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

  1. tensorflow/compiler/jit/xla_tensor.cc

                                           const xla::Shape& on_device_shape,
                                           xla::LocalClient* client,
                                           int device_ordinal) {
      xla::Shape on_host_shape =
          xla::ShapeUtil::DeviceShapeToHostShape(on_device_shape);
      xla::ScopedShapedBuffer shaped_buffer(on_host_shape, on_device_shape,
                                            client->backend().memory_allocator(),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 08:47:20 UTC 2024
    - 4.5K bytes
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  2. tensorflow/compiler/jit/xla_tensor.h

      // shape. If a ShapedBuffer exists already (has_shaped_buffer() == true), it
      // is replaced and the managed memory deallocated.
      Status AllocateShapedBuffer(DataType dtype, const xla::Shape& on_device_shape,
                                  xla::LocalClient* client, int device_ordinal);
    
      // Some Tensors can have complex on-device shapes, including tuple shapes. To
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Sep 06 19:12:29 UTC 2023
    - 4.7K bytes
    - Viewed (0)
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