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Unverified Commit e6a84922 authored by M. Tolga Cangöz's avatar M. Tolga Cangöz Committed by GitHub
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Use PyTorch's conventional inplace functions (#7332) 


Co-authored-by: default avatarSayak Paul <spsayakpaul@gmail.com>
parent ad0308b3
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Showing with 6 additions and 6 deletions
tests/pipelines/controlnet/test_controlnet.py
View file @ e6a84922
...@@ -302,7 +302,7 @@ class StableDiffusionMultiControlNetPipelineFastTests( ...@@ -302,7 +302,7 @@ class StableDiffusionMultiControlNetPipelineFastTests(
def init_weights(m): def init_weights(m):
if isinstance(m, torch.nn.Conv2d): if isinstance(m, torch.nn.Conv2d):
torch.nn.init.normal(m.weight) torch.nn.init.normal_(m.weight)
m.bias.data.fill_(1.0) m.bias.data.fill_(1.0)
controlnet1 = ControlNetModel( controlnet1 = ControlNetModel(
...@@ -519,7 +519,7 @@ class StableDiffusionMultiControlNetOneModelPipelineFastTests( ...@@ -519,7 +519,7 @@ class StableDiffusionMultiControlNetOneModelPipelineFastTests(
def init_weights(m): def init_weights(m):
if isinstance(m, torch.nn.Conv2d): if isinstance(m, torch.nn.Conv2d):
torch.nn.init.normal(m.weight) torch.nn.init.normal_(m.weight)
m.bias.data.fill_(1.0) m.bias.data.fill_(1.0)
controlnet = ControlNetModel( controlnet = ControlNetModel(
......
tests/pipelines/controlnet/test_controlnet_img2img.py
View file @ e6a84922
...@@ -210,7 +210,7 @@ class StableDiffusionMultiControlNetPipelineFastTests( ...@@ -210,7 +210,7 @@ class StableDiffusionMultiControlNetPipelineFastTests(
def init_weights(m): def init_weights(m):
if isinstance(m, torch.nn.Conv2d): if isinstance(m, torch.nn.Conv2d):
torch.nn.init.normal(m.weight) torch.nn.init.normal_(m.weight)
m.bias.data.fill_(1.0) m.bias.data.fill_(1.0)
controlnet1 = ControlNetModel( controlnet1 = ControlNetModel(
......
tests/pipelines/controlnet/test_controlnet_inpaint.py
View file @ e6a84922
...@@ -273,7 +273,7 @@ class MultiControlNetInpaintPipelineFastTests( ...@@ -273,7 +273,7 @@ class MultiControlNetInpaintPipelineFastTests(
def init_weights(m): def init_weights(m):
if isinstance(m, torch.nn.Conv2d): if isinstance(m, torch.nn.Conv2d):
torch.nn.init.normal(m.weight) torch.nn.init.normal_(m.weight)
m.bias.data.fill_(1.0) m.bias.data.fill_(1.0)
controlnet1 = ControlNetModel( controlnet1 = ControlNetModel(
......
tests/pipelines/controlnet/test_controlnet_sdxl.py
View file @ e6a84922
...@@ -503,7 +503,7 @@ class StableDiffusionXLMultiControlNetPipelineFastTests( ...@@ -503,7 +503,7 @@ class StableDiffusionXLMultiControlNetPipelineFastTests(
def init_weights(m): def init_weights(m):
if isinstance(m, torch.nn.Conv2d): if isinstance(m, torch.nn.Conv2d):
torch.nn.init.normal(m.weight) torch.nn.init.normal_(m.weight)
m.bias.data.fill_(1.0) m.bias.data.fill_(1.0)
controlnet1 = ControlNetModel( controlnet1 = ControlNetModel(
...@@ -708,7 +708,7 @@ class StableDiffusionXLMultiControlNetOneModelPipelineFastTests( ...@@ -708,7 +708,7 @@ class StableDiffusionXLMultiControlNetOneModelPipelineFastTests(
def init_weights(m): def init_weights(m):
if isinstance(m, torch.nn.Conv2d): if isinstance(m, torch.nn.Conv2d):
torch.nn.init.normal(m.weight) torch.nn.init.normal_(m.weight)
m.bias.data.fill_(1.0) m.bias.data.fill_(1.0)
controlnet = ControlNetModel( controlnet = ControlNetModel(
......
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