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caffe2 | ||
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test_common.py |
* [TFLite] Dynamically calculate input_stats of any fake_quant range * pass the input range to the convertor and caclulate (mean, scale) there * change the range of the second tensor in elemwise operations so that we test inputs with different quant params * change the possible output range for elemwise ops wrt the updated ranges * update the comments for (m, s) calculations * add input range dict to reduce_mean op * Apply requested changes * add exception handling for zero division in input_stats * fix range of the input tensor in elemwsie
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