add adaround post-quant method #38460
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| round_type(str, optional): The method of converting the quantized weights | ||
| value from float to int. Currently supports ['round', 'adaround'] methods. | ||
| Default is `round`, which is rounding nearest to the nearest whole number. | ||
| train_iterations(flota, optional): The number of training iter, used to |
| Default is `round`, which is rounding nearest to the nearest whole number. | ||
| train_iterations(flota, optional): The number of training iter, used to | ||
| calibrate the adaptive rounding method, when round_type='adaround'. | ||
| learning_rate(flota, optional): The learning rate of adaround method. |
| @@ -143,6 +123,9 @@ def __init__(self, | |||
| algo="KL", | |||
| hist_percent=0.99999, | |||
| quantizable_op_type=["conv2d", "depthwise_conv2d", "mul"], | |||
| round_type='round', | |||
| train_iterations=1000, | |||
| for weight_var_name, quant_op_out_name in quantized_op_output_name_dict.items( | ||
| ): | ||
| _logger.info('Start adaround op: {}'.format(weight_var_name)) | ||
| weight_op_type = weight_op_pairs[weight_var_name] |
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quantized_op_output_name_dict 和weight_op_pairs都是weight到其它信息的映射，但是命名风格完全不一样。
| 'beta': beta, | ||
| 'warm_start': warm_start | ||
| } | ||
| out = exe.run( |
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执行"train_program"的作用是什么？
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wanghaoshuang
approved these changes
Mar 28, 2022
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Add new adaround post-quant method.