Fix ongoing breakages in pip builds

1. CL/161014271 added timeseries to tensorflow, but did not add the files to the TensorFlow pip package, resulting in Jenkins test errors: e.g., http://ci.tensorflow.org/job/tensorflow-cl-cpu-python3-pip/9269/console

2. Fix numpy issues related to using float as size args, which is illegal in some recent versions of numpy.

3. The tensorflow/contrib/boosted_trees py_tests are not working in the pip (specifically bazel_pip) builds. Disable them in pip builds for now after filing b/63386583.

PiperOrigin-RevId: 161097246

tensorflow/contrib/boosted_trees/BUILD

@@ -72,7 +72,10 @@ py_test(
     size = "small",
     srcs = ["python/kernel_tests/ensemble_optimizer_ops_test.py"],
     srcs_version = "PY2AND3",
-    tags = ["nomac"],  # b/63258195
+    tags = [
+        "no_pip",  # b/63386583
+        "nomac",  # b/63258195
+    ],
     deps = [
         ":ensemble_optimizer_ops_py",
         ":model_ops_py",
@@ -91,7 +94,10 @@ py_test(
     size = "small",
     srcs = ["python/kernel_tests/model_ops_test.py"],
     srcs_version = "PY2AND3",
-    tags = ["nomac"],  # b/63258195
+    tags = [
+        "no_pip",  # b/63386583
+        "nomac",  # b/63258195
+    ],
     deps = [
         ":ensemble_optimizer_ops_py",
         ":model_ops_py",
@@ -112,7 +118,10 @@ py_test(
     size = "small",
     srcs = ["python/kernel_tests/prediction_ops_test.py"],
     srcs_version = "PY2AND3",
-    tags = ["nomac"],  # b/63258195
+    tags = [
+        "no_pip",  # b/63386583
+        "nomac",  # b/63258195
+    ],
     deps = [
         ":model_ops_py",
         ":prediction_ops_py",
@@ -131,7 +140,10 @@ py_test(
     size = "small",
     srcs = ["python/kernel_tests/quantile_ops_test.py"],
     srcs_version = "PY2AND3",
-    tags = ["nomac"],  # b/63258195
+    tags = [
+        "no_pip",  # b/63386583
+        "nomac",  # b/63258195
+    ],
     deps = [
         ":quantile_ops_py",
         "//tensorflow/contrib/boosted_trees/proto:quantiles_proto_py",
@@ -148,6 +160,9 @@ py_test(
     size = "small",
     srcs = ["python/kernel_tests/split_handler_ops_test.py"],
     srcs_version = "PY2AND3",
+    tags = [
+        "no_pip",  # b/63386583
+    ],
     deps = [
         ":split_handler_ops_py",
         "//tensorflow/contrib/boosted_trees/proto:learner_proto_py",
@@ -163,7 +178,10 @@ py_test(
     size = "small",
     srcs = ["python/kernel_tests/stats_accumulator_ops_test.py"],
     srcs_version = "PY2AND3",
-    tags = ["nomac"],  # b/63258195
+    tags = [
+        "no_pip",  # b/63386583
+        "nomac",  # b/63258195
+    ],
     deps = [
         ":stats_accumulator_ops_py",
         "//tensorflow/python:framework_test_lib",
@@ -179,7 +197,10 @@ py_test(
     size = "small",
     srcs = ["python/kernel_tests/training_ops_test.py"],
     srcs_version = "PY2AND3",
-    tags = ["nomac"],  # b/63258195
+    tags = [
+        "no_pip",  # b/63386583
+        "nomac",  # b/63258195
+    ],
     deps = [
         ":model_ops_py",
         ":training_ops_py",

tensorflow/contrib/timeseries/BUILD

@@ -22,6 +22,18 @@ py_library(
     ],
 )
 
+py_library(
+    name = "timeseries_pip",
+    deps = [
+        ":timeseries",
+        "//tensorflow/contrib/timeseries/examples:known_anomaly",
+        "//tensorflow/contrib/timeseries/examples:multivariate",
+        "//tensorflow/contrib/timeseries/examples:predict",
+        "//tensorflow/contrib/timeseries/python/timeseries:test_utils",
+        "//tensorflow/contrib/timeseries/python/timeseries/state_space_models:test_utils",
+    ],
+)
+
 filegroup(
     name = "all_files",
     srcs = glob(

tensorflow/contrib/timeseries/python/timeseries/ar_model_test.py

@@ -66,7 +66,7 @@ class ARModelTest(test.TestCase):
              noise_stddev / 3. * np.random.randn(num_samples, 1))
     # Add some anomalies to data1
     if anomaly_prob > 0.:
-      num_anomalies = anomaly_prob * num_samples
+      num_anomalies = int(anomaly_prob * num_samples)
       anomaly_values = (anomaly_stddev_scale * noise_stddev / 4 *
                         np.random.randn(num_anomalies))
       indices = np.random.randint(0, num_samples, num_anomalies)

tensorflow/tools/pip_package/BUILD

@@ -141,18 +141,19 @@ sh_binary(
             "//tensorflow/contrib/labeled_tensor:labeled_tensor_pip",
             "//tensorflow/contrib/ndlstm:ndlstm",
             "//tensorflow/contrib/nn:nn_py",
+            "//tensorflow/contrib/predictor:predictor_pip",
             "//tensorflow/contrib/session_bundle:session_bundle_pip",
             "//tensorflow/contrib/signal:signal_py",
             "//tensorflow/contrib/slim:slim",
             "//tensorflow/contrib/slim/python/slim/data:data_pip",
             "//tensorflow/contrib/slim/python/slim/nets:nets_pip",
-            "//tensorflow/contrib/tpu:tpu_estimator",
-            "//tensorflow/contrib/tpu:tpu_helper_library",
-            "//tensorflow/contrib/tpu:tpu_py",
             "//tensorflow/contrib/specs:specs",
             "//tensorflow/contrib/tensor_forest:init_py",
             "//tensorflow/contrib/tensor_forest/hybrid:hybrid_pip",
-            "//tensorflow/contrib/predictor:predictor_pip",
+            "//tensorflow/contrib/timeseries:timeseries_pip",
+            "//tensorflow/contrib/tpu:tpu_estimator",
+            "//tensorflow/contrib/tpu:tpu_helper_library",
+            "//tensorflow/contrib/tpu:tpu_py",
             "//tensorflow/examples/tutorials/mnist:package",
             "//tensorflow/python:distributed_framework_test_lib",
             "//tensorflow/python:meta_graph_testdata",