-
Notifications
You must be signed in to change notification settings - Fork 141
/
pyproject.toml
151 lines (141 loc) · 5.43 KB
/
pyproject.toml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
[build-system]
requires = ["flit_core >=3.2,<4"]
build-backend = "flit_core.buildapi"
[project]
name = "axlearn"
version = "0.0.1"
description = "AXLearn"
readme = "README.md"
requires-python = ">=3.9"
# Production dependencies.
# Every time we upgrade JAX, we should try to bring the rest to the newest versions.
dependencies = [
"attrs>=23.1.0", # We use `type` in `attrs.field`
"absl-py==2.1.0",
"chex==0.1.86", # chex 0.1.86 is required for jax 0.4.25.
"importlab==0.7", # breaks pytype on 0.8
"jax==0.4.28",
"jaxlib==0.4.28",
"nltk==3.7", # for text preprocessing
"numpy==1.26.4", # verified with tensorflow 2.14 RaggedTensor
"optax==0.1.7", # optimizers (0.1.0 has known bugs).
"portpicker",
"protobuf>=3.20.3",
"tensorboard-plugin-profile==2.14.0",
# This has both x86 and arm64 wheels. Underneath the hood it uses tensorflow-macos since 2.13.
"tensorflow==2.14.0",
"tensorflow-datasets>=4.9.2",
"tensorflow-io==0.34.0", # 0.34.0 enabled macOS arm64 builds, but >= 0.35.0 hits 'pure virtual method called' with s3
"tensorflow_text==2.14.0; platform_machine == 'x86_64'", # implied by seqio, but also used directly for text processing
"tensorstore>=0.1.21", # used for supporting GDA checkpoints
"toml", # for config management
"typing-extensions==4.9.0", # needed for typing.Protocol. >4.9.0 runs into attribute error `__non_callable_proto_members__`.
"scipy==1.12.0", # to avoid "module 'scipy.linalg' has no attribute 'tril'"
"seqio==0.0.18", # used for inputs
"aqtp==0.4.0", # aqtp>=0.5.0 requires python>=3.10 due to the use of Union shorthand "|" in type hints.
"flax==0.8.2", # for AQT, param converter and adapter.
]
[project.optional-dependencies]
# Apple Silicon dependencies.
# Need to run `conda install -c apple tensorflow-deps` separately.
apple-silicon = [
"tensorflow-metal==1.1.0; platform_machine == 'arm64'",
# As of Nov 15, 2023, tensorflow_text has no arm64 build.
# We need to manually build the wheel and install it, following instructions at https://github.com/tensorflow/text/tree/2.14#build-from-source-steps.
]
# Requirements for testing and development.
dev = [
"black==23.1a1", # formatting
"diffusers==0.26.3", # diffuser dependency for golden config updates
"einops",
"evaluate",
"fairseq==0.12.2", # test-only; note Apple Silicon start.md instructions parse this specifier '==', please be careful when upgrading.
"isort", # formatting
"pre-commit", # local pre commit hooks
"pycocotools", # COCO evaluation tools
"pylint==2.17.7",
"pytest", # test runner
"pytest-xdist", # pytest plugin for test parallelism
"pytype==2022.4.22", # type checking
"scikit-learn>=1.1.1", # test-only
# Fix AttributeError: module 'scipy.linalg' has no attribute 'tril' and related scipy import errors.
"scipy==1.12.0",
"sentencepiece != 0.1.92",
"tqdm", # test-only
"timm==0.6.12", # DiT Dependency test-only
"torch>=1.12.1", # test-only
"torchvision==0.16.1", # test-only
"transformers==4.40.1", # test-only
"wandb", # test-only
"wrapt", # implied by tensorflow-datasets, but also used in config tests.
]
# Requirements for GCP job management.
gcp = [
"cloud-tpu-client", # for creating and managing TPUs.
"crcmod", # for file uploads.
"kubernetes",
"google-api-core==2.17.1",
"google-api-python-client==2.109.0",
"google-auth==2.29.0",
"google-auth[pyopenssl]", # Ensures that we have compatible pyopenssl/cryptography pins.
"google-cloud-storage==2.16.0",
"google-cloud-core==2.3.3",
"ml_goodput_measurement==0.0.2",
"pyOpenSSL>=22.1.0", # compat with cryptography version.
]
# For TPU training.
# Note: Specify -f https://storage.googleapis.com/jax-releases/libtpu_releases.html during install.
tpu = [
"axlearn[gcp]",
"jax[tpu]==0.4.28", # must be >=0.4.19 for compat with v5p.
]
# Vertex AI tensorboard.
vertexai_tensorboard = [
# Required to fix a `distro-info` bug we run into when using `tb_gcp_tensorboard` from
# `google_cloud_aiplatform[tensorboard]`. See:
# [1] https://bugs.launchpad.net/ubuntu/+source/distro-info/+bug/1991606
# [2] https://github.com/pypa/setuptools/issues/3772
"setuptools==65.7.0",
"google-cloud-aiplatform[tensorboard]",
"tensorboard",
]
# Dataflow dependencies.
dataflow = [
"apache-beam==2.55.1",
"apache-beam[gcp]",
"google-apitools", # for beam pipeline
"orjson==3.9.10",
]
# GPU custom kernel dependency.
gpu = [
"triton==2.1.0",
]
[tool.flit.module]
# This defines the import name. https://flit.pypa.io/en/stable/pyproject_toml.html#module-section
name = "axlearn"
[project.scripts]
# Entrypoint for CLI.
axlearn = "axlearn.cli:main"
[tool.black]
line-length = 100
target-version = ['py38', 'py39']
[tool.ruff]
line-length = 100
target-version = 'py39'
[tool.pytest.ini_options]
addopts = "-rs -s -p no:warnings --junitxml=test-results/testing.xml"
markers = [
"gs_login: tests needing GS login.",
"tpu: tests needing access to a TPU device.",
"high_cpu: tests that require a lot of CPU.",
"fp64: tests that require 64-bit floating point precision.",
"golden_config: golden config tests.",
"golden_init: golden init tests.",
"golden_regularizer: golden regularizer scale tests.",
"golden_param_update: golden param update scale tests.",
]
testpaths = "."
junit_family="xunit2"
[tool.isort]
line_length = 100
profile = "black"