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Fix many bugs in TabNet and use_gpu

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This commit is contained in:
D-X-Y
2021-03-12 02:42:25 +00:00
parent f6b019dcec
commit 67fbdafe76
14 changed files with 70 additions and 49 deletions
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10
qlib/contrib/model/pytorch_gru.py
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@@ -78,7 +78,6 @@ class GRU(Model):
self.optimizer = optimizer.lower()
self.loss = loss
self.device = torch.device("cuda:%d" % (GPU) if torch.cuda.is_available() and GPU >= 0 else "cpu")
self.use_gpu = torch.cuda.is_available()
self.seed = seed
self.logger.info(
@@ -137,6 +136,10 @@ class GRU(Model):
self.fitted = False
self.gru_model.to(self.device)
@property
def use_gpu(self):
self.device == torch.device("cpu")
def mse(self, pred, label):
loss = (pred - label) ** 2
return torch.mean(loss)
@@ -292,10 +295,7 @@ class GRU(Model):
x_batch = torch.from_numpy(x_values[begin:end]).float().to(self.device)
with torch.no_grad():
if self.use_gpu:
pred = self.gru_model(x_batch).detach().cpu().numpy()
else:
pred = self.gru_model(x_batch).detach().numpy()
pred = self.gru_model(x_batch).detach().cpu().numpy()
preds.append(pred)