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Remove less useful ToMe options from the xyz plot

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This commit is contained in:
nekoworkshop
2023-04-29 23:01:31 -04:00
parent c4936fc927
commit df965a837b
1 changed files with 1 additions and 47 deletions
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scripts/xyz_grid.py
+1 -47
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@@ -151,35 +151,10 @@ def apply_token_merging_ratio_hr(p, x, xs):
def apply_token_merging_ratio(p, x, xs):
opts.data["token_merging_ratio"] = x
def apply_token_merging_hr_only(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
opts.data["token_merging_hr_only"] = is_active
def apply_token_merging_random(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
opts.data["token_merging_random"] = is_active
def apply_token_merging_attention(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
opts.data["token_merging_merge_attention"] = is_active
def apply_token_merging_cross_attention(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
opts.data["token_merging_merge_cross_attention"] = is_active
def apply_token_merging_mlp(p, x, xs):
is_active = x.lower() in ('true', 'yes', 'y', '1')
opts.data["token_merging_merge_mlp"] = is_active
def apply_token_merging_maximum_down_sampling (p, x, xs):
opts.data["token_merging_maximum_down_sampling"] = x
def apply_token_merging_stride_x(p, x, xs):
opts.data["token_merging_stride_x"] = x
def apply_token_merging_stride_y(p, x, xs):
opts.data["token_merging_stride_y"] = x
def format_value_add_label(p, opt, x):
if type(x) == float:
x = round(x, 8)
@@ -262,14 +237,7 @@ axis_options = [
AxisOption("Face restore", str, apply_face_restore, format_value=format_value),
AxisOption("ToMe ratio",float,apply_token_merging_ratio),
AxisOption("ToMe ratio for Hires fix",float,apply_token_merging_ratio_hr),
AxisOption("ToMe apply only to Hires fix",str,apply_token_merging_hr_only, choices= lambda: ["Yes","No"]),
AxisOption("ToMe random pertubations",str,apply_token_merging_random, choices = lambda: ["Yes","No"]),
AxisOption("ToMe merge attention", str, apply_token_merging_attention, choices= lambda: ["Yes","No"]),
AxisOption("ToMe merge cross attention", str, apply_token_merging_cross_attention, choices= lambda: ["Yes","No"]),
AxisOption("ToMe merge mlp", str, apply_token_merging_mlp, choices= lambda: ["Yes","No"]),
AxisOption("ToMe maximum down sampling", int, apply_token_merging_maximum_down_sampling, choices= lambda: ["1","2","4","8"]),
AxisOption("ToMe Stride - X", int, apply_token_merging_stride_x, choices= lambda: ["2","4","6","8"]),
AxisOption("ToMe Stride - Y", int, apply_token_merging_stride_y, choices= lambda: ["2","4","6","8"])
AxisOption("ToMe random pertubations",str,apply_token_merging_random, choices = lambda: ["Yes","No"])
]
@@ -392,14 +360,7 @@ class SharedSettingsStackHelper(object):
self.uni_pc_order = opts.uni_pc_order
self.token_merging_ratio_hr = opts.token_merging_ratio_hr
self.token_merging_ratio = opts.token_merging_ratio
self.token_merging_hr_only = opts.token_merging_hr_only
self.token_merging_random = opts.token_merging_random
self.token_merging_merge_attention = opts.token_merging_merge_attention
self.token_merging_merge_cross_attention = opts.token_merging_merge_cross_attention
self.token_merging_merge_mlp = opts.token_merging_merge_mlp
self.token_merging_maximum_down_sampling = opts.token_merging_maximum_down_sampling
self.token_merging_stride_x = opts.token_merging_stride_x
self.token_merging_stride_y = opts.token_merging_stride_y
def __exit__(self, exc_type, exc_value, tb):
#Restore overriden settings after plot generation.
@@ -412,14 +373,7 @@ class SharedSettingsStackHelper(object):
opts.data["token_merging_ratio_hr"] = self.token_merging_ratio_hr
opts.data["token_merging_ratio"] = self.token_merging_ratio
opts.data["token_merging_hr_only"] = self.token_merging_hr_only
opts.data["token_merging_random"] = self.token_merging_random
opts.data["token_merging_merge_attention"] = self.token_merging_merge_attention
opts.data["token_merging_merge_cross_attention"] = self.token_merging_merge_cross_attention
opts.data["token_merging_merge_mlp"] = self.token_merging_merge_mlp
opts.data["token_merging_maximum_down_sampling"] = self.token_merging_maximum_down_sampling
opts.data["token_merging_stride_x"] = self.token_merging_stride_x
opts.data["token_merging_stride_y"] = self.token_merging_stride_y
re_range = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\(([+-]\d+)\s*\))?\s*")
re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\(([+-]\d+(?:.\d*)?)\s*\))?\s*")