mirror of
https://github.com/vee1e/tflite-micro.git
synced 2026-09-05 03:37:32 +00:00
bbf70db499
Add a fluent builder API for creating compression specifications
without writing YAML strings. This is useful in scripts and
Jupyter notebooks.
Example usage:
spec = (compression.SpecBuilder()
.add_tensor(subgraph=0, tensor=2)
.with_lut(index_bitwidth=4)
.build())
BUG=#3125
Co-authored-by: suleshahid <110432064+suleshahid@users.noreply.github.com>
27 lines
1,008 B
Python
27 lines
1,008 B
Python
# Copyright 2025 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""TensorFlow Lite for Microcontrollers compression module."""
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# This __init__.py file exists to make compression features available as part
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# of the tflite_micro Python package.
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#
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# Usage example:
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# from tflite_micro import compression
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# ...
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from .compress import compress
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from .spec import parse_yaml
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from .spec_builder import SpecBuilder
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__all__ = ["compress", "parse_yaml", "SpecBuilder"]
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