Merge pull request #36749 from freedomtan:add_xnnpack_to_label_image

PiperOrigin-RevId: 301479850
Change-Id: I434b3dfd432ede55ea10b820f38f9af3173e9a41
This commit is contained in:
TensorFlower Gardener 2020-03-17 16:44:38 -07:00
commit bfd3af386f
8 changed files with 2 additions and 66 deletions

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@ -33,7 +33,6 @@ cc_binary(
"//tensorflow/lite:framework",
"//tensorflow/lite:string_util",
"//tensorflow/lite/delegates/nnapi:nnapi_delegate",
"//tensorflow/lite/delegates/xnnpack:xnnpack_delegate",
"//tensorflow/lite/kernels:builtin_ops",
"//tensorflow/lite/profiling:profiler",
"//tensorflow/lite/tools/evaluation:utils",

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@ -105,7 +105,7 @@ Run the model with NNAPI delegate (`-a 1`), `adb shell
then you should see something like the followings: `Loaded model
/data/local/tmp/mobilenet_v1_1.0_224.tflite resolved reporter INFO: Initialized
TensorFlow Lite runtime. INFO: Created TensorFlow Lite delegate for NNAPI.
Applied NNAPI delegate. invoked average time:10.348 ms 0.905401: 653 military
Applied NNAPI delegate.invoked average time: 10.348 ms 0.905401: 653 military
uniform 0.0379589: 907 Windsor tie 0.00735866: 466 bulletproof vest 0.00605307:
458 bow tie 0.00422573: 514 cornet`
@ -125,13 +125,4 @@ average time: 8.307 ms 0.729412: 653 military uniform 0.0980392: 907 Windsor tie
0.0313726: 466 bulletproof vest 0.0313726: 458 bow tie 0.0117647: 700 panpipe
```
Run the model with the XNNPACK delegate (`-x 1`), `adb shell
"/data/local/tmp/label_image \ -m /data/local/tmp/mobilenet_v1_1.0_224.tflite \
-i /data/local/tmp/grace_hopper.bmp \ -l /data/local/tmp/labels.txt -x 1"` then
you should see something like the followings: `Loaded model
/data/local/tmp/mobilenet_v1_1.0_224.tflite resolved reporter INFO: Initialized
TensorFlow Lite runtime. Applied XNNPACK delegate.invoked average time: 11.0237
ms 0.90707: 653 military uniform 0.0372418: 907 Windsor tie 0.0073376: 466
bulletproof vest 0.00592856: 458 bow tie 0.00414093: 514 cornet`
See the `label_image.cc` source code for other command line options.

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@ -37,7 +37,6 @@ limitations under the License.
#include "absl/memory/memory.h"
#include "tensorflow/lite/delegates/nnapi/nnapi_delegate.h"
#include "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
#include "tensorflow/lite/examples/label_image/bitmap_helpers.h"
#include "tensorflow/lite/examples/label_image/get_top_n.h"
#include "tensorflow/lite/kernels/register.h"
@ -102,19 +101,6 @@ TfLiteDelegatePtrMap GetDelegates(Settings* s) {
}
}
if (s->xnnpack_delegate) {
TfLiteXNNPackDelegateOptions xnnpack_options =
TfLiteXNNPackDelegateOptionsDefault();
xnnpack_options.num_threads = s->number_of_threads;
auto delegate = evaluation::CreateXNNPACKDelegate(&xnnpack_options);
if (!delegate) {
LOG(INFO) << "XNNPACK acceleration is unsupported on this platform.";
} else {
delegates.emplace("XNNPACK", std::move(delegate));
}
}
return delegates;
}
@ -374,7 +360,6 @@ void display_usage() {
<< "--threads, -t: number of threads\n"
<< "--verbose, -v: [0|1] print more information\n"
<< "--warmup_runs, -w: number of warmup runs\n"
<< "--xnnpack_delegate, -x: xnnpack delegate\n"
<< "\n";
}
@ -401,14 +386,13 @@ int Main(int argc, char** argv) {
{"warmup_runs", required_argument, nullptr, 'w'},
{"gl_backend", required_argument, nullptr, 'g'},
{"hexagon_delegate", required_argument, nullptr, 'j'},
{"xnnpack_delegate", required_argument, nullptr, 'x'},
{nullptr, 0, nullptr, 0}};
/* getopt_long stores the option index here. */
int option_index = 0;
c = getopt_long(argc, argv,
"a:b:c:d:e:f:g:i:j:l:m:p:r:s:t:v:w:x:", long_options,
"a:b:c:d:e:f:g:i:j:l:m:p:r:s:t:v:w:", long_options,
&option_index);
/* Detect the end of the options. */
@ -476,9 +460,6 @@ int Main(int argc, char** argv) {
s.number_of_warmup_runs =
strtol(optarg, nullptr, 10); // NOLINT(runtime/deprecated_fn)
break;
case 'x':
s.xnnpack_delegate = optarg;
break;
case 'h':
case '?':
/* getopt_long already printed an error message. */

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@ -31,7 +31,6 @@ struct Settings {
bool allow_fp16 = false;
bool gl_backend = false;
bool hexagon_delegate = false;
bool xnnpack_delegate = false;
int loop_count = 1;
float input_mean = 127.5f;
float input_std = 127.5f;

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@ -43,7 +43,6 @@ cc_library(
"//tensorflow/lite:context",
"//tensorflow/lite:framework",
"//tensorflow/lite/delegates/nnapi:nnapi_delegate",
"//tensorflow/lite/delegates/xnnpack:xnnpack_delegate",
] + select({
"//tensorflow:android": [
"//tensorflow/lite/delegates/gpu:delegate",

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@ -164,19 +164,5 @@ Interpreter::TfLiteDelegatePtr CreateHexagonDelegate(
#endif // defined(__ANDROID__)
}
Interpreter::TfLiteDelegatePtr CreateXNNPACKDelegate() {
TfLiteXNNPackDelegateOptions xnnpack_options =
TfLiteXNNPackDelegateOptionsDefault();
return CreateXNNPACKDelegate(&xnnpack_options);
}
Interpreter::TfLiteDelegatePtr CreateXNNPACKDelegate(
const TfLiteXNNPackDelegateOptions* xnnpack_options) {
auto xnnpack_delegate = TfLiteXNNPackDelegateCreate(xnnpack_options);
return Interpreter::TfLiteDelegatePtr(
xnnpack_delegate,
[](TfLiteDelegate* delegate) { TfLiteXNNPackDelegateDelete(delegate); });
}
} // namespace evaluation
} // namespace tflite

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@ -29,7 +29,6 @@ limitations under the License.
#include "tensorflow/lite/context.h"
#include "tensorflow/lite/delegates/nnapi/nnapi_delegate.h"
#include "tensorflow/lite/delegates/xnnpack/xnnpack_delegate.h"
#include "tensorflow/lite/model.h"
namespace tflite {
@ -65,10 +64,6 @@ Interpreter::TfLiteDelegatePtr CreateGPUDelegate(
Interpreter::TfLiteDelegatePtr CreateHexagonDelegate(
const std::string& library_directory_path, bool profiling);
Interpreter::TfLiteDelegatePtr CreateXNNPACKDelegate();
Interpreter::TfLiteDelegatePtr CreateXNNPACKDelegate(
const TfLiteXNNPackDelegateOptions* options);
} // namespace evaluation
} // namespace tflite

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@ -101,8 +101,6 @@ MACH_ARM_SRCS = [
cc_library(
name = "cpuinfo_impl",
srcs = select({
":linux_aarch64": COMMON_SRCS + ARM_SRCS + LINUX_SRCS + LINUX_ARM64_SRCS,
":linux_arm": COMMON_SRCS + ARM_SRCS + LINUX_SRCS + LINUX_ARM32_SRCS,
":linux_x86_64": COMMON_SRCS + X86_SRCS + LINUX_SRCS + LINUX_X86_SRCS,
":macos_x86_64": COMMON_SRCS + X86_SRCS + MACH_SRCS + MACH_X86_SRCS,
":android_armv7": COMMON_SRCS + ARM_SRCS + LINUX_SRCS + LINUX_ARM32_SRCS + ANDROID_ARM_SRCS,
@ -161,18 +159,6 @@ cc_library(
############################# Build configurations #############################
config_setting(
name = "linux_aarch64",
values = {"cpu": "aarch64"},
visibility = ["//visibility:public"],
)
config_setting(
name = "linux_arm",
values = {"cpu": "arm"},
visibility = ["//visibility:public"],
)
config_setting(
name = "linux_x86_64",
values = {"cpu": "k8"},