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### Description <!-- Describe your changes. --> 1. upgrade cutlass to 3.0 that containing attn_bias support. 2. extend Attention/MHA to use memory efficient attention when rel_pos_bias with [1, num_head, s, s*] and 1d mask with [2 * batch_size + 1] are present. new mask format introduction: MASK_1D_KEY_SEQ_LEN_START, [3 * batch_size + 2] with [key_len[0], ..., key_len[batch_size - 1], query_start[0], ..., query_start[batch_size - 1], query_end[batch_size - 1], key_start[0], ..., key_start[batch_size - 1], key_end[batch_size - 1]] e.g 2D mask with [[1, 1, 1, 0, 0, 0], [1, 1, 1, 1, 1, 0]] converts to this 1D mask is [3, 5, 0, 6, 12, 0, 6, 12] ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> It potentially benefits tnlrv6 and t5(encoder) --------- Co-authored-by: Ubuntu <wy@v100-2.0cdb2e52twzevn1i4fi45bylyg.jx.internal.cloudapp.net> Co-authored-by: Kunal Vaishnavi <kvaishnavi@microsoft.com> Co-authored-by: Kunal Vaishnavi <kvaishnavi@microsoft.com@orttrainingdev7.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net> |
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| .. | ||
| github | ||
| __init__.py | ||
| amd_hipify.py | ||
| build.py | ||
| clean_docker_image_cache.py | ||
| coverage.py | ||
| gen_def.py | ||
| get_docker_image.py | ||
| logger.py | ||
| op_registration_utils.py | ||
| op_registration_validator.py | ||
| patch_manylinux.py | ||
| policheck_exclusions.xml | ||
| reduce_op_kernels.py | ||
| replace_urls_in_deps.py | ||
| requirements.txt | ||
| update_tsaoptions.py | ||
| upload_python_package_to_azure_storage.py | ||