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Yong Tang yongtang San Francisco Bay Area, CA https://www.linkedin.com/in/yong-tang/ Open source contributor, CoreDNS, Docker, TensorFlow committer.

coredns/coredns 6091

CoreDNS is a DNS server that chains plugins

grpc/grpc-web 4261

gRPC for Web Clients

docker/swarmkit 2386

A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

docker/docker-credential-helpers 510

Programs to keep Docker login credentials safe by storing in platform keystores

tensorflow/io 325

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

docker/go-connections 133

Utility package to work with network connections

docker/go-units 105

Parse and print size and time units in human-readable format

yongtang/clamav.js 21

A node.js library for ClamAV

yongtang/hadoop-xz 11

XZ (LZMA/LZMA2) Codec for Apache Hadoop

yongtang/clamav4j 5

Java library for ClamAV

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Yong Tang

commit sha f14cb37a603952b28680ceed79ffda08a1d3bf40

Add simple function Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 4aa85502446b548a07cb23dd76fcd1c7b3ec7859

LLVM Build Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 6e16c94aa9c69288005b97077e2f65b0f4f1c00e

Work in Progress Attr Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha a01f280c910590feeba96d21f8f79c553446fd76

ModuleOp pass try Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Milan Straka

commit sha 5f1ee72e97e09da9171b2c226d4f10f05e89a38a

Fix label_smoothing in multidimensional CategoricalCrossentropy. When label smoothing in CategoricalCrossentropy is non-zero, it takes tf.shape(y_true)[1] as the number of classes. However, if the true values and predictions are multidimensional (for example when training a POS tagger where batch elements are sentences composed of words), a wrong value is taken and the training does not work. This fix takes the _last_ dimension as the one containing classes.

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“jaketae”

commit sha aa070f5be6bfc55c25802540da149138696f965f

Minor refactoring of conditionals

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“jaketae”

commit sha f673a86e1c94944957487c41253ff19b50175a07

Fixed whitespace

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“jaketae”

commit sha db1e40b9c5ad3c6acc36b0d33e08058787b11725

Edited docstrings, added unit test, and fixed minor typos

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“jaketae”

commit sha 349e30095e5ba7fbe274de782c8288b545720bd8

Resolve key error and add missing docs

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Jake Tae

commit sha c0fd3b5f0b215ac9fe8207a387849e3607f683bf

Merge branch 'master' into refactor-imageutils

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Lukas Geiger

commit sha 84d354f945a85368b1dcece6c203fc5538ff2fab

Remove expired forward compatibility horizons

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Nathan Luehr

commit sha 28feb4df0d4ab386946bdee1a0e5c36cc58246cf

Enable build with CUDA 11

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Nathan Luehr

commit sha fb68e31b3e240b7b165ec71aac9f57338c34a0c3

Basic CUDNN8 support

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Yong Tang

commit sha 583b37ffc350ebc01312ccccc32895f0f9d1725e

Allow single element padding_values to be broadcasted to a structure for tf.data.Dataset.padded_batch This PR is a follow up based on comment in 35900. In 35900, the issue was raised where if padding_values is a single elment and the dataset has a structured shape, then tf.data.Dataset.padded_batch will return and error. This PR adds the support to "broadcast" padding_values to match the same structure as the dataset, which could be convenient in many cases (avoid repeat the padding_values into the stucture manually). Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 0c4b0a2462a754a50d6b8fc4f95039e1dd36c294

Add test case for "broadcast" padding_values to the same structure as dataset Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha ed337b776f7049087eeee8915cc55fa003946d43

Update docstring and added a doc example for "broadcasting" single padding_values to dataset Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Abhineet Choudhary

commit sha 488533ca3ccd762907999f4436d21c4bee530bdd

add test for batches

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Nathan Luehr

commit sha f1fe60fea6a0aaf2424fbd875d0bf775f5a655d1

Use _v7 cudnnGetConvolution.*Algorithm APIs

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Nathan Luehr

commit sha 8a5db25ae76474012283bdea1e8b844042869a3d

Filter out WINOGRAD_NONFUSED cudnn Get v7 results

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Nathan Luehr

commit sha e927048acebc79d564ac4aeb932c9c83e7a0bfb6

Formatting fix

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Lukas Geiger

commit sha cdeac44eac3967570d61cbee335373040a455f6d

Revert "Keras grouped convolutions rollback" This reverts commit dd2ea875d92eeb83e81b1cb92e29e61d488e98b2.

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Lukas Geiger

commit sha 215161ff7a7cd136feac27686561bcedbdaef493

Disable 3d group conv test on XLA:GPU

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Abhineet Choudhary

commit sha 86db9c0581616666df559ce10afa13d40fca7693

execute eagerly

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Lukas Geiger

commit sha 4c90f20c0d371c0fe4db6f045ceb2eda147f56d6

Replace list concatenation with generators for auto control deps

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pull request commentcoredns/coredns

Add timeouts for http server

The connection timeout value that are used, are too much tied to the underlying networking infrastructure (unless the traffic is point to point through the internet directly). In many cases, traffic need to go through different layers of load balancers, firewalls, applications security devices, and sometimes self-configured routers/switches (in internal or vpn). Hardcoded values could lead to many hard-to-trouble-shoot issues.

If timeout is needed then the value ideally should be adjustable.

milgradesec

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pull request commenttensorflow/tensorflow

Update Eigen to 8719b9c5bc1a97e62d675c02495ed72dda6fae73 to fix compiling error

@mihaimaruseac The test failures are related to Bazel 's inability to download gitlab directly. In the past that was resolved through TensorFlow's own bazel mirror ( https://storage.googleapis.com/mirror.tensorflow.org ).

I don't have access to add items to this mirror. Wondering if you could help placing the eigen archive file into the mirror?

yongtang

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Yong Tang

commit sha a05a387372164a5c9f2d8280b06ab6ce73aed04c

Add foo dialect Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 0a7881c14c122f10b9df559a727773cccf4f6387

Add python runtime with JIT Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha e589f6726a0895c5dac35a7fe978b41e8416996d

Add python runtime with JIT Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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issue commenttensorflow/io

encode_mp3 squashes audio in a bad way

@avnx Wondering if you can share a sample mp3 file that reproduces the issue? I can take a look.

avnx

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issue commentChanakya-Ekbote/coredns_ml_plugin

Using Prometheus in the plugin

@Chanakya-Ekbote This could be useful.

One thing that is quite unique about DNS, is that often DNS data logs becomes useful it is combined with time-series. However, DNS's time-series is often a per-IP or per-domain time-series. That means a per-IP or per-domain time-series database is needed. This might be less explored field but could be really useful for DNS.

Chanakya-Ekbote

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issue closedtensorflow/io

Drop pylint check?

There were some discussions about dropping pylint before https://github.com/tensorflow/io/issues/810#issuecomment-600079829

Several big issues for pylint:

  1. Slow: pylint runs check 1-2 second/file while black and pyupgrade runs very fast.
  2. No auto-lint: It has to be adjusted manually. In some situations, you have to be really creative to make pylint happy.

Positive side:

  • tensorflow core repo stays with pylint so it helps us to align with the community. Though we change the max-width to 88 (not 80), and use 4 spaces (not 2) already so our pylint script is not exactly from tensorflow's core repo already.

On a side node, to submit a PR to tensorflow core repo and make pylint happy is not very easy nowadays. This actually caused quite a few unnecessary commits in tensorflow' core repo.

We might consider dropping pylint if agree? @terrytangyuan @BryanCutler @vlasenkoalexey @dmitrievanthony

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yongtang

issue commenttensorflow/io

Drop pylint check?

The issue can be closed now as PR #985 has been merged.

yongtang

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push eventtensorflow/io

Yong Tang

commit sha 215edac015c97a1c5e6d411a80d9424e2bcfc526

Fix Docker file build failure (#988) This PR tries to fix issue raised in 987. The issue seems to be related to Ubuntu 16.04 have a gcc 5.4 that is old and does not plays well with std=c++14. This PR adjust arrow's flag to std=c++11 to allow gcc 5.4 working again. As python 3.5 will EOL in 09/13/2020, we might consider dropping Ubuntu 16.04 support (and issues related to gcc 5.4 + python 3.5) sometime this year. This PR fixes 987. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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PR merged tensorflow/io

Fix Docker file build failure

This PR tries to fix issue raised in #987.

The issue seems to be related to Ubuntu 16.04 have a gcc 5.4 that is old and does not plays well with std=c++14. This PR adjust arrow's flag to std=c++11 to allow gcc 5.4 working again.

As python 3.5 will EOL in 09/13/2020, we might consider dropping Ubuntu 16.04 support (and issues related to gcc 5.4 + python 3.5) sometime this year.

This PR fixes #987.

Signed-off-by: Yong Tang yong.tang.github@outlook.com

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yongtang

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issue closedtensorflow/io

Docker building error

👋 I am following the instructions in README to build and run tests in a container, however during the build process (master branch) I am getting :

Use --sandbox_debug to see verbose messages from the sandbox
In file included from external/arrow/cpp/src/arrow/vendored/datetime.h:20:0,
                 from external/arrow/cpp/src/arrow/util/parsing.h:34,
                 from external/arrow/cpp/src/arrow/ipc/json_simple.cc:33:
external/arrow/cpp/src/arrow/vendored/datetime/date.h: In function 'constexpr std::chrono::hours arrow_vendored::date::make12(std::chrono::hours)':
external/arrow/cpp/src/arrow/vendored/datetime/date.h:3936:15: error: call to non-constexpr function 'std::chrono::duration<_Rep, _Period>& std::chrono::duration<_Rep, _Period>::operator-=(const std::chrono::duration<_Rep, _Period>&) [with _Rep = long int; _Period = std::ratio<3600l>]'
             h -= hours{12};
               ^
external/arrow/cpp/src/arrow/vendored/datetime/date.h: In function 'constexpr std::chrono::hours arrow_vendored::date::make24(std::chrono::hours, bool)':
external/arrow/cpp/src/arrow/vendored/datetime/date.h:3950:15: error: call to non-constexpr function 'std::chrono::duration<_Rep, _Period>& std::chrono::duration<_Rep, _Period>::operator+=(const std::chrono::duration<_Rep, _Period>&) [with _Rep = long int; _Period = std::ratio<3600l>]'
             h += hours{12};

the command I am running to build is as mentioned in the docs

bazel build -c opt --copt=-march=native --copt=-fPIC -s --verbose_failures //tensorflow_io/...
```

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dav009

issue commenttensorflow/io

Docker building error

@dav009 @BryanCutler I think the issue is Ubuntu 16.04's gcc (5.4.0) is getting old and does not works well with std=c++14 in arrow dependency. Since arrow is a dependency, it could be lowered to std=c++11.

Added a PR #988 for the fix.

dav009

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PR opened tensorflow/io

Fix Docker file build failure

This PR tries to fix issue raised in #987.

The issue seems to be related to Ubuntu 16.04 have a gcc 5.4 that is old and does not plays well with std=c++14. This PR adjust arrow's flag to std=c++11 to allow gcc 5.4 working again.

As python 3.5 will EOL in 09/13/2020, we might consider dropping Ubuntu 16.04 support (and issues related to gcc 5.4 + python 3.5) sometime this year.

This PR fixes #987.

Signed-off-by: Yong Tang yong.tang.github@outlook.com

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Yong Tang

commit sha 6800db5ff29591757abcd391f08acb69c9c2e5b9

Fix Docker file build failure This PR tries to fix issue raised in 987. The issue seems to be related to Ubuntu 16.04 have a gcc 5.4 that is old and does not plays well with std=c++14. This PR adjust arrow's flag to std=c++11 to allow gcc 5.4 working again. As python 3.5 will EOL in 09/13/2020, we might consider dropping Ubuntu 16.04 support (and issues related to gcc 5.4 + python 3.5) sometime this year. This PR fixes 987. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Christian Sigg

commit sha 0e90836047af6ecd4a098a5f095a7ab2891e2c2a

Store nvcc command line options in a file on Windows to prevent command lines that are too long. PiperOrigin-RevId: 313629844 Change-Id: I504fc38b802e642f05579051752116a724a17a22

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Tomer Kaftan

commit sha f7b9cc702ac5e45f6dc64e6a3be39cec736fa0b7

Rollback of a commit that changed the generated graphdef node name when slicing via `tensor[slice]`, because too many things are dependent on it PiperOrigin-RevId: 313622141 Change-Id: Id78a33158ce6d63a4a4638430b44c0481cf32957

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pull request commenttensorflow/tensorflow

Update Eigen to 8719b9c5bc1a97e62d675c02495ed72dda6fae73 to fix compiling error

The error is caused by https://stackoverflow.com/questions/60864626/cannot-fetch-eigen-with-bazel-406-not-acceptable

I think adding the mirror in https://storage.googleapis.com/mirror.tensorflow.org will solve the issue.

yongtang

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Fausto Morales

commit sha a24a75aee125415b092672b3aae3a49cdcdd5a0d

Pad keras.backend.ctc_decode output to consistent shape.

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Yong Tang

commit sha a744818876ab362ad4112b625f40b2a0dbdafb12

Fix ValueError with tf.keras.metrics.Recall and float64 keras backend This PR fixes the issue raised in 36790 where tf.keras.metrics.Recall causes ValueError when the backend of the keras is float64: This PR cast the value to the dtype of var as var.assign_add is being called. This PR fixes 36790. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 8dadd8304f3f15ecdc4d780c39b371390ab14fb7

Add test case for tf.keras.metrics.Recall() and float64 keras backend. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Srinivasan Narayanamoorthy

commit sha e0153c3c621b4b2ab073144ab10987ca0f7d5c1d

threadpool support for relu, eltwise and softmax.

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Yong Tang

commit sha 91c1b12641744df0eb7c1194e6aff5f21992df6b

Add complex64/complex128 support for tf.math.l2_normalize This PR tries to address the issue raised in 39522 where there was no complex support for tf.math.l2_normalize. This PR adds complex support for tf.math.l2_normalize. This PR fixes 39522. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 88f814346658016a4d820f40f67fbe69b65258cb

Add test case for complex64/complex128 on tf.math.l2_normalize Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha ee7bffc10cf9e8d56e51d8b9ae3212f7e3c27b09

Update update_confusion_matrix_variables to alwasy cast to variables_to_update dtype (vs. explicit float32) This commits updates the function update_confusion_matrix_variables to alwasy cast to dtype based on variables_to_update (previously the values are casted to float32 explicitly and that cuases issues when keras' backend use non-float32). Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Lukas Geiger

commit sha bc99898e990a1f714732ec40a0a924aa0ee2fee5

Prefer generator expressions over list comprehensions

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Fausto Morales

commit sha f1487900c65910510dd38be0135444f9e39b2a93

Format ctc_decode test correctly.

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Alexander Belyaev

commit sha ea8e87c8e945c5424b130d66a4fbf5fca7e5c9cd

[XLA][MLIR] Register BufferAssignmentTestDialect. It was made harder to shoot yourself in the foot when using operations that are not registered with MLIRContext. In order to use test ops in the buffer_assignment_test.mlir we have to register them first. PiperOrigin-RevId: 313576961 Change-Id: Id3c711a2d1776a6fdee272d31d932ec5010cd0c2

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TensorFlower Gardener

commit sha baeada76cfb3219be504032ea1df8fe9e436ed2c

Merge pull request #39887 from lgeiger:use-py-iterators-when-faster PiperOrigin-RevId: 313596826 Change-Id: I3f0776481ae2aa2e558b854376b911d8f9ba172b

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A. Unique TensorFlower

commit sha 290487b03ed7a9fa78af6faa2d8c19f7e5fde30e

Fix for build errors with constexpr TfLiteIntArray. PiperOrigin-RevId: 313599824 Change-Id: Ia37465dd2f782e234839bdfbe991516d9fc06c40

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TensorFlower Gardener

commit sha e05ebb27b575caf6e93d4574182bb99dc5b210b6

Merge pull request #39529 from yongtang:39522-tf.math.l2_normalize-complex PiperOrigin-RevId: 313601545 Change-Id: I3d0bd4e759e23f6ee87ca152bb698f76f1a02772

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A. Unique TensorFlower

commit sha 4594b8cfb5c698ae500841a16ea3893162cf20b0

Fixing null pointer sanitization issue. PiperOrigin-RevId: 313602040 Change-Id: Ieaa064d4983b0a645d4eba9ac7e4580899401c04

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Yanhua Sun

commit sha 2de551ba87cde98325a5d6a3c3b3c7d092af4376

Add a function to dynamic choose and execute the proper implementation based on underlying device placement PiperOrigin-RevId: 313605766 Change-Id: I877b684dcef782b375df0504c0250acd9e808ce9

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TensorFlower Gardener

commit sha eded0b574462c80bb4f0e8a65c2207f305c71630

Merge pull request #39134 from yongtang:36790-tf.metrics.Recall-backend-float64 PiperOrigin-RevId: 313606803 Change-Id: Idbb4244c62fe797815ea40ae1297c0346c65983e

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Tomer Kaftan

commit sha 3883662dafd32c04cfc7a75df98a4e64782508ea

fix dispatching for several keras backend methods. (The convert_to_tensor at the start will lead to a typeerror & trigger dispatching if necessary) PiperOrigin-RevId: 313607546 Change-Id: Ibcc28ce6d4d9f43b625fc204ff5670a48511fcaa

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Anjali Sridhar

commit sha 4a7a16b6aaa183514f61eebe63860f8f918d6cb9

Update doc string to reflect the latest changes to `experimental_distribute_datasets_from_function`. PiperOrigin-RevId: 313608527 Change-Id: I060ec4b8f4e749f687450a323feaec26626b79ff

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Russell Power

commit sha 5c3ac7400a3d65db9be8cbdea98abe33f4bdae2a

Add TF (CPU/GPU) collective ops to the TF dialect. PiperOrigin-RevId: 313611589 Change-Id: Ib6d68d15fb18a351a7ce044889c0be79a3b70470

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Feng Liu

commit sha 61330290aa20eea4be69b99cef4ad84f550344a7

Make quantized_input_stats optional inside the converter This is to avoid using some default protobuf field values inside the converter when the user doesn't specify the quantized_input_stats. PiperOrigin-RevId: 313611828 Change-Id: I2da39069b67aac409fe8290709712572b17a1b6e

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PR opened tensorflow/tensorflow

Update Eigen to 8719b9c5bc1a97e62d675c02495ed72dda6fae73 to fix compiling error

This PR tries to update Eigen to 8719b9c5bc1a97e62d675c02495ed72dda6fae73. The reason to update Eigen is to fix the build error for custom ops (See error below). The issue is that in Eigen there was a bug that uses if defined(EIGEN_ARCH_PPC) incorrectly (should be if EIGEN_ARCH_PPC).

I have created a PR in Eigen https://gitlab.com/libeigen/eigen/-/merge_requests/131 and the PR has already been merged.

This PR is a follow up in tensorflow repo to bump the Eigen to the latest version.

The error before this PR, when building a custom ops:

Execution platform: @local_config_platform//:host

Use --sandbox_debug to see verbose messages from the sandbox
In file included from tensorflow_io/core/kernels/io_optimization.cc:22:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/tensorflow/compiler/mlir/mlir_graph_optimization_pass.h:20:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/tensorflow/core/common_runtime/function_optimization_registry.h:23:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/tensorflow/core/common_runtime/device_set.h:23:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/tensorflow/core/common_runtime/device.h:35:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/tensorflow/core/framework/allocator.h:26:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/tensorflow/core/framework/numeric_types.h:20:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/third_party/eigen3/unsupported/Eigen/CXX11/Tensor:1:
In file included from bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/unsupported/Eigen/CXX11/Tensor:14:
bazel-out/darwin-fastbuild/bin/external/local_config_tf/include/unsupported/Eigen/CXX11/../../../Eigen/Core:334:10: fatal error: 'src/Core/arch/AltiVec/MatrixProduct.h' file not found
         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
1 error generated.
Target //tensorflow_io/core:optimization failed to build
INFO: Elapsed time: 4.778s, Critical Path: 4.54s

Signed-off-by: Yong Tang yong.tang.github@outlook.com

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A. Unique TensorFlower

commit sha f0f84935e31bc7957d7311ceba53ba02271ad9f4

Add quantized TANH operation, mostly copied from LOGISTIC. PiperOrigin-RevId: 313569148 Change-Id: Id7801e9afaa7cb10dc51234cba9bf4d9320a0dc5

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Chao Mei

commit sha 6688e1c23b0f01400a02153408294e37295c5e96

1. Add a new event type for general tflite runtime instrumentation, and allow a Profiler to choose which event type it will record. 2. An initial introduction of InterpreterDetailedStatus to detail the error code that a TFLite interpreter may have during runtime. 3. Apply the above two to instrument the overall invoke latency and status as an initial exemplar usage. PiperOrigin-RevId: 313573701 Change-Id: I8c4189c72066d7d6f4c91014ef4f30e32635c115

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“jaketae”

commit sha 82a6ba4c50b3880dfd98d4a1706d0c7422ad7639

Fix plot_model for PDF

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Måns Nilsson

commit sha 6f042c81d73079d226c10cc21832d4b2e61ca32a

TFLu: remove -fno-builtin compiler flag The flag may cause performance issues, since it disables special handling and optimizations of standard C library functions.

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Teng Lu

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Enabe BF16 SoftmaxGrad(Sum), and fix accuracy by accum type.

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Yong Tang

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Update examples in docstring to use TF 2.x code The examples in docstrings of two APIs, tf.histogram_fixed_width_bins and tf.histogram_fixed_width still used TF 1.x code. This PR updates the docstring to use TF 2.x code in examples. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Kayou

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Update check_cuda_libs.py

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Yong Tang

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Update tf.histogram_fixed_width docstring to comform to Python doctest Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 58a378f9f608c942ffe66ba12cc85f8d8fc3e7a4

Remove `print` in docstring as it causes discrepancy in doctest Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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jacco

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Use datamove in conv wrapper

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jacco

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add data move functionality to depthwise, fc, pooling

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Dmitry Zakharov

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person_detection example: wrap data with named bss section

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jacco

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add LCF file for ARC target

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Update URL to latest MLI lib with optimizations for person detect example

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fix memory allocation issue for person detect example

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update MLI lib to performance optimized MLI1.1 pre-release

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Add slicing logic for convolution layers in case the tensors don't fit completely in local memory, slicing is used to split the tensors.

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jacco

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Fix for upstream merge conflict the location of the header file was changed in the upstream archive. but the makefile was not updated.

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update to new version of MLI needed for slicing

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add slicing logic for weight slicing in conv kernel for ARC backend

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weight slicing for depthwise and fully connected in ARC backend

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pull request commenttensorflow/tensorflow

Fix invalid shape issue in random.uniform

@mihaimaruseac Thanks. 👍 Let me know if I can be of any help.

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Yong Tang

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Add inference type/shape passes Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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pull request commenttensorflow/tensorflow

Fix invalid shape issue in random.uniform

Thanks all for the help! 👍 🎉

yongtang

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issue commentcoredns/coredns

Migrating CoreDNS chart from helm/charts to coredns/charts

@stuartpb Depending on how helm chart download, but the GitHub itself is https I think?

mrueg

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issue commenttensorflow/io

avro type unssupported error

/cc @burgerkingeater FYI

dav009

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issue commenttensorflow/io

avro type unssupported error

@dav009 10 is mapped to AVRO_ARRAY which was not supported. Though the recent experimental implementation of tfio.experimental.columnar.AvroRecordDataset might have AVRO_ARRAY support. I will take a look.

dav009

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issue commenttensorflow/io

Docker building error

@dav009 Can you provide more details about the container you use and the steps you run?

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Aleksey Vlasenko

commit sha 5a64b0c1c57896aa33edfa6daf36c61527557724

Added Visual Studio Code tutorial, and updated README (#961) * Added Visual Studio Code tutorial, and updated README * merged and reformatted * added missing line break * moved vscode setup instructions to docs root * added VS code instructions to leftnav below Overview section * moved docs/vscode/vscode_debugger.png -> docs/images/vscode_debugger.png

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Yong Tang

commit sha 6ee0c6aa7efeff5d3a585edec36e1ab56fbf7b87

Add inference pass Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha a9abbabd307050076d4b44d2273da483b460c6cd

Replace foo.constant with foo.const and opaque type Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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pull request commenttensorflow/tensorflow

Fix invalid shape issue in random.uniform

Thanks @rthadur. I have updated the PR with additional test failure covered. Please give it a try and see if it works now.

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commit sha ca00d823629646ccf96dcaed1c0a69962051441c

Relax the Error type for assertRaises(), as differnet types could be thrown out in eager vs. graph mode Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 0a017d3252b01e735e3b2928fe180273598eb729

Replace fooconstant with foo.const and opaque type Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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issue commenttensorflow/tensorflow

tensorflow-io import error caused by "com_google_absl"

@impjdi From the description by @CuiYifeng I think the build is tf-nightly + tensorflow-io. As mentioned this will not work due to C++ API change in tf-nightly. A tensorflow (2.2.0) + tensorflow-io (0.13.0) will work.

CuiYifeng

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issue commenttensorflow/tensorflow

tensorflow-io import error caused by "com_google_absl"

@impjdi For tensorflow-io, we can only update the abseil once TF 2.3.0 rc0 is out. The master branch of tensorflow-io only depending on TF releases (not tf-nightly releases) due to the C++ API difference in tf-nightly. We will update the tensorflow-io code to make it compatible once TF 2.3.0rc0 is out.

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issue commentWJayesh/healthCheck

Passing deployment information to the binary

@WJayesh Overall it looks good to me. I could see you already have quite some code in the repo. What might be missing, is the README.md for instructions on how to build and deploy. That can help others to give it a try.

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issue commentWJayesh/healthCheck

Passing deployment information to the binary

@WJayesh Thanks, I will take a look. You can always explicitly ping me if you have any questions in the future (didn't receive you note until today).

WJayesh

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pull request commenttensorflow/tensorflow

Fix invalid shape issue in random.uniform

Thanks @rthadur Is it possible that you can post the full output of the error message? I think you might be only posting a part of it and it is hard to see where the error is.

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issue commenttensorflow/io

tfio.IODataset.from_hdf5 missing information

@rmcoronado For HDF5, the IODataset actually slices the dataset in dim 0 and renders the data one by one, with index=0, 1, 2,... through dim 0. This is why you see one less dimension. If you iterate through the Dataset you will notice each cycle it render one slice.

The expected usage of HDF5IODataset is that you have a data with first dimensional really large. (thus the need to slice to feed to tf.keras).

If you want to access the data as a whole or randomly access and slicing (not just dim=0), then you can take a look at HDF5IOTensor which might be more intuitive.

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pull request commenttensorflow/tensorflow

Fix invalid shape issue in random.uniform

Thanks @rthadur. I think the issue is caused by different error checking in graph vs eager mode so the exception message is slightly different. I have updated the PR that should cover both (I think). Please give it a try and let me know if the issue still persists.

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Yong Tang

commit sha ffd1a60a6fe7be01fbfec5262c0f1012fc865887

Relax the Error type for assertRaises(), as differnet types could be thrown out in eager vs. graph mode Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Work in Progress Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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pull request commenttensorflow/tensorflow

Fix ValueError with tf.keras.metrics.Recall and float64 keras backend

Thanks @pavithrasv for the review. The PR has been updated and now all float32 cast in the function have been changed to use the dtype of the variable. Please take a look and let me know if there are any issues.

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commit sha ee7bffc10cf9e8d56e51d8b9ae3212f7e3c27b09

Update update_confusion_matrix_variables to alwasy cast to variables_to_update dtype (vs. explicit float32) This commits updates the function update_confusion_matrix_variables to alwasy cast to dtype based on variables_to_update (previously the values are casted to float32 explicitly and that cuases issues when keras' backend use non-float32). Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Aleksey Vlasenko

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Added Visual Studio Code tutorial, and updated README (#961) * Added Visual Studio Code tutorial, and updated README * merged and reformatted * added missing line break * moved vscode setup instructions to docs root * added VS code instructions to leftnav below Overview section * moved docs/vscode/vscode_debugger.png -> docs/images/vscode_debugger.png

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Added Visual Studio Code tutorial, and updated README
+151 -24

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issue commenttensorflow/io

InvalidArgumentError: unable to initialize encoder [Op:IO>AudioEncodeAAC]

@avnx The latest nightly should have fixed the mono encoding issue. Let me know if issue persists.

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issue commentChanakya-Ekbote/coredns_dns_ml_firewall

Using External Plugin in CoreDNS

@Chanakya-Ekbote Yes I think that makes sense. We can come back and have the additional configuration options later.

Chanakya-Ekbote

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issue commenttensorflow/tensorflow

autograph for bool logic control incorrect

I think this is because is keywords is not implemented in autograph yet? But if I understand correctly, is is testing for identity, not equality. So if is_zero is True: probably makes sense as True is unique. But the other usages of is may not be feasible? /cc @mdanatg as this might be related.

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commit sha bb98a38c703aab26f8ca3636822757a40c40282c

Remove pylint check (#985) * Remove pylint check This PR removes pylint check, as was discussed in 980. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Also remove pylint in .github/workflows/build.yml Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add empty commit to push GitHub CI Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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commit sha bb98a38c703aab26f8ca3636822757a40c40282c

Remove pylint check (#985) * Remove pylint check This PR removes pylint check, as was discussed in 980. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Also remove pylint in .github/workflows/build.yml Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Add empty commit to push GitHub CI Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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PR merged tensorflow/io

Remove pylint check

This PR removes pylint check, as was discussed in #980.

Signed-off-by: Yong Tang yong.tang.github@outlook.com

+7 -453

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issue commentChanakya-Ekbote/coredns_dns_ml_firewall

Using External Plugin in CoreDNS

To test this out should I chain a plugin after the demo plugin, maybe whoami ?

@Chanakya-Ekbote Ideally the coredns-ml setup should be that,

  1. User setup CoreDNS the normal way with any plugins that they use (e.g., forward to 8.8.8.8, Kubernetes to wire up the Kubernetes cluster, etc).
  2. User will update the Corefile to enable the ML firewall, so that ML firewall will be at the beginning of the plugin chain, and block traffic if deemed malicious. If traffic is considered ok then it will fallback to the next plugin user setup, and the rest will behave like before.

For testing purposes, you can use forward to 8.8.8.8, or whomi will be fine as well (for just testing).

Chanakya-Ekbote

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issue commentChanakya-Ekbote/coredns_dns_ml_firewall

Using External Plugin in CoreDNS

@Chanakya-Ekbote honeypots is essentially a technique in security to lure and attract malicious traffic for further analysis, e.g., have a sandbox or vm to actually run malicious program for behavior analysis (and some times automatic signature generation). The honeypots itself is not the focus of this GSoC. However, you do need a way to allow user to selectively specify what the blackhole or honeypots would be when they launch the CoreDNS-ML firewall.

You can either add the option in setup.go, or even simpler, just return the IP of honeypots or blackhole in your python program in restful response.

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commit sha 616719505b793bbfaa533e1048d3b96b76030b2e

Also remove pylint in .github/workflows/build.yml Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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PR opened tensorflow/io

Remove pylint check

This PR removes pylint check, as was discussed in #980.

Signed-off-by: Yong Tang yong.tang.github@outlook.com

+6 -452

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Add foo compiler Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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commit sha 89db68731c972a211f004b29ceef13f99e85e668

Prune go mod to remove unneeded indirect dependencies While `go mod tidy` will automatically prune dependencies in go module, it does not prune indirect dependencies. As a result our go.mod and go.sum files actually consist of more dependencies (and multiple copies) than needed. This PR manually adjusts the go.mod file so that indirect dependencies could be pruned. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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commit sha 5fd70b8c16a52dee48599bd4cdfb8d61a3d01692

Prune go mod to remove unneeded indirect dependencies While `go mod tidy` will automatically prune dependencies in go module, it does not prune indirect dependencies. As a result our go.mod and go.sum files actually consist of more dependencies (and multiple copies) than needed. This PR manually adjusts the go.mod file so that indirect dependencies could be pruned. Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Yong Tang

commit sha 0a6dff97e1569248353cc8143400e3f6542f3507

Fix mono mode encode_mp3 on Linux (through LAME) (#984) * Fix mono mode encode_mp3 on Linux (through LAME) This PR fixes mode mode encode_mp3 on Linux, as was raised in 973. The issue was that encode_mp3 didn't take into consideration of mono mode (need non-interleaved encode, and need set_mode). This PR fixes 973. Signed-off-by: Yong Tang <yong.tang.github@outlook.com> * Skip test on mac where LAME is not available Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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Additional fix Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

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issue commentChanakya-Ekbote/coredns_dns_ml_firewall

Using External Plugin in CoreDNS

@Chanakya-Ekbote For any other domains other than the one that hit the ml algorithm, you want to leave it alone and ask the next plugin to process. So you should use :

if ... {
        .... ml logic...
        // write response
	w.WriteMsg(m)
	return dns.RcodeSuccess, nil
}
// fall back to the next plugin
return plugin.NextOrFailure(n.Name(), n.Next, ctx, w, r)
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build(deps): bump gopkg.in/DataDog/dd-trace-go.v1 from 1.24.0 to 1.24.1 (#3914) Bumps [gopkg.in/DataDog/dd-trace-go.v1](https://github.com/DataDog/dd-trace-go) from 1.24.0 to 1.24.1. - [Release notes](https://github.com/DataDog/dd-trace-go/releases) - [Commits](https://github.com/DataDog/dd-trace-go/compare/v1.24.0...v1.24.1) Signed-off-by: dependabot-preview[bot] <support@dependabot.com> Co-authored-by: dependabot-preview[bot] <27856297+dependabot-preview[bot]@users.noreply.github.com>

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build(deps): bump gopkg.in/DataDog/dd-trace-go.v1 from 1.24.0 to 1.24.1 dep

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Bumps gopkg.in/DataDog/dd-trace-go.v1 from 1.24.0 to 1.24.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/DataDog/dd-trace-go/releases">gopkg.in/DataDog/dd-trace-go.v1's releases</a>.</em></p> <blockquote> <h2>1.24.1</h2> <p>This release removes the <code>WithValueTags</code> option from the <code>contrib/bradfitz/gomemcache</code> integration.</p> <p><code>WithValueTags</code> could be problematic for multiple reasons such as producing unexpectedly large quantities of data, and possible security issues. We do not want to provide APIs with unexpected or potentially dangerous behavior.</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/DataDog/dd-trace-go/commit/3999161937e5d8d5b086cddcdece727df7621435"><code>3999161</code></a> Revert "contrib/bradfitz/gomemcache: trace item info for memcached operations...</li> <li>See full diff in <a href="https://github.com/DataDog/dd-trace-go/compare/v1.24.0...v1.24.1">compare view</a></li> </ul> </details> <br />

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build(deps): bump google.golang.org/api from 0.24.0 to 0.25.0 (#3912) Bumps [google.golang.org/api](https://github.com/googleapis/google-api-go-client) from 0.24.0 to 0.25.0. - [Release notes](https://github.com/googleapis/google-api-go-client/releases) - [Changelog](https://github.com/googleapis/google-api-go-client/blob/master/CHANGES.md) - [Commits](https://github.com/googleapis/google-api-go-client/compare/v0.24.0...v0.25.0) Signed-off-by: dependabot-preview[bot] <support@dependabot.com> Co-authored-by: dependabot-preview[bot] <27856297+dependabot-preview[bot]@users.noreply.github.com>

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build(deps): bump google.golang.org/api from 0.24.0 to 0.25.0 dep

Bumps google.golang.org/api from 0.24.0 to 0.25.0. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/googleapis/google-api-go-client/releases">google.golang.org/api's releases</a>.</em></p> <blockquote> <h2>v0.25.0</h2> <h2>Announcements</h2> <p><a href="https://github.com/googleapis/google-api-go-client">goolgeapis/google-api-go-client</a> has moved its source of truth to GitHub and is no longer a mirror. This means that our contributing process has changed a bit. We will now be conducting all code reviews on GitHub which means we now accept Pull Requests! If you have a version of the codebase previously checked out you may wish to update your git remote to point to GitHub.</p> <h2>Changes</h2> <ul> <li>all: <ul> <li>Updated instructions in CONTRIBUTING.md for pull requests.</li> </ul> </li> <li>idtoken: <ul> <li>Validate now checks to see if the token is expired.</li> </ul> </li> <li>sheets: <ul> <li>Update ExtendedValue Fields to be pointer types.</li> </ul> </li> <li>support/bunder: <ul> <li>Fix a deadlock that could when handler limit was set to one.</li> </ul> </li> <li>transport: <ul> <li>Allow <code>GOOGLE_API_USE_MTLS</code> overriding the mTLS endpoint behavior for the HTTP client.</li> </ul> </li> <li>Various updates to autogenerated clients.</li> </ul> <p><em>Please note:</em> the release version is not indicative of an individual client's stability or version.</p> </blockquote> </details> <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/googleapis/google-api-go-client/blob/master/CHANGES.md">google.golang.org/api's changelog</a>.</em></p> <blockquote> <h1>v0.25.0</h1> <h2>Announcements</h2> <p><a href="https://github.com/googleapis/google-api-go-client">goolgeapis/google-api-go-client</a> has moved its source of truth to GitHub and is no longer a mirror. This means that our contributing process has changed a bit. We will now be conducting all code reviews on GitHub which means we now accept Pull Requests! If you have a version of the codebase previously checked out you may wish to update your git remote to point to GitHub.</p> <h2>Changes</h2> <ul> <li>all: <ul> <li>Updated instructions in CONTRIBUTING.md for pull requests.</li> </ul> </li> <li>idtoken: <ul> <li>Validate now checks to see if the token is expired.</li> </ul> </li> <li>sheets: <ul> <li>Update ExtendedValue Fields to be pointer types.</li> </ul> </li> <li>support/bunder: <ul> <li>Fix a deadlock that could when handler limit was set to one.</li> </ul> </li> <li>transport: <ul> <li>Allow <code>GOOGLE_API_USE_MTLS</code> overriding the mTLS endpoint behavior for the HTTP client.</li> </ul> </li> <li>Various updates to autogenerated clients.</li> </ul> <p><em>Please note:</em> the release version is not indicative of an individual client's stability or version.</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/googleapis/google-api-go-client/commit/8ecc69ffe2df19a1b579676c8b1e0e3b5690d5e7"><code>8ecc69f</code></a> all: release v0.25.0 (<a href="https://github-redirect.dependabot.com/googleapis/google-api-go-client/issues/493">#493</a>)</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/b65b9f39245e976f1d5b23c5d54abd2bd05bd3c3"><code>b65b9f3</code></a> idtoken: validate if token is expired (<a href="https://github-redirect.dependabot.com/googleapis/google-api-go-client/issues/492">#492</a>)</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/05ec534c8030774181499b0a43a4e431356a92cb"><code>05ec534</code></a> CONTRIBUTING: add instructions for pull requests (<a href="https://github-redirect.dependabot.com/googleapis/google-api-go-client/issues/487">#487</a>)</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/6114940689b1dffd822bbe77408bce0b0b9d84f7"><code>6114940</code></a> support/bundler: fix deadlock when using time based flush</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/896839812b23852af2c5c1ea6702df7beee3de79"><code>8968398</code></a> sheets: Update ExtendedValue Fields to be pointer</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/334f1cf68ef2ac2ae0ae06c6423b982b81aa607b"><code>334f1cf</code></a> transport: support GOOGLE_API_USE_MTLS</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/7629a2dbc1f467b227e18f1a3d7b0d511f94e0f2"><code>7629a2d</code></a> all: autogenerated update (2020-05-18)</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/cc2eaa70ca1be332222571664cafca3bbdbf029c"><code>cc2eaa7</code></a> all: autogenerated update (2020-05-14)</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/51d7f2b835913da6636d80e12fdb8dbfcc21c00d"><code>51d7f2b</code></a> all: autogenerated update (2020-05-13)</li> <li><a href="https://github.com/googleapis/google-api-go-client/commit/f56cff5ae64be405ec9a3bb2318160ba0fd33cb6"><code>f56cff5</code></a> all: autogenerated update (2020-05-12)</li> <li>See full diff in <a href="https://github.com/googleapis/google-api-go-client/compare/v0.24.0...v0.25.0">compare view</a></li> </ul> </details> <br />

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build(deps): bump github.com/Azure/go-autorest/autorest (#3910) Bumps [github.com/Azure/go-autorest/autorest](https://github.com/Azure/go-autorest) from 0.10.1 to 0.10.2. - [Release notes](https://github.com/Azure/go-autorest/releases) - [Changelog](https://github.com/Azure/go-autorest/blob/master/CHANGELOG.md) - [Commits](https://github.com/Azure/go-autorest/compare/autorest/v0.10.1...autorest/v0.10.2) Signed-off-by: dependabot-preview[bot] <support@dependabot.com> Co-authored-by: dependabot-preview[bot] <27856297+dependabot-preview[bot]@users.noreply.github.com>

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build(deps): bump github.com/Azure/go-autorest/autorest from 0.10.1 to 0.10.2 dep

Bumps github.com/Azure/go-autorest/autorest from 0.10.1 to 0.10.2. <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/Azure/go-autorest/commit/778ae565bde392f58e04c3c8ff07c2ac506d00c9"><code>778ae56</code></a> Fix <code>x-ms-authorization-auxiliary</code> header sperator to comma (<a href="https://github-redirect.dependabot.com/Azure/go-autorest/issues/521">#521</a>)</li> <li>See full diff in <a href="https://github.com/Azure/go-autorest/compare/autorest/v0.10.1...autorest/v0.10.2">compare view</a></li> </ul> </details> <br />

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build(deps): bump k8s.io/client-go from 0.18.2 to 0.18.3 (#3909) Bumps [k8s.io/client-go](https://github.com/kubernetes/client-go) from 0.18.2 to 0.18.3. - [Release notes](https://github.com/kubernetes/client-go/releases) - [Changelog](https://github.com/kubernetes/client-go/blob/master/CHANGELOG.md) - [Commits](https://github.com/kubernetes/client-go/compare/v0.18.2...v0.18.3) Signed-off-by: dependabot-preview[bot] <support@dependabot.com> Co-authored-by: dependabot-preview[bot] <27856297+dependabot-preview[bot]@users.noreply.github.com>

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