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tensorflow/c/c_api.cc
mutex_lock l(graph->mu); std::vector<const tensorflow::Edge*> control_edges; for (const tensorflow::Edge* edge : op->node.in_edges()) { if (!edge->IsControlEdge()) continue; control_edges.push_back(edge); } for (const tensorflow::Edge* edge : control_edges) { graph->graph.RemoveControlEdge(edge); } } void TF_SetRequireShapeInferenceFns(TF_Graph* graph, bool require) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
} // If caller specified all edges, check that we have seen all if (is_exact_edges) { ASSERT_EQ(e_edges.size() + c_edges.size(), a_edges.size()) << "Expected edges: " << ToString(e_edges) << " Expected Control edges: " << ToString(c_edges) << " Actual edges: " << ToString(a_edges) << " in fdef: " << fdef.DebugString(); } }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6) -
tensorflow/c/c_api_test.cc
ASSERT_EQ(1, TF_OperationNumInputs(neg)); TF_Output neg_input = TF_OperationInput({neg, 0}); EXPECT_EQ(scalar, neg_input.oper); EXPECT_EQ(0, neg_input.index); // Test that we can't see control edges involving the source and sink nodes. TF_Operation* control_ops[100]; EXPECT_EQ(0, TF_OperationNumControlInputs(scalar)); EXPECT_EQ(0, TF_OperationGetControlInputs(scalar, control_ops, 100));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/c_api.h
// must be either listed in `inputs` or must come from another node in // the body. In particular, it is an error to have a control edge going from // a node outside of the body into a node in the body. This applies to control // edges going from nodes referenced in `inputs` to nodes in the body when // the former nodes are not in the body (automatically skipped or not
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Oct 26 21:08:15 GMT 2023 - 82.3K bytes - Viewed (3) -
CONTRIBUTING.md
(by default) transferred to the TensorFlow team. This means that the benefit of the contribution must be compared against the cost of maintaining the feature. * Full new features (e.g., a new op implementing a cutting-edge algorithm) typically will live in [tensorflow/addons](https://github.com/tensorflow/addons) to get some airtime before a decision is made regarding whether they are to be migrated to the core.
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
RELEASE.md
* Removed need to put nsync/public on C include path when building custom ops. * Add `tf.image.psnr`, `tf.image.ssim`, `tf.image.ssim_multiscale`, `tf.image.image_gradients`, `tf.image.sobel_edges`. * Add links to https://js.tensorflow.org. * Fix non-uniformity of orthogonal matrices. * Fix bug where multi-image Estimator eval summaries were not displayed correctly.
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)