tf-slim

library1.1.0pypypiunverified

TF-Slim is a lightweight library for defining, training, and evaluating complex models in TensorFlow. The current version is 1.1.0, with no recent updates and likely in maintenance mode.

ai-ml

pip install tf-slim

github ↗package ↗docs ↗

INSTALL

IMPORT

SIG · TF-SLIM

tf-slim

ai-mlpythonv1.1.0

Install

1.9s avg

Import

—

Disk

21MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.1.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 22.3MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.9s · import 0.000s · 23MB

21MB installed

● package 21MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

slim

✓ import tf_slim as slim

✗ import tf_slim as slim

Load a pretrained ResNet-50 model using TF-Slim's model zoo.

import tensorflow as tf import tf_slim as slim inputs = tf.random.normal([4, 224, 224, 3]) nets = tf_slim.nets.resnet_v2 with slim.arg_scope(nets.resnet_arg_scope()): logits, _ = nets.resnet_v2_50(inputs, num_classes=1000, is_training=False) print(logits.shape)

Debug

Known issues

breakingTF-Slim was part of TensorFlow contrib, which was removed in TF 2.0. The standalone tf-slim package must be installed separately.

fix

Install tf-slim with pip and use 'import tf_slim as slim' instead of 'tensorflow.contrib.slim'.

affects: >=2.0.0

gotchaTF-Slim's TF 1.x APIs (e.g., slim.layers, slim.losses) are not fully compatible with eager execution. You may need to run inside tf.Graph().as_default() or disable eager execution.

fix

Use tf.compat.v1.disable_eager_execution() at the start of your script or wrap code in a graph context.

affects: all

deprecatedMany TF-Slim functions (e.g., slim.learning, slim.evaluation) are deprecated in favor of TensorFlow native APIs like tf.keras or tf.estimator.

fix

Consider migrating to tf.keras for model building and tf.train.Checkpoint/tf.function for training.

affects: >=1.1.0

Upgrade

Version history

1.1.0latest on PyPI · released May 7, 2020

Audit

Dependencies

tensorflowrequiredRequired runtime dependency

Agent activity

18 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/google-research/tf-slim ↗

packagehttps://pypi.org/project/tf-slim/ ↗

docshttps://github.com/google-research/tf-slim ↗