for i, t in enumerate(timesteps): # expand the latents if we are doing classifier free guidance latent_model_input = torch.cat([latents] * 2) if do_classifier_free_guidance else latents latent_model_input = self.scheduler.scale_model_input(latent_model_input, t) # predict the noise ...
{input_type}") for idx, output in enumerate(range(len(sess_output))): output_name = sess_output[output].name output_shape = sess_output[output].shape output_type = sess_output[output].type print(f" {idx} Output name : {output_name}, Output shape : {output_shape}, \ Output type ...
Inference:基于在训练阶段已经使用了大量的视频文本对作为监督,模型的文本端其实已经学习到了关于表情描述的含义,在推理阶段,文本部分基于任务需求定义的label的种数,利用LLM(chatgpt)生成这些label的描述,把这些句子送入text encoder,在用视频端给入的视频逐一与这些代表label的句子进行相似度计算,便能推断出该视频属于...
NSTextLayoutEnumerateLineFragments NSTextLayoutOrientation NSTextStorage NSTextStorage.Notifications NSTextStorageDelegate NSTextStorageDelegate_Extensions NSTextStorageEditActions NSTextStorageEventArgs NSTextTab NSWritingDirectionFormatType ShouldDismiss TransitionCoordinator_UIViewController UIAcceleration UIAccelerometer...
Multi-label image classification Object detection with Faster R-CNN or RetinaNet Object detection with YOLO Instance segmentation Python defget_predictions_from_ONNX(onnx_session, img_data):"""Perform predictions with ONNX runtime :param onnx_session: onnx model session :type onnx_session: class...
for i, val in enumerate(sorted_values): str_val = " " + str(val) # add a space before if val < 1.0: str_val = " {0:.2f}".format(val) t = plt.text(val, i, str_val, color=plot_color, va='center', fontweight='bold') ...
def run_epoch(model, train_loader, optimizer, center, args): total_loss, total_num = 0.0, 0 for batch_idx, ((img1, img2), _) in enumerate(train_loader):#, desc='Train...'): if args.gpu is not None: img1 = img1.cuda(args.gpu, non_blocking=True) img2 = img2.cuda(args...
IConfiguration— Interface, package flashx.textLayout.elements Read-only interface to a configuration object. iconPlacement— Style, class spark.components.supportClasses.ButtonBarBase Orientation of the icon in relation to the label. iconPlacement— Style, class spark.components.supportClasses.ButtonBase...
σi label 2-cells, and τij labels the 1-cell between two 2-cells σi and σj. The red dot labeled by λ is a 0-cell. Full size image In this example, we consider a particular 2-block assembly [ψ] in \({E}_{2,1}^{2}\): on each 2-cell, we decorate an SPT state ...
dict(type='Normalize', **img_norm_cfg), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ] val_pipeline = [