# Description:
#   Contains files for loading, training and evaluating TF-Slim 2.0-based models.

package(default_visibility = [":internal"])

licenses(["notice"])  # Apache 2.0

exports_files(["LICENSE"])

package_group(
    name = "internal",
    packages = ["//slim/"],
)

py_library(
    name = "dataset_utils",
    srcs = ["datasets/dataset_utils.py"],
)

py_binary(
    name = "download_and_convert_cifar10",
    srcs = ["datasets/download_and_convert_cifar10.py"],
    deps = [":dataset_utils"],
)

py_binary(
    name = "download_and_convert_flowers",
    srcs = ["datasets/download_and_convert_flowers.py"],
    deps = [":dataset_utils"],
)

py_binary(
    name = "download_and_convert_mnist",
    srcs = ["datasets/download_and_convert_mnist.py"],
    deps = [":dataset_utils"],
)

py_binary(
    name = "cifar10",
    srcs = ["datasets/cifar10.py"],
    deps = [":dataset_utils"],
)

py_binary(
    name = "flowers",
    srcs = ["datasets/flowers.py"],
    deps = [":dataset_utils"],
)

py_binary(
    name = "imagenet",
    srcs = ["datasets/imagenet.py"],
    deps = [":dataset_utils"],
)

py_binary(
    name = "mnist",
    srcs = ["datasets/mnist.py"],
    deps = [":dataset_utils"],
)

py_library(
    name = "dataset_factory",
    srcs = ["datasets/dataset_factory.py"],
    deps = [
        ":cifar10",
        ":flowers",
        ":imagenet",
        ":mnist",
    ],
)

py_binary(
    name = "eval",
    srcs = ["eval.py"],
    deps = [
        ":dataset_factory",
        ":model_deploy",
        ":model_factory",
        ":preprocessing_factory",
    ],
)

py_library(
    name = "model_deploy",
    srcs = ["models/model_deploy.py"],
)

py_test(
    name = "model_deploy_test",
    srcs = ["models/model_deploy_test.py"],
    srcs_version = "PY2AND3",
    deps = [":model_deploy"],
)

py_library(
    name = "cifar10_preprocessing",
    srcs = ["models/cifar10_preprocessing.py"],
)

py_library(
    name = "inception_preprocessing",
    srcs = ["models/inception_preprocessing.py"],
)

py_library(
    name = "lenet_preprocessing",
    srcs = ["models/lenet_preprocessing.py"],
)

py_library(
    name = "vgg_preprocessing",
    srcs = ["models/vgg_preprocessing.py"],
)

py_library(
    name = "preprocessing_factory",
    srcs = ["models/preprocessing_factory.py"],
    deps = [
        ":cifar10_preprocessing",
        ":inception_preprocessing",
        ":lenet_preprocessing",
        ":vgg_preprocessing",
    ],
)

py_library(
    name = "lenet",
    srcs = ["nets/lenet.py"],
)

py_library(
    name = "model_factory",
    srcs = ["models/model_factory.py"],
    deps = [":lenet"],
)

py_binary(
    name = "train",
    srcs = ["train.py"],
    deps = [
        ":dataset_factory",
        ":model_deploy",
        ":model_factory",
        ":preprocessing_factory",
    ],
)