을 따라하다가
TypeError:
Cannot convert a MPS Tensor to float64 dtype as the MPS framework
doesn't support float64. Please use float32 instead.
def evaluate(length):
input = torch.tensor(data_train[-24*7*2:]).reshape(1,-1,1).\
to(device).float().to(device)
output = torch.tensor(data_train[-1].reshape(1,-1,1)).float().\
to(device)
model.eval()
for i in range(length):
src_mask = model.generate_square_subsequent_mask(input.shape[1]).to(device)
tgt_mask = model.generate_square_subsequent_mask(output.shape[1]).to(device)
predictions = model(input, output, src_mask, tgt_mask).transpose(0,1)
predictions = predictions[:, -1:, :]
output = torch.cat([output, predictions.to(device)], axis=1)
return torch.squeeze(output, axis=0).detach().cpu().numpy()[1:]
result = evaluate(24*7)
result = min_max_scaler.inverse_transform(result)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[29], line 1
----> 1 result = evaluate(24*7)
2 result = min_max_scaler.inverse_transform(result)
3 real = rawdata["평균속도"].to_numpy()
Cell In[28], line 2
1 def evaluate(length):
----> 2 input = torch.tensor(data_train[-24*7*2:]).reshape(1,-1,1).to(device).float().to(device)
3 output = torch.tensor(data_train[-1].reshape(1,-1,1)).float().to(device)
4 model.eval()
TypeError: Cannot convert a MPS Tensor to float64 dtype as the MPS framework
doesn't support float64. Please use float32 instead.
에러가 발생하여
def evaluate(length):
input = torch.tensor(data_train[-24*7*2:]).reshape(1,-1,1).\
to(torch.float32).to(device)
output = torch.tensor(data_train[-1].reshape(1,-1,1)).float().\
to(device)
model.eval()
for i in range(length):
src_mask = model.generate_square_subsequent_mask(input.shape[1]).\
to(device)
tgt_mask = model.generate_square_subsequent_mask(output.shape[1]).\
to(device)
predictions = model(input, output, src_mask, tgt_mask).transpose(0,1)
predictions = predictions[:, -1:, :]
output = torch.cat([output, predictions.to(device)], axis=1)
return torch.squeeze(output, axis=0).detach().cpu().numpy()[1:]
이렇게 수정하니 정상으로 실행이 되었습니다.(2024.6.7)
즉 .to(device).float().to(device) => .to(torch.float32).to(device)
아! 인텔맥을 살까 M1 맥을 살까 고민하다 부트캠프 때문에 인텔맥을 선택한 아쉬움....
