Searched refs:se_ratio (Results 1 – 2 of 2) sorted by relevance
/external/tensorflow/tensorflow/python/keras/applications/ |
D | mobilenet_v3.py | 257 se_ratio = None 261 se_ratio = 0.25 277 x = stack_fn(x, kernel, activation, se_ratio) 365 def stack_fn(x, kernel, activation, se_ratio): argument 370 x = _inverted_res_block(x, 1, depth(16), 3, 2, se_ratio, relu, 0) 373 x = _inverted_res_block(x, 4, depth(40), kernel, 2, se_ratio, activation, 3) 374 x = _inverted_res_block(x, 6, depth(40), kernel, 1, se_ratio, activation, 4) 375 x = _inverted_res_block(x, 6, depth(40), kernel, 1, se_ratio, activation, 5) 376 x = _inverted_res_block(x, 3, depth(48), kernel, 1, se_ratio, activation, 6) 377 x = _inverted_res_block(x, 3, depth(48), kernel, 1, se_ratio, activation, 7) [all …]
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D | efficientnet.py | 422 se_ratio=0., argument 479 if 0 < se_ratio <= 1: 480 filters_se = max(1, int(filters_in * se_ratio))
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