Remove latent_dirichlet_allocation_distributions and vae examples, wh…

…ich were based on Tensorflow Estimator. PiperOrigin-RevId: 437312832
tensorflow · Mar 25, 2022 · 5ade582 · 5ade582
1 parent 4fad44a
commit 5ade582
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diff --git a/tensorflow_probability/examples/BUILD b/tensorflow_probability/examples/BUILD
@@ -120,46 +120,6 @@ py_test(
     ],
 )
 
-py_binary(
-    name = "latent_dirichlet_allocation_distributions",
-    srcs = ["latent_dirichlet_allocation_distributions.py"],
-    deps = [
-        ":latent_dirichlet_allocation_distributions_lib",
-    ],
-)
-
-py_library(
-    name = "latent_dirichlet_allocation_distributions_lib",
-    srcs = ["latent_dirichlet_allocation_distributions.py"],
-    deps = [
-        # absl/flags dep,
-        # absl/logging dep,
-        # numpy dep,
-        # scipy dep,
-        # six dep,
-        # tensorflow dep,
-        "//tensorflow_probability",
-        "//tensorflow_probability/python/distributions",
-    ],
-)
-
-py_test(
-    name = "latent_dirichlet_allocation_distributions_test",
-    size = "small",
-    srcs = ["latent_dirichlet_allocation_distributions.py"],
-    args = [
-        "--fake_data",
-        "--max_steps=5",
-        "--delete_existing",
-        "--viz_steps=5",
-        "--learning_rate=1e-7",
-    ],
-    main = "latent_dirichlet_allocation_distributions.py",
-    deps = [
-        ":latent_dirichlet_allocation_distributions_lib",
-    ],
-)
-
 py_binary(
     name = "logistic_regression",
     srcs = ["logistic_regression.py"],
@@ -207,44 +167,6 @@ py_library(
     ],
 )
 
-py_binary(
-    name = "vae",
-    srcs = ["vae.py"],
-    deps = [
-        ":vae_lib",
-    ],
-)
-
-py_library(
-    name = "vae_lib",
-    srcs = ["vae.py"],
-    deps = [
-        # absl/flags dep,
-        # numpy dep,
-        # six dep,
-        # tensorflow dep,
-        "//tensorflow_probability",
-        "//tensorflow_probability/python/distributions",
-    ],
-)
-
-py_test(
-    name = "vae_test",
-    size = "medium",
-    srcs = ["vae.py"],
-    args = [
-        "--fake_data",
-        "--max_steps=5",
-        "--delete_existing",
-        "--viz_steps=5",
-        "--learning_rate=1e-7",
-    ],
-    main = "vae.py",
-    deps = [
-        ":vae_lib",
-    ],
-)
-
 py_binary(
     name = "vq_vae",
     srcs = ["vq_vae.py"],