Created
June 13, 2020 00:27
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EmbeddingBag backward error repro
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| import torch | |
| import torch.nn as nn | |
| import torch_xla.core.xla_model as xm | |
| device = xm.xla_device() | |
| d = nn.EmbeddingBag(10, 10, mode="sum", sparse=False).to(device) | |
| inp = torch.LongTensor([1, 5, 9]).to(device) | |
| x = d(inp, offsets=torch.LongTensor([0]).to(device)) | |
| loss = x.sum() | |
| loss.backward() |
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