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Bump torch 2.5 #1665

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Bump torch 2.5 #1665

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Nov 15, 2024
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Nov 19, 2024
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8 changes: 4 additions & 4 deletions .github/workflows/docker.yaml
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Expand Up @@ -17,11 +17,11 @@ jobs:
strategy:
matrix:
include:
- name: "2.4.0_cu124"
base_image: mosaicml/pytorch:2.4.0_cu124-python3.11-ubuntu20.04
- name: "2.5.1_cu124"
base_image: mosaicml/pytorch:2.5.1_cu124-python3.11-ubuntu20.04
dep_groups: "[all]"
- name: "2.4.0_cu124_aws"
base_image: mosaicml/pytorch:2.4.0_cu124-python3.11-ubuntu20.04-aws
- name: "2.5.1_cu124_aws"
base_image: mosaicml/pytorch:2.5.1_cu124-python3.11-ubuntu20.04-aws
dep_groups: "[all]"
steps:

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4 changes: 2 additions & 2 deletions .github/workflows/pr-cpu.yaml
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Expand Up @@ -21,9 +21,9 @@ jobs:
strategy:
matrix:
include:
- name: "cpu-2.4.0"
- name: "cpu-2.5.1"
pip_deps: "[all-cpu]"
container: mosaicml/pytorch:2.4.0_cpu-python3.11-ubuntu20.04
container: mosaicml/pytorch:2.5.1_cpu-python3.11-ubuntu20.04
markers: "not gpu"
pytest_command: "coverage run -m pytest"
steps:
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12 changes: 6 additions & 6 deletions .github/workflows/pr-gpu.yaml
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Expand Up @@ -22,8 +22,8 @@ jobs:
fail-fast: false
matrix:
include:
- name: "gpu-2.4.0-1"
container: mosaicml/llm-foundry:2.4.0_cu124-latest
- name: "gpu-2.5.1-1"
container: mosaicml/llm-foundry:2.5.1_cu124-latest
markers: "gpu"
pip_deps: "[all]"
pytest_command: "coverage run -m pytest"
Expand Down Expand Up @@ -51,8 +51,8 @@ jobs:
fail-fast: false
matrix:
include:
- name: "gpu-2.4.0-2"
container: mosaicml/llm-foundry:2.4.0_cu124-latest
- name: "gpu-2.5.1-2"
container: mosaicml/llm-foundry:2.5.1_cu124-latest
markers: "gpu"
pip_deps: "[all]"
pytest_command: "coverage run -m pytest"
Expand Down Expand Up @@ -80,8 +80,8 @@ jobs:
fail-fast: false
matrix:
include:
- name: "gpu-2.4.0-4"
container: mosaicml/llm-foundry:2.4.0_cu124-latest
- name: "gpu-2.5.1-4"
container: mosaicml/llm-foundry:2.5.1_cu124-latest
markers: "gpu"
pip_deps: "[all]"
pytest_command: "coverage run -m pytest"
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4 changes: 2 additions & 2 deletions .github/workflows/release.yaml
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Expand Up @@ -93,7 +93,7 @@ jobs:
${{ env.AWS_DOCKER_TAG }}
${{ env.AWS_LATEST_TAG }}
build-args: |
BASE_IMAGE=mosaicml/pytorch:2.4.0_cu124-python3.11-ubuntu20.04-aws
BASE_IMAGE=mosaicml/pytorch:2.5.1_cu124-python3.11-ubuntu20.04-aws
BRANCH_NAME=${{ env.BRANCH_NAME }}
DEP_GROUPS=[all]
KEEP_FOUNDRY=true
Expand All @@ -108,7 +108,7 @@ jobs:
${{ env.DOCKER_TAG }}
${{ env.LATEST_TAG }}
build-args: |
BASE_IMAGE=mosaicml/pytorch:2.4.0_cu124-python3.11-ubuntu20.04
BASE_IMAGE=mosaicml/pytorch:2.5.1_cu124-python3.11-ubuntu20.04
BRANCH_NAME=${{ env.BRANCH_NAME }}
DEP_GROUPS=[all]
KEEP_FOUNDRY=true
12 changes: 6 additions & 6 deletions README.md
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Expand Up @@ -113,24 +113,24 @@ If you have success/failure using LLM Foundry on other systems, please let us kn

| Device | Torch Version | Cuda Version | Status |
| -------------- | ------------- | ------------ | ---------------------------- |
| A100-40GB/80GB | 2.4.0 | 12.4 | :white_check_mark: Supported |
| H100-80GB | 2.4.0 | 12.4 | :white_check_mark: Supported |
| A100-40GB/80GB | 2.5.1 | 12.4 | :white_check_mark: Supported |
| H100-80GB | 2.5.1 | 12.4 | :white_check_mark: Supported |

## MosaicML Docker Images
We highly recommend using our prebuilt Docker images. You can find them here: https://hub.docker.com/orgs/mosaicml/repositories.

The `mosaicml/pytorch` images are pinned to specific PyTorch and CUDA versions, and are stable and rarely updated.

The `mosaicml/llm-foundry` images are built with new tags upon every commit to the `main` branch.
You can select a specific commit hash such as `mosaicml/llm-foundry:2.4.0_cu124-36ab1ba` or take the latest one using `mosaicml/llm-foundry:2.4.0_cu124-latest`.
You can select a specific commit hash such as `mosaicml/llm-foundry:2.5.1_cu124-36ab1ba` or take the latest one using `mosaicml/llm-foundry:2.5.1_cu124-latest`.

**Please Note:** The `mosaicml/llm-foundry` images do not come with the `llm-foundry` package preinstalled, just the dependencies. You will still need to `pip install llm-foundry` either from PyPi or from source.

| Docker Image | Torch Version | Cuda Version | LLM Foundry dependencies installed? |
| ------------------------------------------------------ | ------------- | ----------------- | ----------------------------------- |
| `mosaicml/pytorch:2.4.0_cu124-python3.11-ubuntu20.04` | 2.4.0 | 12.4 (Infiniband) | No |
| `mosaicml/llm-foundry:2.4.0_cu124-latest` | 2.4.0 | 12.4 (Infiniband) | Yes |
| `mosaicml/llm-foundry:2.4.0_cu124_aws-latest` | 2.4.0 | 12.4 (EFA) | Yes |
| `mosaicml/pytorch:2.5.1_cu124-python3.11-ubuntu20.04` | 2.5.1 | 12.4 (Infiniband) | No |
| `mosaicml/llm-foundry:2.5.1_cu124-latest` | 2.5.1 | 12.4 (Infiniband) | Yes |
| `mosaicml/llm-foundry:2.5.1_cu124_aws-latest` | 2.5.1 | 12.4 (EFA) | Yes |


# Installation
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10 changes: 5 additions & 5 deletions setup.py
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Expand Up @@ -52,12 +52,12 @@
]

install_requires = [
'mosaicml[libcloud,wandb,oci,gcs,mlflow]>=0.26.0,<0.27',
'mosaicml[libcloud,wandb,oci,gcs,mlflow]>=0.27.0,<0.28',
'mlflow>=2.14.1,<2.18',
'accelerate>=0.25,<1.2', # for HF inference `device_map`
'transformers>=4.43.2,<4.47',
'mosaicml-streaming>=0.9.0,<0.10',
'torch>=2.4.0,<2.4.1',
'torch>=2.5.1,<2.5.2',
'datasets>=2.20.0,<2.21',
'fsspec==2023.6.0', # newer version results in a bug in datasets that duplicates data
'sentencepiece==0.2.0',
Expand Down Expand Up @@ -91,15 +91,15 @@
]

extra_deps['databricks'] = [
'mosaicml[databricks]>=0.26.0,<0.27',
'mosaicml[databricks]>=0.27.0,<0.28',
'numpy<2',
'databricks-sql-connector>=3,<4',
'databricks-connect==14.1.0',
'lz4>=4,<5',
]

extra_deps['tensorboard'] = [
'mosaicml[tensorboard]>=0.26.0,<0.27',
'mosaicml[tensorboard]>=0.27.0,<0.28',
]

# Flash 2 group kept for backwards compatibility
Expand All @@ -110,7 +110,7 @@
extra_deps['gpu'] = copy.deepcopy(extra_deps['gpu-flash2'])

extra_deps['peft'] = [
'mosaicml[peft]>=0.26.0,<0.27',
'mosaicml[peft]>=0.27.0,<0.28',
]

extra_deps['openai'] = [
Expand Down
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