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Commit 890fc1c9 authored by Shixin Luo's avatar Shixin Luo
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change from invertedresidual to invertedbottleneck

parent 716b9d73
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Showing with 85 additions and 92 deletions
official/vision/beta/modeling/backbones/mobilenet.py
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......@@ -17,8 +17,10 @@
from typing import Text, Optional, Dict
# Import libraries
import dataclasses
import tensorflow as tf
from official.modeling import tf_utils
from official.modeling.hyperparams import base_config
from official.vision.beta.modeling.backbones import factory
from official.vision.beta.modeling.layers import nn_blocks
from official.vision.beta.modeling.layers import nn_layers
......@@ -26,6 +28,7 @@ from official.vision.beta.modeling.layers import nn_layers
layers = tf.keras.layers
regularizers = tf.keras.regularizers
class Conv2DBNBlock(tf.keras.layers.Layer):
"""A convolution block with batch normalization."""
......@@ -135,6 +138,7 @@ class Conv2DBNBlock(tf.keras.layers.Layer):
x = self._norm0(x)
return self._activation_fn(x)
"""
Architecture: https://arxiv.org/abs/1704.04861.
......@@ -176,23 +180,23 @@ MNV2_BLOCK_SPECS = {
'expand_ratio'],
'block_specs': [
('convbn', 3, 2, 32, None),
('invertedresidual', 3, 1, 16, 1.),
('invertedresidual', 3, 2, 24, 6.),
('invertedresidual', 3, 1, 24, 6.),
('invertedresidual', 3, 2, 32, 6.),
('invertedresidual', 3, 1, 32, 6.),
('invertedresidual', 3, 1, 32, 6.),
('invertedresidual', 3, 2, 64, 6.),
('invertedresidual', 3, 1, 64, 6.),
('invertedresidual', 3, 1, 64, 6.),
('invertedresidual', 3, 1, 64, 6.),
('invertedresidual', 3, 1, 96, 6.),
('invertedresidual', 3, 1, 96, 6.),
('invertedresidual', 3, 1, 96, 6.),
('invertedresidual', 3, 2, 160, 6.),
('invertedresidual', 3, 1, 160, 6.),
('invertedresidual', 3, 1, 160, 6.),
('invertedresidual', 3, 1, 320, 6.),
('invertedbottleneck', 3, 1, 16, 1.),
('invertedbottleneck', 3, 2, 24, 6.),
('invertedbottleneck', 3, 1, 24, 6.),
('invertedbottleneck', 3, 2, 32, 6.),
('invertedbottleneck', 3, 1, 32, 6.),
('invertedbottleneck', 3, 1, 32, 6.),
('invertedbottleneck', 3, 2, 64, 6.),
('invertedbottleneck', 3, 1, 64, 6.),
('invertedbottleneck', 3, 1, 64, 6.),
('invertedbottleneck', 3, 1, 64, 6.),
('invertedbottleneck', 3, 1, 96, 6.),
('invertedbottleneck', 3, 1, 96, 6.),
('invertedbottleneck', 3, 1, 96, 6.),
('invertedbottleneck', 3, 2, 160, 6.),
('invertedbottleneck', 3, 1, 160, 6.),
('invertedbottleneck', 3, 1, 160, 6.),
('invertedbottleneck', 3, 1, 320, 6.),
('convbn', 1, 2, 1280, None),
]
}
......@@ -211,21 +215,21 @@ MNV3Large_BLOCK_SPECS = {
'use_normalization', 'use_bias'],
'block_specs': [
('convbn', 3, 2, 16, 'hard_swish', None, None, True, False),
('invertedresidual', 3, 1, 16, 'relu', None, 1., None, False),
('invertedresidual', 3, 2, 24, 'relu', None, 4., None, False),
('invertedresidual', 3, 1, 24, 'relu', None, 3., None, False),
('invertedresidual', 5, 2, 40, 'relu', 1. / 4, 3., None, False),
('invertedresidual', 5, 1, 40, 'relu', 1. / 4, 3., None, False),
('invertedresidual', 5, 1, 40, 'relu', 1. / 4, 3., None, False),
('invertedresidual', 3, 2, 80, 'hard_swish', None, 6., None, False),
('invertedresidual', 3, 1, 80, 'hard_swish', None, 2.5, None, False),
('invertedresidual', 3, 1, 80, 'hard_swish', None, 2.3, None, False),
('invertedresidual', 3, 1, 80, 'hard_swish', None, 2.3, None, False),
('invertedresidual', 3, 1, 112, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 3, 1, 112, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 5, 2, 160, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 5, 1, 160, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 5, 1, 160, 'hard_swish', 1. / 4, 6., None, False),
('invertedbottleneck', 3, 1, 16, 'relu', None, 1., None, False),
('invertedbottleneck', 3, 2, 24, 'relu', None, 4., None, False),
('invertedbottleneck', 3, 1, 24, 'relu', None, 3., None, False),
('invertedbottleneck', 5, 2, 40, 'relu', 0.25, 3., None, False),
('invertedbottleneck', 5, 1, 40, 'relu', 0.25, 3., None, False),
('invertedbottleneck', 5, 1, 40, 'relu', 0.25, 3., None, False),
('invertedbottleneck', 3, 2, 80, 'hard_swish', None, 6., None, False),
('invertedbottleneck', 3, 1, 80, 'hard_swish', None, 2.5, None, False),
('invertedbottleneck', 3, 1, 80, 'hard_swish', None, 2.3, None, False),
('invertedbottleneck', 3, 1, 80, 'hard_swish', None, 2.3, None, False),
('invertedbottleneck', 3, 1, 112, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 3, 1, 112, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 5, 2, 160, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 5, 1, 160, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 5, 1, 160, 'hard_swish', 0.25, 6., None, False),
('convbn', 1, 1, 960, 'hard_swish', None, None, True, False),
('gpooling', None, None, None, None, None, None, None, None),
('convbn', 1, 1, 1280, 'hard_swish', None, None, False, True),
......@@ -239,17 +243,17 @@ MNV3Small_BLOCK_SPECS = {
'use_normalization', 'use_bias'],
'block_specs': [
('convbn', 3, 2, 16, 'hard_swish', None, None, True, False),
('invertedresidual', 3, 2, 16, 'relu', 1. / 4, 1, None, False),
('invertedresidual', 3, 2, 24, 'relu', None, 72. / 16, None, False),
('invertedresidual', 3, 1, 24, 'relu', None, 88. / 24, None, False),
('invertedresidual', 5, 2, 40, 'hard_swish', 1. / 4, 4., None, False),
('invertedresidual', 5, 1, 40, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 5, 1, 40, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 5, 1, 48, 'hard_swish', 1. / 4, 3., None, False),
('invertedresidual', 5, 1, 48, 'hard_swish', 1. / 4, 3., None, False),
('invertedresidual', 5, 2, 96, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 5, 1, 96, 'hard_swish', 1. / 4, 6., None, False),
('invertedresidual', 5, 1, 96, 'hard_swish', 1. / 4, 6., None, False),
('invertedbottleneck', 3, 2, 16, 'relu', 0.25, 1, None, False),
('invertedbottleneck', 3, 2, 24, 'relu', None, 72. / 16, None, False),
('invertedbottleneck', 3, 1, 24, 'relu', None, 88. / 24, None, False),
('invertedbottleneck', 5, 2, 40, 'hard_swish', 0.25, 4., None, False),
('invertedbottleneck', 5, 1, 40, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 5, 1, 40, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 5, 1, 48, 'hard_swish', 0.25, 3., None, False),
('invertedbottleneck', 5, 1, 48, 'hard_swish', 0.25, 3., None, False),
('invertedbottleneck', 5, 2, 96, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 5, 1, 96, 'hard_swish', 0.25, 6., None, False),
('invertedbottleneck', 5, 1, 96, 'hard_swish', 0.25, 6., None, False),
('convbn', 1, 1, 576, 'hard_swish', None, None, True, False),
('gpooling', None, None, None, None, None, None, None, None),
('convbn', 1, 1, 1024, 'hard_swish', None, None, False, True),
......@@ -267,28 +271,28 @@ MNV3EdgeTPU_BLOCK_SPECS = {
'use_residual', 'use_depthwise'],
'block_specs': [
('convbn', 3, 2, 32, 'relu', None, None, None, None),
('invertedresidual', 3, 1, 16, 'relu', None, 1., True, False),
('invertedresidual', 3, 2, 32, 'relu', None, 8., True, False),
('invertedresidual', 3, 1, 32, 'relu', None, 4., True, False),
('invertedresidual', 3, 1, 32, 'relu', None, 4., True, False),
('invertedresidual', 3, 1, 32, 'relu', None, 4., True, False),
('invertedresidual', 3, 2, 48, 'relu', None, 8., True, False),
('invertedresidual', 3, 1, 48, 'relu', None, 4., True, False),
('invertedresidual', 3, 1, 48, 'relu', None, 4., True, False),
('invertedresidual', 3, 1, 48, 'relu', None, 4., True, False),
('invertedresidual', 3, 2, 96, 'relu', None, 8., True, True),
('invertedresidual', 3, 1, 96, 'relu', None, 4., True, True),
('invertedresidual', 3, 1, 96, 'relu', None, 4., True, True),
('invertedresidual', 3, 1, 96, 'relu', None, 4., True, True),
('invertedresidual', 3, 1, 96, 'relu', None, 8., False, True),
('invertedresidual', 3, 1, 96, 'relu', None, 4., True, True),
('invertedresidual', 3, 1, 96, 'relu', None, 4., True, True),
('invertedresidual', 3, 1, 96, 'relu', None, 4., True, True),
('invertedresidual', 5, 2, 160, 'relu', None, 8., True, True),
('invertedresidual', 5, 1, 160, 'relu', None, 4., True, True),
('invertedresidual', 5, 1, 160, 'relu', None, 4., True, True),
('invertedresidual', 5, 1, 160, 'relu', None, 4., True, True),
('invertedresidual', 3, 1, 192, 'relu', None, 8., True, True),
('invertedbottleneck', 3, 1, 16, 'relu', None, 1., True, False),
('invertedbottleneck', 3, 2, 32, 'relu', None, 8., True, False),
('invertedbottleneck', 3, 1, 32, 'relu', None, 4., True, False),
('invertedbottleneck', 3, 1, 32, 'relu', None, 4., True, False),
('invertedbottleneck', 3, 1, 32, 'relu', None, 4., True, False),
('invertedbottleneck', 3, 2, 48, 'relu', None, 8., True, False),
('invertedbottleneck', 3, 1, 48, 'relu', None, 4., True, False),
('invertedbottleneck', 3, 1, 48, 'relu', None, 4., True, False),
('invertedbottleneck', 3, 1, 48, 'relu', None, 4., True, False),
('invertedbottleneck', 3, 2, 96, 'relu', None, 8., True, True),
('invertedbottleneck', 3, 1, 96, 'relu', None, 4., True, True),
('invertedbottleneck', 3, 1, 96, 'relu', None, 4., True, True),
('invertedbottleneck', 3, 1, 96, 'relu', None, 4., True, True),
('invertedbottleneck', 3, 1, 96, 'relu', None, 8., False, True),
('invertedbottleneck', 3, 1, 96, 'relu', None, 4., True, True),
('invertedbottleneck', 3, 1, 96, 'relu', None, 4., True, True),
('invertedbottleneck', 3, 1, 96, 'relu', None, 4., True, True),
('invertedbottleneck', 5, 2, 160, 'relu', None, 8., True, True),
('invertedbottleneck', 5, 1, 160, 'relu', None, 4., True, True),
('invertedbottleneck', 5, 1, 160, 'relu', None, 4., True, True),
('invertedbottleneck', 5, 1, 160, 'relu', None, 4., True, True),
('invertedbottleneck', 3, 1, 192, 'relu', None, 8., True, True),
('convbn', 1, 1, 1280, 'relu', None, None, None, None),
]
}
......@@ -302,34 +306,23 @@ SUPPORTED_SPECS_MAP = {
}
class BlockSpec(object):
@dataclasses.dataclass
class BlockSpec(base_config.Config):
"""A container class that specifies the block configuration for MobileNet."""
def __init__(self,
block_fn: Text = 'convbn',
kernel_size: int = 3,
strides: int = 1,
filters: int = 32,
use_bias: bool = False,
use_normalization: bool = True,
activation: Text = 'relu6',
block_fn: Text = 'convbn'
kernel_size: int = 3
strides: int = 1
filters: int = 32
use_bias: bool = False
use_normalization: bool = True
activation: Text = 'relu6'
# used for block type InvertedResConv
expand_ratio: Optional[float] = 6.,
expand_ratio: Optional[float] = 6.
# used for block type InvertedResConv with SE
se_ratio: Optional[float] = None,
use_depthwise: bool = True,
use_residual: bool = True, ):
self.block_fn = block_fn
self.kernel_size = kernel_size
self.strides = strides
self.filters = filters
self.use_bias = use_bias
self.use_normalization = use_normalization
self.activation = activation
self.expand_ratio = expand_ratio
self.se_ratio = se_ratio
self.use_depthwise = use_depthwise
self.use_residual = use_residual
se_ratio: Optional[float] = None
use_depthwise: bool = True
use_residual: bool = True
def block_spec_decoder(specs: Dict,
......@@ -583,7 +576,7 @@ class MobileNet(tf.keras.Model):
norm_epsilon=self._norm_epsilon,
)(net)
elif block_def.block_fn == 'invertedresidual':
elif block_def.block_fn == 'invertedbottleneck':
use_rate = rate
if layer_rate > 1 and block_def.kernel_size != 1:
# We will apply atrous rate in the following cases:
......
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