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author | Anthony Wang | 2021-08-24 20:27:14 -0500 |
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committer | Anthony Wang | 2021-08-24 20:27:14 -0500 |
commit | b8133346a4a626451436883f35477c8014de4a4b (patch) | |
tree | 4d90baa08f94f8f62c0f8575f319f96e39ae2595 /quickstart_tutorial.ipynb | |
parent | 8816c54f44c615481a712fa14e494ae9c91c6f91 (diff) |
Add latest code
Diffstat (limited to 'quickstart_tutorial.ipynb')
-rw-r--r-- | quickstart_tutorial.ipynb | 39 |
1 files changed, 25 insertions, 14 deletions
diff --git a/quickstart_tutorial.ipynb b/quickstart_tutorial.ipynb index 4e847d9..f2ba6c8 100644 --- a/quickstart_tutorial.ipynb +++ b/quickstart_tutorial.ipynb @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": { "collapsed": false, "jupyter": { @@ -79,23 +79,14 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/ta180m/git/PyTorch/.venv/lib/python3.9/site-packages/torchvision/datasets/mnist.py:498: UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors. This means you can write to the underlying (supposedly non-writeable) NumPy array using the tensor. You may want to copy the array to protect its data or make it writeable before converting it to a tensor. This type of warning will be suppressed for the rest of this program. (Triggered internally at /pytorch/torch/csrc/utils/tensor_numpy.cpp:180.)\n", - " return torch.from_numpy(parsed.astype(m[2], copy=False)).view(*s)\n" - ] - } - ], + "outputs": [], "source": [ "# Download training data from open datasets.\n", "training_data = datasets.FashionMNIST(\n", @@ -126,6 +117,26 @@ }, { "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "torchvision.datasets.mnist.FashionMNIST" + ] + }, + "metadata": {}, + "execution_count": 6 + } + ], + "source": [ + "type(training_data)" + ] + }, + { + "cell_type": "code", "execution_count": 23, "metadata": { "collapsed": false, @@ -770,9 +781,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.6" + "version": "3.9.6-final" } }, "nbformat": 4, "nbformat_minor": 4 -} +}
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