magritte | Ceci n'est pas une pomme - Deep Learning on mobile device | Mobile library
kandi X-RAY | magritte Summary
kandi X-RAY | magritte Summary
Embed deep learning on your mobile device.
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Top functions reviewed by kandi - BETA
- Retrieve random bottlenecks
- Get or create a bottleneck
- Returns the full path to the image
- Create bottleneck file
- Rewrite the output graph
- Return the node name from the input
- Returns the final node renames
- Ensures that the tensor has a port
- Return the number of operations in a file
- Load a tensorflow graph from a file
- Read a tensor from an image file
- Save the graph to a file
- Loads labels from file
- Prepare the file system
- Load a tf graph
- Determine if the image should be distort
- Compute the evaluation step
- Create a TensorFlow graph
- Adds input_distortions
- Adds JPEG decoding
- Download and extract data from URL
- Cache bottleneck images
- Generate bottleneck_truths
- Evaluate a graph
- Adds the final training tensor
- Create model info
- Creates a list of image lists
magritte Key Features
magritte Examples and Code Snippets
Community Discussions
Trending Discussions on magritte
QUESTION
I'm working on exporting data from Foundry datasets in parquet format using various Magritte export tasks to an ABFS system (but the same issue occurs with SFTP, S3, HDFS, and other file based exports).
The datasets I'm exporting are relatively small, under 512 MB in size, which means they don't really need to be split across multiple parquet files, and putting all the data in one file is enough. I've done this by ending the previous transform with a .coalesce(1) to get all of the data in a single file.
The issues are:
- By default the file name is
part-0000-.snappy.parquet, with a different rid on every build. This means that, whenever a new file is uploaded, it appears in the same folder as an additional file, the only way to tell which is the newest version is by last modified date. - Every version of the data is stored in my external system, this takes up unnecessary storage unless I frequently go in and delete old files.
All of this is unnecessary complexity being added to my downstream system, I just want to be able to pull the latest version of data in a single step.
...ANSWER
Answered 2022-Jan-13 at 15:27This is possible by renaming the single parquet file in the dataset so that it always has the same file name, that way the export task will overwrite the previous file in the external system.
This can be done using raw file system access. The write_single_named_parquet_file function below validates its inputs, creates a file with a given name in the output dataset, then copies the file in the input dataset to it. The result is a schemaless output dataset that contains a single named parquet file.
Notes
- The build will fail if the input contains more than one parquet file, as pointed out in the question, calling
.coalesce(1)(or.repartition(1)) is necessary in the upstream transform - If you require transaction history in your external store, or your dataset is much larger than 512 MB this method is not appropriate, as only the latest version is kept, and you likely want multiple parquet files for use in your downstream system. The
createTransactionFolders(put each new export in a different folder) andflagFile(create a flag file once all files have been written) options can be useful in this case. - The transform does not require any spark executors, so it is possible to use
@configure()to give it a driver only profile. Giving the driver additional memory should fix out of memory errors when working with larger datasets. shutil.copyfileobjis used because the 'files' that are opened are actually just file objects.
Full code snippet
example_transform.py
QUESTION
We're setting up a rest integration via magritte-rest-v2.
The documentation covers auth and making rest calls, but there is nowhere will a full example config and I can't seem to get it to work.
Anyone have a working config they can share for reference? My usecase is very simple: token auth, and paginated list of returned objects.
...ANSWER
Answered 2021-Dec-10 at 10:44I don't have an example with pagination at hand, but here's one without. I'll edit this answer once I find one.
QUESTION
I am trying to bring in JIRA data into Foundry using an external API. When it comes in via Magritte, the data gets stored in AVRO and there is a column called response. The response column has data that looks like this...
...ANSWER
Answered 2021-Aug-31 at 13:08Parsing Json in a string column to a struct column (and then into separate columns) can be easily done using the F.from_json function.
In your case, you need to do:
QUESTION
Question relates to using "for" loops in R package and handling error message"undefined columns.
Sample date frame consists of 4 rows and 10 columns. Libraries used magritter and dplyr.
...ANSWER
Answered 2022-Jan-09 at 05:01Loops are rarely the optimal solution to such data transformation problems, as vectorized alternatives exist that are both faster and likely easier to read. As for the error you encountered - c("date", 1) evaluates to a vector of length 2. That is, R tries to evaluate raw.data[, c("date", "1")], while raw.data[, c("date", paste0("v_", i))] might be what you intended to do. Here is dplyr alternative without the for-loop:
QUESTION
If I have a Magritte ingestion that is set to append, will it detect if rows that are deleted in the source data? Will it also delete the rows in the ingested dataset?
...ANSWER
Answered 2020-Nov-05 at 19:57If this is a file-based ingetsion (as opposed to JDBC) magritte ingestion operates on files not on rows. If your transaction type for the ingestion is set to UPDATE, and you make changes to the file, including deleting rows, then when the ingestion runs the new file will completely replace the existing file in that dataset, so any changes made in the file will be reflected in the dataset.
Two additional notes:
- If you have the exclude files already synced filter, you will probably want to have last modified date and/or file size options enabled or the modified file won't be ingested.
- If your transaction type is set to APPEND and not UPDATE then the ingestion will fail because APPEND doesn't allow changes to existing files.
QUESTION
Is there a public SDK to create Plugins for Foundry Magritte / Data Connection Agents for special Data Sources?
...ANSWER
Answered 2020-Nov-06 at 12:37Unfortunately at the time of writing this answer Nov/2020 the answer is No. Please reach out to your internal support team and they may be able to help it.
If a public SDK for Magritte becomes available, I'll come back and edit this question for clarity.
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Install magritte
You can use magritte like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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