AssertionError: Initialize dataset with 'reduce_zero_label`'as False but when load annotation the ‘reduce_zero_label’ is True 原因分析: 我这里是因为用的新版本,然后偷懒没有定义自己数据类型,在config中直接使用的basesegdataset基类,这就导致数据读入时会首先通过这个基类来获得reduce_zero_label的参数,然...
Checkbox(label="是否开启梯度检查点节省显存占用", value=False, interactive=True if version == "v3" else False, show_label=True) # 只有V3s2可以用 1019 1022 with gr.Row(): 1020 1023 gpu_numbers1Ba = gr.Textbox(label=i18n("GPU卡号以-分割,每个卡号一个进程"), value="%s" % (gpus)...
I've set the top and bottom margins to zero, but if I try and print, either in the printer or in a pdf file, it adds large margins and make the content overflow on a new page. I'd like to remove or reduce those printing margins, so that the output remains identical to how i...
Label Names instance __name__ job pod name cluster image namespace uid status_code method container address container_id name cidr pod_ip node_id Label Values: false 200 GET kube-system/cadvisor kube-system/kubelet kube-state-metrics/kube-state-metrics node-exporter/node-exporter node-exporter...
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We are pleased to announce that Microsoft will launch a new suite of advanced endpoint management solutions in March 2023 together in one, cost-effective plan. This new plan will help you go further ...
For a step to be considered complete, the main function must exit with a zero exit code and all Hadoop jobs started while the step was running must have completed and run successfully. You can only add steps to a cluster that is in one of the following states: STA...
The intercept is set at zero, as an event with no posts would not be expected to produce subsequent posts. We then use the posterior distribution from this model to estimate subsequent engagement as a function of engagement during our simulated events with intervention. This is summed across ...
def build_loss(self, ohem=False): # classification loss rpn_cls_score = tf.reshape(self.get_output('rpn_cls_score_reshape'), [-1, 2]) # shape (HxWxA, 2) rpn_label = tf.reshape(self.get_output('rpn-data')[0], [-1]) # shape (HxWxA) # ignore_label(-1) fg_keep = tf....
(embeddings_anchor,embeddings_positive,transpose_a=False,transpose_b=True)# Reshape [batch_size] label tensor to a [batch_size, 1] label tensor.lshape=array_ops.shape(labels)assertlshape.shape==1labels=array_ops.reshape(labels,[lshape[0],1])labels_remapped=math_ops.to_float(math_ops....