46040c2d00
android_tensorflow_lib alias was removed. PiperOrigin-RevId: 335643116 Change-Id: Ifd899ec6307910aaa87ff1110925ae499c338040 |
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| .. | ||
| benchmark_model_main.cc | ||
| benchmark_model_test.cc | ||
| benchmark_model.cc | ||
| benchmark_model.h | ||
| BUILD | ||
| README.md | ||
TensorFlow Model Benchmark Tool
Description
A simple C++ binary to benchmark a compute graph and its individual operators, both on desktop machines and on Android.
To build/install/run
On Android:
(0) Refer to https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android
to edit the WORKSPACE to configure the android NDK/SDK.
(1) build for your specific platform, e.g.:
bazel build -c opt \
--crosstool_top=//external:android/crosstool \
--cpu=armeabi-v7a \
--host_crosstool_top=@bazel_tools//tools/cpp:toolchain \
--config monolithic \
tensorflow/tools/benchmark:benchmark_model
(2) Connect your phone. Push the binary to your phone with adb push (make the directory if required):
adb push bazel-bin/tensorflow/tools/benchmark/benchmark_model /data/local/tmp
(3) Push the compute graph that you need to test. For example:
adb push tensorflow_inception_graph.pb /data/local/tmp
(4) Run the benchmark. For example:
adb shell /data/local/tmp/benchmark_model \
--graph=/data/local/tmp/tensorflow_inception_graph.pb \
--input_layer="input:0" \
--input_layer_shape="1,224,224,3" \
--input_layer_type="float" \
--output_layer="output:0"
On desktop:
(1) build the binary
bazel build -c opt tensorflow/tools/benchmark:benchmark_model
(2) Run on your compute graph, similar to the Android case but without the need of adb shell. For example:
bazel-bin/tensorflow/tools/benchmark/benchmark_model \
--graph=tensorflow_inception_graph.pb \
--input_layer="input:0" \
--input_layer_shape="1,224,224,3" \
--input_layer_type="float" \
--output_layer="output:0"
The Inception graph used as an example here may be downloaded from https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip