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112 lines
2.5 KiB
YAML
112 lines
2.5 KiB
YAML
---
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include: hipsparselt_common.yaml
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include: known_bugs.yaml
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include: spmm_batched_common.yaml
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Definitions:
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- &transA_transB_range
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- { transA: N, transB: N }
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- { transA: T, transB: T }
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- &alpha_beta_range
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- { alpha: 1.0, beta: 0.0 }
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Tests:
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- name: prune_batched_algorithm_real_coverage
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category: pre_checkin
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_algorithm_coverage_matrix_size_range
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transA_transB: *transA_transB_range
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alpha_beta: *alpha_beta_range
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batch_count: [ 1, 3 ]
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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- name: prune_batched_small
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category: quick
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_small_matrix_size_range
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alpha_beta: *alpha_beta_range
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transA_transB: *transA_transB_range
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batch_count: [ 1, 3 ]
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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- name: prune_batched_medium
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category: pre_checkin
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_medium_matrix_size_range
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transA_transB: *transA_transB_range
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alpha_beta: *alpha_beta_range
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batch_count: [ 1, 3 ]
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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- name: prune_batched_large
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category: pre_checkin
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_large_matrix_size_range
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transA_transB: *transA_transB_range
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alpha_beta: *alpha_beta_range
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batch_count: [ 1, 3 ]
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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- name: prune_batched_deepbench
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category: nightly
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_deepbench_vec
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alpha: 1.0
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beta: 0.0
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transA: N
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transB: T
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batch_count: [ 2 ]
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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- name: prune_batched_conv_resnet50_bwddata
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category: nightly
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_conv_resnet50_bwddata
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alpha: 1.0
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beta: 0.0
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transA: N
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transB: T
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batch_count: 4
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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- name: prune_batched_conv_inception4_bwddata
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category: nightly
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_conv_inception4_bwddata
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alpha: 1.0
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beta: 0.0
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transA: N
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transB: T
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batch_count: 4
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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- name: prune_batched_conv_ctest_fwd
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category: nightly
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function:
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- prune_batched: *real_precisions_2b
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matrix_size: *batched_conv_ctest_fwd
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alpha: 1.0
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beta: 0.0
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transA: N
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transB: N
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batch_count: 1
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prune_algo: [ 0, 1 ]
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sparse_b: [ true, false]
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...
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