mirror of https://github.com/hpcaitech/ColossalAI
30 lines
938 B
Python
30 lines
938 B
Python
import torch
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from colossalai.tensor.op_wrapper import colo_op_impl
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def validate_param(param, param_name):
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if param is None:
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raise ValueError(f"param: {param_name} shouldn't be None!")
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@colo_op_impl(torch.nn.init.uniform_)
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def colo_uniform(types, args=(), kwargs=None, pg=None):
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r"""
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Fills the Tensor in sharded_tensor.local_shards with values drawn from the uniform
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distribution :math:`\mathcal{U}(a, b)`.
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Args:
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sharded_tensor: tensor sharded across devices
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a: the lower bound of the uniform distribution
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b: the upper bound of the uniform distribution
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"""
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validate_param(kwargs, "kwargs")
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stateful_tensor = kwargs["tensor"]
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validate_param(stateful_tensor, "stateful_tensor")
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a = kwargs['a']
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validate_param(a, "a")
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b = kwargs['b']
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validate_param(b, "b")
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torch.nn.init.uniform_(stateful_tensor.torch_tensor(), a=a, b=b)
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return stateful_tensor
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