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Fix quantization tutorial #11285

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merged 2 commits into from Jul 26, 2017
Merged

Fix quantization tutorial #11285

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53459ba
Remove outdated dependencies in quantization tutorial
korrawat Jul 5, 2017
83e59e4
Fix quantization tutorial's example
korrawat Jul 5, 2017
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8 changes: 1 addition & 7 deletions tensorflow/docs_src/performance/quantization.md
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Expand Up @@ -93,7 +93,7 @@ curl http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.t
tar xzf /tmp/inceptionv3.tgz -C /tmp/
bazel build tensorflow/tools/graph_transforms:transform_graph
bazel-bin/tensorflow/tools/graph_transforms/transform_graph \
--in_graph=/tmp/classify_image_graph_def.pb \
--inputs="Mul" --in_graph=/tmp/classify_image_graph_def.pb \
--outputs="softmax" --out_graph=/tmp/quantized_graph.pb \
--transforms='add_default_attributes strip_unused_nodes(type=float, shape="1,299,299,3")
remove_nodes(op=Identity, op=CheckNumerics) fold_constants(ignore_errors=true)
Expand All @@ -108,12 +108,6 @@ versus 91MB). You can still run this model using exactly the same inputs and
outputs though, and you should get equivalent results. Here's an example:

```sh
# Note: You need to add the dependencies of the quantization operation to the
# cc_binary in the BUILD file of the label_image program:
#
# //tensorflow/contrib/quantization:cc_ops
# //tensorflow/contrib/quantization/kernels:quantized_ops

bazel build tensorflow/examples/label_image:label_image
bazel-bin/tensorflow/examples/label_image/label_image \
--image=<input-image> \
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