onnxruntime/cmake/patches
Ye Wang 2ee822d483
Extend memory efficient attention coverage in Attention/MHA cuda op (#15064)
### 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>
2023-03-23 11:05:17 -07:00
..
abseil Update absl to the latest release (#13990) 2022-12-19 14:25:13 -08:00
composable_kernel ROCm Flash Attention (#14838) 2023-03-16 10:39:58 +08:00
cutlass Extend memory efficient attention coverage in Attention/MHA cuda op (#15064) 2023-03-23 11:05:17 -07:00
eigen
gsl Remove the cmake option: onnxruntime_DEV_MODE (#13573) 2022-11-07 09:06:28 -08:00
onnx upgrade protobuf to 3.20.2 and onnx to 1.13 (#14279) 2023-01-31 12:55:09 -08:00
protobuf upgrade protobuf to 3.20.2 and onnx to 1.13 (#14279) 2023-01-31 12:55:09 -08:00
xnnpack [XNNPACK] support building xnnpack EP for IOS (#13461) 2022-10-28 15:03:04 +08:00
.gitattributes