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tensorflow/c/c_api.cc
// `src_inputs[i]` will have that input replaced with `dst_inputs[i]`. `prefix` // will be prepended to copied node names. `control_deps` are nodes in // `dst_graph` that the copied `src_graph` nodes will have control dependencies // on. `return_nodes` are nodes in `src_graph`, and the new corresponding nodes // in `dst_graph` will be returned. `return_nodes` must be non-null.
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
#include "tensorflow/c/tf_file_statistics.h" #include "tensorflow/c/tf_status.h" // Implementation of a filesystem for POSIX environments. // This filesystem will support `file://` and empty (local) URI schemes. static void* plugin_memory_allocate(size_t size) { return calloc(1, size); } static void plugin_memory_free(void* ptr) { free(ptr); }
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/c_api_experimental.cc
struct TF_AttrBuilder : public tensorflow::AttrBuilder { using tensorflow::AttrBuilder::AttrBuilder; // The string buffers to make sure that any `attr_name` we pass into // `builder->Set()` will outlive the subsequent // `TF_AttrBuilderCheckCanRunOnDevice()` call(s) on the same `builder`. std::set<std::string> attr_names; }; TF_AttrBuilder* TF_NewAttrBuilder(const char* op_name) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
#include "tensorflow/core/platform/logging.h" namespace tensorflow { namespace { // Managing context for the DLManagedTensor, will manage the lifetime of // DLManagedTensor. When calling DLManagedTensor::deleter, it will notify the // original framework of destruction, and this context will be deleted also. struct TfDlManagedTensorCtx { TensorReference reference; std::vector<int64_t> shape; std::vector<int64_t> strides;
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) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
#include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Register the POSIX filesystems statically. // Return value will be unused bool StaticallyRegisterLocalFilesystems() { TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 1.5K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
// TODO(srbs): It seems like this is used only for performance optimization // and not for correctness. The only downside of keeping this 1 seems to be // that the gradient accumulation is unbounded and we will never // aggressively aggregate accumulated gradients to recover memory. // Revisit and fix. return 1; } // Consumes references to the tensors in the gradient_tensors list and returns
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
// If the output is a scalar, then return the scalar output if (num_dims_out == 0) { outputs[0] = model_out.release(); return absl::OkStatus(); } // Else, reduce sum the output to get a scalar // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1]. AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out); int64_t vals_shape[] = {num_dims_out};
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
}; using ExecutorPtr = std::unique_ptr<TFE_Executor, ExecutorDeleter>; } // namespace // Allows a single op at a time to be launched without blocking. // // DeviceThread itself is thread-safe, in that StartExecute will block if there // is a pending execution. Since StartExecute is equivalent to grabbing a lock, // multiple DeviceThreads should always be accessed in the same order to avoid // deadlocks. class DeviceThread { public:
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/experimental/next_pluggable_device/c_api.cc
// ------------------------- VariableInfo ------------------------------------ struct TF_VariableInfo { TF_VariableInfo() = delete; // TF_VariableInfo is constructed here by TensorFlow, and will be passed to // plugin as a opaque pointer. Plugin will need to call C APIs below to // operate on TF_VariableInfo (such as allocate temp tensor for the `var` held // by the underlying tensorflow::VariableInfo.
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jan 09 00:52:04 GMT 2024 - 13.9K bytes - Viewed (1) -
tensorflow/c/c_api_function.cc
: absl::OkStatus(); } // Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and // does various checks while doing so. `input_nodes` will contain the same // information as input_tensors just in a different structure to make // following processing easier. TODO(iga): Simplify this nested structure. Status ProcessInputs(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)