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tensorflow/c/eager/gradients.cc
for (int i = 0; i < target_tensor_ids.size(); ++i) { int64_t target_id = target_tensor_ids[i]; if (sources_set.find(target_id) != sources_set.end()) { auto tensor = targets[i]; sources_that_are_targets.insert( std::make_pair(target_id, TapeTensor(tensor))); } } TF_RETURN_IF_ERROR(GradientTape::ComputeGradient(
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/c_api.cc
const char* src_name, int src_index, TF_Output dst) { opts->tensor_id_data.push_back(src_name); const string& src_name_str = opts->tensor_id_data.back(); // We don't need to store dst's name in tensor_id_data, since `dst` must // outlive the ImportGraphDef call. opts->opts.input_map[TensorId(src_name_str, src_index)] = ToTensorId(dst); }
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/eager/gradients.h
// the op that produced it (or -1 if this tensor was watched using // `GradientTape::Watch`.) The op_id is simply a unique index assigned to each // op executed under the tape. A separate map (`tensorflow::eager::OpTape`) // maintains the map from `op_id` to a `OpTapeEntry` which stores the `op_type`, // inputs and outputs and the gradient function These data structures combined
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.h
TF_Status* status); // On success, enqueues `tensor` into a TF-managed FifoQueue given by // `tensor_id`, associated with `session`. There must be a graph node named // "fifo_queue_enqueue_<tensor_id>", to be executed by this API call. It reads // from a placeholder node "arg_tensor_enqueue_<tensor_id>". //
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/eager/c_api_experimental.h
bool use_tfrt); // Returns the context_id from the EagerContext which is used by the // EagerService to maintain consistency between client and worker. The // context_id is initialized with a dummy value and is later set when the worker // is initialized (either locally or remotely). The context_id can change during // the process lifetime although this should cause the worker to be
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) -
tensorflow/c/c_api_experimental.cc
} return ret; } TF_Tensor* TF_DequeueNamedTensor(TF_Session* session, int tensor_id, TF_Status* status) { assert(session); { tensorflow::mutex_lock c(session->graph->mu); VLOG(1) << "Dequeuing named tensor with id " << tensor_id << ", with input graph: " << session->graph->graph.ToGraphDefDebug().DebugString(); }
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/c_api_experimental.cc
auto* task_iter = static_cast<const tensorflow::CoordinatedTask*>(tasks.data); for (size_t i = 0; i < tasks.length; ++i) { task_vec[i].set_job_name(task_iter->job_name()); task_vec[i].set_task_id(task_iter->task_id()); ++task_iter; } auto results = coord_agent->GetTaskState(task_vec); if (!results.ok()) { status->status = results.status(); return; }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
if (TF_GetCode(status) != TF_OK) return; // unwrap op_ and set step_id only if valid step id value was set. // Currently only required for non-TFRT use cases, e.g., EagerOp. if (step_id_.has_value()) { tensorflow::unwrap(op_.get())->SetStepId(step_id_.value()); } TFE_Execute(op_.get(), unwrapped_results.data(), &real_num_outputs, status);
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) -
ci/official/utilities/extract_resultstore_links.py
testsuite = ElemTree.SubElement(testsuites, 'testsuite') for url, invocation_results in result_store_dict.items(): invocation_id = url.rsplit('/')[-1] if verbose: print(f'Creating testcase for invocation {invocation_id}') status = invocation_results['status'] command = invocation_results.get('command') command_type = invocation_results.get('command_type')
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Nov 08 17:50:27 GMT 2023 - 10.9K bytes - Viewed (0) -
ci/official/containers/linux_arm64/build.sh
[[ "$KOKORO_JOB_TYPE" == "CONTINUOUS_INTEGRATION" ]] || [[ "$KOKORO_JOB_TYPE" == "RELEASE" ]] } # Move into the directory of the script cd "$(dirname "$0")" if is_continuous_or_release || [[ -z "$KOKORO_BUILD_ID" ]]; then # A continuous job is the only one to publish to latest TAG="latest-multi-python" else # If it is a change, grab a good tag for iterative builds if [[ -z "${KOKORO_GITHUB_PULL_REQUEST_NUMBER}" ]]; then
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Nov 03 13:38:49 GMT 2023 - 2.3K bytes - Viewed (0)