[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.compat.v1.train.do_quantize_training_on_graphdef\n\n\u003cbr /\u003e\n\n|----------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/training/quantize_training.py#L23-L46) |\n\nA general quantization scheme is being developed in `tf.contrib.quantize`. (deprecated) \n\n tf.compat.v1.train.do_quantize_training_on_graphdef(\n input_graph, num_bits\n )\n\n| **Deprecated:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: GraphDef quantized training rewriter is deprecated in the long term.\n\nConsider using that instead, though since it is in the tf.contrib namespace,\nit is not subject to backward compatibility guarantees.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|-------------------------------------------|\n| `input_graph` | A `GraphDef`. |\n| `num_bits` | The number of bits for quantize training. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| The graph with quantize training done. ||\n\n\u003cbr /\u003e"]]
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