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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
block->lra_iterator = lra_list_.begin(); block->timestamp = timer_seconds_(); } } }); // Loop until either block content is successfully fetched, or our request // encounters an error. absl::MutexLock l(&block->mu); TF_SetStatus(status, TF_OK, ""); while (true) { switch (block->state) { case FetchState::ERROR: // TF_FALLTHROUGH_INTENDED
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CONTRIBUTING.md
pull requests are approved and pass continuous integration checks, a TensorFlow team member will apply `ready to pull` label to your change. This means we are working on getting your pull request submitted to our internal repository. After the change has been submitted internally, your pull request will be merged automatically on GitHub. If you want to contribute, start working through the TensorFlow codebase, navigate to the
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
const size_t block_size = 16; int num_requests = 0; Notification notification; auto fetcher = [&num_requests, ¬ification, block_size]( const string& filename, size_t offset, size_t n, char* buffer, TF_Status* status) -> int64_t { EXPECT_EQ(n, block_size); EXPECT_EQ(offset, 0); num_requests++; memset(buffer, 'x', n); notification.Notify();
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LICENSE
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. CONTRIBUTION AGREEMENT By contributing to the BVLC/caffe repository through pull-request, comment, or otherwise, the contributor releases their content to the
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requirements_lock_3_10.txt
# via -r requirements.in certifi==2024.2.2 \ --hash=sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f \ --hash=sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1 # via requests charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \
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tensorflow/c/eager/c_api_experimental.h
TF_Status* status); // Sync pending nodes in local executors (including the context default executor // and thread executors) and streaming requests to remote executors, and get the // combined status. TF_CAPI_EXPORT extern void TFE_ContextAsyncWait(TFE_Context* ctx, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
requirements_lock_3_11.txt
# via -r requirements.in certifi==2024.2.2 \ --hash=sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f \ --hash=sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1 # via requests charset-normalizer==3.3.2 \ --hash=sha256:06435b539f889b1f6f4ac1758871aae42dc3a8c0e24ac9e60c2384973ad73027 \ --hash=sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087 \
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
// Forget the end-of-file flag to allow for clients that poll on the // same file. gcs_file->buffer_end_is_past_eof = false; TF_SetStatus(status, TF_OUT_OF_RANGE, "Read less bytes than requested"); return copy_size; } TF_SetStatus(status, TF_OK, ""); return copy_size; } } } // namespace tf_random_access_file // SECTION 2. Implementation for `TF_WritableFile`
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) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
// more than fits in a 32-bit integer. size_t requested_read_length; if (n > INT32_MAX) requested_read_length = INT32_MAX; else requested_read_length = n; // `pread` returns a `ssize_t` on POSIX, but due to interface being // cross-platform, return type of `Read` is `int64_t`. int64_t r = int64_t{pread(posix_file->fd, dst, requested_read_length,
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_cluster_test.cc
TEST(CAPI, TestRemoteExecuteUpdateServerDefResourceAccessAsync) { TestRemoteExecuteUpdateServerDefResourceAccess(true); } void TestRemoteExecuteUpdateServerDefWithFailures(bool async) { // Fail fast on GetStatus requests so we can get errors instead of timeout // when updating cluster with non-exsitent worker tensorflow::setenv("GRPC_FAIL_FAST", "TRUE", /*overwrite=*/1); tensorflow::ServerDef server_def = GetServerDef(2);
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