tfr | Command line tool to search for a pattern line | Command Line Interface library
kandi X-RAY | tfr Summary
kandi X-RAY | tfr Summary
Command line tool to search for a pattern line by line and print a replacement line
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of tfr
tfr Key Features
tfr Examples and Code Snippets
def _visit_tfr_builtins(self, op_name, args, node):
arg_strs = []
arg_tys = []
for arg in args:
value, ty = self.visit(arg)
arg_strs.append(value)
arg_tys.append(ty)
tfr_op_name = 'tfr.' + op_name[5:]
ret_tys = (
def tfr_gen(func, op_defs):
"""Parse a function and emit the TFR functions."""
mlir_code, _ = TfrGen(op_defs).transform(func, None)
assert tfr.verify(mlir_code), 'mlir code not verified: {}'.format(mlir_code)
return mlir_code
def __init__(self, ctx, op_defs):
super(TFRGen, self).__init__(ctx)
self.ctx = ctx
self.symbol_table = SymbolTable()
self._op_defs = op_defs
Community Discussions
Trending Discussions on tfr
QUESTION
Here is my code of Reader class and its child class
...ANSWER
Answered 2021-May-01 at 18:46When calling the superclass' constructor, you should also pass self
to it:
QUESTION
I am new to Gekko and I am trying to model a production process. The model is working as expected, but I am failing to understand how to implement an equation that constraints the minimum output of my output variable. My code:
...ANSWER
Answered 2021-Jan-21 at 14:17Use the integral function to get the total filtration volume.
QUESTION
I have a CarouselView
. The ItemsSource is binded to an ObservableCollection
of type AlarmEvent
. AlarmEvent
is a base class for different types of alarm events (Generic, Fr, Vfr, Anpr). The ItemTemplate changes depending on the type of CurrentItem. This works.
Xaml:
...ANSWER
Answered 2020-Oct-20 at 17:38I am a silly bum for not realising this sooner, the fix was:
Instead of auto property like so -
QUESTION
I hope someone can help
I am currently trying to split a 16ch Dante audio feed from a separate machine into 4 different audio streams that I can use to then TX via RTMP to Wowza for MPEG-DASH encoding, at present i am just trying to split them into files, I will add the RTMP streaming later.
The biggest issue I am encountering at current is that FFMPEG is returning me this error from my input string
...ANSWER
Answered 2019-Dec-30 at 19:53ffmpeg -f dshow -channels 16 -i audio="Dante Via Receive (Dante Via)" -filter_complex "[0:a]channelmap=0|1|2|3[1-4];[0:a]channelmap=4|5|6|7[5-8];[0:a]channelmap=8|9|10|11[9-12];[0:a]channelmap=12|13|14|15[13-16]" -map "[1-4]" 1-4.wav -map "[5-8]" 5-8.wav -map "[9-12]" 9-12.wav -map "[13-16]" 13-16.wav
QUESTION
i create the table and search option code get form https://www.w3schools.com/ my table one extra row taken for table data more clearance
...ANSWER
Answered 2019-Dec-04 at 14:36Please put this code.
QUESTION
i have the following json file format:
...ANSWER
Answered 2019-Oct-31 at 12:25You could change
QUESTION
I am not able to get the scores as output in a file for each row from the scoring function.
I am using a scoring function to rank my documents in recommendation engine with Python in Jupyter notebook. I am using below code to evaluate on my test data -
...ANSWER
Answered 2019-Oct-23 at 14:51Not sure you're still looking for an answer here, but you can now find an example on how to generate predictions for testing here: https://github.com/tensorflow/ranking/blob/master/tensorflow_ranking/examples/handling_sparse_features.ipynb
It's at the very end of the notebook, under 'Generating Predictions'
QUESTION
i have constructed a matrix from a table of EEG signals and derived a array from the matrix. the array is of shape(4097*100) but when i am passing this array in array stockwell transform funtion, I get an error as: Tuple index out of range
...ANSWER
Answered 2019-Sep-12 at 13:14Looks like it's expecting (epochs, channels, time) respectively in a 3D array (you are providing a 2D array). Although the docstring says:
The signal to transform. Any dimensionality supported as long as the last dimension is time.
... the code seems to say otherwise.
I don't know enough about EEG data to say anything else, but maybe this gives you a clue to what's going on. If not, I would try doing:
QUESTION
So I have a small set of data, TFR.csv
taking the form:
ANSWER
Answered 2019-Aug-28 at 06:57Use pandas.DataFrame.set_index
and idxmin
:
QUESTION
I'm building a ranking model with tensorflow-ranking. I'm trying to serialize a data set in the TFRecord format and read it back at training time.
The tutorial doesn't show how to do this. There is some documentation here on an example-in-example data format but it's hard for me to understand: I'm not sure what the serialized_context
or serialized_examples
fields are or how they fit into examples and I'm not sure what the Serialize()
function in the code block is.
Concretely, how can I write and read data in example-in-example format?
...ANSWER
Answered 2019-Aug-13 at 18:51The context is a map from feature name to tf.train.Feature
. The examples list is a list of maps from feature name to tf.train.Feature
. Once you have these, the following code will create an "example-in-example":
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tfr
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page