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Support cuda tensor in vineyard. #2019

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Support cuda tensor in vineyard. #2019

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11 changes: 10 additions & 1 deletion python/vineyard/contrib/ml/torch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -145,7 +145,12 @@ def torch_tensor_builder(client, value, **kw):

meta['typename'] = 'vineyard::Tensor<%s>' % str(value.dtype)
meta['value_type_'] = str(value.dtype)
meta.add_member('buffer_', build_torch_buffer(client, value))
if value.is_cuda:
meta['device_'] = str(value.device)
value_in_cpu = value.to('cpu')
meta.add_member('buffer_', build_torch_buffer(client, value_in_cpu))
else:
meta.add_member('buffer_', build_torch_buffer(client, value))

return client.create_metadata(meta)

Expand All @@ -157,6 +162,7 @@ def torch_tensor_resolver(obj):
value_type = normalize_tensor_dtype(value_type_name)
shape = from_json(meta['shape_'])
order = from_json(meta.get('order_', 'C'))
device = meta.get('device_', 'cpu')

if np.prod(shape) == 0:
return torch.zeros(shape, dtype=value_type)
Expand All @@ -167,6 +173,9 @@ def torch_tensor_resolver(obj):

c_tensor = torch.frombuffer(buffer, dtype=value_type).reshape(shape)
tensor = c_tensor if order == 'C' else c_tensor.contiguous()
if "cuda" in device:
cuda_device = torch.device(device)
tensor = c_tensor.to(cuda_device)

return tensor

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