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Results 1 - 2 of 2 for NumDevices (0.16 sec)

  1. tensorflow/compiler/mlir/tensorflow/utils/device_util_test.cc

      (*module_ref)->setAttr("tf.devices", device_dict);
    
      mlir::TF::RuntimeDevices devices;
      EXPECT_TRUE(mlir::succeeded(GetDevicesFromOp(*module_ref, &devices)));
    
      ASSERT_EQ(devices.NumDevices(), 1);
      ASSERT_EQ(devices.device_names().size(), 1);
      ASSERT_EQ(DeviceNameUtils::ParsedNameToString(devices.device_names()[0]),
                "/job:worker/replica:0/task:0/device:CPU:0");
    }
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 9.5K bytes
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  2. tensorflow/compiler/mlir/tensorflow/transforms/layout_optimization.cc

        return signalPassFailure();
    
      // If there is no runtime device information and data format is not explicitly
      // forced, there is nothing to do.
      if (devices.NumDevices() == 0 && force_data_format_.empty()) return;
    
      func.walk([&](LayoutSensitiveInterface layout_sensitive_interface) {
        // Get desired op data format.
        StringRef target_data_format = force_data_format_;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Apr 25 16:01:03 UTC 2024
    - 19.3K bytes
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