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tensorflow/c/experimental/filesystem/filesystem_interface.h
void (*sync)(const TF_WritableFile* file, TF_Status* status); /// Closes `*file`. /// /// Flushes all buffers and deallocates all resources. /// /// Calling `close` must not result in calling `cleanup`. /// /// Core TensorFlow will never call `close` twice. void (*close)(const TF_WritableFile* file, TF_Status* status); } TF_WritableFileOps;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
SECURITY.md
## Untrusted inputs during training and prediction TensorFlow supports a wide range of input data formats. For example it can process images, audio, videos, and text. There are several modules specialized in taking those formats, modifying them, and/or converting them to intermediate formats that can be processed by TensorFlow. These modifications and conversions are handled by a variety of libraries that
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.h
/// filesystem (e.g. GCS). class RamFileBlockCache { public: /// The callback executed when a block is not found in the cache, and needs to /// be fetched from the backing filesystem. This callback is provided when the /// cache is constructed. It returns total bytes read ( -1 in case of errors /// ). The `status` should be `TF_OK` as long as the read from the remote
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Aug 31 04:46:34 GMT 2020 - 10.6K bytes - Viewed (0) -
RELEASE.md
* Improvements and fixes in Keras loss masking: * Whether you represent a ragged tensor as a `tf.RaggedTensor` or using [keras masking](https://www.tensorflow.org/guide/keras/masking_and_padding), the returned loss values should be the identical to each other. In previous versions Keras may have silently ignored the mask.
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tensorflow/c/eager/c_api_unified_experimental_graph.cc
"SetOpName called on already built op."); } if (op_type_.empty()) { return errors::FailedPrecondition( "GraphOperation::Reset must be called before calling SetOpName."); } // TODO(b/145674566): We use Graph::NewName to get a unique name here but // this may not be consistent with python's naming policy. mutex_lock l(g_->mu);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/eager/tape.h
// Tell the forward accumulator to watch tensor_id, with a Tensor tangent // vector `tangent` of matching shape and dtype. Tangents are the "vector" in // "Jacobian-vector product"; `Watch`ing a new Tensor and immediately calling // FetchJVP for it would return `tangent`. void Watch(int64_t tensor_id, Gradient* tangent); // Removes the gradient associated with tensor_id. Should be called when the
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/c_api_experimental.h
// in `input_shapes`. // // The results are returned in `output_shapes` and // `output_resource_shapes_and_types`. The caller is responsible for freeing the // memory in these buffers by calling `TF_DeleteShapeAndTypeList`. TF_CAPI_EXPORT extern void TFE_InferShapes( TFE_Op* op, TF_ShapeAndTypeList* input_shapes, TF_Tensor** input_tensors, TF_ShapeAndTypeList* input_tensor_as_shapes,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 15.1K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
memcpy(ret, debug_str.c_str(), *len + 1); return ret; } // On success, returns a set of TF_Function instances from `text_proto` of // GraphDef type. These functions must be deleted by calling TF_DeleteFunction. // // If `mutate_proto_func` is non-NULL, run it over each FunctionDef proto, // before creating a TF_Function out of the possibly mutated proto.
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tensorflow/c/c_api.h
// materialized in the address space of the calling process. // * int is used as an index into arrays. // * Deletion functions are safe to call on nullptr. // // Questions left to address: // * Might at some point need a way for callers to provide their own Env. // * Maybe add TF_TensorShape that encapsulates dimension info. // // Design decisions made: // * Backing store for tensor memory has an associated deallocation
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.cc
// TODO(allenl): We should remove "TPU" from these op names at the very least, // or consider other ways of packing/unpacking parallel tensors. if (operation_name == std::string("TPUReplicatedInput")) { // Special-cased operation for packing per-device tensors into one parallel // tensor. if (inputs.size() != parallel_device.num_underlying_devices()) { std::string message(absl::StrCat(
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