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Results 1 - 10 of 215 for device_ (0.09 seconds)

  1. tensorflow/c/eager/c_api.cc

        TF_Status status;
        // Let this custom device choose the device to pin this op on if it
        // implements the pinning function.
        if (device_.shall_pin_to_this_device != nullptr) {
          return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status);
        }
        return errors::Unimplemented("No custom device pinning implementation.");
      }
    
     private:
      TFE_Context* context_;
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Fri Nov 07 05:55:21 GMT 2025
    - 43.9K bytes
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  2. tensorflow/c/eager/c_api_test.cc

        }
        auto tag = tensorflow::strings::StrCat("Device #", i, " (", name, ")");
        // Copy to device
        TFE_TensorHandle* hdevice =
            TFE_TensorHandleCopyToDevice(hcpu, ctx, name.c_str(), status.get());
        if (TF_GetCode(status.get()) != TF_OK) {
          ADD_FAILURE() << tag << " -- " << TF_Message(status.get());
          continue;
        }
        // Copy from device to the same device.
        TFE_TensorHandle* hdevice2 =
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Thu Oct 09 05:56:18 GMT 2025
    - 94.6K bytes
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  3. tensorflow/c/eager/custom_device_test.cc

      ASSERT_TRUE(executed);
      TFE_DeleteTensorHandle(retval);
    
      // Custom device: inputs in different custom devices fails.
      matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcustom1.get()));
      num_retvals = 1;
      TFE_Execute(matmul.get(), &retval, &num_retvals, status.get());
      ASSERT_NE(TF_OK, TF_GetCode(status.get()));
      ASSERT_TRUE(absl::StrContains(TF_Message(status.get()), custom0));
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Thu Aug 27 23:39:24 GMT 2020
    - 18.4K bytes
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  4. tensorflow/c/eager/immediate_execution_tensor_handle.h

      // devices.
      virtual absl::Status Dim(int dim_index, int64_t* dim) const = 0;
    
      // Returns the device which created the handle.
      virtual const char* DeviceName(absl::Status* status) const = 0;
      // Returns the device where the tensor was placed.
      virtual const char* BackingDeviceName(absl::Status* status) const = 0;
      // Returns the device type which created the handle.
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 12 05:11:17 GMT 2024
    - 4.3K bytes
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  5. tensorflow/c/eager/c_api_experimental.h

    //
    // device_info is an opaque caller-defined type stored with the custom device
    // which is passed to the functions referenced in the TFE_CustomDevice struct
    // `device` (execute, delete_device, etc.). It can for example contain the
    // names of wrapped devices.
    //
    // There are currently no graph semantics implemented for registered custom
    // devices, so executing tf.functions which contain operations placed on the
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Wed Feb 21 22:37:46 GMT 2024
    - 39.5K bytes
    - Click Count (1)
  6. tensorflow/c/eager/immediate_execution_context.h

      virtual bool UsesTFRT() = 0;
    
      // List attributes of available devices
      virtual void ListDevices(std::vector<DeviceAttributes>* devices) = 0;
    
      // Add `devices` into context's device manager. Context's device manager
      // will take ownership and maintain devices' lifetime.
      virtual absl::Status AddDevices(
          std::vector<std::unique_ptr<Device>> devices) = 0;
    
      // Block until all pending nodes are finished.
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 12 05:11:17 GMT 2024
    - 12.3K bytes
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  7. tensorflow/c/eager/c_api_experimental.cc

      // in an initialized context.
      for (auto d = devices.begin(); d != devices.end();) {
        if (absl::StrContains(d->get()->name(), "CPU:0")) {
          d = devices.erase(d);
        } else {
          ++d;
        }
      }
    
      status->status = tensorflow::unwrap(ctx)->AddDevices(std::move(devices));
    }
    
    void TFE_InsertConfigKeyValue(TFE_Context* ctx, const char* key,
                                  const char* value, TF_Status* status) {
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Sat Oct 12 05:11:17 GMT 2024
    - 35.9K bytes
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  8. tensorflow/c/eager/c_api_experimental_test.cc

      float* m_float = static_cast<float*>(TF_TensorData(m_data));
      TF_DeviceList* devices = TFE_ContextListDevices(ctx, status);
      CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
      int num_devices = TF_DeviceListCount(devices);
      for (int d = 0; d < num_devices; ++d) {
        const char* name = TF_DeviceListName(devices, d, status);
        CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Thu Oct 09 05:56:18 GMT 2025
    - 31.5K bytes
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  9. android/guava/src/com/google/common/base/Ascii.java

       *
       * @since 8.0
       */
      public static final byte DLE = 16;
    
      /**
       * Device Control 1. Characters for the control of ancillary devices associated with data
       * processing or telecommunication systems, more especially switching devices "on" or "off." (If a
       * single "stop" control is required to interrupt or turn off ancillary devices, DC4 is the
       * preferred assignment.)
       *
       * @since 8.0
       */
    Created: Fri Apr 03 12:43:13 GMT 2026
    - Last Modified: Mon Mar 17 20:26:29 GMT 2025
    - 21.7K bytes
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  10. tensorflow/c/eager/c_api.h

    // Controls how to act when we try to run an operation on a given device but
    // some input tensors are not on that device.
    // LINT.IfChange
    // Note: Keep in sync with internal copy of enum in eager/context.h.
    typedef enum TFE_ContextDevicePlacementPolicy {
      // Running operations with input tensors on the wrong device will fail.
      TFE_DEVICE_PLACEMENT_EXPLICIT = 0,
      // Copy the tensor to the right device but log a warning.
      TFE_DEVICE_PLACEMENT_WARN = 1,
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Thu Apr 27 21:07:00 GMT 2023
    - 22.8K bytes
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