2016年5月8日 · This is what allows TensorFlow to support operations like tf.unique() and tf.dynamic_partition(), which can have variable-sized outputs, and are used in advanced applications. Finally, the tf.shape() op can be used to get the dynamic shape of a tensor and use it in a TensorFlow computation:

2023年12月13日 · I am trying to add a Reshape node to a BERT onnx model that works with dynamic shapes. The reshape op should reshape a rank 3 tensor to a rank 2. The input to the reshape is of shape [unk__2,unk__3,768] and I need to collapse the first two dynamic dimensions into one and keep the last fixed dimension such as [[unk__2 * unk__3], 768].

2021年3月5日 · I need to create a dynamic triangle, such that a user is able to grab either a vertex or side and move it. The angle should get updated in real-time. Unfortunately, I have no clue how one can do that. I started out by simply drawing the triangle using the following code.

2023年3月27日 · Evertything works fine if I try to predict the label for just 1 image. The problem arises when I try to make a prediction for a batch of images (more than 1 image) because for some reason ONNX is complaining that the output shape is not the one expected, even though I specified that the output's first axis (the batch size) should be dynamic.

2013年12月9日 · What I am trying to achieve is an application which draws a map and the shapes on it are the entities with the dynamic borders over the map (for instance say political borders). The polygons also have to be clickable controls with collision test (not just a bounding box, but exactly by the shape of the entity on the map).

2023年8月25日 · Check your model for anything that defines a dimension of a tensor that is interpreted as a python integer during export. Setting dynamic axes will try to use variable shapes for the corresponding tensors, but will be overridden by explicit constant ones.

2015年9月30日 · There are two cases for shapes updating, one type of shape will be updated over a long period of time, as a slow rate like once every few seconds. The other is shapes that will will get updated many times, like thousands, in a few seconds, then not change again for a long time, if ever. I had two ideas for how to fix this.

2020年6月6日 · Using dynamic input shape in keras. Ask Question Asked 4 years, 9 months ago. Modified 4 years, 9 months ago.

2019年4月16日 · Yes, you can use dynamic tensors in TF-Lite. The reason why you can't directly set the shape to [None, 128, None, 1] is because this way, you can easily support more languages in the future. Furthermore, it makes the best use of static memory allocation scheme.

2023年3月24日 · How do I write the trtexec command to compile an engine to receive input from dynamic shapes? When the onnx model was compiled into the tensorrt engine using the trtexec command, it automatically became an overriding shape in the 1x1 shape. If the input shape is not fixed, a shape such as -1 is usually specified.