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.github/ISSUE_TEMPLATE/tflite-other.md
placeholder: e.g., 3.9 validations: required: false - type: input id: Bazel attributes: label: Bazel version description: if compiling from source placeholder: validations: required: false - type: input id: Compiler attributes: label: GCC/Compiler version description: if compiling from source placeholder: validations: required: false - type: input id: Cuda attributes: label: CUDA/cuDNN version description:
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ci/official/wheel_test/README.md
description will be provided once it's integrated into presubmit. ### test_import_api_packages This Python test verifies whether the API v2 packages can be imported from the current build. It utilizes the `_api/v2/api_packages.txt` list of packages from the local wheel file specified in the `requirements_lock_<python_version>.txt`. Packages are imported one by one in alphabetical order during runtime.
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ci/official/bisect.sh
# build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job) # TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job) # TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g. # ci/official/wheel.sh # TFCI: The env config path, relative to the TF root dir, e.g.
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Feb 01 03:21:19 GMT 2024 - 1.8K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.cc
if (!v2_reader_->status().ok()) { tsl::Set_TF_Status_from_Status(status, v2_reader_->status()); return; } auto result = BuildV2VarMaps(); var_to_shape_map_.swap(result.first); var_to_data_type_map_.swap(result.second); } else { reader_.reset(new TensorSliceReader(filename)); if (!reader_->status().ok()) { tsl::Set_TF_Status_from_Status(status, reader_->status()); return; }
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tensorflow/c/checkpoint_reader.h
bool HasTensor(const string& name) const; const string DebugString() const; // Returns a map from variable names to their shapes. Slices of a partitioned // tensor are combined into a single entry. const TensorSliceReader::VarToShapeMap& GetVariableToShapeMap() const; // Returns a map from variable names to their data types. Slices of a // partitioned tensor are combined into a single entry.
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
std::vector<char> out; // Read blocks from the cache, and verify the LRU behavior based on the // fetcher calls that the cache makes. calls.push_back(0); // Cache miss - drains an element from `calls`. TF_EXPECT_OK(ReadCache(&cache, "", 0, 1, &out)); // Cache hit - does not drain an element from `calls`. TF_EXPECT_OK(ReadCache(&cache, "", 0, 1, &out)); calls.push_back(block_size);
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
new_entry->lra_iterator = lra_list_.begin(); new_entry->timestamp = timer_seconds_(); block_map_.emplace(std::make_pair(key, new_entry)); return new_entry; } // Remove blocks from the cache until we do not exceed our maximum size. void RamFileBlockCache::Trim() { while (!lru_list_.empty() && cache_size_ > max_bytes_) { RemoveBlock(block_map_.find(lru_list_.back())); } }
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tensorflow/c/experimental/filesystem/plugins/posix/copy_file_portable.cc
#include <stdint.h> #include <unistd.h> #include <memory> #include "tensorflow/c/experimental/filesystem/plugins/posix/copy_file.h" namespace tf_posix_filesystem { // Transfers up to `size` bytes from `dst_fd` to `src_fd`. // // This method uses a temporary buffer to hold contents. int CopyFileContents(int dst_fd, int src_fd, off_t size) { // Use a copy buffer of 128KB but don't store it on the stack.
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Nov 22 21:23:55 GMT 2019 - 1.9K bytes - Viewed (0) -
tensorflow/c/c_op_requires.h
::tensorflow::Status _s(__VA_ARGS__); \ if (!TF_PREDICT_TRUE(_s.ok())) { \ ::tensorflow::Set_TF_Status_from_Status(C_STATUS, _s); \ TF_OpKernelContext_Failure(CTX, C_STATUS); \ TF_DeleteStatus(C_STATUS); \ return; \
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tensorflow/c/c_api_internal.h
struct TF_Graph { TF_Graph(); mutable tensorflow::mutex mu; tensorflow::Graph graph TF_GUARDED_BY(mu); // Runs shape inference. tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu); // Maps from name of an operation to the Node* in 'graph'. std::unordered_map<tensorflow::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu); // The keys of this map are all the active sessions using this graph. Each
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