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Update how attention_maps are created

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James Betker 2020-08-01 20:23:46 -06:00
parent c139f5cd17
commit f33ed578a2
1 changed files with 11 additions and 4 deletions
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15
codes/models/archs/SwitchedResidualGenerator_arch.py
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@ -7,7 +7,8 @@ from collections import OrderedDict
from models.archs.arch_util import ConvBnLelu, ConvGnSilu, ExpansionBlock from models.archs.arch_util import ConvBnLelu, ConvGnSilu, ExpansionBlock
from models.archs.RRDBNet_arch import ResidualDenseBlock_5C, RRDB from models.archs.RRDBNet_arch import ResidualDenseBlock_5C, RRDB
from models.archs.spinenet_arch import SpineNet from models.archs.spinenet_arch import SpineNet
from switched_conv_util import save_attention_to_image from switched_conv_util import save_attention_to_image_rgb
import os
class MultiConvBlock(nn.Module): class MultiConvBlock(nn.Module):
@ -228,7 +229,9 @@ class ConfigurableSwitchedResidualGenerator2(nn.Module):
temp = 1 / temp temp = 1 / temp
self.set_temperature(temp) self.set_temperature(temp)
if step % 50 == 0: if step % 50 == 0:
[save_attention_to_image(experiments_path, self.attentions[i], self.transformation_counts, step, "a%i" % (i+1,), l_mult=10) for i in range(len(self.attentions))] output_path = os.path.join(experiments_path, "attention_maps", "a%i")
prefix = "attention_map_%i_%%i.png" % (step,)
[save_attention_to_image_rgb(output_path % (i,), self.attentions[i], self.transformation_counts, prefix, step) for i in range(len(self.attentions))]
def get_debug_values(self, step): def get_debug_values(self, step):
temp = self.switches[0].switch.temperature temp = self.switches[0].switch.temperature
@ -335,7 +338,9 @@ class ConfigurableSwitchedResidualGenerator4(nn.Module):
temp = 1 / temp temp = 1 / temp
self.set_temperature(temp) self.set_temperature(temp)
if step % 50 == 0: if step % 50 == 0:
[save_attention_to_image(experiments_path, self.attentions[i], self.transformation_counts, step, "a%i" % (i+1,), l_mult=10) for i in range(len(self.attentions))] output_path = os.path.join(experiments_path, "attention_maps", "a%i")
prefix = "attention_map_%i_%%i.png" % (step,)
[save_attention_to_image_rgb(output_path % (i,), self.attentions[i], self.transformation_counts, prefix, step) for i in range(len(self.attentions))]
def get_debug_values(self, step): def get_debug_values(self, step):
temp = self.switches[0].switch.temperature temp = self.switches[0].switch.temperature
@ -426,7 +431,9 @@ class ConfigurableSwitchedResidualGenerator3(nn.Module):
temp = 1 / temp temp = 1 / temp
self.set_temperature(temp) self.set_temperature(temp)
if step % 50 == 0: if step % 50 == 0:
save_attention_to_image(experiments_path, self.attentions[0], self.transformation_counts, step, "a%i" % (1,), l_mult=10) output_path = os.path.join(experiments_path, "attention_maps", "a%i")
prefix = "attention_map_%i_%%i.png" % (step,)
[save_attention_to_image_rgb(output_path % (i,), self.attentions[i], self.transformation_counts, prefix, step) for i in range(len(self.attentions))]
def get_debug_values(self, step): def get_debug_values(self, step):
temp = self.switch.switch.temperature temp = self.switch.switch.temperature