Spaces:
Running
Running
File size: 3,110 Bytes
aad5337 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
# Copyright (c) 2024 Bytedance Ltd. and/or its affiliates
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch
import matplotlib.pyplot as plt
class Chart:
def __init__(self):
self.loss_list = []
def add_ckpt(self, ckpt_path, line_name):
ckpt = torch.load(ckpt_path, map_location="cpu")
train_step_list = ckpt["train_step_list"]
train_loss_list = ckpt["train_loss_list"]
val_step_list = ckpt["val_step_list"]
val_loss_list = ckpt["val_loss_list"]
val_step_list = [val_step_list[0]] + val_step_list[4::5]
val_loss_list = [val_loss_list[0]] + val_loss_list[4::5]
self.loss_list.append((line_name, train_step_list, train_loss_list, val_step_list, val_loss_list))
def draw(self, save_path, plot_val=True):
# Global settings
plt.rcParams["font.size"] = 14
plt.rcParams["font.family"] = "serif"
plt.rcParams["font.sans-serif"] = ["Arial", "DejaVu Sans", "Lucida Grande"]
plt.rcParams["font.serif"] = ["Times New Roman", "DejaVu Serif"]
# Creating the plot
plt.figure(figsize=(7.766, 4.8)) # Golden ratio
for loss in self.loss_list:
if plot_val:
(line,) = plt.plot(loss[1], loss[2], label=loss[0], linewidth=0.5, alpha=0.5)
line_color = line.get_color()
plt.plot(loss[3], loss[4], linewidth=1.5, color=line_color)
else:
plt.plot(loss[1], loss[2], label=loss[0], linewidth=1)
plt.xlabel("Step")
plt.ylabel("Loss")
legend = plt.legend()
# legend = plt.legend(loc='upper right', bbox_to_anchor=(1, 0.82))
# Adjust the linewidth of legend
for line in legend.get_lines():
line.set_linewidth(2)
plt.savefig(save_path, transparent=True)
plt.close()
if __name__ == "__main__":
chart = Chart()
# chart.add_ckpt("output/syncnet/train-2024_10_25-18:14:43/checkpoints/checkpoint-10000.pt", "w/ self-attn")
# chart.add_ckpt("output/syncnet/train-2024_10_25-18:21:59/checkpoints/checkpoint-10000.pt", "w/o self-attn")
chart.add_ckpt("output/syncnet/train-2024_10_24-21:03:11/checkpoints/checkpoint-10000.pt", "Dim 512")
chart.add_ckpt("output/syncnet/train-2024_10_25-18:21:59/checkpoints/checkpoint-10000.pt", "Dim 2048")
chart.add_ckpt("output/syncnet/train-2024_10_24-22:37:04/checkpoints/checkpoint-10000.pt", "Dim 4096")
chart.add_ckpt("output/syncnet/train-2024_10_25-02:30:17/checkpoints/checkpoint-10000.pt", "Dim 6144")
chart.draw("ablation.pdf", plot_val=True)
|