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feat(python): add compression module to tflite_micro Python package Integrate the TFLM compression tools into the tflite_micro Python package, allowing users to compress models directly from Python code that imports the package. Usage: from tflite_micro import compression Details: - Add compress_lib py_library target in compression BUILD - Create compression package with __init__.py exposing public API - Include compression module in Python package dependencies - Add compression dependencies to wheel requirements BUG=see description
31 lines
1.3 KiB
Python
31 lines
1.3 KiB
Python
# Copyright 2023 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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# ----
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# Define a public API for the package by providing aliases for modules which
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# are otherwise deeply nested in subpackages determined by their location in
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# the tflm source tree. Directly using modules and subpackages not explicitly
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# made part of the public API in code outside of the tflm source tree is
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# unsupported.
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from tflite_micro.python.tflite_micro import runtime
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# Unambiguously identify the source used to build the package.
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from tflite_micro.python.tflite_micro._version import __version__
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# Provide a convenient alias for the compression module
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from tflite_micro.tensorflow.lite.micro import compression
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# Ordered after `runtime` and `compression` to avoid circular dependencies
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from tflite_micro.python.tflite_micro import postinstall_check
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