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edge-mdt-cl

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library1.1.1pypypi✓ verified 81d ago

Edge MDT Custom Layers provides custom TensorFlow/Keras layers for edge machine learning deployment. Current version 1.1.1, requires Python >=3.10. Release cadence is irregular, primarily updates for bug fixes.

ai-ml
pip install edge-mdt-cl
package ↗
INSTALL
IMPORT
SIG · EDGE-MDT-CL
E
edge-mdt-cl
ai-mlpythonv1.1.1
harness data pending
Install & Compatibility
Where this runs

No compatibility data collected yet for this library.

Code
Verified usage

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

pinned_pip_requirements
✓ from edgemdt_cl import pinned_pip_requirements
✗ from edge_mdt_cl.layers import MDTLayer
required_libraries
✓ from edgemdt_cl import required_libraries
✗ from edge_mdt_cl.layers import MDTLayer

Demonstrates creating an MDTLayer with 32 units and applying it to random input.

import tensorflow as tf from edge_mdt_cl.layers import MDTLayer layer = MDTLayer(units=32) input_tensor = tf.random.normal([1, 64]) output = layer(input_tensor) print(output.shape)
Debug
Known issues
breakingVersion 1.0.0 renamed all layers from `edge_mdt_cl.<name>` to submodule `edge_mdt_cl.layers`.
fix
Update imports: `from edge_mdt_cl.layers import LayerName` instead of `from edge_mdt_cl import LayerName`.
affects: >=1.0.0
gotchaRequires TensorFlow 2.x; not compatible with TensorFlow 1.x.
fix
Install TensorFlow version >=2.0.
affects: all
Upgrade
Version history
1.1.1latest on PyPI · released Jan 26, 2026
Audit
Dependencies
tensorflowrequiredRequired for layer operations; must be installed separately.
numpyrequiredUsed for numerical computations.
Agent activity
15 hits · last 30 days
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12
Amazon
1
OpenAI (training)
1
Resources
packagehttps://pypi.org/project/edge-mdt-cl/ ↗
edge-mdt-cl — pip install edge-mdt-cl · libregistry