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Results 1 - 3 of 3 for Howard (0.15 sec)

  1. tensorflow/c/eager/gradients.cc

                 const char* raw_device_name, ForwardOperation* forward_op_) {
      forward_op_->op_name = op;
      forward_op_->attrs.Reset(op);
      return op_->Reset(op, raw_device_name);
    }
    Status AddInput(AbstractOperation* op_, AbstractTensorHandle* input,
                    ForwardOperation* forward_op_) {
      TF_RETURN_IF_ERROR(op_->AddInput(input));
      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)
  2. tensorflow/c/eager/parallel_device/parallel_device_lib.cc

        device_threads_.emplace_back(new DeviceThread(
            devices[device_index].c_str(), is_async, in_flight_nodes_limit));
      }
    }
    
    // Necessary for a unique_ptr to a forward-declared type.
    ParallelDevice::~ParallelDevice() = default;
    
    std::unique_ptr<ParallelTensor> ParallelDevice::CopyToParallelDevice(
        TFE_Context* context, TFE_TensorHandle* tensor, TF_Status* status) const {
    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)
  3. tensorflow/c/experimental/gradients/math_grad.cc

                                        vector<AbstractTensorHandle*> f_outputs)
          : forward_inputs_(f_inputs), forward_outputs_(f_outputs) {
        for (auto input : forward_inputs_) {
          if (input) {
            input->Ref();
          }
        }
        for (auto output : forward_outputs_) {
          if (output) {
            output->Ref();
          }
        }
      }
    
    C++
    - Registered: Tue Mar 26 12:39:09 GMT 2024
    - Last Modified: Wed Feb 28 13:53:47 GMT 2024
    - 15.2K bytes
    - Viewed (0)
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