derek.holloway
7502bf64a4
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323 lines
6.6 KiB
YAML
323 lines
6.6 KiB
YAML
---
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include: hipsparselt_common.yaml
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include: known_bugs.yaml
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include: spmm_common_16.yaml
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Definitions:
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- &alpha_beta_range
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- { alpha: 1, beta: 0 }
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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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Tests:
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# Split *real_precisions_1b_input into *int8 and *nonint8_real_precisions. Since int8 has flags 0,1
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- name: compress_small
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category: quick
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function:
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compress: *real_precisions_1b_input
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matrix_size: *small_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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sparse_b: [ true, false]
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- name: compress_medium
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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matrix_size: *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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sparse_b: [ true, false]
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- name: compress_medium_HMM
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category: HMM
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function:
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compress: *real_precisions_1b_input
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matrix_size: *medium_matrix_size_range
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transA: [ N ]
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transB: [ N ]
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alpha: 1
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beta: 1
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HMM: true
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sparse_b: [ true, false]
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- name: compress_chunk
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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matrix_size: *chunk_matrix_size_range
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transA_transB: *transA_transB_range
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alpha: 2
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beta: 3
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sparse_b: [ true, false]
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# Split *int8_half_single_precisions into *int8 and *half_single_precisions. Since int8 has flags 0,1
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- name: compress_deepbench
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category: nightly
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function:
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compress: *real_precisions_1b_input
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matrix_size: *deepbench_sizes
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: resnet50_fwd
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: N
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transB: N
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matrix_size: *resnet50_fwd_sizes
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alpha: 1
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beta: 0
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sparse_b: [ true, false]
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- name: resnet50_bwdwrw
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: T
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transB: N
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matrix_size: *resnet50_bwdwrw_sizes
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alpha: 1
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beta: 1
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sparse_b: [ true, false]
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- name: resnet50_bwddata
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: N
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transB: T
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matrix_size: *resnet50_bwddata_sizes
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alpha: 1
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beta: 0
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sparse_b: [ true, false]
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- name: inception4_fwd
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: N
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transB: N
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matrix_size: *inception4_fwd_sizes
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alpha: 1
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beta: 0
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sparse_b: [ true, false]
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- name: inception4_bwdwrw
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: T
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transB: N
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matrix_size: *inception4_bwdwrw_sizes
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alpha: 1
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beta: 1
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sparse_b: [ true, false]
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- name: inception4_bwddata
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: N
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transB: T
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matrix_size: *inception4_bwddata_sizes
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alpha: 1
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beta: 0
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sparse_b: [ true, false]
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- name: ctest_bwdwrw
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: T
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transB: N
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alpha: 1
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beta: 1
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matrix_size: *ctest_bwdwrw_sizes
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sparse_b: [ true, false]
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- name: ctest_fwd
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category: nightly
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function:
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compress: *real_precisions_1b_input
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transA: N
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transB: N
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alpha: 1
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beta: 0
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matrix_size: *ctest_fwd_sizes
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sparse_b: [ true, false]
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- name: compress_16
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 16
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N: 16
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K: 16
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_32_16_128
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category: nightly
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function:
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compress: *real_precisions_1b_input
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M: [16, 32, 48, 64, 80, 96, 112, 128]
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N: 32
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K: 32
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_48_16_128
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category: nightly
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function:
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compress: *real_precisions_1b_input
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M: 48
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N: [16, 32, 48, 64, 80, 96, 112, 128]
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K: 48
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_64_16_128
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category: nightly
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function:
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compress: *real_precisions_1b_input
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M: 64
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N: 64
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K: [16, 32, 48, 64, 80, 96, 112, 128]
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_64_16_16
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category: quick
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function:
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compress: *real_precisions_1b_input
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M: 64
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N: 16
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K: 16
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_16_64
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category: quick
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function:
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compress: *real_precisions_1b_input
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M: 16
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N: 16
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K: 64
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_96
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 96
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N: 96
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K: 96
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_128
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 128
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N: 128
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K: 128
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_256
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 256
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N: 256
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K: 256
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_256_9_12_16
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 256
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N: 16
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K: 16
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_16_256_16
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 16
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N: 256
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K: 16
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_16_16_256
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 16
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N: 16
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K: 256
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_512
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category: pre_checkin
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function:
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compress: *real_precisions_1b_input
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M: 512
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N: 512
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K: 512
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_1024
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category: nightly
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function:
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compress: *real_precisions_1b_input
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M: [1008, 1024, 1040]
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N: [1008, 1024, 1040]
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K: 1024
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alpha_beta: *alpha_beta_range
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sparse_b: [ true, false]
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transA_transB: *transA_transB_range
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- name: compress_small2
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category: pre_checkin
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transA: N
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transB: N
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function:
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compress: *real_precisions_1b_input
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matrix_size:
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- { M: 512, N: 512, K: 512 }
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- { M: 960, N: 1024, K: 1024 }
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- { M: 1024, N: 1024, K: 1024 }
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sparse_b: [ true, false]
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...
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