gradle["Gradle CLI client"]
    
        gradlew["Gradlew CLI client"]
    
        subgraph IDE    
            tapi["Tooling API client"]
        end
        
        daemon["Gradle daemon"]
        gradle --> daemon
        gradlew --> daemon
        tapi --> daemon
        
        worker["Worker process"]
        daemon --> worker

        worker2["Worker process"]
        daemon --> worker2

                        txtOutputFile.set(file("build/japi-report.txt"))

                        richReport {

                            title.set("Gradle Binary Compatibility Check")
                            destinationDir.set(file("build/japi"))
                            reportName.set("japi.html")

                            includedClasses.set(listOf(".*"))

  TFE_DeleteContext(ctx);
}
TEST(CAPI, TensorHandleSilentCopy) {
  TensorHandleSilentCopy(false, TFE_DEVICE_PLACEMENT_SILENT,
                         TFE_DEVICE_PLACEMENT_SILENT, false);
}
TEST(CAPI, TensorHandleSilentCopyAsync) {
  TensorHandleSilentCopy(true, TFE_DEVICE_PLACEMENT_SILENT,
                         TFE_DEVICE_PLACEMENT_SILENT, false);
}
TEST(CAPI, TensorHandleSilentCopyLocalPolicy) {

                                 ForwardOperation*);

// Make the call to `Tape::RecordOperation`.
absl::Status Execute(AbstractOperation*, AbstractContext*,
                     absl::Span<AbstractTensorHandle*> retvals,
                     int* num_retvals, ForwardOperation*, Tape*,
                     const GradientRegistry&);

}  // namespace internal
}  // namespace gradients

    absl::Span<AbstractTensorHandle*> outputs) {
  Tape tape(/*persistent=*/false);
  tape.Watch(inputs[0]);
  AbstractTensorHandle* neg_output;
  TF_RETURN_IF_ERROR(ops::Neg(ctx, inputs[0], &neg_output, "Neg"));
  tape.RecordOperation(inputs, {neg_output}, nullptr, "Neg");
  return tape.ComputeGradient(ctx,
                              /*targets=*/{neg_output},

  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(s);
}

TEST(CAPI, Session_Min_CPU) { RunMinTest(/*device=*/"", /*use_XLA=*/false); }

TEST(CAPI, Session_Min_XLA_CPU) { RunMinTest(/*device=*/"", /*use_XLA=*/true); }

TEST(CAPI, Session_Min_GPU) {
  const string gpu_device = GPUDeviceName();
  // Skip this test if no GPU is available.

load(
    "//tensorflow/python/tools/api/generator:api_gen.bzl",
    "get_compat_files",
    "get_nested_compat_files",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files.bzl",
    "TENSORFLOW_API_INIT_FILES",
)
load(
    "//tensorflow/python/tools/api/generator:api_init_files_v1.bzl",
    "TENSORFLOW_API_INIT_FILES_V1",
)
load("//tensorflow/python/tools/api/generator2:generate_api.bzl", "generate_apis")

void TapeVSpace::DeleteGradient(AbstractTensorHandle* gradient) const {
  gradient->Unref();
}

void Tape::Watch(const AbstractTensorHandle* t) {
  GradientTape::Watch(ToId(t));
}
void Tape::RecordOperation(absl::Span<AbstractTensorHandle* const> inputs,
                           absl::Span<AbstractTensorHandle* const> outputs,

  // TODO(b/136478427): Figure out how to correctly shut the server down.
  worker_server1.release();
  worker_server2.release();
}

TEST(CAPI, TestLocalFunctionWithPackedInput) {
  TestFunctionWithPackedInput(/*remote=*/false);
}

TEST(CAPI, TestRemoteFunctionWithPackedInput) {
  TestFunctionWithPackedInput(/*remote=*/true);
}

string VariableAddFunctionSignature() {
  return "    signature {"

		}
	}
}

// Check if an API error is properly defined
func TestAPIErrCodeDefinition(t *testing.T) {
	for errAPI := ErrNone + 1; errAPI < apiErrCodeEnd; errAPI++ {
		errCode, ok := errorCodes[errAPI]
		if !ok {
			t.Fatal(errAPI, "error code is not defined in the API error code table")
		}
		if errCode.Code == "" {
			t.Fatal(errAPI, "error code has an empty XML code")