openvino/inference-engine/tests/functional/plugin/shared/models
Mateusz Tabaka db527fff41
Fix performance on resnet50 quantized models (#7670)
* Fix performance on resnet50 quantized models

LP transformations won't work on the model unless the last 4 inputs to FakeQuantize
are constants. In order to meet that requirement, we need to perform constant folding
for those inputs in QuantizeLinear ONNX operator.

Ticket: 65375

* fix "Cannot find blob with name: y" exception during onnx_model_quant_conv_linear

* remove linking with onnx_ngraph_frontend

* fix exclude path
2021-10-13 10:18:37 +03:00
..
max_pool_fq.prototxt Fix performance on resnet50 quantized models (#7670) 2021-10-13 10:18:37 +03:00
max_pool_qdq.prototxt Fix performance on resnet50 quantized models (#7670) 2021-10-13 10:18:37 +03:00