- { transA: N, transB: T, N: 3, K: 46975, lda: 3, ldb: 46975, ldc: 3 }
- { transA: T, transB: N, N: 46975, K: 4, lda: 4, ldb: 4, ldc: 46975}
alpha_beta:
- { alpha: 0.5, beta: 0.5 }
batch_count: [ 1 ]
pointer_mode_host: false
gpu_arch: ['90a','942','950']
os_flags: LINUX
- name: gemmt_ILP64
category: stress
uplo: [ U , L ] # op(A) and op(B) are NxK
matrix_size:
- { N: 35, K: 2, lda: 2147483649, ldb: 36, ldc: 36, batch_count: 1, transA: N, transB: N, uplo: U }
- { N: 35, K: 2, lda: 36, ldb: 2147483649, ldc: 36, batch_count: 1, transA: T, transB: T, uplo: L }
- { N: 2, K: 35, lda: 36, ldb: 36, ldc: 2147483649, batch_count: 1, transA: T, transB: T, uplo: U }
- { N: 2, K: 2, lda: 2, ldb: 2, ldc: 2, batch_count: *c_grid_yz_require_passes, transA: N, transB: T, uplo: L}
- { N: 3, K: 469, lda: 3, ldb: 469, ldc: 3, transA: N, transB: N, uplo: U }
api: [ C_64 ]
alpha_beta:
- { alpha: 1.0, beta: 1.0 }
os_flags: [ LINUX ]
function:
- gemmt_strided_batched: *single_precision
stride_scale: 1
gpu_arch: '9??'
# batched
- name: gemmt_batched_bad
category: quick
function: gemmt_batched_bad_arg
precision: *single_double_precisions_complex_real
api: [ C, FORTRAN ]
- name: gemmt_batched_quick
category: quick
function: gemmt_batched
precision: *single_double_precisions_complex_real
uplo: [ U ]
transA: [ T, C ]
transB: [ N, C ]
matrix_size: *tiny_matrix_size
alpha: [ 0, 1 ]
beta: [ 0, 1 ]
batch_count: [ 0, 1 ]
- name: gemmt_batched_NaN
category: pre_checkin
function: gemmt_batched
precision: *single_double_precisions_complex_real
uplo: [ L ]
transA: [ N, T ]
transB: [ N, C ]
matrix_size: *tiny_matrix_size
alpha: [ 2.0, .NaN ] # NaN is converted to 0.0 in test code
beta: [ 1.0, .NaN ]
batch_count: [ 2 ]
- name: gemmt_batched_medium
category: pre_checkin
function: gemmt_batched
precision: *single_double_precisions_complex_real
uplo: [ U, L ]
transA: [ T ]
transB: [ N ]
matrix_size: *medium_matrix_size_range
alpha_beta: *alpha_beta_range
batch_count: [ 1, 4 ]
api: [ C, FORTRAN ]
- name: gemmt_batched_large
category: nightly
function: gemmt_batched
precision: *single_double_precisions_complex_real
uplo: [ U ]
transA: [ N ]
transB: [ T ]
matrix_size: *large_matrix_size_range
alpha_beta: *alpha_beta
batch_count: [ 2 ]
- name: gemmt_batched_ILP64 # TODO: add tests for K, lda, ldb, ldc > int32_t_max
category: stress
api: [C_64]
function: gemmt_batched
precision: *single_precision
uplo: [ U ] # op(A) and op(B) are NxK
matrix_size:
- { transA: N, transB: N, N: 3, K: 469 , lda: 3, ldb: 469 , ldc: 3 }
alpha_beta:
- { alpha: 0.5, beta: 0.5 }
batch_count: [ 65536 ]
pointer_mode_host: false
os_flags: LINUX
# strided batched
- name: gemmt_strided_batched_bad
category: quick
function: gemmt_strided_batched_bad_arg
precision: *single_double_precisions_complex_real
api: [ C, FORTRAN ]
- name: gemmt_strided_batched_quick
category: quick
function: gemmt_strided_batched
precision: *single_precision
uplo: [ U ]
transA: [ N, T, C ]
transB: [ N, T, C ]
matrix_size: *tiny_matrix_size
alpha: [ 0, 1 ]
beta: [ 0, 1 ]
batch_count: [ 0, 1 ]
- name: gemmt_strided_batched_NaN
category: pre_checkin
function: gemmt_strided_batched
precision: *double_precision
uplo: [ U ]
transA: [ T ]
transB: [ N ]
matrix_size: *tiny_matrix_size
alpha: [ 2.0, .NaN ] # NaN is converted to 0.0 in test code
beta: [ 1.0, .NaN ]
batch_count: [ 3 ]
- name: gemmt_strided_batched_medium
category: pre_checkin
function: gemmt_strided_batched
precision: *single_double_precisions_complex_real
uplo: [ U, L ]
transA: [ N, T, C ]
transB: [ N, T, C ]
matrix_size: *medium_matrix_size_range
alpha_beta: *alpha_beta_range
batch_count: [ 3 ]
api: [ C, FORTRAN ]
- name: gemmt_strided_batched_large
category: nightly
function: gemmt_strided_batched
precision: *single_double_precisions_complex_real
uplo: [ L ]
transA: [ T ]
transB: [ N ]
matrix_size: *large_matrix_size_range
alpha_beta: *alpha_beta
batch_count: [ 2 ]
- name: gemmt_large_batch
category: stress
function:
- gemmt_batched
- gemmt_strided_batched
precision: *single_precision
uplo: [ L ]
transA: [ T ]
transB: [ N ]
matrix_size:
- { N: 3, K: 3, lda: 3, ldb: 3, ldc: 3, batch_count: *c_grid_yz_require_passes }
alpha_beta:
- { alpha: 0.5, beta: 0.5 }
- name: gemmt_strided_batched_ILP64 # TODO: add tests for K, lda, ldb, ldc > int32_t_max
category: stress
api: [C_64]
function: gemmt_strided_batched
precision: *single_precision
uplo: [ U ] # op(A) and op(B) are NxK
matrix_size:
- { transA: N, transB: N, N: 3, K: 469 , lda: 3, ldb: 469 , ldc: 3 }
alpha_beta:
- { alpha: 0.5, beta: 0.5 }
batch_count: [ 65536 ]
pointer_mode_host: false
os_flags: LINUX
- name: gemmt_graph_test
category: pre_checkin
function:
- gemmt
- gemmt_batched
- gemmt_strided_batched
precision: *single_double_precisions_complex_real
uplo: [ L ]
transA: [ T ]
transB: [ N ]
matrix_size:
- { N: 199, K: 290, lda: 290, ldb: 290, ldc: 200 }
batch_count: [ 2 ]
alpha_beta: *alpha_beta_range
graph_test: true
- name: gemmt_repeatability_check
category: stress
function:
- gemmt
- gemmt_batched
- gemmt_strided_batched
precision: *single_double_precisions_complex_real
uplo: [ L ]
transA: [ T ]
transB: [ N ]
matrix_size:
- { N: 199, K: 290, lda: 290, ldb: 290, ldc: 200 }
batch_count: [ 2 ]
alpha_beta: *alpha_beta_range
atomics_mode: 0
iters: 5
initialization: hpl
devices: 4
repeatability_check: true
...
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