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tensorflow/c/eager/gradient_checker.cc
AbstractTensorHandlePtr fMinus(f_outputs[0]); // Take Difference of both estimates: (f(theta + eps) - f(theta - eps)). TF_RETURN_IF_ERROR( ops::Sub(ctx, fPlus.get(), fMinus.get(), f_outputs, "sub_top")); AbstractTensorHandlePtr fDiff(f_outputs[0]); // Calculate using the difference quotient definition: // (f(theta + eps) - f(theta - eps)) / (2 * eps). TF_RETURN_IF_ERROR(
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) -
tensorflow/c/c_api_internal.h
struct TF_Library { void* lib_handle; TF_Buffer op_list; }; struct TF_Graph { TF_Graph(); mutable tensorflow::mutex mu; tensorflow::Graph graph TF_GUARDED_BY(mu); // Runs shape inference. tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu); // Maps from name of an operation to the Node* in 'graph'. std::unordered_map<tensorflow::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Sat May 13 00:49:12 GMT 2023 - 7.6K bytes - Viewed (0) -
SECURITY.md
inspected and debugged and it is intended to be used during the development phase. As part of the differences that make Eager mode easier to debug, the [shape inference functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface) are skipped, and any checks implemented inside the shape inference code are not executed. The security impact of skipping those checks should be low, since the attack
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Sun Oct 01 06:06:35 GMT 2023 - 9.6K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-converter-issue.md
``` (You can paste links or attach files by dragging & dropping them below) - Provide links to your updated versions of the above two colab notebooks.
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