deps = [
        ":c_api",
        ":c_api_experimental",
        ":env",
        ":kernels",
    ],
)

tf_cuda_cc_test(
    name = "c_api_test",
    size = "medium",
    srcs = ["c_api_test.cc"],
    data = [
        ":test_op1.so",
        "//tensorflow/cc/saved_model:saved_model_half_plus_two",
    ],
    extra_copts = if_pywrap(["-DTENSORFLOW_NO_SHARED_OBJECTS"]),

# Load rc file with user-specific options.
try-import %workspace%/.bazelrc.user

# Here are bazelrc configs for release builds
# Build TensorFlow v2.
test:release_base --test_size_filters=small,medium

# Enable support for all targets
common:release_base --config=cpu_cross

# Ensure release_base is set on linux
common:release_linux_base --config=release_base

Requests can be "Single Payload" or "Streamed".

Use the MinIO Grid for:

* Small, frequent requests with low latency requirements.
* Long-running requests with small/medium payloads.

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.
Likely this means that this connection will not be able to saturate network bandwidth.

	FMOVS	4(R1), F2 // 220440bd
	FMOVD	1(R1), F2 // 221040fc
	FMOVD	8(R1), F2 // 220440fd
	FMOVQ	32(R5), F2 // a208c03d
	FMOVQ	65520(R10), F10 // 4afdff3d
	FMOVQ	64(RSP), F11    // eb13c03d

// medium offsets that either fit a single instruction or can use add+ldr/str
	MOVD -4095(R17), R3                        // 3bfe3fd1630340f9
	MOVD -391(R17), R3                         // 3b1e06d1630340f9

            ([Intel Cascade Lake](https://www.intel.com/content/www/us/en/products/platforms/details/cascade-lake.html)
            and newer CPUs.)
            *   [Example performance speedups.](https://medium.com/intel-analytics-software/leverage-intel-deep-learning-optimizations-in-tensorflow-129faa80ee07)
        *   For older CPUs, oneDNN optimizations are disabled by default.