onnxruntime/docs
Prathik Rao 544407038d
SimplifiedLayerNormalization Fusion BFloat16 support for Llama-v2 on A100 (#18898)
### Description
<!-- Describe your changes. -->

Adds bfloat16 as a supported dtype for SimplifiedLayerNormFusion which
will provide speedup for Llama-v2 on A100 using bfloat16 numerical
format.

_layernorm_optimized_training.onnx exported in bfloat16 vs. float16:_

![image](https://github.com/microsoft/onnxruntime/assets/31260940/8c0a5f0f-5fcb-4637-bcd9-f34272ec0284)

### Repro Instructions

```python
from torch import nn
from onnxruntime.training.ortmodule import ORTModule, DebugOptions, LogLevel
import torch

dtype = torch.bfloat16
# dtype = torch.float16

class Net(nn.Module):
    def __init__(self):
        super().__init__()
        self.fc = nn.Linear(784, 10, dtype=dtype)
        self.layernorm = nn.LayerNorm([784], dtype=dtype)

    def forward(self, x):
        x = x.view(x.shape[0], -1)
        x = self.layernorm(x)
        x = self.fc(x)

        return x

model = Net()
model = ORTModule(model, DebugOptions(save_onnx=True, onnx_prefix='layernorm', log_level=LogLevel.INFO))
model.to("cuda")

images = torch.randn((8, 28, 28), dtype=dtype).to("cuda")
output = model(images)
```

### 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. -->

ONNX Runtime integration with Llama-v2 family of LLMs.

---------

Co-authored-by: Prathik Rao <prathikrao@microsoft.com@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
2024-02-14 10:05:16 -08:00
..
c_cxx Remove extraneous javascript includes (#17558) 2023-09-14 20:43:24 -07:00
execution_providers/images
images
python Bump ruff linter to 0.2.1 (#19471) 2024-02-08 16:08:27 -08:00
ABI_Dev_Notes.md Fix a typo in ABI_Dev_Notes.md (#17832) 2023-10-09 07:51:34 -07:00
Android_testing.md
C_API_Guidelines.md
cmake_guideline.md
Coding_Conventions_and_Standards.md [docs] Specify Objective-C max line length. (#16503) 2023-06-28 16:58:23 -07:00
ContribOperators.md GQA Rotary and Packed QKV with Flash (#18906) 2024-01-23 16:34:26 -08:00
FAQ.md [Technical docs] Fixed a couple of old links in FAQ.md (#17415) 2023-09-26 13:38:24 -07:00
How_To_Update_ONNX_Dev_Notes.md
Memory_Optimizer.md Allow layer-wise recompute (#18566) 2023-12-12 08:44:05 +08:00
Model_Test.md
NotesOnThreading.md
ONNX_Runtime_Server_Usage.md
onnxruntime_dependencies.dot
onnxruntime_dependencies.png
onnxruntime_extensions.md Remove the extensions submodule (#17097) 2023-08-14 10:16:33 -07:00
OperatorKernels.md SimplifiedLayerNormalization Fusion BFloat16 support for Llama-v2 on A100 (#18898) 2024-02-14 10:05:16 -08:00
ORT_Format_Update_in_1.13.md
ORT_Use_Trtion_Kernel.md [ROCm] Add ROCm Triton TunableOp for GroupNorm (#16196) 2023-07-11 13:55:30 +08:00
ORTMobilePackageOperatorTypeSupport.md
ORTModule_Convergence_Notes.md Introduce ZeROOffloadSubscriber for ORTModule (#17006) 2023-08-25 00:15:22 +08:00
ORTModule_ModuleWithLoss_Wrapper.md add steps to write modulewithloss wrapper (#16486) 2023-07-11 09:07:35 +08:00
ORTModule_PythonOp_Notes.md Add document for PythonOp (#17888) 2023-10-12 08:36:22 +08:00
ORTModule_Training_Guidelines.md ORTModule memory improvement (#18924) 2024-01-16 08:57:37 +08:00
PR_Guidelines.md
Privacy.md
Python_Dev_Notes.md
Reduced_Operator_Kernel_build.md
ReleaseManagement.md
Roadmap.md
Server.md
TVM_EP.md Fix: update hyperlinks to the Jupyter notebooks (#16145) 2023-08-21 09:53:05 -07:00
Versioning.md
WinML_principles.md