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8ad5eb521a
OCL_FP16 MatMul with large batch * Workaround FP16 MatMul with large batch * Fix OCL reinitialization * Higher thresholds for INT8 quantization * Try fix gemm_buffer_NT for half (columns) * Fix GEMM by rows * Add batch dimension to InnerProduct layer test * Fix Test_ONNX_conformance.Layer_Test/test_basic_conv_with_padding * Batch 16 * Replace all vload4 * Version suffix for MobileNetSSD_deploy Caffe model |
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.. | ||
caffe | ||
java | ||
objc | ||
onnx | ||
plugin/openvino | ||
python | ||
tensorflow | ||
tflite | ||
face_detector_accuracy.py | ||
quantize_face_detector.py |