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tensorflow/c/eager/gradient_checker.cc
// If the output is a scalar, then return the scalar output if (num_dims_out == 0) { outputs[0] = model_out.release(); return absl::OkStatus(); } // Else, reduce sum the output to get a scalar // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1]. AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out); int64_t vals_shape[] = {num_dims_out};
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0)