Skip to main content

ShapeGuard is a tool to help with handling shapes in Tensorflow.

Project description

Shape Guard

ShapeGuard is a tool to help with handling shapes in Tensorflow.

Basic Usage

import tensorflow as tf
from shapeguard import ShapeGuard

sg = ShapeGuard()

img = tf.ones([64, 32, 32, 3])
flat_img = tf.ones([64, 1024])
labels = tf.ones([64])

# check shape consistency
sg.guard(img, "B, H, W, C")
sg.guard(labels, "B, 1")  # raises error because of rank mismatch
sg.guard(flat_img, "B, H*W*C")  # raises error because 1024 != 32*32*3

# guard also returns the tensor, so it can be inlined
mean_img = sg.guard(tf.reduce_mean(img, axis=0), "H, W, C")

# more readable reshapes
flat_img = sg.reshape(img, 'B, H*W*C')

# evaluate templates
assert sg['H, W*C+1'] == [32, 97]

# attribute access to inferred dimensions
assert sg.B == 64

Shape Template Syntax

The shape template mini-DSL supports many different ways of specifying shapes:

  • numbers: "64, 32, 32, 3"
  • named dimensions: "B, width, height2, channels"
  • wildcards: "B, *, *, *"
  • ellipsis: "B, ..., 3"
  • addition, subtraction, multiplication, division: "B*N, W/2, H*(C+1)"
  • dynamic dimensions: "?, H, W, C" (only matches [None, H, W, C])

DISCLAIMER

This is not an officially supported Google product.


Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for shapeguard, version 0.1.1
Filename, size File type Python version Upload date Hashes
Filename, size shapeguard-0.1.1-py3-none-any.whl (32.9 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size shapeguard-0.1.1.tar.gz (29.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page