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Add logging and timer implementations for hexagon. Update xtensa comments.

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PiperOrigin-RevId: 337377957
Change-Id: I3c842fa1945c174e435418146b01a66b7805fd40
This commit is contained in:
Nat Jeffries 2020-10-15 14:02:39 -07:00 committed by TensorFlower Gardener
parent e70e880bd5
commit b43c3c3a68
4 changed files with 41 additions and 54 deletions
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13
tensorflow/lite/micro/debug_log.cc
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@ -1,4 +1,4 @@
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
@ -36,6 +36,15 @@ limitations under the License.
#include "tensorflow/lite/micro/debug_log.h"
#ifndef TF_LITE_STRIP_ERROR_STRINGS
#include <cstdio>
#endif
extern "C" void DebugLog(const char* s) { fprintf(stderr, "%s", s); }
extern "C" void DebugLog(const char* s) {
#ifndef TF_LITE_STRIP_ERROR_STRINGS
// Reusing TF_LITE_STRIP_ERROR_STRINGS to disable DebugLog completely to get
// maximum reduction in binary size. This is because we have DebugLog calls
// via TF_LITE_CHECK that are not stubbed out by TF_LITE_REPORT_ERROR.
fprintf(stderr, "%s", s);
#endif
}

28
tensorflow/lite/micro/hexagon/micro_time.cc Normal file
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@ -0,0 +1,28 @@
/* Copyright 2020 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
// Hexagon timer implementation.
// To include this with make, add TARGET=hexagon.
#include "tensorflow/lite/micro/micro_time.h"
#include <time.h>
namespace tflite {
int32_t ticks_per_second() { return CLOCKS_PER_SEC; }
int32_t GetCurrentTimeTicks() { return clock(); }
} // namespace tflite

50
tensorflow/lite/micro/xtensa_hifimini/debug_log.cc
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@ -1,50 +0,0 @@
/* Copyright 2018 The TensorFlow Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
// Reference implementation of the DebugLog() function that's required for a
// platform to support the TensorFlow Lite for Microcontrollers library. This is
// the only function that's absolutely required to be available on a target
// device, since it's used for communicating test results back to the host so
// that we can verify the implementation is working correctly.
// It's designed to be as easy as possible to supply an implementation though.
// On platforms that have a POSIX stack or C library, it can be written as a
// single call to `fprintf(stderr, "%s", s)` to output a string to the error
// stream of the console, but if there's no OS or C library available, there's
// almost always an equivalent way to write out a string to some serial
// interface that can be used instead. For example on Arm M-series MCUs, calling
// the `bkpt #0xAB` assembler instruction will output the string in r1 to
// whatever debug serial connection is available. If you're running mbed, you
// can do the same by creating `Serial pc(USBTX, USBRX)` and then calling
// `pc.printf("%s", s)`.
// To add an equivalent function for your own platform, create your own
// implementation file, and place it in a subfolder with named after the OS
// you're targeting. For example, see the Cortex M bare metal version in
// tensorflow/lite/micro/bluepill/debug_log.cc or the mbed one on
// tensorflow/lite/micro/mbed/debug_log.cc.
#include "tensorflow/lite/micro/debug_log.h"
#ifndef TF_LITE_STRIP_ERROR_STRINGS
#include <cstdio>
#endif
extern "C" void DebugLog(const char* s) {
#ifndef TF_LITE_STRIP_ERROR_STRINGS
// Reusing TF_LITE_STRIP_ERROR_STRINGS to disable DebugLog completely to get
// maximum reduction in binary size. This is because we have DebugLog calls
// via TF_LITE_CHECK that are not stubbed out by TF_LITE_REPORT_ERROR.
fprintf(stderr, "%s", s);
#endif
}

4
tensorflow/lite/micro/xtensa_hifimini/micro_time.cc
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@ -13,8 +13,8 @@ See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
// Xtensa implementation of micro_timer.
// To include this with make, add TAGS=xtensa-xpg.
// Xtensa timer implementation.
// To include this with make, add TARGET=xtensa_hifimini.
#include "tensorflow/lite/micro/micro_time.h"
#include <time.h>