Make cuda_py_test create a gpu and cpu target.

Currently, we run tests on machines with GPUs based on the "gpu" tag, and the
tests automatically adapt to whether a GPU is available. Creating two targets,
one tagged with "gpu" and one not, will make us run the tests in both modes.

PiperOrigin-RevId: 215045035

1 files changed, 23 insertions, 16 deletions

diff --git a/tensorflow/tensorflow.bzl b/tensorflow/tensorflow.bzl
index cad5de1b0c..dead44c57e 100644
--- a/tensorflow/tensorflow.bzl
+++ b/tensorflow/tensorflow.bzl
@@ -1798,22 +1798,29 @@ def cuda_py_test(
         flaky = 0,
         xla_enabled = False,
         grpc_enabled = False):
-    test_tags = tags + tf_cuda_tests_tags()
-    tf_py_test(
-        name = name,
-        size = size,
-        srcs = srcs,
-        data = data,
-        main = main,
-        args = args,
-        tags = test_tags,
-        shard_count = shard_count,
-        additional_deps = additional_deps,
-        kernels = kernels,
-        flaky = flaky,
-        xla_enabled = xla_enabled,
-        grpc_enabled = grpc_enabled,
-    )
+    if main == None:
+        main = name + ".py"
+    for config in ["cpu", "gpu"]:
+        test_name = name
+        test_tags = tags
+        if config == "gpu":
+            test_name += "_gpu"
+            test_tags = test_tags + tf_cuda_tests_tags()
+        tf_py_test(
+            name = test_name,
+            size = size,
+            srcs = srcs,
+            data = data,
+            main = main,
+            args = args,
+            tags = test_tags,
+            shard_count = shard_count,
+            additional_deps = additional_deps,
+            kernels = kernels,
+            flaky = flaky,
+            xla_enabled = xla_enabled,
+            grpc_enabled = grpc_enabled,
+        )
 
 register_extension_info(
     extension_name = "cuda_py_test",