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.github/bot_config.yml
**1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions. Please refer following TF version and CUDA version compatibility table. | TF | CUDA | | :-------------: | :-------------: | | 2.5.0 | 11.2 | | 2.4.0 | 11.0 | | 2.1.0 - 2.3.0 | 10.1 | | 1.13.1 - 2.0 | 10.0 |
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
CONTRIBUTING.md
![image](https://github.com/tensorflow/tensorflow/assets/52792999/3eea4ca5-daa0-4570-b0b5-2a2b03a724a3) ### Contributor License Agreements We'd love to accept your patches! Before we can take them, we have to jump a couple of legal hurdles. Please fill out either the individual or corporate Contributor License Agreement (CLA).
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/c_api.cc
// directly, instead of requiring us to serialize to a GraphDef and // call Session::Extend(). bool ExtendSessionGraphHelper(TF_Session* session, TF_Status* status) { if (session->graph != nullptr) { // Take the graph lock before the session lock to avoid deadlock. This is // safe since session->graph does not change. session->graph->mu.lock(); mutex_lock session_lock(session->mu);
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
return OkStatus(); } // Validates the operations supplied by the plugin. // // Uses the 4 simpler `ValidateHelper(const TF_...*)` to validate each // individual function table and then checks that the function table for a // specific file type exists if the plugin offers support for creating that // type of files. static Status ValidateOperations(const TF_FilesystemPluginOps* ops) {
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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// maintaining ABI compatibility. This happens only in the following cases: /// 1. A new method is added _at the end_ of the function table. /// 2. Preconditions or postconditions for one operation in these function /// table change. Note that only core TensorFlow is able to impose these /// invariants (i.e., guarantee the preconditions before calling the operation
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.github/workflows/stale-issues.yml
exempt-issue-labels: 'override-stale' #Comma separated list of labels that can be assigned to PRs to exclude them from being marked as stale exempt-pr-labels: "override-stale" #Limit the No. of API calls in one run default value is 30. operations-per-run: 1000 days-before-issue-stale: 180 days-before-issue-close: 365
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tensorflow/c/experimental/gradients/tape/tape_context.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_CONTEXT_H_ #define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_CONTEXT_H_ #include "tensorflow/c/eager/abstract_context.h" #include "tensorflow/c/experimental/gradients/tape/tape_operation.h" namespace tensorflow { namespace gradients { class TapeContext : public AbstractContext { public: explicit TapeContext(AbstractContext*, Tape*, const GradientRegistry&);
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tensorflow/c/experimental/gradients/tape/tape_operation.h
#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_OPERATION_H_ #define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_TAPE_TAPE_OPERATION_H_ #include "tensorflow/c/eager/abstract_operation.h" #include "tensorflow/c/eager/gradients.h" namespace tensorflow { namespace gradients { class TapeOperation : public AbstractOperation { public: explicit TapeOperation(AbstractOperation*, Tape*, const GradientRegistry&); void Release() override;
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 23 23:12:39 GMT 2020 - 3.7K bytes - Viewed (1) -
tensorflow/c/experimental/next_pluggable_device/c_api.h
// ResourceMgr to clean up the resource. `status` will be set. If `status` is // not OK, `*result_plugin_resource` will be set as nullptr. // // Caller does not take ownership of the `plugin_resource`. TF_CAPI_EXPORT extern void TF_LookupOrCreatePluginResource( TF_OpKernelContext* ctx, const char* container_name, const char* plugin_resource_name, void** result_plugin_resource,
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tensorflow/c/eager/immediate_execution_context.h
// List attributes of available devices virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0; // Add `devices` into context's device manager. Context's device manager // will take ownership and maintain devices' lifetime. virtual Status AddDevices(std::vector<std::unique_ptr<Device>> devices) = 0; // Block until all pending nodes are finished. virtual Status AsyncWait() = 0;
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