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tensorflow/c/eager/dlpack.cc
limitations under the License. ==============================================================================*/ #include "tensorflow/c/eager/dlpack.h" #include <string> #include "include/dlpack/dlpack.h" // from @dlpack #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/c/eager/tfe_tensorhandle_internal.h" #include "tensorflow/c/tf_status_internal.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
CONTRIBUTING.md
* Rebase your pull request onto a recent pull from [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch. 2. If you are changing the code and the docstring of a class/function/method, then you will need to [build TensorFlow from source](https://www.tensorflow.org/install/source). Once you are setup to build from source, you can run the tests: ```bash
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tensorflow/c/experimental/grappler/grappler.h
// must point to an array of length at least `num_values`. // // The elements of values will point to addresses in `storage` which must be at // least `storage_size` bytes in length. `num_values` and `storage` can be // obtained from TF_GetNodesToPreserveSize // // Fails if storage_size is too small to hold the requested number of strings. TF_CAPI_EXPORT extern void TF_GetNodesToPreserveList(
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tensorflow/c/experimental/filesystem/modular_filesystem_registration.cc
if (ops->filesystem_ops->new_read_only_memory_region_from_file != nullptr && ops->read_only_memory_region_ops == nullptr) return errors::FailedPrecondition( "Filesystem allows creation of readonly memory regions but no " "operations on them have been supplied."); return OkStatus(); } // Copies a function table from plugin memory space to core memory space. //
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tensorflow/c/eager/immediate_execution_context.h
virtual AbstractTensorInterface* CreateTensor( DataType dtype, absl::Span<const int64_t> dim_sizes) = 0; typedef void (*MemoryReleaser)(void* data, size_t len, void* arg); // Create a tensor instance from the given data buffer and description. // `memory_releaser` will be called on destruction, and it's responsible for // cleaning up the underlying buffer. virtual AbstractTensorInterface* CreateTensor(
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ci/official/utilities/code_check_full.bats
# Find all one-step dependencies of those tests which are from //tensorflow # (since external deps will come from Python-level pip dependencies), # excluding dependencies and files that are known to be unneccessary. # This creates a list of targets under //tensorflow that are required for
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
// The environment variable that overrides the block size for aligned reads from // GCS. Specified in MB (e.g. "16" = 16 x 1024 x 1024 = 16777216 bytes). constexpr char kBlockSize[] = "GCS_READ_CACHE_BLOCK_SIZE_MB"; constexpr size_t kDefaultBlockSize = 64 * 1024 * 1024; // The environment variable that overrides the max size of the LRU cache of // blocks read from GCS. Specified in MB. constexpr char kMaxCacheSize[] = "GCS_READ_CACHE_MAX_SIZE_MB";
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/eager/tape.h
std::function<void(BackwardFunction*)> backward_function_deleter; }; // Map from tensor_id to internally-defined operation-id of the operation which // produced this tensor. A value of -1 means that the tensor was directly // watched and not the result of any operation in the tape. using TensorTape = std::unordered_map<int64_t, int64_t>; // Map from operation-id to tape entry. template <typename BackwardFunction, typename TapeTensor>
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tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT extern char* TF_FunctionDebugString(TF_Function* func, size_t* len); // On success, dequeues a tensor from a TF-managed FifoQueue given by // `tensor_id`, associated with `session`. There must be a graph node named // "fifo_queue_dequeue_<tensor_id>", to be executed by this API call.
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tensorflow/c/c_api_experimental.cc
opts->opts.validate_colocation_constraints = enable; } // Load a Pluggable Device library. // On success, returns the handle to library in result and return OK from the // function. Otherwise return nullptr in result and error Status from the // function. // // If `library_filename` has already been loaded, we return a cached handle. // Device and Kernels/Ops are registered as globals when a library is loaded
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