From 774dc98d3b1bcf29fb0f4ce6038e5f9d864cc272 Mon Sep 17 00:00:00 2001 From: Michael Schmidt Date: Sun, 26 Nov 2023 20:42:47 +0100 Subject: [PATCH] Use heuristic for undetectable GRLIR params in some cases (#53) --- src/spandrel/__helpers/main_registry.py | 37 ++-- src/spandrel/architectures/GRLIR/__init__.py | 64 +++++- src/spandrel/architectures/GRLIR/arch/grl.py | 207 +----------------- .../GRLIR/arch/mixed_attn_block_efficient.py | 5 +- src/spandrel/architectures/GRLIR/arch/ops.py | 29 ++- tests/__snapshots__/test_GRLIR.ambr | 107 ++------- tests/images/outputs/16x16/bsr_grl_base.png | Bin 0 -> 9138 bytes .../16x16/db_motion_grl_base_gopro.png | Bin 826 -> 0 bytes .../outputs/16x16/dn_grl_base_c3s50.png | Bin 780 -> 0 bytes .../outputs/16x16/dn_grl_small_c3s15.png | Bin 816 -> 0 bytes .../images/outputs/16x16/sr_grl_tiny_c3x3.png | Bin 5332 -> 5336 bytes .../images/outputs/16x16/sr_grl_tiny_c3x4.png | Bin 8517 -> 8644 bytes tests/images/outputs/32x32/bsr_grl_base.png | Bin 0 -> 24696 bytes .../32x32/db_motion_grl_base_gopro.png | Bin 2434 -> 0 bytes .../outputs/32x32/dn_grl_base_c3s50.png | Bin 2521 -> 0 bytes .../outputs/32x32/dn_grl_small_c3s15.png | Bin 2408 -> 0 bytes .../images/outputs/32x32/sr_grl_tiny_c3x3.png | Bin 17159 -> 17643 bytes .../images/outputs/32x32/sr_grl_tiny_c3x4.png | Bin 27667 -> 29232 bytes tests/images/outputs/64x64/bsr_grl_base.png | Bin 0 -> 76051 bytes .../64x64/db_motion_grl_base_gopro.png | Bin 6409 -> 0 bytes .../outputs/64x64/dn_grl_base_c3s50.png | Bin 7432 -> 0 bytes .../outputs/64x64/dn_grl_small_c3s15.png | Bin 6608 -> 0 bytes .../outputs/64x64/jpeg_grl_small_c3q20.png | Bin 6958 -> 0 bytes .../images/outputs/64x64/sr_grl_tiny_c3x3.png | Bin 44413 -> 48157 bytes .../images/outputs/64x64/sr_grl_tiny_c3x4.png | Bin 72546 -> 77128 bytes .../outputs/jpeg-15/jpeg_grl_small_c3q20.png | Bin 142862 -> 0 bytes tests/test_GRLIR.py | 196 +++++++++-------- 27 files changed, 227 insertions(+), 418 deletions(-) create mode 100644 tests/images/outputs/16x16/bsr_grl_base.png delete mode 100644 tests/images/outputs/16x16/db_motion_grl_base_gopro.png delete mode 100644 tests/images/outputs/16x16/dn_grl_base_c3s50.png delete mode 100644 tests/images/outputs/16x16/dn_grl_small_c3s15.png create mode 100644 tests/images/outputs/32x32/bsr_grl_base.png delete mode 100644 tests/images/outputs/32x32/db_motion_grl_base_gopro.png delete mode 100644 tests/images/outputs/32x32/dn_grl_base_c3s50.png delete mode 100644 tests/images/outputs/32x32/dn_grl_small_c3s15.png create mode 100644 tests/images/outputs/64x64/bsr_grl_base.png delete mode 100644 tests/images/outputs/64x64/db_motion_grl_base_gopro.png delete mode 100644 tests/images/outputs/64x64/dn_grl_base_c3s50.png delete mode 100644 tests/images/outputs/64x64/dn_grl_small_c3s15.png delete mode 100644 tests/images/outputs/64x64/jpeg_grl_small_c3q20.png delete mode 100644 tests/images/outputs/jpeg-15/jpeg_grl_small_c3q20.png diff --git a/src/spandrel/__helpers/main_registry.py b/src/spandrel/__helpers/main_registry.py index db93d643..6727720c 100644 --- a/src/spandrel/__helpers/main_registry.py +++ b/src/spandrel/__helpers/main_registry.py @@ -86,20 +86,29 @@ def _detect(state_dict: StateDict) -> bool: ), ArchSupport( id="GRLIR", - detect=lambda state: _has_keys( - "conv_first.weight", - "norm_start.weight", - "norm_end.weight", - "layers.0.blocks.0.attn.window_attn.attn_transform.logit_scale", - "layers.0.blocks.0.attn.stripe_attn.attn_transform1.logit_scale", - )(state) - or _has_keys( - "model.conv_first.weight", - "model.norm_start.weight", - "model.norm_end.weight", - "model.layers.0.blocks.0.attn.window_attn.attn_transform.logit_scale", - "model.layers.0.blocks.0.attn.stripe_attn.attn_transform1.logit_scale", - )(state), + detect=lambda state: ( + _has_keys( + "conv_first.weight", + "norm_start.weight", + "norm_end.weight", + "layers.0.blocks.0.attn.window_attn.attn_transform.logit_scale", + "layers.0.blocks.0.attn.stripe_attn.attn_transform1.logit_scale", + )(state) + or _has_keys( + "model.conv_first.weight", + "model.norm_start.weight", + "model.norm_end.weight", + "model.layers.0.blocks.0.attn.window_attn.attn_transform.logit_scale", + "model.layers.0.blocks.0.attn.stripe_attn.attn_transform1.logit_scale", + )(state) + or _has_keys( + "model_g.conv_first.weight", + "model_g.norm_start.weight", + "model_g.norm_end.weight", + "model_g.layers.0.blocks.0.attn.window_attn.attn_transform.logit_scale", + "model_g.layers.0.blocks.0.attn.stripe_attn.attn_transform1.logit_scale", + )(state) + ), load=GRLIR.load, ), ArchSupport( diff --git a/src/spandrel/architectures/GRLIR/__init__.py b/src/spandrel/architectures/GRLIR/__init__.py index 91791648..bce864fc 100644 --- a/src/spandrel/architectures/GRLIR/__init__.py +++ b/src/spandrel/architectures/GRLIR/__init__.py @@ -9,7 +9,23 @@ from .arch.grl import GRL as GRLIR -def _get_output_params(state_dict: StateDict, in_channels: int) -> tuple[int, str, int]: +def _clean_up_checkpoint(state_dict: StateDict) -> StateDict: + # The official checkpoints are all over the place. + + # Issue 1: some models prefix all keys with "model." + state_dict = remove_common_prefix(state_dict, ["model."]) + + # Issue 2: some models have a bunch of useless keys and prefix all important keys with "model_g." + # (looking at you, `bsr_grl_base.ckpt`) + if "model_g.conv_first.weight" in state_dict: + # only keep keys with "model_g." prefix + state_dict = {k: v for k, v in state_dict.items() if k.startswith("model_g.")} + state_dict = remove_common_prefix(state_dict, ["model_g."]) + + return state_dict + + +def _get_output_params(state_dict: StateDict, in_channels: int): out_channels: int upsampler: str upscale: int @@ -43,7 +59,9 @@ def _get_output_params(state_dict: StateDict, in_channels: int) -> tuple[int, st return out_channels, upsampler, upscale -def _get_anchor_params(state_dict: StateDict) -> tuple[bool, str, int]: +def _get_anchor_params( + state_dict: StateDict, default_down_factor: int +) -> tuple[bool, str, int]: anchor_one_stage: bool anchor_proj_type: str anchor_window_down_factor: int @@ -57,11 +75,11 @@ def _get_anchor_params(state_dict: StateDict) -> tuple[bool, str, int]: # We can deduce neither proj_type nor window_down_factor. # So we'll just assume the values the official configs use. anchor_proj_type = "avgpool" # or "maxpool", who knows? - anchor_window_down_factor = 2 + anchor_window_down_factor = default_down_factor else: anchor_proj_type = "patchmerging" - # window_down_factor is technically undefined here, but 2 makes sense - anchor_window_down_factor = 2 + # window_down_factor is undefined here + anchor_window_down_factor = default_down_factor elif "layers.0.blocks.0.attn.anchor.body.0.weight" in state_dict: anchor_proj_type = "conv2d" anchor_window_down_factor = ( @@ -87,8 +105,7 @@ def _get_anchor_params(state_dict: StateDict) -> tuple[bool, str, int]: def load(state_dict: StateDict) -> SRModelDescriptor[GRLIR]: - # Delightfully, we have to remove a common prefix from the state_dict. - state_dict = remove_common_prefix(state_dict, ["model."]) + state_dict = _clean_up_checkpoint(state_dict) img_size: int = 64 # in_channels: int = 3 @@ -161,13 +178,33 @@ def load(state_dict: StateDict) -> SRModelDescriptor[GRLIR]: # anchor anchor_one_stage, anchor_proj_type, anchor_window_down_factor = _get_anchor_params( - state_dict + state_dict, + # We use 4 as the default value (if the value cannot be detected), because + # that's what all the official models use. + default_down_factor=4, ) # other local_connection = "layers.0.blocks.0.conv.cab.0.weight" in state_dict mlp_ratio = state_dict["layers.0.blocks.0.mlp.fc1.weight"].shape[0] / embed_dim + # Set undetectable parameters. + # These parameters are huge pain, because they vary widely between models, so we'll + # just use some heuristics to support the official models, and call it a day. + if upscale == 1: + # denoise (dn), deblur (db), demosaic (dm), or jpeg + pass + else: + # sr or bsr + if upsampler == "nearest+conv": + # bsr + window_size = 16 + stripe_size = [32, 64] + else: + # sr + window_size = 32 + stripe_size = [64, 64] + model = GRLIR( img_size=img_size, in_channels=in_channels, @@ -200,11 +237,20 @@ def load(state_dict: StateDict) -> SRModelDescriptor[GRLIR]: euclidean_dist=euclidean_dist, ) + size_tag = "base" + if len(depths) < 6: + size_tag = "small" if embed_dim >= 96 else "tiny" + return SRModelDescriptor( model, state_dict, architecture="GRLIR", - tags=[], + tags=[ + size_tag, + f"{embed_dim}dim", + f"w{window_size}df{anchor_window_down_factor}", + f"s{stripe_size[0]}x{stripe_size[1]}", + ], supports_half=False, supports_bfloat16=True, scale=upscale, diff --git a/src/spandrel/architectures/GRLIR/arch/grl.py b/src/spandrel/architectures/GRLIR/arch/grl.py index 58a043a5..e18212a2 100644 --- a/src/spandrel/architectures/GRLIR/arch/grl.py +++ b/src/spandrel/architectures/GRLIR/arch/grl.py @@ -391,13 +391,15 @@ def __init__( for layer in self.layers: layer._init_weights() - def set_table_index_mask(self, x_size): + def set_table_index_mask(self, x_size: tuple[int, int]): """ Two used cases: 1) At initialization: set the shared buffers. 2) During forward pass: get the new buffers if the resolution of the input changes """ # ss - stripe_size, sss - stripe_shift_size + # ss ~= self.stripe_size + # sss ~= self.stripe_size / 2 ss, sss = _get_stripe_info(self.stripe_size, self.stripe_groups, True, x_size) df = self.anchor_window_down_factor @@ -436,7 +438,7 @@ def set_table_index_mask(self, x_size): "mask_sv_w2a": mask_sv_w2a, } - def get_table_index_mask(self, device=None, input_resolution=None): + def get_table_index_mask(self, device, input_resolution: tuple[int, int]): # Used during forward pass if input_resolution == self.input_resolution: return { @@ -575,204 +577,3 @@ def convert_checkpoint(self, state_dict): state_dict.pop(k) print(k) return state_dict - - -if __name__ == "__main__": - window_size = 8 - - # Tiny, 0.33 M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[4, 4, 4, 4], - # embed_dim=32, - # num_heads_window=[2, 2, 2, 2], - # num_heads_stripe=[2, 2, 2, 2], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffledirect", - # ) - - # Small, 3.49 M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[4, 4, 4, 4], - # embed_dim=128, - # num_heads_window=[2, 2, 2, 2], - # num_heads_stripe=[2, 2, 2, 2], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffle", - # ) - - # Base, 13.84 M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[4, 4, 4, 4, 4, 4, 4, 4], - # embed_dim=192, - # num_heads_window=[4, 4, 4, 4, 4, 4, 4, 4], - # num_heads_stripe=[4, 4, 4, 4, 4, 4, 4, 4], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffle", - # ) - - # Large, 24.29 M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[8, 8, 8, 8, 8, 8, 8, 8], - # embed_dim=192, - # num_heads_window=[4, 4, 4, 4, 4, 4, 4, 4], - # num_heads_stripe=[4, 4, 4, 4, 4, 4, 4, 4], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffle", - # ) - - # Huge, 47.83 M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], - # embed_dim=192, - # num_heads_window=[4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], - # num_heads_stripe=[4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffle", - # ) - - # Giant, MLP4 - 117.16 M, MLP2 - 83.54 M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8], - # embed_dim=256, - # num_heads_window=[4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], - # num_heads_stripe=[4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], - # mlp_ratio=4, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffle", - # ) - - # Compare with HAT Large, 43.22 M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[12, 12, 12, 12, 12, 12, 12, 12, 12, 12], - # embed_dim=192, - # num_heads_window=[4, 4, 4, 4, 4, 4, 4, 4, 4, 4], - # num_heads_stripe=[4, 4, 4, 4, 4, 4, 4, 4, 4, 4], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffle", - # ) - - #################### - # Final version - #################### - - # Tiny-final, 0.91M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[4, 4, 4, 4], - # embed_dim=64, - # num_heads_window=[2, 2, 2, 2], - # num_heads_stripe=[2, 2, 2, 2], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffledirect", - # ) - - # Small-final, 3.49M - # model = GRL( - # upscale=4, - # img_size=64, - # window_size=window_size, - # depths=[4, 4, 4, 4], - # embed_dim=128, - # num_heads_window=[2, 2, 2, 2], - # num_heads_stripe=[2, 2, 2, 2], - # mlp_ratio=2, - # qkv_proj_type="linear", - # anchor_proj_type="avgpool", - # anchor_window_down_factor=2, - # out_proj_type="linear", - # conv_type="1conv", - # upsampler="pixelshuffle", - # ) - - # Large, 20.13 M - model = GRL( - upscale=4, - img_size=64, - window_size=window_size, - depths=[4, 4, 8, 8, 8, 4, 4], - embed_dim=180, - num_heads_window=[3, 3, 3, 3, 3, 3, 3], - num_heads_stripe=[3, 3, 3, 3, 3, 3, 3], - mlp_ratio=2, - qkv_proj_type="linear", - anchor_proj_type="avgpool", - anchor_window_down_factor=2, - out_proj_type="linear", - conv_type="1conv", - upsampler="pixelshuffle", - local_connection=True, - ) - - print(model) - # print(height, width, model.flops() / 1e9) - - x = torch.randn((1, 3, 64, 64)) - x = model(x) - print(x.shape) - num_params = 0 - for p in model.parameters(): - if p.requires_grad: - num_params += p.numel() - print(f"Number of parameters {num_params / 10 ** 6: 0.2f}") diff --git a/src/spandrel/architectures/GRLIR/arch/mixed_attn_block_efficient.py b/src/spandrel/architectures/GRLIR/arch/mixed_attn_block_efficient.py index be1aefe6..071b2cc8 100644 --- a/src/spandrel/architectures/GRLIR/arch/mixed_attn_block_efficient.py +++ b/src/spandrel/architectures/GRLIR/arch/mixed_attn_block_efficient.py @@ -66,9 +66,10 @@ def _get_stripe_info( stripe_size_in: list[int], stripe_groups_in: list[int | None], stripe_shift: bool, - input_resolution, + input_resolution: list[int] | tuple[int, int], ): - stripe_size, shift_size = [], [] + stripe_size: list[int] = [] + shift_size: list[int] = [] for s, g, d in zip(stripe_size_in, stripe_groups_in, input_resolution): if g is None: stripe_size.append(s) diff --git a/src/spandrel/architectures/GRLIR/arch/ops.py b/src/spandrel/architectures/GRLIR/arch/ops.py index 75fe3297..ca20ec12 100644 --- a/src/spandrel/architectures/GRLIR/arch/ops.py +++ b/src/spandrel/architectures/GRLIR/arch/ops.py @@ -184,7 +184,10 @@ def calculate_win_mask( return attn_mask -def _get_meshgrid_coords(start_coords, end_coords): +def _get_meshgrid_coords( + start_coords: tuple[int, int] | list[int], + end_coords: tuple[int, int] | list[int], +): coord_h = torch.arange(start_coords[0], end_coords[0]) coord_w = torch.arange(start_coords[1], end_coords[1]) coords = torch.stack(torch.meshgrid([coord_h, coord_w], indexing="ij")) # 2, Wh, Ww @@ -193,7 +196,9 @@ def _get_meshgrid_coords(start_coords, end_coords): def get_relative_coords_table( - window_size, pretrained_window_size=[0, 0], anchor_window_down_factor=1 + window_size: tuple[int, int] | list[int], + pretrained_window_size: tuple[int, int] | list[int] = [0, 0], + anchor_window_down_factor=1, ): """ Use case: 1) @@ -229,7 +234,9 @@ def get_relative_coords_table( def get_relative_coords_table_all( - window_size, pretrained_window_size=[0, 0], anchor_window_down_factor=1 + window_size: tuple[int, int] | list[int], + pretrained_window_size: tuple[int, int] | list[int] = [0, 0], + anchor_window_down_factor=1, ): """ Use case: 3) @@ -289,7 +296,9 @@ def coords_diff(coords1, coords2, max_diff): def get_relative_position_index( - window_size, anchor_window_down_factor=1, window_to_anchor=True + window_size: tuple[int, int] | list[int], + anchor_window_down_factor=1, + window_to_anchor=True, ): """ Use case: 1) @@ -323,7 +332,9 @@ def coords_diff_odd(coords1, coords2, start_coord, max_diff): def get_relative_position_index_all( - window_size, anchor_window_down_factor=1, window_to_anchor=True + window_size: tuple[int, int] | list[int], + anchor_window_down_factor=1, + window_to_anchor=True, ): """ Use case: 3) @@ -356,7 +367,9 @@ def get_relative_position_index_all( def get_relative_position_index_simple( - window_size, anchor_window_down_factor=1, window_to_anchor=True + window_size: tuple[int, int] | list[int], + anchor_window_down_factor=1, + window_to_anchor=True, ): """ Use case: 3) @@ -395,7 +408,9 @@ def get_relative_position_index_simple( # return idx -def get_relative_win_position_index(window_size, anchor_window_size): +def get_relative_win_position_index( + window_size: tuple[int, int] | list[int], anchor_window_size +): """ Use case: 2) """ diff --git a/tests/__snapshots__/test_GRLIR.ambr b/tests/__snapshots__/test_GRLIR.ambr index 771eaf6a..95e3ceee 100644 --- a/tests/__snapshots__/test_GRLIR.ambr +++ b/tests/__snapshots__/test_GRLIR.ambr @@ -1,105 +1,18 @@ # serializer version: 1 -# name: test_GRLIR_db_motion_grl_base_gopro +# name: test_GRLIR_bsr_grl_base SRModelDescriptor( architecture='GRLIR', input_channels=3, output_channels=3, - scale=1, - size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), - supports_bfloat16=True, - supports_half=False, - tags=list([ - ]), - ) -# --- -# name: test_GRLIR_dn_grl_base_c1s25 - SRModelDescriptor( - architecture='GRLIR', - input_channels=1, - output_channels=1, - scale=1, - size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), - supports_bfloat16=True, - supports_half=False, - tags=list([ - ]), - ) -# --- -# name: test_GRLIR_dn_grl_base_c3s50 - SRModelDescriptor( - architecture='GRLIR', - input_channels=3, - output_channels=3, - scale=1, - size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), - supports_bfloat16=True, - supports_half=False, - tags=list([ - ]), - ) -# --- -# name: test_GRLIR_dn_grl_small_c3s15 - SRModelDescriptor( - architecture='GRLIR', - input_channels=3, - output_channels=3, - scale=1, - size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), - supports_bfloat16=True, - supports_half=False, - tags=list([ - ]), - ) -# --- -# name: test_GRLIR_dn_grl_tiny_c1 - SRModelDescriptor( - architecture='GRLIR', - input_channels=2, - output_channels=1, - scale=1, - size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), - supports_bfloat16=True, - supports_half=False, - tags=list([ - ]), - ) -# --- -# name: test_GRLIR_jpeg_grl_small_c1q30 - SRModelDescriptor( - architecture='GRLIR', - input_channels=1, - output_channels=1, - scale=1, - size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), - supports_bfloat16=True, - supports_half=False, - tags=list([ - ]), - ) -# --- -# name: test_GRLIR_jpeg_grl_small_c3 - SRModelDescriptor( - architecture='GRLIR', - input_channels=4, - output_channels=3, - scale=1, - size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), - supports_bfloat16=True, - supports_half=False, - tags=list([ - ]), - ) -# --- -# name: test_GRLIR_jpeg_grl_small_c3q20 - SRModelDescriptor( - architecture='GRLIR', - input_channels=3, - output_channels=3, - scale=1, + scale=4, size_requirements=SizeRequirements(minimum=0, multiple_of=1, square=False), supports_bfloat16=True, supports_half=False, tags=list([ + 'base', + '180dim', + 'w16df4', + 's32x64', ]), ) # --- @@ -113,6 +26,10 @@ supports_bfloat16=True, supports_half=False, tags=list([ + 'tiny', + '64dim', + 'w32df4', + 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