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path: root/tests/TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp
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2019-04-23IVGCVSW-2657: Model update to fix failing timings test: TfLiteVGG16QuantizedDavid Monahan
Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: I49bd93766f8f3cf41a9471c87c1c61ed1ec6034c
2019-01-15IVGCVSW-2454 Merge together the pluggable backends work (was in aMatteo Martincigh
separate branch) and master * Brings in all the changes done for the pluggable backends * Added sub-graph support and tests * Added precompiled layer support and tests * Moved BackendSettings to a separate file * Removed the backend-specific code * Ported DebugLayer and associated functionality * Included fixes to make those changes work with master Change-Id: Id7028fa7917527b844628d5aff5732e3d94c0488
2018-10-30IVGCVSW-1970 TfLite VGG16: Add Validation.txt for continuous integrationMatthew Bentham
Change-Id: Ib7ea0a0b809bdfe1d705b31a08f42e1b7815b0d2
2018-10-29IVGCVSW-2029 Tweak results handling for batch size 2 testMatthew Bentham
When looking for the top probability, use the 'first' result not the 'second'. This avoids an issue where for batched tests the classification index was reported wrongly. Still doesn't correctly handle multiple results with the exact probabibility, or batched testing, but it's slightly more correct than before. Change-Id: I57d33552754667613e222d9d2037e12c87a96854
2018-10-26IVGCVSW-2029 Fix fully connected layer support in TfLite Parser and ↵Nattapat Chaimanowong
implement test for TfLite VGG16 quantized Change-Id: I2061f62f62684b963fa0f090718f1dcffe5c93ce