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برق و الکترونیک::
تنسور خروجی
To create a placeholder node, you must call the placeholder() function and specify the output tensor's data type.
The TensorFlow whitepaper1 presents a friendly dynamic placer algorithm that auto‐ magically distributes operations across all available devices, taking into account things like the measured computation time in previous runs of the graph, estimations of the size of the input and output tensors to each operation, the amount of RAM available in each device, communication delay when transferring data in and out of
The first is a Python list containing the output tensors for each time step.
If there were 50 time steps, it would not be very convenient to have to define 50 input placeholders and 50 output tensors.
Finally, we merge all the output tensors into a single tensor using the stack() function, and we swap the first two dimensions to get a final outputs tensor
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