From d5d43d82c0137e08553e44345c609cdd1a7931c7 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Fri, 17 Jun 2022 13:24:58 +0100 Subject: Update Doxygen for 22.05 patch release * Pooling3D added to tfLite delegate * Available in tag 22.05.01 Signed-off-by: Nikhil Raj Change-Id: I8d605bba4e87d30baa2c6d7b338c78a4400dc021 --- 22.05.01/_armnn_converter_8cpp.xhtml | 200 +++++++++++++++++++++++++++++++++++ 1 file changed, 200 insertions(+) create mode 100644 22.05.01/_armnn_converter_8cpp.xhtml (limited to '22.05.01/_armnn_converter_8cpp.xhtml') diff --git a/22.05.01/_armnn_converter_8cpp.xhtml b/22.05.01/_armnn_converter_8cpp.xhtml new file mode 100644 index 0000000000..cbcdd5c88a --- /dev/null +++ b/22.05.01/_armnn_converter_8cpp.xhtml @@ -0,0 +1,200 @@ + + + + + + + + + + + + + +ArmNN: src/armnnConverter/ArmnnConverter.cpp File Reference + + + + + + + + + + + + + + + + +
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+ + + + ArmNN + + + +
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+  22.05.01 +
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+Macros | +Functions
+
+
ArmnnConverter.cpp File Reference
+
+
+
#include <armnn/Logging.hpp>
+#include <HeapProfiling.hpp>
+#include <armnn/utility/NumericCast.hpp>
+#include <armnn/utility/StringUtils.hpp>
+#include <cxxopts/cxxopts.hpp>
+#include <fmt/format.h>
+#include <cstdlib>
+#include <fstream>
+#include <iostream>
+
+

Go to the source code of this file.

+ + + + +

+Macros

#define CXXOPTS_VECTOR_DELIMITER   '.'
 
+ + + +

+Functions

int main (int argc, char *argv[])
 
+

Macro Definition Documentation

+ +

◆ CXXOPTS_VECTOR_DELIMITER

+ +
+
+ + + + +
#define CXXOPTS_VECTOR_DELIMITER   '.'
+
+ +

Definition at line 27 of file ArmnnConverter.cpp.

+ +
+
+

Function Documentation

+ +

◆ main()

+ +
+
+ + + + + + + + + + + + + + + + + + +
int main (int argc,
char * argv[] 
)
+
+
Examples:
AsyncExecutionSample.cpp, CustomMemoryAllocatorSample.cpp, DynamicSample.cpp, and SimpleSample.cpp.
+
+

Definition at line 327 of file ArmnnConverter.cpp.

+ +

References ARMNN_LOG, armnn::ConfigureLogging(), armnn::Debug, armnn::Info, and Exception::what().

+
328 {
329 
330 #if (!defined(ARMNN_ONNX_PARSER) \
331  && !defined(ARMNN_TF_PARSER) \
332  && !defined(ARMNN_TF_LITE_PARSER))
333  ARMNN_LOG(fatal) << "Not built with any of the supported parsers Onnx, Tensorflow, or TfLite.";
334  return EXIT_FAILURE;
335 #endif
336 
337 #if !defined(ARMNN_SERIALIZER)
338  ARMNN_LOG(fatal) << "Not built with Serializer support.";
339  return EXIT_FAILURE;
340 #endif
341 
342 #ifdef NDEBUG
343  armnn::LogSeverity level = armnn::LogSeverity::Info;
344 #else
345  armnn::LogSeverity level = armnn::LogSeverity::Debug;
346 #endif
347 
348  armnn::ConfigureLogging(true, true, level);
349 
350  std::string modelFormat;
351  std::string modelPath;
352 
353  std::vector<std::string> inputNames;
354  std::vector<std::string> inputTensorShapeStrs;
355  std::vector<armnn::TensorShape> inputTensorShapes;
356 
357  std::vector<std::string> outputNames;
358  std::string outputPath;
359 
360  bool isModelBinary = true;
361 
362  if (ParseCommandLineArgs(
363  argc, argv, modelFormat, modelPath, inputNames, inputTensorShapeStrs, outputNames, outputPath, isModelBinary)
364  != EXIT_SUCCESS)
365  {
366  return EXIT_FAILURE;
367  }
368 
369  for (const std::string& shapeStr : inputTensorShapeStrs)
370  {
371  if (!shapeStr.empty())
372  {
373  std::stringstream ss(shapeStr);
374 
375  try
376  {
377  armnn::TensorShape shape = ParseTensorShape(ss);
378  inputTensorShapes.push_back(shape);
379  }
380  catch (const armnn::InvalidArgumentException& e)
381  {
382  ARMNN_LOG(fatal) << "Cannot create tensor shape: " << e.what();
383  return EXIT_FAILURE;
384  }
385  }
386  }
387 
388  ArmnnConverter converter(modelPath, inputNames, inputTensorShapes, outputNames, outputPath, isModelBinary);
389 
390  try
391  {
392  if (modelFormat.find("onnx") != std::string::npos)
393  {
394 #if defined(ARMNN_ONNX_PARSER)
395  if (!converter.CreateNetwork<armnnOnnxParser::IOnnxParser>())
396  {
397  ARMNN_LOG(fatal) << "Failed to load model from file";
398  return EXIT_FAILURE;
399  }
400 #else
401  ARMNN_LOG(fatal) << "Not built with Onnx parser support.";
402  return EXIT_FAILURE;
403 #endif
404  }
405  else if (modelFormat.find("tflite") != std::string::npos)
406  {
407 #if defined(ARMNN_TF_LITE_PARSER)
408  if (!isModelBinary)
409  {
410  ARMNN_LOG(fatal) << "Unknown model format: '" << modelFormat << "'. Only 'binary' format supported \
411  for tflite files";
412  return EXIT_FAILURE;
413  }
414 
415  if (!converter.CreateNetwork<armnnTfLiteParser::ITfLiteParser>())
416  {
417  ARMNN_LOG(fatal) << "Failed to load model from file";
418  return EXIT_FAILURE;
419  }
420 #else
421  ARMNN_LOG(fatal) << "Not built with TfLite parser support.";
422  return EXIT_FAILURE;
423 #endif
424  }
425  else
426  {
427  ARMNN_LOG(fatal) << "Unknown model format: '" << modelFormat << "'";
428  return EXIT_FAILURE;
429  }
430  }
431  catch(armnn::Exception& e)
432  {
433  ARMNN_LOG(fatal) << "Failed to load model from file: " << e.what();
434  return EXIT_FAILURE;
435  }
436 
437  if (!converter.Serialize())
438  {
439  ARMNN_LOG(fatal) << "Failed to serialize model";
440  return EXIT_FAILURE;
441  }
442 
443  return EXIT_SUCCESS;
444 }
armnn::ConfigureLogging
void ConfigureLogging(bool printToStandardOutput, bool printToDebugOutput, LogSeverity severity)
Configures the logging behaviour of the ARMNN library.
Definition: Utils.cpp:18
+ +
armnn::Exception::what
virtual const char * what() const noexcept override
Definition: Exceptions.cpp:32
+
ARMNN_LOG
#define ARMNN_LOG(severity)
Definition: Logging.hpp:205
+ + + + +
armnn::Exception
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46
+
armnn::LogSeverity
LogSeverity
Definition: Utils.hpp:14
+ +
+
+
+
+
+ + + + -- cgit v1.2.1