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tensorflow/c/eager/c_api_remote_test_util.h
#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,
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tensorflow/c/eager/c_api_remote_test_util.cc
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)); } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
RELEASE.md
* `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:
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