def show_mpl():
cli = tw.WatcherClient()
p = tw.LinePlot(title='Demo')
s1 = cli.create_stream(expr='lambda v:(v.i, v.sum)')
p.subscribe(s1, xtitle='Index', ytitle='sqrt(ev_i)')
p.show()
tw.plt_loop()
def mpl_line_plot():
cli = tw.WatcherClient()
p = tw.LinePlot(title='Demo')
s1 = cli.create_stream(event_name='ev_i',
expr='map(lambda v:math.sqrt(v.val)*2, l)')
p.subscribe(s1, xtitle='Index', ytitle='sqrt(ev_i)')
p.show()
tw.plt_loop()
def show_mpl():
cli = tw.WatcherClient(r'c:\temp\sum.log')
s1 = cli.open_stream('sum')
p = tw.LinePlot(title='Demo')
p.subscribe(s1, xtitle='Index', ytitle='sqrt(ev_i)')
s1.load()
p.show()
tw.plt_loop()
def show_find_lr():
cli_train = tw.WatcherClient()
plot = tw.LinePlot()
train_batch_loss = cli_train.create_stream(
event_name='batch',
expr='lambda d:(d.tt.scheduler.get_lr()[0], d.metrics.batch_loss)')
plot.subscribe(train_batch_loss, xtitle='Epoch', ytitle='Loss')
utils.wait_key()
def mpl_history_plot():
cli = tw.WatcherClient()
p2 = tw.LinePlot(title='History Demo')
p2s1 = cli.create_stream(
event_name='ev_j', expr='map(lambda v:(v.val, math.sqrt(v.val)*2), l)')
p2.subscribe(p2s1,
xtitle='Index',
ytitle='sqrt(ev_j)',
clear_after_end=True,
history_len=15)
p2.show()
tw.plt_loop()
def plot_weight():
train_cli = tw.WatcherClient()
params = train_cli.create_stream(event_name='batch',
expr='lambda d:weights_abs_mean(d.model)',
throttle=1)
params_plot = tw.LinePlot()
params_plot.subscribe(params,
xtitle='Layer',
ytitle='avg |params|',
clear_after_each=1,
history_len=40,
dim_history=True)
params_plot.show()
tw.plt_loop()
def plot_grads():
train_cli = tw.WatcherClient()
grads = train_cli.create_stream(event_name='batch',
expr='lambda d:grads_abs_mean(d.model)',
throttle=1)
grad_plot = tw.LinePlot()
grad_plot.subscribe(grads,
xtitle='Layer',
ytitle='Gradients',
clear_after_each=1,
history_len=40,
dim_history=True)
grad_plot.show()
tw.plt_loop()
def epoch_stats():
train_cli = tw.WatcherClient(port=0)
test_cli = tw.WatcherClient(port=1)
plot = tw.LinePlot()
train_loss = train_cli.create_stream(
event_name="epoch",
expr='lambda v:(v.metrics.epoch_index, v.metrics.epoch_loss)')
plot.subscribe(train_loss, xtitle='Epoch', ytitle='Train Loss')
test_acc = test_cli.create_stream(
event_name="epoch",
expr='lambda v:(v.metrics.epoch_index, v.metrics.epoch_accuracy)')
plot.subscribe(test_acc,
xtitle='Epoch',
ytitle='Test Accuracy',
ylim=(0, 1))
plot.show()
tw.plt_loop()