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tensorflow/c/eager/c_api_experimental.h
// executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the // maximum number of in flight async nodes. Enqueuing of additional async ops // after the limit is reached blocks until some inflight nodes finishes. // The effect is bounding the memory held by inflight TensorHandles that are
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) -
RELEASE.md
* Fixes a number of `CHECK`-failures in `MapStage` ([CVE-2022-21734](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-21734)) * Fixes a division by zero in `FractionalMaxPool` ([CVE-2022-21735](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-21735)) * Fixes a number of `CHECK`-fails when building invalid/overflowing tensor shapes
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.github/workflows/sigbuild-docker-presubmit.yml
- `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.12` - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.11` - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.10` - `gcr.io/tensorflow-sigs/build:${{ github.event.number }}-python3.9`
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
size_t plugin_size) { if (plugin_ops == nullptr) return nullptr; size_t copy_size = std::min(plugin_size, sizeof(T)); auto core_ops = std::make_unique<T>(); memset(core_ops.get(), 0, sizeof(T)); memcpy(core_ops.get(), plugin_ops, copy_size); return core_ops; } // Registers one filesystem from the plugin. //
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
} private: /// The size of the blocks stored in the LRU cache, as well as the size of the /// reads from the underlying filesystem. const size_t block_size_; /// The maximum number of bytes (sum of block sizes) allowed in the LRU cache. const size_t max_bytes_; /// The maximum staleness of any block in the LRU cache, in seconds. const uint64_t max_staleness_;
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
constexpr uint64_t kDefaultMaxStaleness = 0; constexpr char kStatCacheMaxAge[] = "GCS_STAT_CACHE_MAX_AGE"; constexpr uint64_t kStatCacheDefaultMaxAge = 5; // The environment variable that overrides the maximum number of entries in the // Stat cache. constexpr char kStatCacheMaxEntries[] = "GCS_STAT_CACHE_MAX_ENTRIES"; constexpr size_t kStatCacheDefaultMaxEntries = 1024; // How to upload new data when Flush() is called multiple times.
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tensorflow/c/c_api_function_test.cc
} void VerifyFDefNodes(const tensorflow::FunctionDef& fdef, const std::unordered_set<string>& nodes) { ASSERT_EQ(nodes.size(), fdef.node_def_size()) << "Got unexpected number of nodes. Expected: [" << absl::StrJoin(nodes, ", ") << "] Actual nodes in fdef: " << fdef.DebugString(); for (const NodeDef& node_def : fdef.node_def()) {
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tensorflow/BUILD
filegroup( name = "tensorflow_def_file", srcs = [":tf_custom_op_library_additional_deps.dll"], output_group = "def_file", ) # Filter the DEF file to reduce the number of symbols to 64K or less. # Note that we also write the name of the pyd file into DEF file so that # the dynamic libraries of custom ops can find it at runtime. genrule( name = "tensorflow_filtered_def_file",
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.bazelrc
build:macos_arm64 --cpu=darwin_arm64 build:macos_arm64 --macos_minimum_os=11.0 # iOS configs for each architecture and the fat binary builds. build:ios --apple_platform_type=ios build:ios --apple_bitcode=embedded --copt=-fembed-bitcode build:ios --copt=-Wno-c++11-narrowing build:ios_armv7 --config=ios build:ios_armv7 --cpu=ios_armv7 build:ios_arm64 --config=ios build:ios_arm64 --cpu=ios_arm64 build:ios_arm64e --config=ios
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.github/workflows/create_issue.js
} const pr_number = parseInt(pr_match_groups[1]); const owner = context.payload.repository.owner.name; const repo = context.payload.repository.name; console.log(`Original PR: ${pr_number} and Rollback Commit: ${rollback_commit}`); // Get the Original PR Details const pr_resp = await github.rest.pulls.get({ owner, repo, pull_number: pr_number });
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