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Searched refs:se_ratio (Results 1 – 2 of 2) sorted by relevance

/external/tensorflow/tensorflow/python/keras/applications/
Dmobilenet_v3.py257 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 …]
Defficientnet.py422 se_ratio=0., argument
479 if 0 < se_ratio <= 1:
480 filters_se = max(1, int(filters_in * se_ratio))