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fbnet_modeldef_cls_fbnetv3.py
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#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from mobile_cv.arch.fbnet_v2 import modeldef_utils as mdu
from mobile_cv.arch.fbnet_v2.fbnet_modeldef_cls import MODEL_ARCH
BASIC_ARGS = {
"width_divisor": 8,
}
IRF_CFG = {
"less_se_channels": True,
"zero_last_bn_gamma": True,
}
FUSEDMB_CFG = {"skip_dw": True, "always_pw": True}
FUSEDMB_e1 = {"skip_pwl": True, "mid_expand_out": True, "expansion": 1}
MODEL_ARCH_FBNETV3 = {
"FBNetV3_A0": {
# a scaled version of FBNetV3_A, 217M FLOP, top-1 accuracy around 78.4%
"input_size": 224,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 12, 2, 1]],
[["ir_k3_hs", 12, 1, 1, {"expansion": 1}, IRF_CFG]],
[
["ir_k3_hs", 24, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k3_hs", 24, 1, 2, {"expansion": 2}, IRF_CFG],
],
[
["ir_k3_sehsig_hs", 40, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k3_sehsig_hs", 40, 1, 2, {"expansion": 2}, IRF_CFG],
],
[
["ir_k5_hs", 72, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k3_hs", 72, 1, 2, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 104, 1, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_sehsig_hs", 104, 1, 3, {"expansion": 3}, IRF_CFG],
],
[
["ir_k3_sehsig_hs", 176, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k3_sehsig_hs", 176, 1, 3, {"expansion": 4}, IRF_CFG],
["ir_k3_sehsig_hs", 208, 1, 1, {"expansion": 5}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 5}]],
],
},
# applied a width multiplier of 8 for latency optimization
"FBNetV3_A": {
"input_size": 224,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 16, 2, 1]],
[["ir_k3_hs", 16, 1, 2, {"expansion": 1}, IRF_CFG]],
[
["ir_k5_hs", 24, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_hs", 24, 1, 3, {"expansion": 2}, IRF_CFG],
],
[
["ir_k5_sehsig_hs", 40, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 40, 1, 4, {"expansion": 3}, IRF_CFG],
],
[
[
"ir_k5_hs",
72,
2,
1,
{"expansion": 5},
IRF_CFG,
{"dw_args": {"padding": (1, 1)}},
],
["ir_k3_hs", 72, 1, 4, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 120, 1, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 120, 1, 5, {"expansion": 3}, IRF_CFG],
],
[
[
"ir_k3_sehsig_hs",
184,
2,
1,
{"expansion": 6},
IRF_CFG,
{"dw_args": {"padding": (0, 0)}},
],
["ir_k5_sehsig_hs", 184, 1, 5, {"expansion": 4}, IRF_CFG],
["ir_k5_sehsig_hs", 224, 1, 1, {"expansion": 6}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 6}]],
],
},
"FBNetV3_B": {
"input_size": 248,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 16, 2, 1]],
[["ir_k3_hs", 16, 1, 2, {"expansion": 1}, IRF_CFG]],
[
["ir_k5_hs", 24, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_hs", 24, 1, 3, {"expansion": 2}, IRF_CFG],
],
[
["ir_k5_sehsig_hs", 40, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 40, 1, 4, {"expansion": 3}, IRF_CFG],
],
[
[
"ir_k5_hs",
72,
2,
1,
{"expansion": 5},
IRF_CFG,
{"dw_args": {"padding": (1, 1)}},
],
["ir_k3_hs", 72, 1, 4, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 120, 1, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 120, 1, 5, {"expansion": 3}, IRF_CFG],
],
[
[
"ir_k3_sehsig_hs",
184,
2,
1,
{"expansion": 6},
IRF_CFG,
{"dw_args": {"padding": (0, 0)}},
],
["ir_k5_sehsig_hs", 184, 1, 5, {"expansion": 4}, IRF_CFG],
["ir_k5_sehsig_hs", 224, 1, 1, {"expansion": 6}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 6}]],
],
},
"FBNetV3_C": {
"input_size": 248,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 16, 2, 1]],
[["ir_k3_hs", 16, 1, 2, {"expansion": 1}, IRF_CFG]],
[
["ir_k5_hs", 24, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k3_hs", 24, 1, 4, {"expansion": 3}, IRF_CFG],
],
[
["ir_k5_sehsig_hs", 48, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 48, 1, 4, {"expansion": 2}, IRF_CFG],
],
[
[
"ir_k5_hs",
88,
2,
1,
{"expansion": 4},
IRF_CFG,
{"dw_args": {"padding": (1, 1)}},
],
["ir_k3_hs", 88, 1, 4, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 120, 1, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_sehsig_hs", 120, 1, 5, {"expansion": 3}, IRF_CFG],
],
[
[
"ir_k5_sehsig_hs",
216,
2,
1,
{"expansion": 5},
IRF_CFG,
{"dw_args": {"padding": (1, 1)}},
],
["ir_k5_sehsig_hs", 216, 1, 5, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 216, 1, 1, {"expansion": 6}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 6.0}]],
],
},
"FBNetV3_D": {
"input_size": 248,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 24, 2, 1]],
[["ir_k3_hs", 16, 1, 2, {"expansion": 1}, IRF_CFG]],
[
["ir_k3_hs", 24, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k3_hs", 24, 1, 5, {"expansion": 2}, IRF_CFG],
],
[
["ir_k5_sehsig_hs", 40, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k3_sehsig_hs", 40, 1, 4, {"expansion": 3}, IRF_CFG],
],
[
["ir_k3_hs", 72, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k3_hs", 72, 1, 4, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 128, 1, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 128, 1, 6, {"expansion": 3}, IRF_CFG],
],
[
["ir_k3_sehsig_hs", 208, 2, 1, {"expansion": 6}, IRF_CFG],
["ir_k5_sehsig_hs", 208, 1, 5, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 240, 1, 1, {"expansion": 6}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 6.0}]],
],
},
"FBNetV3_E": {
"input_size": 264,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 24, 2, 1]],
[["ir_k3_hs", 16, 1, 3, {"expansion": 1}, IRF_CFG]],
[
["ir_k5_hs", 24, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_hs", 24, 1, 4, {"expansion": 2}, IRF_CFG],
],
[
["ir_k5_sehsig_hs", 48, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_sehsig_hs", 48, 1, 4, {"expansion": 3}, IRF_CFG],
],
[
[
"ir_k5_hs",
80,
2,
1,
{"expansion": 5},
IRF_CFG,
{"dw_args": {"padding": (1, 1)}},
],
["ir_k3_hs", 80, 1, 4, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 128, 1, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 128, 1, 7, {"expansion": 3}, IRF_CFG],
],
[
["ir_k3_sehsig_hs", 216, 2, 1, {"expansion": 6}, IRF_CFG],
["ir_k5_sehsig_hs", 216, 1, 5, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 240, 1, 1, {"expansion": 6}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 6.0}]],
],
},
"FBNetV3_F": {
"input_size": 272,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 24, 2, 1]],
[["ir_k3_hs", 24, 1, 3, {"expansion": 1}, IRF_CFG]],
[
["ir_k5_hs", 32, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_hs", 32, 1, 4, {"expansion": 2}, IRF_CFG],
],
[
["ir_k5_sehsig_hs", 56, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_sehsig_hs", 56, 1, 4, {"expansion": 3}, IRF_CFG],
],
[
["ir_k5_hs", 88, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k3_hs", 88, 1, 4, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 144, 1, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 144, 1, 8, {"expansion": 3}, IRF_CFG],
],
[
[
"ir_k3_sehsig_hs",
248,
2,
1,
{"expansion": 6},
IRF_CFG,
{"dw_args": {"padding": (0, 0)}},
],
["ir_k5_sehsig_hs", 248, 1, 6, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 272, 1, 1, {"expansion": 6}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 6.0}]],
],
},
"FBNetV3_G": {
"input_size": 320,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 32, 2, 1]],
[["ir_k3_hs", 24, 1, 3, {"expansion": 1}, IRF_CFG]],
[
["ir_k5_hs", 40, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_hs", 40, 1, 4, {"expansion": 2}, IRF_CFG],
],
[
["ir_k5_sehsig_hs", 56, 2, 1, {"expansion": 4}, IRF_CFG],
["ir_k5_sehsig_hs", 56, 1, 4, {"expansion": 3}, IRF_CFG],
],
[
["ir_k5_hs", 104, 2, 1, {"expansion": 5}, IRF_CFG],
["ir_k3_hs", 104, 1, 4, {"expansion": 3}, IRF_CFG],
["ir_k3_sehsig_hs", 160, 1, 1, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 160, 1, 8, {"expansion": 3}, IRF_CFG],
],
[
["ir_k3_sehsig_hs", 264, 2, 1, {"expansion": 6}, IRF_CFG],
["ir_k5_sehsig_hs", 264, 1, 6, {"expansion": 5}, IRF_CFG],
["ir_k5_sehsig_hs", 288, 1, 2, {"expansion": 6}, IRF_CFG],
],
[["ir_pool_hs", 1984, 1, 1, {"expansion": 6.0}]],
],
},
"FBNetV3_20G": {
# A giant FBNetV3 model used for distillation.
# 20.4G FLOPs, 101M Params
# Top-1 accuracy 84.4% w/o extra data.
"input_size": 256,
"basic_args": BASIC_ARGS,
"blocks": [
[["conv_k3_hs", 32, 2, 1]],
[
["ir_k3_hs", 32, 1, 1, {"expansion": 1, "dw_group_ratio": 32}, IRF_CFG],
["ir_k3_hs", 32, 1, 1, {"expansion": 1, "dw_group_ratio": 32}, IRF_CFG],
],
[
[
"ir_k5_hs",
108,
2,
1,
{"expansion": 4, "dw_group_ratio": 64},
IRF_CFG,
],
[
"ir_k5_hs",
108,
1,
5,
{"expansion": 1, "dw_group_ratio": 54},
IRF_CFG,
],
],
[
[
"ir_k5_sehsig_hs",
160,
2,
1,
{"expansion": 2, "dw_group_ratio": 108},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
160,
1,
5,
{"expansion": 2, "dw_group_ratio": 80},
IRF_CFG,
],
],
[
[
"ir_k5_hs",
256,
2,
1,
{"expansion": 2, "dw_group_ratio": 80},
IRF_CFG,
],
[
"ir_k3_hs",
256,
1,
6,
{"expansion": 2, "dw_group_ratio": 128},
IRF_CFG,
],
[
"ir_k3_sehsig_hs",
348,
1,
1,
{"expansion": 2, "dw_group_ratio": 116},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
348,
1,
9,
{"expansion": 2, "dw_group_ratio": 116},
IRF_CFG,
],
],
[
[
"ir_k3_sehsig_hs",
580,
2,
1,
{"expansion": 2, "dw_group_ratio": 116},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
580,
1,
7,
{"expansion": 2, "dw_group_ratio": 116},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
580,
1,
3,
{"expansion": 2, "dw_group_ratio": 116},
IRF_CFG,
],
],
[["ir_pool_hs", 3200, 1, 1, {"expansion": 6.0}]],
],
},
}
# GPU-friendly FBNetV3
MODEL_ARCH_FBNETV3_GPU = {
# applied a width multiplier of 8 for latency optimization
"FBNetV3_A_GPU": {
"input_size": 224,
"basic_args": BASIC_ARGS,
"blocks": [
MODEL_ARCH_FBNETV3["FBNetV3_A"]["blocks"][0],
MODEL_ARCH_FBNETV3["FBNetV3_A"]["blocks"][1],
[
[
"ir_k5_hs",
24,
2,
1,
FUSEDMB_CFG,
{"expansion": 4},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_hs",
24,
1,
3,
FUSEDMB_CFG,
{"expansion": 2},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
[
[
"ir_k5_sehsig_hs",
40,
2,
1,
FUSEDMB_CFG,
{"expansion": 5},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
40,
1,
4,
FUSEDMB_CFG,
{"expansion": 3},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
MODEL_ARCH_FBNETV3["FBNetV3_A"]["blocks"][4],
MODEL_ARCH_FBNETV3["FBNetV3_A"]["blocks"][5],
MODEL_ARCH_FBNETV3["FBNetV3_A"]["blocks"][6],
],
},
"FBNetV3_B_GPU": {
"input_size": 248,
"basic_args": BASIC_ARGS,
"blocks": [
MODEL_ARCH_FBNETV3["FBNetV3_B"]["blocks"][0],
MODEL_ARCH_FBNETV3["FBNetV3_B"]["blocks"][1],
[
[
"ir_k5_hs",
24,
2,
1,
FUSEDMB_CFG,
{"expansion": 4},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_hs",
24,
1,
3,
FUSEDMB_CFG,
{"expansion": 2},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
[
[
"ir_k5_sehsig_hs",
40,
2,
1,
FUSEDMB_CFG,
{"expansion": 5},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
40,
1,
4,
FUSEDMB_CFG,
{"expansion": 3},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
MODEL_ARCH_FBNETV3["FBNetV3_B"]["blocks"][4],
MODEL_ARCH_FBNETV3["FBNetV3_B"]["blocks"][5],
MODEL_ARCH_FBNETV3["FBNetV3_B"]["blocks"][6],
],
},
"FBNetV3_C_GPU": {
"input_size": 248,
"basic_args": BASIC_ARGS,
"blocks": [
MODEL_ARCH_FBNETV3["FBNetV3_C"]["blocks"][0],
MODEL_ARCH_FBNETV3["FBNetV3_C"]["blocks"][1],
[
[
"ir_k5_hs",
24,
2,
1,
FUSEDMB_CFG,
{"expansion": 5},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k3_hs",
24,
1,
4,
FUSEDMB_CFG,
{"expansion": 3},
{
"pw_args": {
"kernel_size": 3,
"padding": 1,
"stride": 1,
},
},
IRF_CFG,
],
],
[
[
"ir_k5_sehsig_hs",
48,
2,
1,
FUSEDMB_CFG,
{"expansion": 5},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
48,
1,
4,
FUSEDMB_CFG,
{"expansion": 2},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
MODEL_ARCH_FBNETV3["FBNetV3_C"]["blocks"][4],
MODEL_ARCH_FBNETV3["FBNetV3_C"]["blocks"][5],
MODEL_ARCH_FBNETV3["FBNetV3_C"]["blocks"][6],
],
},
"FBNetV3_D_GPU": {
"input_size": 248,
"basic_args": BASIC_ARGS,
"blocks": [
MODEL_ARCH_FBNETV3["FBNetV3_D"]["blocks"][0],
MODEL_ARCH_FBNETV3["FBNetV3_D"]["blocks"][1],
[
[
"ir_k5_hs",
24,
2,
1,
FUSEDMB_CFG,
{"expansion": 5},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k3_hs",
24,
1,
4,
FUSEDMB_CFG,
{"expansion": 3},
{
"pw_args": {
"kernel_size": 3,
"padding": 1,
"stride": 1,
},
},
IRF_CFG,
],
],
[
[
"ir_k5_sehsig_hs",
40,
2,
1,
FUSEDMB_CFG,
{"expansion": 4},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k3_sehsig_hs",
40,
1,
4,
FUSEDMB_CFG,
{"expansion": 3},
{
"pw_args": {
"kernel_size": 3,
"padding": 1,
"stride": 1,
},
},
IRF_CFG,
],
],
MODEL_ARCH_FBNETV3["FBNetV3_D"]["blocks"][4],
MODEL_ARCH_FBNETV3["FBNetV3_D"]["blocks"][5],
MODEL_ARCH_FBNETV3["FBNetV3_D"]["blocks"][6],
],
},
"FBNetV3_E_GPU": {
"input_size": 264,
"basic_args": BASIC_ARGS,
"blocks": [
MODEL_ARCH_FBNETV3["FBNetV3_E"]["blocks"][0],
MODEL_ARCH_FBNETV3["FBNetV3_E"]["blocks"][1],
[
[
"ir_k5_hs",
24,
2,
1,
FUSEDMB_CFG,
{"expansion": 4},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_hs",
24,
1,
4,
FUSEDMB_CFG,
{"expansion": 2},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
MODEL_ARCH_FBNETV3["FBNetV3_E"]["blocks"][3],
MODEL_ARCH_FBNETV3["FBNetV3_E"]["blocks"][4],
MODEL_ARCH_FBNETV3["FBNetV3_E"]["blocks"][5],
MODEL_ARCH_FBNETV3["FBNetV3_E"]["blocks"][6],
],
},
"FBNetV3_F_GPU": {
"input_size": 272,
"basic_args": BASIC_ARGS,
"blocks": [
MODEL_ARCH_FBNETV3["FBNetV3_F"]["blocks"][0],
MODEL_ARCH_FBNETV3["FBNetV3_F"]["blocks"][1],
[
[
"ir_k5_hs",
32,
2,
1,
FUSEDMB_CFG,
{"expansion": 4},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_hs",
32,
1,
4,
FUSEDMB_CFG,
{"expansion": 2},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
[
[
"ir_k5_sehsig_hs",
56,
2,
1,
FUSEDMB_CFG,
FUSEDMB_e1,
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
56,
1,
4,
FUSEDMB_CFG,
FUSEDMB_e1,
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
MODEL_ARCH_FBNETV3["FBNetV3_F"]["blocks"][4],
MODEL_ARCH_FBNETV3["FBNetV3_F"]["blocks"][5],
MODEL_ARCH_FBNETV3["FBNetV3_F"]["blocks"][6],
],
},
"FBNetV3_G_GPU": {
"input_size": 320,
"basic_args": BASIC_ARGS,
"blocks": [
MODEL_ARCH_FBNETV3["FBNetV3_G"]["blocks"][0],
MODEL_ARCH_FBNETV3["FBNetV3_G"]["blocks"][1],
[
[
"ir_k5_hs",
40,
2,
1,
FUSEDMB_CFG,
{"expansion": 4},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_hs",
40,
1,
4,
FUSEDMB_CFG,
{"expansion": 2},
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
[
[
"ir_k5_sehsig_hs",
56,
2,
1,
FUSEDMB_CFG,
FUSEDMB_e1,
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 2,
},
},
IRF_CFG,
],
[
"ir_k5_sehsig_hs",
56,
1,
4,
FUSEDMB_CFG,
FUSEDMB_e1,
{
"pw_args": {
"kernel_size": 5,
"padding": 2,
"stride": 1,
},
},
IRF_CFG,
],
],
MODEL_ARCH_FBNETV3["FBNetV3_G"]["blocks"][4],
MODEL_ARCH_FBNETV3["FBNetV3_G"]["blocks"][5],
MODEL_ARCH_FBNETV3["FBNetV3_G"]["blocks"][6],
],
},
}
MODEL_ARCH.register_dict(MODEL_ARCH_FBNETV3)
MODEL_ARCH.register_dict(mdu.get_i8f_models(MODEL_ARCH_FBNETV3))
MODEL_ARCH.register_dict(MODEL_ARCH_FBNETV3_GPU)
MODEL_ARCH.register_dict(mdu.get_i8f_models(MODEL_ARCH_FBNETV3_GPU))