#define TENSORFLOW_C_EAGER_C_API_REMOTE_TEST_UTIL_H_

// Run a function containing a MatMul op and check its output.
// If heavy_load_on_streaming_rpc is true, send some rpc requests before the one
// which creates a remote input, to simulate a scenario that the remote input
// is not ready when we start running an op or a function.
void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,
                                   bool heavy_load_on_streaming_rpc,

  TFE_TensorHandle* h1_task0 = TestMatrixTensorHandle(ctx);
  std::vector<TFE_TensorHandle*> handles_task0;
  if (heavy_load_on_streaming_rpc) {
    // Send 50 tensor copy requests to simulate that there have been some RPC
    // requests been enqueued.
    for (int i = 0; i < 50; ++i) {
      handles_task0.push_back(TestMatrixTensorHandle(ctx));
    }
  }

*   `tf.lite`:

    *   `tf.quantization.quantize_and_dequantize_v2` has been introduced, which
        updates the gradient definition for quantization which is outside the
        range to be 0. To simulate the V1 the behavior of
        `tf.quantization.quantize_and_dequantize(...)` use
        `tf.grad_pass_through(tf.quantization.quantize_and_dequantize_v2)(...)`.

*   Building TensorFlow: