],
)

tf_cc_test(
    name = "save_test",
    size = "small",
    srcs = ["save_test.cc"],
    deps = [
        ":save",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/platform:path",
    ],
)

cc_library(
    name = "load",
    srcs = ["load.cc"],
    hdrs = ["load.h"],
    deps = [

std::unique_ptr<tfrt::CoreRuntime> CreateTestCoreRuntime() {
  auto corert = tfrt::CoreRuntime::Create(
      /*diag_handler=*/[](const tfrt::DecodedDiagnostic&
                              diag) { LOG(ERROR) << diag.message(); },
      tfrt::CreateMallocAllocator(),
      tfrt::CreateMultiThreadedWorkQueue(16, 16));
  CHECK(corert);
  auto fallback_op_handler = tensorflow::tfd::CreateKernelFallbackOpHandler(

                @TaskAction
                def verify() {
                    assert incomingFiles*.name == ["correct"]
                }
            }
        """
    }

    def "resolve the correct files through artifactView"() {
        expect:
        succeeds ':verifyFiles'
    }

    size = "small",
    srcs = ["ram_file_block_cache_test.cc"],
    deps = [
        ":ram_file_block_cache",
        "//tensorflow/c:tf_status_internal",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/platform:blocking_counter",
        "//tensorflow/core/platform/cloud:now_seconds_env",
    ],
)

tf_cc_test(
    name = "gcs_filesystem_test",

		// interfaces and implementations are mutually exclusive,
		// devirtualization can still select the correct callee for
		// each.
		//
		// If they were not mutually exclusive (for example, two Add
		// calls), then we could not definitively select the correct
		// callee.
		val += m.Multiply(42, selectA(i).Add(one(i), 2))
	}
	return val
}

type AddFunc func(int, int) int

The end result is that if this `istio-iptables` wrapper is used, the correct `iptables` binary should be selected dynamically, regardless of whether the context is a pod, the host, a container, or the host filesystem, or what "default" binary is configured in either the container or the host.

        "//tensorflow/core:all_kernels",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/common_runtime:core_cpu_lib",
        "//tensorflow/core/common_runtime/eager:context",
        "//tensorflow/core/common_runtime/eager:core",
    ],
)

// license that can be found in the LICENSE file.

// Verify that invalid imports are rejected by the compiler.
// Does not compile.

package main

// Correct import paths.
import _ "fmt"
import _ `time`
import _ "m\x61th"
import _ "go/parser"

// Correct import paths, but the packages don't exist.
// Don't test.
//import "a.b"
//import "greek/αβ"

// Import paths must be strings.

// CHECK: tfrt_fallback_async.createop(%arg0) key(0) device("/device:CPU:0") "tf.ParseExampleV2"()
// CHECK-SAME: Tdense = [f32, f32], dense_shapes = [#corert.shape<>, #corert.shape<>]
// CHECK-SAME: num_sparse = 2 : i64, ragged_split_types = [], ragged_value_types = []
// CHECK-SAME: sparse_types = [!corert.string, i64]}
// CHECK-SAME: num_args(7)

        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

tf_cc_test(
    name = "while_loop_test",
    size = "medium",
    srcs = ["while_loop_test.cc"],
    deps = [
        ":c_api",
        ":c_test_util",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)