TCN | reference implementation of the TCN Protocol | Encryption library

Suppose I have this query:

I'm working on a TensorFlow model to be deployed on an embedded system. For this purpose, I need to quantize the model to int8. The model is composed of three distinct models:

1. CNN as a feature extractor
2. TCN for temporal prediction
3. FC/Dense as last classfier.

I implemented the TCN starting from this post with some modifications. In essence, the TCN is just a set of 1D convolutions (with some 0-padding) plus an add operation.

The error: TF Lite converter throws an untraced function warning when trying to convert a temporal CNN (built using the widely used Keras TCN library: https://github.com/philipperemy/keras-tcn ), and throws in model parsing error when trying to do post-training quantization

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
• TensorFlow installation (pip package or built from source): Pip (python 3.8.8)
• TensorFlow library (version, if pip package or github SHA, if built from source): 2.3.0 (TF Base), 2.4.0 (TF-GPU)

Part 1, converting pretrained TF model to TF Lite Model:

I have a Blazor project that uses Entity Framework and Binds to DataTable.js using JavaScript InterOp.

The project works well but in cases where records loaded from my table are bulky i experience delay and my app crashes at some point.

I have a list of numbers that indicate the position, called tcn, here's part of my code (Python):

The TCM_SETCURSEL message select a new tab in the control and returns the index of the previously selected one. Can I get the index of the previously selected tab index after a new one is set? for example, use jump from tab 3 (current) to 4 (new selected tab index), which fires TCN_SELCHANGE but can I get the previous index, i.e., 3, somehow using WINAPI?

I'm trying to use keras-tcn: https://github.com/philipperemy/keras-tcn

But it seems that there is some conflict. Installing it is downgrading keras from 2.4.3 to 2.3.1. But keras 2.3.1 seems to need tensorflow 2.1.0.

Yet by trying to install tensorflow: pip install tensorflow == 2.1.0, I do have this error message:

ERROR: Could not find a version that satisfies the requirement tensorflow==2.1.0 (from versions: 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.2.1, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0, 2.3.1, 2.4.0rc0, 2.4.0rc1, 2.4.0rc2, 2.4.0rc3) ERROR: No matching distribution found for tensorflow==2.1.0

Does anyone have some solutions for installing it ?

Here are some infos that might be useful

pip : 20.2.4

python : 3.8.5

I have a list called list1 containing 5 dataframes. I want to pass these dataframes concurrently to a function which would compute some mathematical calculations. I'm struggling with the code below-

Why doesn't this work? I only gives me the rows with the date 2020-06-08.