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LICENSE
6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or
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CONTRIBUTING.md
`comp:` etc. At this stage we check if the PR is valid and meets certain quality requirements. For example, we check if the CLA is signed, PR has sufficient description, if applicable unit tests are added, if it is a reasonable contribution (meaning it is not a single liner cosmetic PR). **2. Valid?** - If the PR passes all the quality checks then we go ahead and assign a reviewer.
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tensorflow/c/eager/parallel_device/parallel_device_testlib.cc
TFE_OpSetAttrString(op.get(), "container", "", 0); // Use the special GUID for no buffer sharing // // TODO(allenl): Should we provide a better API for this? AFAIK this is the // only reasonable way to make variables with no aliasing using the eager C // API. std::string no_sharing = "cd2c89b7-88b7-44c8-ad83-06c2a9158347"; TFE_OpSetAttrString(op.get(), "shared_name", no_sharing.c_str(),
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CODE_OF_CONDUCT.md
address, without explicit permission. * Conduct which could reasonably be considered inappropriate for the forum in which it occurs. All TensorFlow forums and spaces are meant for professional interactions, and any behavior which could reasonably be considered inappropriate in a professional setting is unacceptable. ## Our Responsibilities
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tensorflow/c/eager/tape.h
pop_backward_tape.release()(); std::vector<int64_t> targets; std::vector<Gradient*> used_in_grads; // We may end up with slightly fewer elements than we reserve, but grad.size() // should be a reasonably tight upper bound. targets.reserve(grad.size()); used_in_grads.reserve(grad.size()); std::unordered_map<int64_t, TapeTensor> sources_that_are_targets;
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