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tensorflow/c/eager/tape.h
auto it = tensor_usage_.find(tensor_id); if (it == tensor_usage_.end()) { return; } it->second--; if (it->second != 0) { return; } tensor_usage_.erase(it); auto tensor_op_it = tensor_tape_.find(tensor_id); if (tensor_op_it == tensor_tape_.end()) { return; } const int64_t op_id = tensor_op_it->second; if (op_id == -1) { // Do not delete watched tensors.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/c_test.c
TF_Status* status = TF_NewStatus(); TF_NewWritableFile(full_path, &h, status); if (TF_GetCode(status) != TF_OK) { fprintf(stderr, "TF_NewWritableFile failed: %s\n", TF_Message(status)); return 1; } fprintf(stderr, "wrote %s\n", full_path); free(full_path); TF_CloseWritableFile(h, status); if (TF_GetCode(status) != TF_OK) { fprintf(stderr, "TF_CloseWritableFile failed: %s\n", TF_Message(status));
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Apr 24 20:50:35 GMT 2024 - 2.8K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.h
absl::Span<AbstractTensorHandle*>)>; // Runs `model` maybe wrapped in a function call op. This can be thought as // being equivalent to the following python code. // // if use_function: // outputs = tf.function(model)(inputs) // else: // outputs = model(inputs) Status RunModel(Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0)