const string gpu_2_name(TF_DeviceListName(devices, 2, status.get()));
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK);
  TFE_TensorHandle* hdevice =
      TFE_TensorHandleCopyToDevice(hcpu, ctx, gpu_1_name.c_str(), status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK);

  TFE_TensorHandle* hdevice2 = TFE_TensorHandleCopyToDevice(
      hdevice, ctx, gpu_2_name.c_str(), status.get());

}

TEST_F(CApiAttributesTest, ShapeList) {
  const int64_t shape_1[] = {1, 3};
  const int64_t shape_2[] = {2, 4, 6};
  const int64_t* list[] = {&shape_1[0], &shape_2[0]};
  const size_t list_size = TF_ARRAYSIZE(list);
  const int ndims[] = {TF_ARRAYSIZE(shape_1), TF_ARRAYSIZE(shape_2)};
  const int total_ndims = 5;  // ndims[0] + ndims[1]

  auto desc = init("list(shape)");

    fi
}

teardown_file() {
    rm -rf /tf/venv
}

@test "Wheel is manylinux2014 (manylinux_2_17) compliant" {
    python3 -m auditwheel show "$TF_WHEEL" > audit.txt
    grep --quiet -zoP 'is consistent with the following platform tag:\n"manylinux_2_17_(aarch|x86_)64"\.' audit.txt
}

@test "Wheel conforms to upstream size limitations" {

//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer
//tensorflow/python:compare_test_proto_py
//tensorflow/python/framework:test_ops_2
//tensorflow/python/framework:test_file_system.so
//tensorflow/python/debug:grpc_tensorflow_server.par
//tensorflow/python/feature_column:vocabulary_testdata
//tensorflow/python/util:nest_test_main_lib

copy_file(
    name = "root_init_gen",
    src = select({
        "api_version_2": "_api/v2/v2.py",
        "//conditions:default": "_api/v1/v1.py",
    }),
    out = "__init__.py",
)

genrule(
    name = "virtual_root_init_gen",
    srcs = select({
        "api_version_2": [":virtual_root_template_v2.__init__.py"],

-#  endif
-__STRING_INLINE char *__strcpy_small (char *, __uint16_t, __uint16_t,
-				      __uint32_t, __uint32_t, size_t);
 __STRING_INLINE char *
 __strcpy_small (char *__dest,
 		__uint16_t __src0_2, __uint16_t __src4_2,
@@ -482,42 +257,6 @@ __strcpy_small (char *__dest,
   return __dest;
 }
 # else
-#  ifndef _FORCE_INLINES
-#   define __strcpy_args(src) \
-     __extension__ ((__STRING2_COPY_ARR2)				      \

TF_CAPI_EXPORT extern void TF_AbortWhile(const TF_WhileParams* params);

// Adds operations to compute the partial derivatives of sum of `y`s w.r.t `x`s,
// i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2...
//
// `dx` are used as initial gradients (which represent the symbolic partial
// derivatives of some loss function `L` w.r.t. `y`).
// `dx` must be nullptr or have size `ny`.