diff options
| author |  Shashi Shekhar <shashishekhar@google.com> | 2018-08-31 15:23:09 -0700 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2018-08-31 15:26:25 -0700 |
| commit | 421a19c31df29c3d198ebf47bb9456aa009fa5ce (patch) | |
| tree | 7ca93650826d914f02e6ed9dd85a2e8f7f18c621 /tensorflow/contrib/lite/tools | |
| parent | 609af0d56125cf6f6e58252ba71ac89338a6e024 (diff) | |
Fix docs.
PiperOrigin-RevId: 211153502
Diffstat (limited to 'tensorflow/contrib/lite/tools')
| -rw-r--r-- | tensorflow/contrib/lite/tools/benchmark/README.md | 9 |
1 files changed, 3 insertions, 6 deletions
diff --git a/tensorflow/contrib/lite/tools/benchmark/README.md b/tensorflow/contrib/lite/tools/benchmark/README.md index 70b402f626..8d997639fb 100644 --- a/tensorflow/contrib/lite/tools/benchmark/README.md +++ b/tensorflow/contrib/lite/tools/benchmark/README.md @@ -9,7 +9,7 @@ of runs. Aggregrate latency statistics are reported after running the benchmark. The instructions below are for running the binary on Desktop and Android, for iOS please use the -[iOS benchmark app] (https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark/ios). +[iOS benchmark app](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite/tools/benchmark/ios). ## Parameters @@ -30,7 +30,7 @@ and the following optional parameters: The delay in seconds between subsequent benchmark runs. Non-positive values mean use no delay. * `use_nnapi`: `bool` (default=false) \ - Whether to use [Android NNAPI] (https://developer.android.com/ndk/guides/neuralnetworks/). + Whether to use [Android NNAPI](https://developer.android.com/ndk/guides/neuralnetworks/). This API is available on recent Android devices. ## To build/install/run @@ -91,8 +91,7 @@ bazel-bin/tensorflow/contrib/lite/tools/benchmark/benchmark_model \ --num_threads=4 ``` -The MobileNet graph used as an example here may be downloaded from -https://storage.googleapis.com/download.tensorflow.org/models/tflite/mobilenet_v1_224_android_quant_2017_11_08.zip +The MobileNet graph used as an example here may be downloaded from [here](https://storage.googleapis.com/download.tensorflow.org/models/tflite/mobilenet_v1_224_android_quant_2017_11_08.zip). ## Reducing variance between runs on Android. @@ -196,5 +195,3 @@ Memory (bytes): count=0 Average inference timings in us: Warmup: 83235, Init: 38467, no stats: 79760.9 ``` - - |