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tensorflow/c/c_api.cc
opts->opts.control_dependencies.push_back(oper->node.name()); } void TF_ImportGraphDefOptionsAddReturnOutput(TF_ImportGraphDefOptions* opts, const char* oper_name, int index) { opts->tensor_id_data.push_back(oper_name); const string& oper_name_str = opts->tensor_id_data.back(); opts->opts.return_tensors.emplace_back(oper_name_str, index); }
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/abstract_operation.h
std::vector<const char*> raw_strs; std::vector<size_t> lengths; raw_strs.reserve(values.size()); lengths.reserve(values.size()); for (const auto& s : values) { raw_strs.emplace_back(s.data()); lengths.emplace_back(s.size()); } return SetAttrStringList(attr_name, reinterpret_cast<const void**>(raw_strs.data()), lengths.data(), values.size()); }
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jul 14 16:20:41 GMT 2021 - 6.8K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
return wrap(unwrap(o)->outputs[i]); } void TF_OutputListPushBack(TF_OutputList* o, TF_AbstractTensor* tensor, TF_Status* s) { unwrap(o)->outputs.push_back(unwrap(tensor)); } void TF_AbstractOpSetOpType(TF_AbstractOp* op, const char* const op_type, TF_Status* s) { tsl::Set_TF_Status_from_Status( s, unwrap(op)->Reset(op_type,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
inputs_.clear(); for (const auto& p : inputs) { inputs_.emplace_back(TF_Output{p.first, 0}); input_values_.emplace_back(p.second); } } void CSession::SetOutputs(std::initializer_list<TF_Operation*> outputs) { ResetOutputValues(); outputs_.clear(); for (TF_Operation* o : outputs) { outputs_.emplace_back(TF_Output{o, 0}); } output_values_.resize(outputs_.size()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:52 GMT 2021 - 17.8K bytes - Viewed (2) -
tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
lru_list_.erase(insert.first->second.lru_iterator); insert.first->second = entry; } else if (max_entries_ > 0 && cache_.size() > max_entries_) { cache_.erase(lru_list_.back()); lru_list_.pop_back(); } } bool DeleteLocked(const std::string& key) ABSL_EXCLUSIVE_LOCKS_REQUIRED(mu_) { auto it = cache_.find(key); if (it == cache_.end()) { return false; }
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 09 19:31:22 GMT 2020 - 6.3K bytes - Viewed (0) -
tensorflow/c/eager/gradients.cc
forward_op_->inputs.push_back(input); return absl::OkStatus(); } Status AddInputList(AbstractOperation* op_, absl::Span<AbstractTensorHandle* const> inputs, ForwardOperation* forward_op_) { TF_RETURN_IF_ERROR(op_->AddInputList(inputs)); for (auto input : inputs) { forward_op_->inputs.push_back(input); } return absl::OkStatus(); }
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/experimental/gradients/array_grad_test.cc
}; TEST_P(CppGradients, TestIdentityNGrad) { // This test is interesting because the current implementation of GradientTape // would return [0, 1] whereas we use build_default_zeros_grads=false here // so we get back [nullptr, 1]. AbstractTensorHandlePtr x1; { AbstractTensorHandle* x1_raw = nullptr; status_ = TestScalarTensorHandle<float, TF_FLOAT>( immediate_execution_ctx_.get(), 1.0f, &x1_raw);
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
CONTRIBUTING.md
- If the PR passes all the quality checks then we go ahead and assign a reviewer. - If the PR didn't meet the validation criteria, we request for additional changes to be made to PR to pass quality checks and send it back or on a rare occasion we may reject it. **3. Review** - For a valid PR, reviewer (person familiar with the code/functionality) checks if the PR looks good or needs additional changes.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
RELEASE.md
* XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT compilation is enabled. * Fix problem, when running on a CUDA GPU and when either environment
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
std::vector<PartialTensorShape> shapes; shapes.reserve(num_values); for (int i = 0; i < num_values; ++i) { if (num_dims[i] < 0) { shapes.emplace_back(); } else { shapes.emplace_back(ArraySlice<int64_t>( reinterpret_cast<const int64_t*>(dims[i]), num_dims[i])); } } op_->node_builder.Attr(attr_name, shapes); return absl::OkStatus(); }
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)