Tighten some core dependencies, so that code that is only interested in (de)serializing Tensors doesn't require all of XLA and all TF kernels.

PiperOrigin-RevId: 318109428
Change-Id: Ibc6129213267432e1c9425a93106fe7188ba452a

tensorflow/c/BUILD

@@ -173,6 +173,7 @@ tf_cuda_library(
     copts = tf_copts(),
     visibility = [
         "//tensorflow/c:__subpackages__",
+        "//tensorflow/python:__subpackages__",
         "//third_party/llvm/llvm-project:__subpackages__",
     ],
     deps = [

tensorflow/c/eager/BUILD

@@ -244,7 +244,6 @@ cc_library(
         "//tensorflow:internal",
     ],
     deps = [
-        "//tensorflow/c:c_api",
         "//tensorflow/core:protos_all_cc",
         "//tensorflow/core/platform:status",
     ],

tensorflow/c/eager/abstract_function.h

@@ -15,7 +15,6 @@ limitations under the License.
 #ifndef TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_
 #define TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_
 
-#include "tensorflow/c/c_api.h"
 #include "tensorflow/core/framework/function.pb.h"
 #include "tensorflow/core/platform/status.h"
 

tensorflow/python/BUILD

@@ -558,7 +558,7 @@ cc_library(
     deps = [
         ":bfloat16_lib",
         ":numpy_lib",
-        "//tensorflow/c:c_api",
+        "//tensorflow/c:c_api_no_xla",
         "//tensorflow/core:lib",
         "//tensorflow/core:protos_all_cc",
     ],
@@ -997,11 +997,13 @@ tf_python_pybind_extension(
 
 cc_library(
     name = "safe_ptr",
-    srcs = ["lib/core/safe_ptr.cc"],
+    srcs = [
+        "lib/core/safe_ptr.cc",
+        "//tensorflow/c/eager:headers",
+    ],
     hdrs = ["lib/core/safe_ptr.h"],
     deps = [
-        "//tensorflow/c:c_api",
-        "//tensorflow/c/eager:c_api",
+        "//tensorflow/c:c_api_no_xla",
         "//third_party/python_runtime:headers",
     ],
 )
@@ -1046,7 +1048,6 @@ cc_library(
         ":ndarray_tensor_bridge",
         ":numpy_lib",
         ":safe_ptr",
-        "//tensorflow/c:c_api",
         "//tensorflow/c:c_api_internal",
         "//tensorflow/c:tf_status_helper",
         "//tensorflow/c:tf_tensor_internal",