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Show model size for pytorch models

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D-X-Y
2021-03-05 12:46:41 +00:00
parent 131f0e2e67
commit 49697b1f15
6 changed files with 36 additions and 13 deletions
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10
qlib/contrib/model/pytorch_gats_ts.py
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@@ -24,6 +24,7 @@ import torch.optim as optim
from torch.utils.data import DataLoader
from torch.utils.data import Sampler
from .pytorch_utils import count_parameters
from ...model.base import Model
from ...data.dataset import DatasetH
from ...data.dataset.handler import DataHandlerLP
@@ -62,8 +63,8 @@ class GATs(Model):
the evaluate metric used in early stop
optimizer : str
optimizer name
GPU : str
the GPU ID(s) used for training
GPU : int
the GPU ID used for training
"""
def __init__(
@@ -104,7 +105,7 @@ class GATs(Model):
self.base_model = base_model
self.with_pretrain = with_pretrain
self.model_path = model_path
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.n_jobs = n_jobs
self.use_gpu = torch.cuda.is_available()
self.seed = seed
@@ -157,6 +158,9 @@ class GATs(Model):
dropout=self.dropout,
base_model=self.base_model,
)
self.logger.info("model:\n{:}".format(self.GAT_model))
self.logger.info("model size: {:.4f} MB".format(count_parameters(self.GAT_model)))
if optimizer.lower() == "adam":
self.train_optimizer = optim.Adam(self.GAT_model.parameters(), lr=self.lr)
elif optimizer.lower() == "gd":