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Add count_parameters for pytorch models in contrib

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D-X-Y
2021-03-05 12:07:43 +00:00
parent b14a559a52
commit 131f0e2e67
8 changed files with 47 additions and 14 deletions
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6
qlib/contrib/model/pytorch_gru.py
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@@ -23,6 +23,7 @@ import torch
import torch.nn as nn
import torch.optim as optim
from .pytorch_utils import count_parameters
from ...model.base import Model
from ...data.dataset import DatasetH
from ...data.dataset.handler import DataHandlerLP
@@ -76,7 +77,7 @@ class GRU(Model):
self.early_stop = early_stop
self.optimizer = optimizer.lower()
self.loss = loss
self.device = torch.device("cuda:%d" % (GPU) if torch.cuda.is_available() else "cpu")
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
@@ -123,6 +124,9 @@ class GRU(Model):
num_layers=self.num_layers,
dropout=self.dropout,
)
self.logger.info("model:\n{:}".format(self.gru_model))
self.logger.info("model size: {:.4f} MB".format(count_parameters(self.gru_model)))
if optimizer.lower() == "adam":
self.train_optimizer = optim.Adam(self.gru_model.parameters(), lr=self.lr)
elif optimizer.lower() == "gd":