chore: remove hard code input dimension of model pytorch_tcts (#843)

Co-authored-by: Jiabao Qu <qujiabao@logiocean.com>

Author: PalanQu

qlib/contrib/model/pytorch_tcts.py

@@ -56,6 +56,7 @@ def __init__(
         loss="mse",
         fore_optimizer="adam",
         weight_optimizer="adam",
+        input_dim=360,
         output_dim=5,
         fore_lr=5e-7,
         weight_lr=5e-7,
@@ -83,6 +84,7 @@ def __init__(
         self.device = torch.device("cuda:%d" % (GPU) if torch.cuda.is_available() else "cpu")
         self.use_gpu = torch.cuda.is_available()
         self.seed = seed
+        self.input_dim = input_dim
         self.output_dim = output_dim
         self.fore_lr = fore_lr
         self.weight_lr = weight_lr
@@ -139,7 +141,6 @@ def loss_fn(self, pred, label, weight):
             raise NotImplementedError("mode {} is not supported!".format(self.mode))
 
     def train_epoch(self, x_train, y_train, x_valid, y_valid):
-
         x_train_values = x_train.values
         y_train_values = np.squeeze(y_train.values)
 
@@ -297,7 +298,7 @@ def training(
             dropout=self.dropout,
         )
         self.weight_model = MLPModel(
-            d_feat=360 + 3 * self.output_dim + 1,
+            d_feat=self.input_dim + 3 * self.output_dim + 1,
             hidden_size=self.hidden_size,
             num_layers=self.num_layers,
             dropout=self.dropout,