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| author |  A. Unique TensorFlower <nobody@tensorflow.org> | 2016-01-13 07:24:12 -0800 |
|---|---|---|
| committer |  Vijay Vasudevan <vrv@google.com> | 2016-01-13 07:24:12 -0800 |
| commit | 5515148be85f369484d6179b7c1baab30995b068 (patch) | |
| tree | 44aad0dcac3376f69acc3ac03c99bf956d136e44 /tensorflow/g3doc/tutorials/mnist/download/index.md | |
| parent | 7a524d4de0a0da527f355adb7eccea7756c82dac (diff) | |
Minor fixes (related) to gpu_event_mgr_test.cc
This test got out of sync after some recent changes.
This CL allows the test function to explicitly stop/start
the polling loop so we can test some invarients without
non-deterministic timing issues. Also, the change
to TensorReferenceVector is now handled correctly in ~EventMgr,
and reliably tested.
Change: 112016082
Diffstat (limited to 'tensorflow/g3doc/tutorials/mnist/download/index.md')
| -rw-r--r-- | tensorflow/g3doc/tutorials/mnist/download/index.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/g3doc/tutorials/mnist/download/index.md b/tensorflow/g3doc/tutorials/mnist/download/index.md index dcd7dfc23d..e9698d6248 100644 --- a/tensorflow/g3doc/tutorials/mnist/download/index.md +++ b/tensorflow/g3doc/tutorials/mnist/download/index.md @@ -1,6 +1,6 @@ # MNIST Data Download -Code: [tensorflow/examples/tutorials/mnist/](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/tutorials/mnist/) +Code: [tensorflow/examples/tutorials/mnist/](https://www.tensorflow.org/code/tensorflow/examples/tutorials/mnist/) The goal of this tutorial is to show how to download the dataset files required for handwritten digit classification using the (classic) MNIST data set. @@ -11,7 +11,7 @@ This tutorial references the following files: File | Purpose --- | --- -[`input_data.py`](https://tensorflow.googlesource.com/tensorflow/+/master/tensorflow/examples/tutorials/mnist/input_data.py) | The code to download the MNIST dataset for training and evaluation. +[`input_data.py`](https://www.tensorflow.org/code/tensorflow/examples/tutorials/mnist/input_data.py) | The code to download the MNIST dataset for training and evaluation. ## Prepare the Data |