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Fix quantization tutorial (#11285)

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* Remove outdated dependencies in quantization tutorial

* Fix quantization tutorial's example
This commit is contained in:
James Pruegsanusak 2017-07-26 13:01:58 +08:00 committed by Vijay Vasudevan
parent c2ce4f68c7
commit 16d39e94e3
1 changed files with 1 additions and 7 deletions
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8
tensorflow/docs_src/performance/quantization.md
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@ -93,7 +93,7 @@ curl http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.t
tar xzf /tmp/inceptionv3.tgz -C /tmp/ tar xzf /tmp/inceptionv3.tgz -C /tmp/
bazel build tensorflow/tools/graph_transforms:transform_graph bazel build tensorflow/tools/graph_transforms:transform_graph
bazel-bin/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 \ --outputs="softmax" --out_graph=/tmp/quantized_graph.pb \
--transforms='add_default_attributes strip_unused_nodes(type=float, shape="1,299,299,3") --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) remove_nodes(op=Identity, op=CheckNumerics) fold_constants(ignore_errors=true)
@ -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: outputs though, and you should get equivalent results. Here's an example:
```sh ```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 build tensorflow/examples/label_image:label_image
bazel-bin/tensorflow/examples/label_image/label_image \ bazel-bin/tensorflow/examples/label_image/label_image \
--image=<input-image> \ --image=<input-image> \