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Scale loss for ipex
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@@ -654,6 +654,8 @@ def train_hypernetwork(id_task, hypernetwork_name, learn_rate, batch_size, gradi
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loss = shared.sd_model.forward(x, c)[0] / gradient_step
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del x
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del c
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if shared.cmd_opts.use_ipex and loss > (1 / gradient_step):
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loss = (loss - (1 / gradient_step)) * 10
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_loss_step += loss.item()
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scaler.scale(loss).backward()
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@@ -486,6 +486,8 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st
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else:
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loss = shared.sd_model.forward(x, cond)[0] / gradient_step
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del x
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if shared.cmd_opts.use_ipex and loss > (1 / gradient_step):
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loss = (loss - (1 / gradient_step)) * 10
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_loss_step += loss.item()
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scaler.scale(loss).backward()
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