Merge branch 'master' into jomayeri/aio-file-offset

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Joe Mayer 2024-11-05 14:25:14 -08:00 коммит произвёл GitHub
Родитель 25f94d7172 2b41d6212c
Коммит 2f5446a584
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4 изменённых файлов: 50 добавлений и 2 удалений

2
.github/workflows/nv-ds-chat.yml поставляемый
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@ -12,6 +12,7 @@ on:
type: string
pull_request:
paths:
- ".github/workflows/nv-ds-chat.yml"
- "deepspeed/runtime/zero/stage_1_and_2.py"
- "deepspeed/runtime/zero/stage3.py"
- "deepspeed/runtime/hybrid_engine.py"
@ -42,6 +43,7 @@ jobs:
- name: Install deepspeed
run: |
pip install transformers==4.45.2
pip install .[dev]
ds_report

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@ -142,7 +142,7 @@ DeepSpeed has been integrated with several different popular open-source DL fram
| PyTorch Nightly | [![nv-torch-nightly-v100](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-torch-nightly-v100.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-torch-nightly-v100.yml) |
| Integrations | [![nv-transformers-v100](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-transformers-v100.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-transformers-v100.yml) [![nv-lightning-v100](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-lightning-v100.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-lightning-v100.yml) [![nv-accelerate-v100](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-accelerate-v100.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-accelerate-v100.yml) [![nv-mii](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-mii.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-mii.yml) [![nv-ds-chat](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-ds-chat.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-ds-chat.yml) [![nv-sd](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-sd.yml/badge.svg)](https://github.com/microsoft/DeepSpeed/actions/workflows/nv-sd.yml) |
| Misc | [![Formatting](https://github.com/microsoft/DeepSpeed/actions/workflows/formatting.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/formatting.yml) [![pages-build-deployment](https://github.com/microsoft/DeepSpeed/actions/workflows/pages/pages-build-deployment/badge.svg)](https://github.com/microsoft/DeepSpeed/actions/workflows/pages/pages-build-deployment) [![Documentation Status](https://readthedocs.org/projects/deepspeed/badge/?version=latest)](https://deepspeed.readthedocs.io/en/latest/?badge=latest)[![python](https://github.com/microsoft/DeepSpeed/actions/workflows/python.yml/badge.svg?branch=master)](https://github.com/microsoft/DeepSpeed/actions/workflows/python.yml) |
| Huawei Ascend NPU | [![Huawei Ascend NPU](https://github.com/cosdt/DeepSpeed/actions/workflows/huawei-ascend-npu.yml/badge.svg?branch=master)](https://github.com/cosdt/DeepSpeed/actions/workflows/huawei-ascend-npu.yml) |
| Huawei Ascend NPU | [![Huawei Ascend NPU](https://github.com/Ascend/Ascend-CI/actions/workflows/deepspeed.yaml/badge.svg?branch=main)](https://github.com/Ascend/Ascend-CI/actions/workflows/deepspeed.yaml) |
# Installation

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@ -101,7 +101,15 @@ __global__ void apply_rotary_pos_half(T* mixed_query,
#if defined(__HIP_PLATFORM_AMD__) and ROCM_WAVEFRONT_SIZE == 64
#define LAUNCH_FOR_ALIGNMENT(ALIGNMENT) \
if (threads_per_head == 64) { \
if (threads_per_head == 4) { \
LAUNCH_ROT_POS_EMB_HALF(4, ALIGNMENT); \
} else if (threads_per_head == 8) { \
LAUNCH_ROT_POS_EMB_HALF(8, ALIGNMENT); \
} else if (threads_per_head == 16) { \
LAUNCH_ROT_POS_EMB_HALF(16, ALIGNMENT); \
} else if (threads_per_head == 32) { \
LAUNCH_ROT_POS_EMB_HALF(32, ALIGNMENT); \
} else if (threads_per_head == 64) { \
LAUNCH_ROT_POS_EMB_HALF(64, ALIGNMENT); \
} else { \
assert(false); \

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@ -0,0 +1,38 @@
# Copyright (c) Microsoft Corporation.
# SPDX-License-Identifier: Apache-2.0
# DeepSpeed Team
import pytest
import torch
import deepspeed
from deepspeed.ops.op_builder import InferenceBuilder
from deepspeed.accelerator import get_accelerator
if not deepspeed.ops.__compatible_ops__[InferenceBuilder.NAME]:
pytest.skip("Inference ops are not available on this system", allow_module_level=True)
@pytest.mark.inference_ops
@pytest.mark.parametrize("num_heads", [64, 32, 16, 8])
def test_rope_warp_size_alignment(num_heads):
if get_accelerator().device_name() != "cuda":
pytest.skip("This test runs only on GPU")
batch = 1
head = 8
seq_len = 1024
head_dim = 32
rotary_dim = 32
offset = 8
rotate_half = False
rope_theta = 2
cuda0 = torch.device('cuda:0')
query = torch.randn(batch, head, seq_len, head_dim, device=cuda0)
key = torch.randn(batch, head, seq_len, head_dim, device=cuda0)
inference = InferenceBuilder().load()
# For num_heads values of 64, 32, 16, 8
# corresponding threads_per_head (defined in apply_rotary_pos_emb.cu) values are 4, 8, 16, 32
inference.apply_rotary_pos_emb(query, key, rotary_dim, offset, num_heads, rotate_half, rope_theta)