# Requirements for NumPy 1.x
numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.11.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

A. Unique TensorFlower <******@****.***> 1756942248 -0700

A. Unique TensorFlower <******@****.***> 1756942248 -0700

    # via -r ci/official/requirements_updater/requirements.in

# The following packages are considered to be unsafe in a requirements file:
setuptools==78.1.1 \
    --hash=sha256:c3a9c4211ff4c309edb8b8c4f1cbfa7ae324c4ba9f91ff254e3d305b9fd54561 \
    --hash=sha256:fcc17fd9cd898242f6b4adfaca46137a9edef687f43e6f78469692a5e70d851d
    # via
    #   -r ci/official/requirements_updater/requirements.in

    # via -r ci/official/requirements_updater/requirements.in

# The following packages are considered to be unsafe in a requirements file:
setuptools==78.1.1 \
    --hash=sha256:c3a9c4211ff4c309edb8b8c4f1cbfa7ae324c4ba9f91ff254e3d305b9fd54561 \
    --hash=sha256:fcc17fd9cd898242f6b4adfaca46137a9edef687f43e6f78469692a5e70d851d
    # via
    #   -r ci/official/requirements_updater/requirements.in

    # via -r ci/official/requirements_updater/requirements.in

# The following packages are considered to be unsafe in a requirements file:
setuptools==78.1.1 \
    --hash=sha256:c3a9c4211ff4c309edb8b8c4f1cbfa7ae324c4ba9f91ff254e3d305b9fd54561 \
    --hash=sha256:fcc17fd9cd898242f6b4adfaca46137a9edef687f43e6f78469692a5e70d851d
    # via
    #   -r ci/official/requirements_updater/requirements.in

    # via -r ci/official/requirements_updater/requirements.in

# The following packages are considered to be unsafe in a requirements file:
setuptools==78.1.1 \
    --hash=sha256:c3a9c4211ff4c309edb8b8c4f1cbfa7ae324c4ba9f91ff254e3d305b9fd54561 \
    --hash=sha256:fcc17fd9cd898242f6b4adfaca46137a9edef687f43e6f78469692a5e70d851d
    # via
    #   -r ci/official/requirements_updater/requirements.in

    # via -r ci/official/requirements_updater/requirements.in

# The following packages are considered to be unsafe in a requirements file:
setuptools==78.1.1 \
    --hash=sha256:c3a9c4211ff4c309edb8b8c4f1cbfa7ae324c4ba9f91ff254e3d305b9fd54561 \
    --hash=sha256:fcc17fd9cd898242f6b4adfaca46137a9edef687f43e6f78469692a5e70d851d
    # via
    #   -r ci/official/requirements_updater/requirements.in

load("@python_version_repo//:py_version.bzl", "REQUIREMENTS")

# TODO(ybaturina): Remove once TF is migrated to CUDA 12.9.
genrule(
    name = "nvidia_constraints",
    srcs = ["nvidia-requirements.txt"],
    outs = ["nvidia-constraints.txt"],
    cmd = """sed -E "s/>=/==/" $(location nvidia-requirements.txt) > $@;""",
)

compile_pip_requirements(
    name = "requirements",
    srcs = [
        "nvidia-requirements.txt",

* Using a cloud service that would run a container image for you, etc.

### Package Requirements { #package-requirements }

You would normally have the **package requirements** for your application in some file.

It would depend mainly on the tool you use to **install** those requirements.

The most common way to do it is to have a file `requirements.txt` with the package names and their versions, one per line.