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tensorflow/c/eager/c_api_remote_test_util.h
// Run a function containing a MatMul op and check its output. // If heavy_load_on_streaming_rpc is true, send some rpc requests before the one // which creates a remote input, to simulate a scenario that the remote input // is not ready when we start running an op or a function. void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func, bool heavy_load_on_streaming_rpc,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 1.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
break; case FetchState::FINISHED: return TF_SetStatus(status, TF_OK, ""); } } return TF_SetStatus( status, TF_INTERNAL, "Control flow should never reach the end of RamFileBlockCache::Fetch."); } int64_t RamFileBlockCache::Read(const std::string& filename, size_t offset, size_t n, char* buffer, TF_Status* status) { if (n == 0) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 16 01:39:09 GMT 2020 - 11.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// // If async execution is enabled, the call may simply enqueue the execution // and return "non-ready" handles in `retvals`. Note that any handles contained // in 'op' should not be mutated till the kernel execution actually finishes. // // For sync execution, if any of the inputs to `op` are not ready, this call // will block till they become ready and then return when the kernel execution // is done.
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tensorflow/c/eager/c_api_remote_function_test.cc
/*remote_func_outputs=*/true); } TEST(CAPI, RemoteExecuteSilentCopiesLocalAsyncFuncOrdering) { // A remote input may be not ready when we start running a function. Test that // the function execution should wait until the remote input is ready. TestRemoteExecuteSilentCopiesFunc(/*async=*/true, /*remote=*/false, /*heavy_load_on_streaming_rpc=*/true); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 3.6K bytes - Viewed (0) -
CONTRIBUTING.md
change. - You make the change and submit it for the review again. - This cycle repeats itself until the PR gets approved. - Note: As a friendly reminder, we may reach out to you if the PR is awaiting your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it initiates CI/CD tests.
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ci/official/requirements_updater/requirements.in
# TODO(b/304751256): Adjust the numpy pin to a single version, when ready numpy ~= 1.23.5 ; python_version <= "3.11" numpy ~= 1.26.0 ; python_version >= "3.12" wheel ~= 0.41.2 h5py >= 3.10.0 lit ~= 17.0.2 opt_einsum == 3.3.0 astunparse == 1.6.3 dill == 0.3.7 astor == 0.7.1 typing_extensions == 4.8.0 gast == 0.4.0 termcolor == 2.3.0 wrapt == 1.16.0 tblib == 2.0.0 # Install tensorboard, and keras
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