Experiment using Bazel's pip_install rule to install keras_applications.

PiperOrigin-RevId: 214076591

WORKSPACE

@@ -9,11 +9,27 @@ http_archive(
         "https://github.com/bazelbuild/rules_closure/archive/dbb96841cc0a5fb2664c37822803b06dab20c7d1.tar.gz",  # 2018-04-13
     ],
 )
-
 load("@io_bazel_rules_closure//closure:defs.bzl", "closure_repositories")
-
 closure_repositories()
 
+http_archive(
+    name = "io_bazel_rules_python",
+    strip_prefix = "rules_python-8b5d0683a7d878b28fffe464779c8a53659fc645",
+    urls = [
+        "https://github.com/bazelbuild/rules_python/archive/8b5d0683a7d878b28fffe464779c8a53659fc645.tar.gz",
+    ],
+)
+load("@io_bazel_rules_python//python:pip.bzl", "pip_repositories")
+pip_repositories()
+
+load("@io_bazel_rules_python//python:pip.bzl", "pip_import")
+pip_import(
+    name = "pip_deps",
+    requirements = "//tensorflow:requirements.txt",
+)
+load("@pip_deps//:requirements.bzl", "pip_install")
+pip_install()
+
 # We must check the bazel version before trying to parse any other BUILD
 # files, in case the parsing of those build files depends on the bazel
 # version we require here.

tensorflow/python/keras/BUILD

@@ -7,6 +7,7 @@ exports_files(["LICENSE"])
 
 package(default_visibility = ["//visibility:public"])
 
+load("@pip_deps//:requirements.bzl", "requirement")
 load("//tensorflow:tensorflow.bzl", "py_test")
 load("//tensorflow:tensorflow.bzl", "cuda_py_test")
 
@@ -62,6 +63,7 @@ py_library(
         ":backend",
         ":engine",
         ":layers",
+        requirement("keras_applications"),
         "//tensorflow/python/saved_model",
         "//tensorflow/python:training",
     ],

tensorflow/requirements.txt

@@ -0,0 +1,2 @@
+keras_applications >= 1.0.5
+keras_preprocessing >= 1.0.3