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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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7
qlib/contrib/model/pytorch_tabnet.py
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@@ -23,6 +23,7 @@ import torch.optim as optim
import torch.nn.functional as F
from torch.autograd import Function
from .pytorch_utils import count_parameters
from ...model.base import Model
from ...data.dataset import DatasetH
from ...data.dataset.handler import DataHandlerLP
@@ -49,7 +50,7 @@ class TabnetModel(Model):
loss="mse",
metric="",
early_stop=20,
GPU="1",
GPU=0,
pretrain_loss="custom",
ps=0.3,
lr=0.01,
@@ -75,7 +76,7 @@ class TabnetModel(Model):
self.n_epochs = n_epochs
self.logger = get_module_logger("TabNet")
self.pretrain_n_epochs = pretrain_n_epochs
self.device = "cuda:%s" % (GPU) if torch.cuda.is_available() else "cpu"
self.device = "cuda:%s" % (GPU) if torch.cuda.is_available() and GPU >= 0 else "cpu"
self.loss = loss
self.metric = metric
self.early_stop = early_stop
@@ -98,6 +99,8 @@ class TabnetModel(Model):
self.tabnet_decoder = TabNet_Decoder(self.out_dim, self.d_feat, n_shared, n_ind, vbs, n_steps, self.device).to(
self.device
)
self.logger.info("model:\n{:}\n{:}".format(self.tabnet_model, self.tabnet_decoder))
self.logger.info("model size: {:.4f} MB".format(count_parameters(self.tabnet_model) + count_parameters(self.tabnet_decoder)))
if optimizer.lower() == "adam":
self.pretrain_optimizer = optim.Adam(