A simple C++ binary to benchmark a compute graph and its individual operators, both on desktop machines and 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"
(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