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31 changes: 30 additions & 1 deletion fluid/vgg16.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,7 @@
import paddle.v2.fluid.core as core
import argparse
import functools
from visualdl import LogWriter

parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
Expand All @@ -18,7 +19,7 @@
type=float,
default=1e-3,
help="Learning rate for training.")
parser.add_argument('--num_passes', type=int, default=50, help="No. of passes.")
parser.add_argument('--pass_num', type=int, default=50, help="Number of passes.")
parser.add_argument(
'--device',
type=str,
Expand All @@ -37,6 +38,21 @@
default='cifar10',
choices=['cifar10', 'flowers'],
help='Optional dataset for benchmark.')
parser.add_argument(
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help描述 首字母大写,下同

'--log_dir',
type=str,
default='./',
help='VisualDL output path')
parser.add_argument(
'--sync_cycle',
type=int,
default=100,
help='Synchronize duraion')
parser.add_argument(
'--sample_rate',
type=int,
default=100,
help='VisualDL sample rate')
args = parser.parse_args()


Expand Down Expand Up @@ -140,6 +156,16 @@ def test(exe):

return accuracy.eval(exe)

# init LogWriter
logw = LogWriter(args.log_dir, args.sync_cycle)

# create scalars in mode train and test.
with logw.mode('loss') as logger:
scalar0 = logger.scalar("paddle_vgg16_%s_%s_%d/scalar" % (args.device, args.data_set, args.batch_size))

with logw.mode('acc') as logger:
scalar1 = logger.scalar("paddle_vgg16_%s_%s_%d/scalar" % (args.device, args.data_set, args.batch_size))

iters = 0
for pass_id in range(args.num_passes):
# train
Expand All @@ -158,6 +184,9 @@ def test(exe):
fetch_list=[avg_cost] + accuracy.metrics)
iters += 1
num_samples += len(data)
if step % args.sample_rate == 0:
scalar0.add_record(iters, loss)
scalar1.add_record(iters, acc)
print(
"Pass = %d, Iters = %d, Loss = %f, Accuracy = %f" %
(pass_id, iters, loss, acc)
Expand Down