mirror of https://github.com/hpcaitech/ColossalAI
30 lines
962 B
Python
30 lines
962 B
Python
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import torch
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from colossalai.tensor.op_wrapper import colo_op_impl
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from colossalai.tensor import ColoTensor
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@colo_op_impl(torch.mean)
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def colo_mean(types, args=(), kwargs=None, pg=None):
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stateful_tensor = args[0]
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return torch.mean(stateful_tensor.torch_tensor())
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def register_elementwise_op(op):
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@colo_op_impl(op)
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def elementwise_op(types, args=(), kwargs=None, pg=None):
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"""
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Handles ``__torch_function__`` dispatch for the elementwise op such
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as ``torch.nn.functional.gelu`` or ``torch.nn.functional.relu``.
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This method computes on either a normal tensor or a sharded tensor.
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"""
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input_tensor = args[0]
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# Validate types
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if not isinstance(input_tensor, ColoTensor):
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raise TypeError("input needs to be a ColoTensor")
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return op(input_tensor.torch_tensor())
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register_elementwise_op(torch.nn.functional.gelu)
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register_elementwise_op(torch.nn.functional.relu)
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