From 1465dab71564bb30091479ceabae6c69e3426bc6 Mon Sep 17 00:00:00 2001 From: Aarni Koskela Date: Sat, 30 Dec 2023 19:44:05 +0200 Subject: Make Tensorboard a late import (it was implicitly installed by basicsr) --- modules/textual_inversion/textual_inversion.py | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) (limited to 'modules/textual_inversion/textual_inversion.py') diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index 04dda585..c6bcab15 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -11,7 +11,6 @@ import safetensors.torch import numpy as np from PIL import Image, PngImagePlugin -from torch.utils.tensorboard import SummaryWriter from modules import shared, devices, sd_hijack, sd_models, images, sd_samplers, sd_hijack_checkpoint, errors, hashes import modules.textual_inversion.dataset @@ -344,6 +343,7 @@ def write_loss(log_directory, filename, step, epoch_len, values): }) def tensorboard_setup(log_directory): + from torch.utils.tensorboard import SummaryWriter os.makedirs(os.path.join(log_directory, "tensorboard"), exist_ok=True) return SummaryWriter( log_dir=os.path.join(log_directory, "tensorboard"), @@ -448,8 +448,12 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..." old_parallel_processing_allowed = shared.parallel_processing_allowed + tensorboard_writer = None if shared.opts.training_enable_tensorboard: - tensorboard_writer = tensorboard_setup(log_directory) + try: + tensorboard_writer = tensorboard_setup(log_directory) + except ImportError: + errors.report("Error initializing tensorboard", exc_info=True) pin_memory = shared.opts.pin_memory @@ -622,7 +626,7 @@ def train_embedding(id_task, embedding_name, learn_rate, batch_size, gradient_st last_saved_image, last_text_info = images.save_image(image, images_dir, "", p.seed, p.prompt, shared.opts.samples_format, processed.infotexts[0], p=p, forced_filename=forced_filename, save_to_dirs=False) last_saved_image += f", prompt: {preview_text}" - if shared.opts.training_enable_tensorboard and shared.opts.training_tensorboard_save_images: + if tensorboard_writer and shared.opts.training_tensorboard_save_images: tensorboard_add_image(tensorboard_writer, f"Validation at epoch {epoch_num}", image, embedding.step) if save_image_with_stored_embedding and os.path.exists(last_saved_file) and embedding_yet_to_be_embedded: -- cgit v1.2.3 From ec124607f47371a6cfd61a795f86a7f1cbd44651 Mon Sep 17 00:00:00 2001 From: wangshuai09 <391746016@qq.com> Date: Sat, 27 Jan 2024 17:21:32 +0800 Subject: Add NPU Support --- modules/textual_inversion/textual_inversion.py | 4 ++++ 1 file changed, 4 insertions(+) (limited to 'modules/textual_inversion/textual_inversion.py') diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index 04dda585..9c062503 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -151,6 +151,10 @@ class EmbeddingDatabase: return embedding def get_expected_shape(self): + # workaround + if devices.npu_specific.has_npu: + import torch + torch.npu.set_device(0) vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1) return vec.shape[1] -- cgit v1.2.3 From cc3f604310458eed7d26456c1b3934d582283ffe Mon Sep 17 00:00:00 2001 From: wangshuai09 <391746016@qq.com> Date: Wed, 31 Jan 2024 10:46:53 +0800 Subject: Update --- modules/textual_inversion/textual_inversion.py | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) (limited to 'modules/textual_inversion/textual_inversion.py') diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py index d16e3b9a..6d815c0b 100644 --- a/modules/textual_inversion/textual_inversion.py +++ b/modules/textual_inversion/textual_inversion.py @@ -150,10 +150,7 @@ class EmbeddingDatabase: return embedding def get_expected_shape(self): - # workaround - if devices.npu_specific.has_npu: - import torch - torch.npu.set_device(0) + devices.torch_npu_set_device() vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1) return vec.shape[1] -- cgit v1.2.3