DataBloom

When performing custom batch training in the training loop,
which one should be used?

tf.gradient_tape or train_on_batch?

What is the difference?

I got this error/warning while trying to run the webcam_demo.py
example in Posenet library from Tensorflow. how to resolve
this?

​

This is the Git Repo from where I forked this
code : posenet-python

​

and This is my Output Screen :

​

>>>

RESTART: A:PythonScriptsPosenet-Forked —
OGCodeposenet-python-masterwebcam_demo.py

Cannot find model file ./_modelsmodel-mobilenet_v1_101.pb,
converting from tfjs…

WARNING:tensorflow:From
A:Pythonlibsite-packagestensorflowpythontoolsfreeze_graph.py:127:
checkpoint_exists (from
tensorflow.python.training.checkpoint_management) is deprecated and
will be removed in a future version.

Instructions for updating:

Use standard file APIs to check for files with this prefix.

Traceback (most recent call last):

File “A:PythonScriptsPosenet-Forked —
OGCodeposenet-python-masterwebcam_demo.py”, line 66, in
<module>

main()

File “A:PythonScriptsPosenet-Forked —
OGCodeposenet-python-masterwebcam_demo.py”, line 20, in main

model_cfg, model_outputs = posenet.load_model(args.model,
sess)

File “A:PythonScriptsPosenet-Forked —
OGCodeposenet-python-masterposenetmodel.py“, line 42, in load_model

convert(model_ord, model_dir, check=False)

File “A:PythonScriptsPosenet-Forked —
OGCodeposenet-python-masterposenetconvertertfjs2python.py“, line 198, in
convert

initializer_nodes=””)

File
“A:Pythonlibsite-packagestensorflowpythontoolsfreeze_graph.py”,
line 361, in freeze_graph

checkpoint_version=checkpoint_version)

File
“A:Pythonlibsite-packagestensorflowpythontoolsfreeze_graph.py”,
line 190, in freeze_graph_with_def_protos

var_list=var_list, write_version=checkpoint_version)

File
“A:Pythonlibsite-packagestensorflowpythontrainingsaver.py“, line 835, in __init__

self.build()

File
“A:Pythonlibsite-packagestensorflowpythontrainingsaver.py“, line 847, in build

self._build(self._filename, build_save=True,
build_restore=True)

File
“A:Pythonlibsite-packagestensorflowpythontrainingsaver.py“, line 885, in _build

build_restore=build_restore)

File
“A:Pythonlibsite-packagestensorflowpythontrainingsaver.py“, line 489, in _build_internal

names_to_saveables)

File
“A:Pythonlibsite-packagestensorflowpythontrainingsavingsaveable_object_util.py”,
line 362, in validate_and_slice_inputs

for converted_saveable_object in saveable_objects_for_op(op,
name):

File
“A:Pythonlibsite-packagestensorflowpythontrainingsavingsaveable_object_util.py”,
line 223, in saveable_objects_for_op

yield ResourceVariableSaveable(variable, “”, name)

File
“A:Pythonlibsite-packagestensorflowpythontrainingsavingsaveable_object_util.py”,
line 95, in __init__

self.handle_op = var.op.inputs[0]

IndexError: tuple index out of range

>>>

​

My Git
Issue Link

I’m looking for a tensorflow implementation of BLEU score
similar to the nltk implementation. The reason I can’t use nltk is
because I need to calculate bleu score per each TPU replica result.
I cannot append predictions across replicas and then use nltk to
calculate BLEU for the entire corpus as I would prefer. The reason
is described in this stackoverflow post
https://stackoverflow.com/questions/60842868/how-can-i-merge-the-results-from-strategy-in-tensorflow-2

Hello all! I have spent some time working on my chatbot and it’s
working pretty well. I have a json file that stores all my intents,
but I have come across a problem that I don’t know how to solve. I
want to have an “other” tag. This tag should be called whenever the
input doesn’t match any other patterns or tags. The goal of this is
so that if no tags are matched, I have a separate set of
instructions for my program to follow in such cases. Does anyone
have any idea how I can go about this? Is there a certain pattern I
should have or what? Also, another question I have is what if a
certain pattern I have has variables in it, for example, “Play
Clocks by Coldplay”. In the case of “Play {songName} by {artist}” a
constant pattern cannot be used since the user can come up with any
combination of song names and artists. Any help is appreciated.
Thank you in advance!

I am trying to implement a very basic recursive neural network
into my linear regression analysis project in Tensorflow that takes
two inputs passed to it and then a third value of what it
previously calculated. So, my project is trying to calculate
something across the next x number of years, and after the first
year I want it to keep taking the value of the last year.
Currently, my training data has two inputs, not three, predicting
one output, so how could I make it recursive, so it keeps on
passing in the value from the last year, to calculate the next? To
explain slightly further, if it were to calculate across the next 5
years:

1st year:

Input 1: 10

Input 2: 20

(Maybe need input 3, but a value that has no affect on the
linear regression model)

Output: 30

2nd year:

Input 1: 11

Input 2: 22

Input 3: 30 (1st year output)

Output: 35

3rd Year:

Input 1:12

Input 2: 24

Input 3: 35 (2nd year output)

Output: 40