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2 commits

Author SHA1 Message Date
Rui Ren
1a48099eea
ORT 1.14.0 release -- cherry pick round1 (#14456)
### Description
<!-- Describe your changes. -->
First round cherry pick, total `19` PRs, as below. Please check here for
[Here](https://github.com/microsoft/onnxruntime/issues?q=label%3Arelease%3A1.14+sort%3Aupdated-asc)
for the total list.
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Date | PR | # | Commit # | Short #
-- | -- | -- | -- | --
0 | fix headers for training apis | 14350 |
ea7bbd667d | ea7bbd6
1 | Fix post merge jobs pipeline build issues | 14346 |
ae0e090c7b | ae0e090
2 | support ScatterND(18) and ScatterElement(18) | 14224 |
5d6a049141 | 5d6a049
3 | Exclude a multi-stream case from reduced ops build | 14351 |
36ba3d8d21 | 36ba3d8
4 | Support muP in Attention | 14348 |
668586e8f8 | 668586e
5 | Add memory efficient attention from CUTLASS | 14343 |
414b012f42 | 414b012
6 | Add PyTorch 2.0 to ORT transformer benchmarking | 14300 |
72821a6113 | 72821a6
7 | Misc transformer fixes - 3 | 14320 |
2d8ee5251c | 2d8ee52
8 | Update quantization_defs.cc | 14380 |
de7a868d5f | de7a868
9 | Revert "Allow PostAnalysis@2 task to continue on error for
Windows_Pa… | 14375 | cf3661ff6d | cf3661f
10 | Fix fuzz test | 14385 | f03c507cf0 |
f03c507
11 | support Pad(18) | 14219 | 05915d8393
| 05915d8
12 | Ort openvino 4.3 cli | 14341 |
77b455b969 | 77b455b
13 | cpu to support bitwise ops | 14197 |
7b6d880b28 | 7b6d880
14 | Update ORT format v5 change docs to cover limited backwards
compatibility in 1.14. | 14413 |
3bc092b1ea | 3bc092b
15 | Upgrade CUTLASS to v2.11 and add sequence length threshold for
cutlass FMHA | 14401 | 94b1791974 |
94b1791
16 | Add Col2Im CPU op | 12311 |
32c05fcdd1 | 32c05fc
17 | [DML EP] Upgrade DML to 1.10.1 | 14433 |
edb377f2cb | edb377f
18 | cpu support of LpPool(18) | 14205 |
2b1a59f01a | 2b1a59f



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### 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. -->
First round cherry-pick for ORT 1.14.0 release.

---------

Signed-off-by: Liqun Fu <liqfu@microsoft.com>
Co-authored-by: Ashwini Khade <askhade@microsoft.com>
Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
Co-authored-by: liqun Fu <liqfu@microsoft.com>
Co-authored-by: RandySheriffH <48490400+RandySheriffH@users.noreply.github.com>
Co-authored-by: Randy Shuai <rashuai@microsoft.com>
Co-authored-by: Ye Wang <52801275+wangyems@users.noreply.github.com>
Co-authored-by: Ubuntu <wy@v100-2.0cdb2e52twzevn1i4fi45bylyg.jx.internal.cloudapp.net>
Co-authored-by: Tianlei Wu <tlwu@microsoft.com>
Co-authored-by: kunal-vaishnavi <115581922+kunal-vaishnavi@users.noreply.github.com>
Co-authored-by: Hariharan Seshadri <shariharan91@gmail.com>
Co-authored-by: Yi Zhang <zhanyi@microsoft.com>
Co-authored-by: Hector Li <hecli@microsoft.com>
Co-authored-by: sfatimar <sahar.fatima@intel.com>
Co-authored-by: Preetha <preetha.veeramalai@intel.com>
Co-authored-by: Thiago Crepaldi <thiago.crepaldi@microsoft.com>
Co-authored-by: Sumit Agarwal <sumitagarwal330@gmail.com>
2023-01-31 14:35:34 -08:00
Edward Chen
454f77cd94
Update kernel matching logic: decouple from op schemas and remove kernel def hashes (#12791)
# Motivation
Currently, ORT minimal builds use kernel def hashes to map from nodes to
kernels to execute when loading the model. As the kernel def hashes must
be known ahead of time, this works for statically registered kernels.
This works well for the CPU EP.
For this approach to work, the kernel def hashes must also be known at
ORT format model conversion time, which means the EP with statically
registered kernels must also be enabled then. This is not an issue for
the always-available CPU EP. However, we do not want to require that any
EP which statically registers kernels is always available too.
Consequently, we explore another approach to match nodes to kernels that
does not rely on kernel def hashes. An added benefit of this is the
possibility of moving away from kernel def hashes completely, which
would eliminate the maintenance burden of keeping the hashes stable.

# Approach
In a full build, ORT uses some information from the ONNX op schema to
match a node to a kernel. We want to avoid including the ONNX op schema
in a minimal build to reduce binary size. Essentially, we take the
necessary information from the ONNX op schema and make it available in a
minimal build.
We decouple the ONNX op schema from the kernel matching logic. The
kernel matching logic instead relies on per-op information which can
either be obtained from the ONNX op schema or another source.
This per-op information must be available in a minimal build when there
are no ONNX op schemas. We put it in the ORT format model.
Existing uses of kernel def hashes to look up kernels are replaced
with the updated kernel matching logic. We no longer store
kernel def hashes in the ORT format model’s session state and runtime
optimization representations. We no longer keep the logic to
generate and ensure stability of kernel def hashes.
2022-09-20 14:24:59 -07:00