diff options
Diffstat (limited to 'runtime/libs/tflite/src/Diff.cpp')
| -rw-r--r-- | runtime/libs/tflite/src/Diff.cpp | 17 |
1 files changed, 15 insertions, 2 deletions
diff --git a/runtime/libs/tflite/src/Diff.cpp b/runtime/libs/tflite/src/Diff.cpp index 879de0735..9e66bbb5d 100644 --- a/runtime/libs/tflite/src/Diff.cpp +++ b/runtime/libs/tflite/src/Diff.cpp @@ -86,8 +86,8 @@ bool TfLiteInterpMatchApp::compareSingleTensorView(const nnfw::tflite::TensorVie std::vector<nnfw::misc::tensor::Diff<T>> diffs; assert(expected.shape() == obtained.shape()); - using nnfw::misc::tensor::zip; using nnfw::misc::tensor::Index; + using nnfw::misc::tensor::zip; zip(expected.shape(), expected, obtained) << [&](const Index &index, T expected_value, T obtained_value) { @@ -296,6 +296,18 @@ template <> bool RandomGenerator::generate<bool>(void) return dist(_rand); } +template <> int32_t RandomGenerator::generate<int32_t>(void) +{ + // Instead of INT_MAX, 4096 is chosen because int32_t input does not mean + // that the model can have any value in int32_t can hold. + // For example, one_hot operation gets indices as int32_t tensor. + // However, we usually expect it would hold a value in [0..depth). + // In our given model, depth was 10137. + const int int32_random_max = 4096; + std::uniform_int_distribution<> dist(0, int32_random_max); + return dist(_rand); +} + #include "tflite/TensorLogger.h" // // Random Test Runner @@ -615,7 +627,8 @@ RandomTestRunner RandomTestRunner::make(uint32_t seed) param.verbose = nnfw::misc::EnvVar("VERBOSE").asInt(0); param.tolerance = nnfw::misc::EnvVar("TOLERANCE").asInt(1); - ; + param.tensor_logging = nnfw::misc::EnvVar("TENSOR_LOGGING").asBool(false); + param.log_path = nnfw::misc::EnvVar("TENSOR_LOGGING").asString("tensor_log.txt"); return RandomTestRunner{seed, param}; } |