Support for cpu/gpu version

This commit is contained in:
Justin Güse
2024-07-12 11:07:53 +00:00
parent eb0f28b3f6
commit a8901d2431
7 changed files with 760 additions and 631 deletions
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@@ -20,7 +20,7 @@ jobs:
run: | run: |
python -m pip install --upgrade pip python -m pip install --upgrade pip
pip install poetry pip install poetry
# use the hardcoded version number for now # use the hardcoded version number for now. if this is merged to the main repo, you can uncomment these lines to automatically tag the version number with the github run number
# - name: Set Version number # - name: Set Version number
# run: | # run: |
# poetry version 0.0.${{ github.run_number }} # poetry version 0.0.${{ github.run_number }}
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@@ -1,2 +1,3 @@
.venv/ .venv/
dist/ dist/
**__pycache__/** */
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@@ -14,6 +14,8 @@ to download model checkpoints.
This is not an officially supported Google product. This is not an officially supported Google product.
We recommend at least 16GB RAM to load TimesFM dependencies.
## Checkpoint timesfm-1.0-200m ## Checkpoint timesfm-1.0-200m
timesfm-1.0-200m is the first open model checkpoint: timesfm-1.0-200m is the first open model checkpoint:
@@ -32,51 +34,28 @@ Please look into the README files in the respective benchmark directories within
### Installation as a package ### Installation as a package
To install the CPU version of TimesFM as a package, you can run the following command without cloning this repo: To install the GPU/default version of TimesFM as a package, you can run the following command without cloning this repo:
`pip install timesfm` `pip install timesfm`
The package is currently using https://pypi.org/project/timesfm/. The package is currently using https://pypi.org/project/timesfm/.
### Poetry (CPU) installation To install the CPU version of TimesFM, you can run the command `pip install timesfm[cpu]`
To install the CPU environment using Poetry, you can run the following command: ### Local installation
To from the current repository/local version (like you would have previously done with `pip -e .`), you can run the command
``` ```
pip install poetry # optional pip install poetry # optional
poetry install poetry install
``` ```
If you prefer the CPU version, run the command `poetry install -E cpu`
This will install the environment in the local .venv folder (depends on the configuration) and matches the python command to the poetry environment. If this is not the case, you can use `poetry run python` to use the local environment. This will install the environment in the local .venv folder (depends on the configuration) and matches the python command to the poetry environment. If this is not the case, you can use `poetry run python` to use the local environment.
### Conda / GPU installation ## Notes
We recommend at least 16GB RAM to load TimesFM dependencies.
For calling TimesFM, We have two environment files. Inside `timesfm`, for
GPU installation (assuming CUDA 12 has been setup), you can create a conda
environment `tfm_env` from the base folder through:
```
conda env create --file=environment.yml
```
For a CPU setup please use,
```
conda env create --file=environment_cpu.yml
```
to create the environment instead.
Follow by
```
conda activate tfm_env
pip install -e .
```
to install the package.
**Note**:
1. Running the provided benchmarks would require additional dependencies. 1. Running the provided benchmarks would require additional dependencies.
Please use the environment files under `experiments` instead. Please use the environment files under `experiments` instead.
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@@ -1,18 +0,0 @@
name: tfm_env
channels:
- conda-forge
- defaults
- anaconda
dependencies:
- jupyterlab
- pip
- python=3.10
- pip:
- huggingface_hub[cli]
- utilsforecast
- praxis
- paxml
- jax[cuda12]==0.4.26
- einshape
- scikit-learn
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@@ -1,18 +0,0 @@
name: tfm_env
channels:
- conda-forge
- defaults
- anaconda
dependencies:
- jupyterlab
- pip
- python=3.10
- pip:
- huggingface_hub[cli]
- utilsforecast
- praxis
- paxml
- jax[cpu]==0.4.26
- einshape
- scikit-learn
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@@ -1,25 +1,10 @@
# This project can be installed with `python3 -m pip install -e .` from the main directory. [tool.poetry]
name = "timesfm"
[project]
name = "timesfm-jax"
packages = [ packages = [
{ include = "*", from = "src" }, { include = "*", from = "src" },
] ]
version = "0.0.1"
description = "Open weights time-series foundation model from Google Research." description = "Open weights time-series foundation model from Google Research."
version = "1.0.1" version = "0.0.12"
dependencies = [
"jax==0.4.26",
"paxml==1.4.0",
"praxis==1.4.0",
"jaxlib==0.4.26",
"numpy==1.26.4",
"pandas==2.1.4",
"einshape==1.0.0",
"utilsforecast==0.1.10",
"huggingface_hub[cli]==0.23.0",
"scikit-learn==1.5.1",
]
authors = [ authors = [
"Rajat Sen <senrajat@google.com>", "Rajat Sen <senrajat@google.com>",
"Yichen Zhou <yichenzhou@google.com>", "Yichen Zhou <yichenzhou@google.com>",
@@ -49,9 +34,13 @@ einshape = ">=1.0.0"
numpy = ">=1.26.4" numpy = ">=1.26.4"
pandas = ">=2.1.4" pandas = ">=2.1.4"
paxml = "1.4.0" paxml = "1.4.0"
jax = "0.4.26"
jaxlib = "0.4.26"
utilsforecast = "^0.1.10" utilsforecast = "^0.1.10"
jax = {version = "0.4.26", extras = ["cuda12"]}
# unfortunately we have to solve it using https://stackoverflow.com/questions/72037181/how-to-add-optional-dependencies-of-a-library-as-extra-in-poetry-and-pyproject
Jax = {version = "0.4.26", extras = ["cpu"], optional = true}
[tool.poetry.extras]
cpu = ['Jax']
[build-system] [build-system]