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sdnext/modules/merging/merge_PermSpec.py
Vladimir Mandic 2933ed6b4a lint fixes
2023-12-04 10:08:11 -05:00

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from modules.merging.merge_rebasin import PermutationSpec, permutation_spec_from_axes_to_perm
def sdunet_permutation_spec() -> PermutationSpec:
conv = lambda name, p_in, p_out: { # pylint: disable=unnecessary-lambda-assignment
f"{name}.weight": (
p_out,
p_in,
),
f"{name}.bias": (p_out,),
}
norm = lambda name, p: {f"{name}.weight": (p,), f"{name}.bias": (p,)} # pylint: disable=unnecessary-lambda-assignment
dense = (
lambda name, p_in, p_out, bias=True: { # pylint: disable=unnecessary-lambda-assignment
f"{name}.weight": (p_out, p_in),
f"{name}.bias": (p_out,),
}
if bias
else {f"{name}.weight": (p_out, p_in)}
)
skip = lambda name, p_in, p_out: { # pylint: disable=unnecessary-lambda-assignment
f"{name}": (
p_out,
p_in,
None,
None,
)
}
# Unet Res blocks
easyblock = lambda name, p_in, p_out: { # pylint: disable=unnecessary-lambda-assignment
**norm(f"{name}.in_layers.0", p_in),
**conv(f"{name}.in_layers.2", p_in, f"P_{name}_inner"),
**dense(
f"{name}.emb_layers.1", f"P_{name}_inner2", f"P_{name}_inner3", bias=True
),
**norm(f"{name}.out_layers.0", f"P_{name}_inner4"),
**conv(f"{name}.out_layers.3", f"P_{name}_inner4", p_out),
}
# VAE blocks - Unused
easyblock2 = lambda name, p: { # pylint: disable=unnecessary-lambda-assignment, unused-variable # noqa: F841
**norm(f"{name}.norm1", p),
**conv(f"{name}.conv1", p, f"P_{name}_inner"),
**norm(f"{name}.norm2", f"P_{name}_inner"),
**conv(f"{name}.conv2", f"P_{name}_inner", p),
}
# This is for blocks that use a residual connection, but change the number of channels via a Conv.
shortcutblock = lambda name, p_in, p_out: { # pylint: disable=unnecessary-lambda-assignment, , unused-variable # noqa: F841
**norm(f"{name}.norm1", p_in),
**conv(f"{name}.conv1", p_in, f"P_{name}_inner"),
**norm(f"{name}.norm2", f"P_{name}_inner"),
**conv(f"{name}.conv2", f"P_{name}_inner", p_out),
**conv(f"{name}.nin_shortcut", p_in, p_out),
**norm(f"{name}.nin_shortcut", p_out),
}
return permutation_spec_from_axes_to_perm(
{
# Skipped Layers
**skip("betas", None, None),
**skip("alphas_cumprod", None, None),
**skip("alphas_cumprod_prev", None, None),
**skip("sqrt_alphas_cumprod", None, None),
**skip("sqrt_one_minus_alphas_cumprod", None, None),
**skip("log_one_minus_alphas_cumprods", None, None),
**skip("sqrt_recip_alphas_cumprod", None, None),
**skip("sqrt_recipm1_alphas_cumprod", None, None),
**skip("posterior_variance", None, None),
**skip("posterior_log_variance_clipped", None, None),
**skip("posterior_mean_coef1", None, None),
**skip("posterior_mean_coef2", None, None),
**skip("log_one_minus_alphas_cumprod", None, None),
**skip("model_ema.decay", None, None),
**skip("model_ema.num_updates", None, None),
# initial
**dense("model.diffusion_model.time_embed.0", None, "P_bg0", bias=True),
**dense("model.diffusion_model.time_embed.2", "P_bg0", "P_bg1", bias=True),
**conv("model.diffusion_model.input_blocks.0.0", "P_bg2", "P_bg3"),
# input blocks
**easyblock("model.diffusion_model.input_blocks.1.0", "P_bg4", "P_bg5"),
**norm("model.diffusion_model.input_blocks.1.1.norm", "P_bg6"),
**conv("model.diffusion_model.input_blocks.1.1.proj_in", "P_bg6", "P_bg7"),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_q", "P_bg8", "P_bg9", bias=False),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_k", "P_bg8", "P_bg9", bias=False),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_v", "P_bg8", "P_bg9", bias=False),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn1.to_out.0", "P_bg8", "P_bg9", bias=True),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.0.proj", "P_bg10", "P_bg11", bias=True),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.ff.net.2", "P_bg12", "P_bg13", bias=True),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_q", "P_bg14", "P_bg15", bias=False),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_k", "P_bg16", "P_bg17", bias=False),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_v", "P_bg16", "P_bg17", bias=False),
**dense("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.attn2.to_out.0", "P_bg18", "P_bg19", bias=True),
**norm("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm1", "P_bg19"),
**norm("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm2", "P_bg19"),
**norm("model.diffusion_model.input_blocks.1.1.transformer_blocks.0.norm3", "P_bg19"),
**conv("model.diffusion_model.input_blocks.1.1.proj_out", "P_bg19", "P_bg20"),
**easyblock("model.diffusion_model.input_blocks.2.0", "P_bg21", "P_bg22"),
**norm("model.diffusion_model.input_blocks.2.1.norm", "P_bg23"),
**conv("model.diffusion_model.input_blocks.2.1.proj_in", "P_bg23", "P_bg24"),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_q", "P_bg25", "P_bg26", bias=False),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_k", "P_bg25", "P_bg26", bias=False),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_v", "P_bg25", "P_bg26", bias=False),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn1.to_out.0", "P_bg25", "P_bg26", bias=True),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.0.proj", "P_bg27", "P_bg28", bias=True),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.ff.net.2", "P_bg29", "P_bg30", bias=True),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_q", "P_bg31", "P_bg32", bias=False),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k", "P_bg33", "P_bg34", bias=False),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_v", "P_bg33", "P_bg34", bias=False),
**dense("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_out.0", "P_bg35", "P_bg36", bias=True),
**norm("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm1", "P_bg36"),
**norm("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm2", "P_bg36"),
**norm("model.diffusion_model.input_blocks.2.1.transformer_blocks.0.norm3", "P_bg36"),
**conv("model.diffusion_model.input_blocks.2.1.proj_out", "P_bg36", "P_bg37"),
**conv("model.diffusion_model.input_blocks.3.0.op", "P_bg38", "P_bg39"),
**easyblock("model.diffusion_model.input_blocks.4.0", "P_bg40", "P_bg41"),
**conv("model.diffusion_model.input_blocks.4.0.skip_connection", "P_bg42", "P_bg43"),
**norm("model.diffusion_model.input_blocks.4.1.norm", "P_bg44"),
**conv("model.diffusion_model.input_blocks.4.1.proj_in", "P_bg44", "P_bg45"),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_q", "P_bg46", "P_bg47", bias=False),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_k", "P_bg46", "P_bg47", bias=False),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_v", "P_bg46", "P_bg47", bias=False),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn1.to_out.0", "P_bg46", "P_bg47", bias=True),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.0.proj", "P_bg48", "P_bg49", bias=True),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.ff.net.2", "P_bg50", "P_bg51", bias=True),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_q", "P_bg52", "P_bg53", bias=False),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_k", "P_bg54", "P_bg55", bias=False),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_v", "P_bg54", "P_bg55", bias=False),
**dense("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.attn2.to_out.0", "P_bg56", "P_bg57", bias=True),
**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm1", "P_bg57"),
**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm2", "P_bg57"),
**norm("model.diffusion_model.input_blocks.4.1.transformer_blocks.0.norm3", "P_bg57"),
**conv("model.diffusion_model.input_blocks.4.1.proj_out", "P_bg57", "P_bg58"),
**easyblock("model.diffusion_model.input_blocks.5.0", "P_bg59", "P_bg60"),
**norm("model.diffusion_model.input_blocks.5.1.norm", "P_bg61"),
**conv("model.diffusion_model.input_blocks.5.1.proj_in", "P_bg61", "P_bg62"),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_q", "P_bg63", "P_bg64", bias=False),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_k", "P_bg63", "P_bg64", bias=False),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_v", "P_bg63", "P_bg64", bias=False),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn1.to_out.0", "P_bg63", "P_bg64", bias=True),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.0.proj", "P_bg65", "P_bg66", bias=True),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.ff.net.2", "P_bg67", "P_bg68", bias=True),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_q", "P_bg69", "P_bg70", bias=False),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_k", "P_bg71", "P_bg72", bias=False),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_v", "P_bg71", "P_bg72", bias=False),
**dense("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.attn2.to_out.0", "P_bg73", "P_bg74", bias=True),
**norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm1", "P_bg74"),
**norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm2", "P_bg74"),
**norm("model.diffusion_model.input_blocks.5.1.transformer_blocks.0.norm3", "P_bg74"),
**conv("model.diffusion_model.input_blocks.5.1.proj_out", "P_bg74", "P_bg75"),
**conv("model.diffusion_model.input_blocks.6.0.op", "P_bg76", "P_bg77"),
**easyblock("model.diffusion_model.input_blocks.7.0", "P_bg78", "P_bg79"),
**conv("model.diffusion_model.input_blocks.7.0.skip_connection", "P_bg80", "P_bg81"),
**norm("model.diffusion_model.input_blocks.7.1.norm", "P_bg82"),
**conv("model.diffusion_model.input_blocks.7.1.proj_in", "P_bg82", "P_bg83"),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_q", "P_bg84", "P_bg85", bias=False),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_k", "P_bg84", "P_bg85", bias=False),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_v", "P_bg84", "P_bg85", bias=False),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn1.to_out.0", "P_bg84", "P_bg85", bias=True),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.0.proj", "P_bg86", "P_bg87", bias=True),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.ff.net.2", "P_bg88", "P_bg89", bias=True),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_q", "P_bg90", "P_bg91", bias=False),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_k", "P_bg92", "P_bg93", bias=False),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_v", "P_bg92", "P_bg93", bias=False),
**dense("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.attn2.to_out.0", "P_bg94", "P_bg95", bias=True),
**norm("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm1", "P_bg95"),
**norm("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm2", "P_bg95"),
**norm("model.diffusion_model.input_blocks.7.1.transformer_blocks.0.norm3", "P_bg95"),
**conv("model.diffusion_model.input_blocks.7.1.proj_out", "P_bg95", "P_bg96"),
**easyblock("model.diffusion_model.input_blocks.8.0", "P_bg97", "P_bg98"),
**norm("model.diffusion_model.input_blocks.8.1.norm", "P_bg99"),
**conv("model.diffusion_model.input_blocks.8.1.proj_in", "P_bg99", "P_bg100"),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_q", "P_bg101", "P_bg102", bias=False),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_k", "P_bg101", "P_bg102", bias=False),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_v", "P_bg101", "P_bg102", bias=False),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn1.to_out.0", "P_bg101", "P_bg102", bias=True),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.0.proj", "P_bg103", "P_bg104", bias=True),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.ff.net.2", "P_bg105", "P_bg106", bias=True),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_q", "P_bg107", "P_bg108", bias=False),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_k", "P_bg109", "P_bg110", bias=False),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_v", "P_bg109", "P_bg110", bias=False),
**dense("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.attn2.to_out.0", "P_bg111", "P_bg112", bias=True),
**norm("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm1", "P_bg112"),
**norm("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm2", "P_bg112"),
**norm("model.diffusion_model.input_blocks.8.1.transformer_blocks.0.norm3", "P_bg112"),
**conv("model.diffusion_model.input_blocks.8.1.proj_out", "P_bg112", "P_bg113"),
**conv("model.diffusion_model.input_blocks.9.0.op", "P_bg114", "P_bg115"),
**easyblock("model.diffusion_model.input_blocks.10.0", "P_bg115", "P_bg116"),
**easyblock("model.diffusion_model.input_blocks.11.0", "P_bg116", "P_bg117"),
# middle blocks
**easyblock("model.diffusion_model.middle_block.0", "P_bg117", "P_bg118"),
**norm("model.diffusion_model.middle_block.1.norm", "P_bg119"),
**conv("model.diffusion_model.middle_block.1.proj_in", "P_bg119", "P_bg120"),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_q", "P_bg121", "P_bg122", bias=False),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_k", "P_bg121", "P_bg122", bias=False),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_v", "P_bg121", "P_bg122", bias=False),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn1.to_out.0", "P_bg121", "P_bg122", bias=True),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.0.proj", "P_bg123", "P_bg124", bias=True),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.ff.net.2", "P_bg125", "P_bg126", bias=True),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_q", "P_bg127", "P_bg128", bias=False),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_k", "P_bg129", "P_bg130", bias=False),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_v", "P_bg129", "P_bg130", bias=False),
**dense("model.diffusion_model.middle_block.1.transformer_blocks.0.attn2.to_out.0", "P_bg131", "P_bg132", bias=True),
**norm("model.diffusion_model.middle_block.1.transformer_blocks.0.norm1", "P_bg132"),
**norm("model.diffusion_model.middle_block.1.transformer_blocks.0.norm2", "P_bg132"),
**norm("model.diffusion_model.middle_block.1.transformer_blocks.0.norm3", "P_bg132"),
**conv("model.diffusion_model.middle_block.1.proj_out", "P_bg132", "P_bg133"),
**easyblock("model.diffusion_model.middle_block.2", "P_bg134", "P_bg135"),
# output blocks
**easyblock("model.diffusion_model.output_blocks.0.0", "P_bg136", "P_bg137"),
**conv("model.diffusion_model.output_blocks.0.0.skip_connection", "P_bg138", "P_bg139"),
**easyblock("model.diffusion_model.output_blocks.1.0", "P_bg140", "P_bg141"),
**conv("model.diffusion_model.output_blocks.1.0.skip_connection", "P_bg142", "P_bg143"),
**easyblock("model.diffusion_model.output_blocks.2.0", "P_bg144", "P_bg145"),
**conv("model.diffusion_model.output_blocks.2.0.skip_connection", "P_bg146", "P_bg147"),
**conv("model.diffusion_model.output_blocks.2.1.conv", "P_bg148", "P_bg149"),
**easyblock("model.diffusion_model.output_blocks.3.0", "P_bg150", "P_bg151"),
**conv("model.diffusion_model.output_blocks.3.0.skip_connection", "P_bg152", "P_bg153"),
**norm("model.diffusion_model.output_blocks.3.1.norm", "P_bg154"),
**conv("model.diffusion_model.output_blocks.3.1.proj_in", "P_bg154", "P_bg155"),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_q", "P_bg156", "P_bg157", bias=False),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_k", "P_bg156", "P_bg157", bias=False),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_v", "P_bg156", "P_bg157", bias=False),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn1.to_out.0", "P_bg156", "P_bg157", bias=True),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.0.proj", "P_bg158", "P_bg159", bias=True),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.ff.net.2", "P_bg160", "P_bg161", bias=True),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_q", "P_bg162", "P_bg163", bias=False),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_k", "P_bg164", "P_bg165", bias=False),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_v", "P_bg164", "P_bg165", bias=False),
**dense("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.attn2.to_out.0", "P_bg166", "P_bg167", bias=True),
**norm("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm1", "P_bg167"),
**norm("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm2", "P_bg167"),
**norm("model.diffusion_model.output_blocks.3.1.transformer_blocks.0.norm3", "P_bg167"),
**conv("model.diffusion_model.output_blocks.3.1.proj_out", "P_bg167", "P_bg168"),
**easyblock("model.diffusion_model.output_blocks.4.0", "P_bg169", "P_bg170"),
**conv("model.diffusion_model.output_blocks.4.0.skip_connection", "P_bg171", "P_bg172"),
**norm("model.diffusion_model.output_blocks.4.1.norm", "P_bg173"),
**conv("model.diffusion_model.output_blocks.4.1.proj_in", "P_bg173", "P_bg174"),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_q", "P_bg175", "P_bg176", bias=False),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_k", "P_bg175", "P_bg176", bias=False),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_v", "P_bg175", "P_bg176", bias=False),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn1.to_out.0", "P_bg175", "P_bg176", bias=True),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.0.proj", "P_bg177", "P_bg178", bias=True),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.ff.net.2", "P_bg179", "P_bg180", bias=True),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_q", "P_bg181", "P_bg182", bias=False),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_k", "P_bg183", "P_bg184", bias=False),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_v", "P_bg183", "P_bg184", bias=False),
**dense("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.attn2.to_out.0", "P_bg185", "P_bg186", bias=True),
**norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm1", "P_bg186"),
**norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm2", "P_bg186"),
**norm("model.diffusion_model.output_blocks.4.1.transformer_blocks.0.norm3", "P_bg186"),
**conv("model.diffusion_model.output_blocks.4.1.proj_out", "P_bg186", "P_bg187"),
**easyblock("model.diffusion_model.output_blocks.5.0", "P_bg188", "P_bg189"),
**conv("model.diffusion_model.output_blocks.5.0.skip_connection", "P_bg190", "P_bg191"),
**norm("model.diffusion_model.output_blocks.5.1.norm", "P_bg192"),
**conv("model.diffusion_model.output_blocks.5.1.proj_in", "P_bg192", "P_bg193"),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_q", "P_bg194", "P_bg195", bias=False),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_k", "P_bg194", "P_bg195", bias=False),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_v", "P_bg194", "P_bg195", bias=False),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn1.to_out.0", "P_bg194", "P_bg195", bias=True),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.0.proj", "P_bg196", "P_bg197", bias=True),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.ff.net.2", "P_bg198", "P_bg199", bias=True),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_q", "P_bg200", "P_bg201", bias=False),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_k", "P_bg202", "P_bg203", bias=False),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_v", "P_bg202", "P_bg203", bias=False),
**dense("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.attn2.to_out.0", "P_bg204", "P_bg205", bias=True),
**norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm1", "P_bg205"),
**norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm2", "P_bg205"),
**norm("model.diffusion_model.output_blocks.5.1.transformer_blocks.0.norm3", "P_bg205"),
**conv("model.diffusion_model.output_blocks.5.1.proj_out", "P_bg205", "P_bg206"),
**conv("model.diffusion_model.output_blocks.5.2.conv", "P_bg206", "P_bg207"),
**easyblock("model.diffusion_model.output_blocks.6.0", "P_bg208", "P_bg209"),
**conv("model.diffusion_model.output_blocks.6.0.skip_connection", "P_bg210", "P_bg211"),
**norm("model.diffusion_model.output_blocks.6.1.norm", "P_bg212"),
**conv("model.diffusion_model.output_blocks.6.1.proj_in", "P_bg212", "P_bg213"),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_q", "P_bg214", "P_bg215", bias=False),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_k", "P_bg214", "P_bg215", bias=False),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_v", "P_bg214", "P_bg215", bias=False),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn1.to_out.0", "P_bg214", "P_bg215", bias=True),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.ff.net.0.proj", "P_bg216", "P_bg217", bias=True),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.ff.net.2", "P_bg218", "P_bg219", bias=True),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_q", "P_bg220", "P_bg221", bias=False),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_k", "P_bg222", "P_bg223", bias=False),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_v", "P_bg222", "P_bg223", bias=False),
**dense("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.attn2.to_out.0", "P_bg224", "P_bg225", bias=True),
**norm("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm1", "P_bg225"),
**norm("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm2", "P_bg225"),
**norm("model.diffusion_model.output_blocks.6.1.transformer_blocks.0.norm3", "P_bg225"),
**conv("model.diffusion_model.output_blocks.6.1.proj_out", "P_bg225", "P_bg226"),
**easyblock("model.diffusion_model.output_blocks.7.0", "P_bg227", "P_bg228"),
**conv("model.diffusion_model.output_blocks.7.0.skip_connection", "P_bg229", "P_bg230"),
**norm("model.diffusion_model.output_blocks.7.1.norm", "P_bg231"),
**conv("model.diffusion_model.output_blocks.7.1.proj_in", "P_bg231", "P_bg232"),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_q", "P_bg233", "P_bg234", bias=False),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_k", "P_bg233", "P_bg234", bias=False),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_v", "P_bg233", "P_bg234", bias=False),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn1.to_out.0", "P_bg233", "P_bg234", bias=True),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.0.proj", "P_bg235", "P_bg236", bias=True),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.ff.net.2", "P_bg237", "P_bg238", bias=True),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_q", "P_bg239", "P_bg240", bias=False),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_k", "P_bg241", "P_bg242", bias=False),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_v", "P_bg241", "P_bg242", bias=False),
**dense("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.attn2.to_out.0", "P_bg243", "P_bg244", bias=True),
**norm("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm1", "P_bg244"),
**norm("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm2", "P_bg244"),
**norm("model.diffusion_model.output_blocks.7.1.transformer_blocks.0.norm3", "P_bg244"),
**conv("model.diffusion_model.output_blocks.7.1.proj_out", "P_bg244", "P_bg245"),
**easyblock("model.diffusion_model.output_blocks.8.0", "P_bg246", "P_bg247"),
**conv("model.diffusion_model.output_blocks.8.0.skip_connection", "P_bg248", "P_bg249"),
**norm("model.diffusion_model.output_blocks.8.1.norm", "P_bg250"),
**conv("model.diffusion_model.output_blocks.8.1.proj_in", "P_bg250", "P_bg251"),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_q", "P_bg252", "P_bg253", bias=False),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_k", "P_bg252", "P_bg253", bias=False),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_v", "P_bg252", "P_bg253", bias=False),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn1.to_out.0", "P_bg252", "P_bg253", bias=True),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.0.proj", "P_bg254", "P_bg255", bias=True),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.ff.net.2", "P_bg256", "P_bg257", bias=True),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_q", "P_bg258", "P_bg259", bias=False),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_k", "P_bg260", "P_bg261", bias=False),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_v", "P_bg260", "P_bg261", bias=False),
**dense("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.attn2.to_out.0", "P_bg262", "P_bg263", bias=True),
**norm("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm1", "P_bg263"),
**norm("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm2", "P_bg263"),
**norm("model.diffusion_model.output_blocks.8.1.transformer_blocks.0.norm3", "P_bg263"),
**conv("model.diffusion_model.output_blocks.8.1.proj_out", "P_bg263", "P_bg264"),
**conv("model.diffusion_model.output_blocks.8.2.conv", "P_bg265", "P_bg266"),
**easyblock("model.diffusion_model.output_blocks.9.0", "P_bg267", "P_bg268"),
**conv("model.diffusion_model.output_blocks.9.0.skip_connection", "P_bg269", "P_bg270"),
**norm("model.diffusion_model.output_blocks.9.1.norm", "P_bg271"),
**conv("model.diffusion_model.output_blocks.9.1.proj_in", "P_bg271", "P_bg272"),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_q", "P_bg273", "P_bg274", bias=False),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_k", "P_bg273", "P_bg274", bias=False),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_v", "P_bg273", "P_bg274", bias=False),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn1.to_out.0", "P_bg273", "P_bg274", bias=True),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.0.proj", "P_bg275", "P_bg276", bias=True),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.ff.net.2", "P_bg277", "P_bg278", bias=True),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_q", "P_bg279", "P_bg280", bias=False),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_k", "P_bg281", "P_bg282", bias=False),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_v", "P_bg281", "P_bg282", bias=False),
**dense("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.attn2.to_out.0", "P_bg283", "P_bg284", bias=True),
**norm("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm1", "P_bg284"),
**norm("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm2", "P_bg284"),
**norm("model.diffusion_model.output_blocks.9.1.transformer_blocks.0.norm3", "P_bg284"),
**conv("model.diffusion_model.output_blocks.9.1.proj_out", "P_bg284", "P_bg285"),
**easyblock("model.diffusion_model.output_blocks.10.0", "P_bg286", "P_bg287"),
**conv("model.diffusion_model.output_blocks.10.0.skip_connection", "P_bg288", "P_bg289"),
**norm("model.diffusion_model.output_blocks.10.1.norm", "P_bg290"),
**conv("model.diffusion_model.output_blocks.10.1.proj_in", "P_bg290", "P_bg291"),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_q", "P_bg292", "P_bg293", bias=False),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_k", "P_bg292", "P_bg293", bias=False),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_v", "P_bg292", "P_bg293", bias=False),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn1.to_out.0", "P_bg292", "P_bg293", bias=True),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.0.proj", "P_b294", "P_bg295", bias=True),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.ff.net.2", "P_bg296", "P_bg297", bias=True),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_q", "P_bg298", "P_bg299", bias=False),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_k", "P_bg300", "P_bg301", bias=False),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_v", "P_bg300", "P_bg301", bias=False),
**dense("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.attn2.to_out.0", "P_bg302", "P_bg303", bias=True),
**norm("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm1", "P_bg303"),
**norm("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm2", "P_bg303"),
**norm("model.diffusion_model.output_blocks.10.1.transformer_blocks.0.norm3", "P_bg303"),
**conv("model.diffusion_model.output_blocks.10.1.proj_out", "P_bg303", "P_bg304"),
**easyblock("model.diffusion_model.output_blocks.11.0", "P_bg305", "P_bg306"),
**conv("model.diffusion_model.output_blocks.11.0.skip_connection", "P_bg307", "P_bg308"),
**norm("model.diffusion_model.output_blocks.11.1.norm", "P_bg309"),
**conv("model.diffusion_model.output_blocks.11.1.proj_in", "P_bg309", "P_bg310"),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_q", "P_bg311", "P_bg312", bias=False),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_k", "P_bg311", "P_bg312", bias=False),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_v", "P_bg311", "P_bg312", bias=False),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn1.to_out.0", "P_bg311", "P_bg312", bias=True),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.0.proj", "P_bg313", "P_bg314", bias=True),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.ff.net.2", "P_bg315", "P_bg316", bias=True),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_q", "P_bg317", "P_bg318", bias=False),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_k", "P_bg319", "P_bg320", bias=False),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_v", "P_bg319", "P_bg320", bias=False),
**dense("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.attn2.to_out.0", "P_bg321", "P_bg322", bias=True),
**norm("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm1", "P_bg322"),
**norm("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm2", "P_bg322"),
**norm("model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm3", "P_bg322"),
**conv("model.diffusion_model.output_blocks.11.1.proj_out", "P_bg322", "P_bg323"),
**norm("model.diffusion_model.out.0", "P_bg324"),
**conv("model.diffusion_model.out.2", "P_bg325", "P_bg326"),
**skip("cond_stage_model.transformer.text_model.embeddings.position_ids", None, None),
**dense("cond_stage_model.transformer.text_model.embeddings.token_embedding", "P_bg365", "P_bg366", bias=False),
**dense("cond_stage_model.transformer.text_model.embeddings.token_embedding", None, None),
**dense("cond_stage_model.transformer.text_model.embeddings.position_embedding", "P_bg367", "P_bg368", bias=False),
# cond stage text encoder
**dense("cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.k_proj", "P_bg369", "P_bg370", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.v_proj", "P_bg369", "P_bg370", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.q_proj", "P_bg369", "P_bg370", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.0.self_attn.out_proj", "P_bg369", "P_bg370", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.0.layer_norm1", "P_bg370"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.0.mlp.fc1", "P_bg370", "P_bg371", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.0.mlp.fc2", "P_bg371", "P_bg372", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.0.layer_norm2", "P_bg372"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.k_proj", "P_bg372", "P_bg373", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.v_proj", "P_bg372", "P_bg373", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.q_proj", "P_bg372", "P_bg373", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.1.self_attn.out_proj", "P_bg372", "P_bg373", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.1.layer_norm1", "P_bg373"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.1.mlp.fc1", "P_bg373", "P_bg374", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.1.mlp.fc2", "P_bg374", "P_bg375", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.1.layer_norm2", "P_bg375"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.k_proj", "P_bg375", "P_bg376", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.v_proj", "P_bg375", "P_bg376", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.q_proj", "P_bg375", "P_bg376", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.2.self_attn.out_proj", "P_bg375", "P_bg376", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.2.layer_norm1", "P_bg376"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc1", "P_bg376", "P_bg377", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.2.mlp.fc2", "P_bg377", "P_bg378", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.2.layer_norm2", "P_bg378"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.k_proj", "P_bg378", "P_bg379", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.v_proj", "P_bg378", "P_bg379", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.q_proj", "P_bg378", "P_bg379", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.3.self_attn.out_proj", "P_bg378", "P_bg379", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.3.layer_norm1", "P_bg379"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc1", "P_bg379", "P_bg380", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.3.mlp.fc2", "P_bg380", "P_b381", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.3.layer_norm2", "P_bg381"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.k_proj", "P_bg381", "P_bg382", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.v_proj", "P_bg381", "P_bg382", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.q_proj", "P_bg381", "P_bg382", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.4.self_attn.out_proj", "P_bg381", "P_bg382", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.4.layer_norm1", "P_bg382"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.4.mlp.fc1", "P_bg382", "P_bg383", bias=True),
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**norm("cond_stage_model.transformer.text_model.encoder.layers.7.layer_norm2", "P_bg394"),
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**dense("cond_stage_model.transformer.text_model.encoder.layers.8.self_attn.q_proj", "P_bg394", "P_bg395", bias=True),
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**norm("cond_stage_model.transformer.text_model.encoder.layers.8.layer_norm1", "P_bg395"),
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**dense("cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.v_proj", "P_bg397", "P_bg398", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.q_proj", "P_bg397", "P_bg398", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.9.self_attn.out_proj", "P_bg397", "P_bg398", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.9.layer_norm1", "P_bg398"),
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**dense("cond_stage_model.transformer.text_model.encoder.layers.9.mlp.fc2", "P_bg400", "P_bg401", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.9.layer_norm2", "P_bg401"),
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**dense("cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.q_proj", "P_bg401", "P_bg402", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.10.self_attn.out_proj", "P_bg401", "P_bg402", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.10.layer_norm1", "P_bg402"),
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**dense("cond_stage_model.transformer.text_model.encoder.layers.10.mlp.fc2", "P_bg403", "P_bg404", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.10.layer_norm2", "P_bg404"),
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**dense("cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.q_proj", "P_bg404", "P_bg405", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.11.self_attn.out_proj", "P_bg404", "P_bg405", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.11.layer_norm1", "P_bg405"),
**dense("cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc1", "P_bg405", "P_bg406", bias=True),
**dense("cond_stage_model.transformer.text_model.encoder.layers.11.mlp.fc2", "P_bg406", "P_bg407", bias=True),
**norm("cond_stage_model.transformer.text_model.encoder.layers.11.layer_norm2", "P_bg407"),
**norm("cond_stage_model.transformer.text_model.final_layer_norm", "P_bg407"),
}
)
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