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Merge pull request SeanNaren#81 from SiddGururani/master
Added tensorboard logging
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# Code referenced from https://gist.github.com/gyglim/1f8dfb1b5c82627ae3efcfbbadb9f514 | ||
import tensorflow as tf | ||
import numpy as np | ||
import scipy.misc | ||
try: | ||
from StringIO import StringIO # Python 2.7 | ||
except ImportError: | ||
from io import BytesIO # Python 3.x | ||
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class Logger(object): | ||
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def __init__(self, log_dir): | ||
"""Create a summary writer logging to log_dir.""" | ||
self.writer = tf.summary.FileWriter(log_dir) | ||
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def scalar_summary(self, tag, value, step): | ||
"""Log a scalar variable.""" | ||
summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=value)]) | ||
self.writer.add_summary(summary, step) | ||
self.writer.flush() | ||
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def image_summary(self, tag, images, step): | ||
"""Log a list of images.""" | ||
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img_summaries = [] | ||
for i, img in enumerate(images): | ||
# Write the image to a string | ||
try: | ||
s = StringIO() | ||
except: | ||
s = BytesIO() | ||
scipy.misc.toimage(img).save(s, format="png") | ||
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# Create an Image object | ||
img_sum = tf.Summary.Image(encoded_image_string=s.getvalue(), | ||
height=img.shape[0], | ||
width=img.shape[1]) | ||
# Create a Summary value | ||
img_summaries.append(tf.Summary.Value(tag='%s/%d' % (tag, i), image=img_sum)) | ||
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# Create and write Summary | ||
summary = tf.Summary(value=img_summaries) | ||
self.writer.add_summary(summary, step) | ||
self.writer.flush() | ||
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def histo_summary(self, tag, values, step, bins=1000): | ||
"""Log a histogram of the tensor of values.""" | ||
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# Create a histogram using numpy | ||
counts, bin_edges = np.histogram(values, bins=bins) | ||
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# Fill the fields of the histogram proto | ||
hist = tf.HistogramProto() | ||
hist.min = float(np.min(values)) | ||
hist.max = float(np.max(values)) | ||
hist.num = int(np.prod(values.shape)) | ||
hist.sum = float(np.sum(values)) | ||
hist.sum_squares = float(np.sum(values**2)) | ||
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# Drop the start of the first bin | ||
bin_edges = bin_edges[1:] | ||
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# Add bin edges and counts | ||
for edge in bin_edges: | ||
hist.bucket_limit.append(edge) | ||
for c in counts: | ||
hist.bucket.append(c) | ||
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# Create and write Summary | ||
summary = tf.Summary(value=[tf.Summary.Value(tag=tag, histo=hist)]) | ||
self.writer.add_summary(summary, step) | ||
self.writer.flush() |
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