From fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf Mon Sep 17 00:00:00 2001 From: Jan Eilers Date: Thu, 25 Feb 2021 17:44:00 +0000 Subject: IVGCVSW-5687 Update Doxygen Docu * Update Doxygen Documentation for 21.02 release Signed-off-by: Jan Eilers Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5 --- 21.02/_execute_network_params_8cpp.xhtml | 225 +++++++++++++++++++++++++++++++ 1 file changed, 225 insertions(+) create mode 100644 21.02/_execute_network_params_8cpp.xhtml (limited to '21.02/_execute_network_params_8cpp.xhtml') diff --git a/21.02/_execute_network_params_8cpp.xhtml b/21.02/_execute_network_params_8cpp.xhtml new file mode 100644 index 0000000000..6b57b18bdd --- /dev/null +++ b/21.02/_execute_network_params_8cpp.xhtml @@ -0,0 +1,225 @@ + + + + + + + + + + + + + +ArmNN: tests/ExecuteNetwork/ExecuteNetworkParams.cpp File Reference + + + + + + + + + + + + + + + + +
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+  21.02 +
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+Functions
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ExecuteNetworkParams.cpp File Reference
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+
#include "ExecuteNetworkParams.hpp"
+#include "NetworkExecutionUtils/NetworkExecutionUtils.hpp"
+#include <InferenceModel.hpp>
+#include <armnn/Logging.hpp>
+#include <fmt/format.h>
+
+

Go to the source code of this file.

+ + + + + + + + +

+Functions

bool IsModelBinary (const std::string &modelFormat)
 
void CheckModelFormat (const std::string &modelFormat)
 
void CheckClTuningParameter (const int &tuningLevel, const std::string &tuningPath, const std::vector< armnn::BackendId > computeDevices)
 
+

Function Documentation

+ +

◆ CheckClTuningParameter()

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void CheckClTuningParameter (const int & tuningLevel,
const std::string & tuningPath,
const std::vector< armnn::BackendId > computeDevices 
)
+
+ +

Definition at line 91 of file ExecuteNetworkParams.cpp.

+ +

References ARMNN_LOG, and ValidatePath().

+ +

Referenced by ExecuteNetworkParams::ValidateParams().

+
94 {
95  if (!tuningPath.empty())
96  {
97  if (tuningLevel == 0)
98  {
99  ARMNN_LOG(info) << "Using cl tuning file: " << tuningPath << "\n";
100  if (!ValidatePath(tuningPath, true))
101  {
102  throw armnn::InvalidArgumentException("The tuning path is not valid");
103  }
104  }
105  else if ((1 <= tuningLevel) && (tuningLevel <= 3))
106  {
107  ARMNN_LOG(info) << "Starting execution to generate a cl tuning file: " << tuningPath << "\n"
108  << "Tuning level in use: " << tuningLevel << "\n";
109  }
110  else if ((0 < tuningLevel) || (tuningLevel > 3))
111  {
112  throw armnn::InvalidArgumentException(fmt::format("The tuning level {} is not valid.",
113  tuningLevel));
114  }
115 
116  // Ensure that a GpuAcc is enabled. Otherwise no tuning data are used or genereted
117  // Only warn if it's not enabled
118  auto it = std::find(computeDevices.begin(), computeDevices.end(), "GpuAcc");
119  if (it == computeDevices.end())
120  {
121  ARMNN_LOG(warning) << "To use Cl Tuning the compute device GpuAcc needs to be active.";
122  }
123  }
124 
125 }
ARMNN_LOG
#define ARMNN_LOG(severity)
Definition: Logging.hpp:202
+ +
ValidatePath
bool ValidatePath(const std::string &file, const bool expectFile)
Verifies if the given string is a valid path.
Definition: NetworkExecutionUtils.cpp:233
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+ +

◆ CheckModelFormat()

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void CheckModelFormat (const std::string & modelFormat)
+
+ +

Definition at line 33 of file ExecuteNetworkParams.cpp.

+ +

References IsModelBinary().

+ +

Referenced by ExecuteNetworkParams::ValidateParams().

+
34 {
35  // Forward to implementation based on the parser type
36  if (modelFormat.find("armnn") != std::string::npos)
37  {
38 #if defined(ARMNN_SERIALIZER)
39 #else
40  throw armnn::InvalidArgumentException("Can't run model in armnn format without a "
41  "built with serialization support.");
42 #endif
43  }
44  else if (modelFormat.find("caffe") != std::string::npos)
45  {
46 #if defined(ARMNN_CAFFE_PARSER)
47 #else
48  throw armnn::InvalidArgumentException("Can't run model in caffe format without a "
49  "built with Caffe parser support.");
50 #endif
51  }
52  else if (modelFormat.find("onnx") != std::string::npos)
53  {
54 #if defined(ARMNN_ONNX_PARSER)
55 #else
56  throw armnn::InvalidArgumentException("Can't run model in onnx format without a "
57  "built with Onnx parser support.");
58 #endif
59  }
60  else if (modelFormat.find("tensorflow") != std::string::npos)
61  {
62 #if defined(ARMNN_TF_PARSER)
63 #else
64  throw armnn::InvalidArgumentException("Can't run model in onnx format without a "
65  "built with Tensorflow parser support.");
66 #endif
67  }
68  else if (modelFormat.find("tflite") != std::string::npos)
69  {
70 #if defined(ARMNN_TF_LITE_PARSER)
71  if (!IsModelBinary(modelFormat))
72  {
73  throw armnn::InvalidArgumentException(fmt::format("Unknown model format: '{}'. Only 'binary' "
74  "format supported for tflite files",
75  modelFormat));
76  }
77 #elif defined(ARMNN_TFLITE_DELEGATE)
78 #else
79  throw armnn::InvalidArgumentException("Can't run model in tflite format without a "
80  "built with Tensorflow Lite parser support.");
81 #endif
82  }
83  else
84  {
85  throw armnn::InvalidArgumentException(fmt::format("Unknown model format: '{}'. "
86  "Please include 'caffe', 'tensorflow', 'tflite' or 'onnx'",
87  modelFormat));
88  }
89 }
+
IsModelBinary
bool IsModelBinary(const std::string &modelFormat)
Definition: ExecuteNetworkParams.cpp:14
+
+
+
+ +

◆ IsModelBinary()

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bool IsModelBinary (const std::string & modelFormat)
+
+ +

Definition at line 14 of file ExecuteNetworkParams.cpp.

+ +

Referenced by CheckModelFormat(), and ExecuteNetworkParams::ValidateParams().

+
15 {
16  // Parse model binary flag from the model-format string we got from the command-line
17  if (modelFormat.find("binary") != std::string::npos)
18  {
19  return true;
20  }
21  else if (modelFormat.find("txt") != std::string::npos || modelFormat.find("text") != std::string::npos)
22  {
23  return false;
24  }
25  else
26  {
27  throw armnn::InvalidArgumentException(fmt::format("Unknown model format: '{}'. "
28  "Please include 'binary' or 'text'",
29  modelFormat));
30  }
31 }
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