qt2 | single line structured light based 3 d

I need to check if the numbers in $qt1, $qt2 and $qt3 are negative and if any of them are negative not run the rest of the code, if they are 0 or positive then run the rest of the code. I need to write more stuff so I can post the question so sorry if I am making you read this for nothing, but I just need what I had asked for, I searched online and couldn´t find anything to help me. My level of codding is really basic so please try and not make something super complex. And thank you for anyone how is willing to help.

I am trying to utilize Querydsl to fetch some results from a table. So far, this is what I have tried -

Assume there are 5 entities named T1..T5. And I am trying to do this SQL query in Querydsl -

I am having nn Actor Critic TD3 model with LSTM in my AI. For every training, I am creating batches of sequential data and training my AI.

Can someone expert please help to let know if I require epochs as well for this AI.And in general how many epochs can I run with this code, because I am creating many batches on one training step is it feasible to have epochs as well.

Below is training step code

I am trying to do batch processing with nn.lstm

From the documentation https://pytorch.org/docs/master/generated/torch.nn.LSTM.html I get that h0 and c0 should be of dimension:(num_layers * num_directions, batch, hidden_size).

But when I am trying to give input tensor with batch size>1 and h0 , c0 batch size>1. It is giving me error stating: "RuntimeError: Expected hidden[0] size (1, 1, 256), got (1, 611, 256)"

Here is my code: it contains 1 memory buffer, Actor, Critic, TD3, ENV classes and main training is in TD3 which has actor and critic objects.

Can someone please help a check what am i missing here.

I have created a custom environment in open ai gym and i am facing error while loading the weights Could some one help me to resolve the issue . I am training a TD3 network in a custom environment and i have trained successfully but while inferencing i am facing this issue

I am trying to add an lstm layer to my previous working AI model. On adding the model I am getting this error when training the batch to my AI.

earlier without the LSTM the error was not there and it worked fine.

Input batch size 100 doesn't match hidden[0] batch size 1.

I am using nn.LSTMCell

can anyone please help a check if I am missing some parameter to init my lstmcell so it can take batch inputs as well.

below is my code...

I have two data frames. One of it has codes (1 or -1) for different IDs.

I am at a loss as to why a query that runs in 10-11 seconds directly is causing Excel to stop responding. Even the more filtered version of this query which has only 193 Rows x 26 Columns cause the same issue.

References enabled in order:

1. VB for Applications
2. MS Excel 16.0 Object Library
3. OLE Automation
4. MS Office 16.0 Object Library
5. MS ActiveX Data Objects 6.1 Library
6. MS Forms 2.0 Object Library
7. MS ActiveX Data Objects Recordset 2.8 Library (also tried 6.0 just in case)

I am trying to create a querytable for the record set to dump the data into:

I have a text area of words. There is a jQuery function that will loop over an array to search for each work within the text, if it find it puts it in an array, then displays it. This works well. The text area is editable allowing a user to modify the text and then search again (Allowing for correcting spelling or context). After modifying the text and doing the function again it only finds a substring of the string, not the full thing, see below:

Text to search: I live on the Q53 Route. I want to see the Q3 route near my house.

If you added Q44 at the end after the period it will only find Q4..