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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
} void CreateDir(const TF_Filesystem* filesystem, const char* path, TF_Status* status) { std::string dir = path; MaybeAppendSlash(&dir); TF_VLog(3, "CreateDir: creating directory with path: %s and " "path_with_slash: %s", path, dir.c_str()); std::string bucket, object; ParseGCSPath(dir, true, &bucket, &object, status); if (TF_GetCode(status) != TF_OK) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0) -
.github/workflows/cffconvert.yml
uses: actions/checkout@755da8c3cf115ac066823e79a1e1788f8940201b # v3.2.0 - name: Check whether the citation metadata from CITATION.cff is valid uses: citation-file-format/cffconvert-github-action@4cf11baa70a673bfdf9dad0acc7ee33b3f4b6084 # v2.0.0 with:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Sep 12 16:40:29 GMT 2023 - 1.3K bytes - Viewed (0) -
tensorflow/c/c_api.h
// The distinction between an empty array of operations and no // array of operations is necessary to distinguish the case of // creating a function with no body (e.g. identity or permutation) // and the case of creating a function whose body contains all // the nodes in the graph (except for the automatic skipping, see // below).
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) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
std::vector<TensorHandlePtr> components, absl::Span<const int64_t> shape, TF_Status* status) { if (components.empty()) { TF_SetStatus(status, TF_INTERNAL, "No components are provide for creating a ParallelTensor"); return nullptr; } TFE_TensorHandleGetStatus(components[0].get(), status); if (!status->status.ok()) { return nullptr; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
ci/official/utilities/extract_resultstore_links.py
testsuite = ElemTree.SubElement(testsuites, 'testsuite') for url, invocation_results in result_store_dict.items(): invocation_id = url.rsplit('/')[-1] if verbose: print(f'Creating testcase for invocation {invocation_id}') status = invocation_results['status'] command = invocation_results.get('command') command_type = invocation_results.get('command_type')
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Nov 08 17:50:27 GMT 2023 - 10.9K bytes - Viewed (0)