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/OK3568_Linux_fs/kernel/net/ipv4/
H A Dtcp_lp.c87 u32 inference; member
109 lp->inference = 0; in tcp_lp_init()
277 lp->inference = 3 * delta; in tcp_lp_pkts_acked()
280 if (lp->last_drop && (now - lp->last_drop < lp->inference)) in tcp_lp_pkts_acked()
/OK3568_Linux_fs/external/rknn-toolkit2/examples/functions/dynamic_input/
H A Dtest.py89 outputs = rknn.inference(inputs=[img2], data_format=['nchw'])
96 outputs = rknn.inference(inputs=[img3], data_format=['nchw'])
/OK3568_Linux_fs/docs/en/Common/NPU/rknn-toolkit2/
H A Dchangelog-1.4.0.txt93 4）修复了caffe slice丢弃了其中一个输出的inference bug
95 4. 弃置了reorder_channel的config设置，由用户自行保证inference输入数据的channel正确性
H A DRKNNToolKit2_API_Difference_With_Toolkit1-1.4.0.md264 ## rknn.inference
267 inference(inputs,
274 inference(inputs,
/OK3568_Linux_fs/docs/cn/Common/NPU/rknn-toolkit2/
H A Dchangelog-1.4.0.txt93 4）修复了caffe slice丢弃了其中一个输出的inference bug
95 4. 弃置了reorder_channel的config设置，由用户自行保证inference输入数据的channel正确性
H A DRKNNToolKit2_API_Difference_With_Toolkit1-1.4.0.md264 ## rknn.inference
267 inference(inputs,
274 inference(inputs,
/OK3568_Linux_fs/external/rknn-toolkit2/doc/
H A DRKNNToolKit2_API_Difference_With_Toolkit1-1.5.0.md267 ## rknn.inference
270 inference(inputs,
277 inference(inputs,
H A Dchangelog-1.5.0.txt424 4）修复了caffe slice丢弃了其中一个输出的inference bug
426 4. 弃置了reorder_channel的config设置，由用户自行保证inference输入数据的channel正确性
/OK3568_Linux_fs/external/rknpu2/examples/rknn_yolov5_android_apk_demo/
H A DREADME.md16 - JAVA: com.rockchip.gpadc.demo: 读取camera输入，并调用jni进行inference，并将结果显示出来
18 - JNI: 调用rknnrt进行实际inference
/OK3568_Linux_fs/external/rknn-toolkit2/examples/functions/hybrid_quant/
H A Dstep2.py51 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/yocto/meta-openembedded/meta-python/recipes-devtools/python/
H A Dpython3-astroid_2.11.3.bb1 SUMMARY = "An abstract syntax tree for Python with inference support."
/OK3568_Linux_fs/external/rknn-toolkit2/examples/functions/multi_input_test/
H A Dtest.py64 …outputs = rknn.inference(inputs=[img, input2, input3, img_gray], data_format=['nhwc', 'nchw', 'nch…
/OK3568_Linux_fs/external/rknn-toolkit2/examples/tflite/mobilenet_v1_qat/
H A Dtest.py73 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/caffe/mobilenet_v2/
H A Dtest.py73 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/kernel/drivers/misc/habanalabs/
H A DKconfig14 designed to accelerate Deep Learning inference and training workloads.
/OK3568_Linux_fs/external/rknn-toolkit2/examples/functions/model_pruning/
H A Dtest.py90 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/tflite/mobilenet_v1/
H A Dtest.py73 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/functions/batch_size/
H A Dtest.py81 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/functions/mmse/
H A Dtest.py86 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/functions/board_test/
H A Dtest.py100 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/rknn_toolkit_lite2/examples/inference_with_lite/
H A Dtest.py98 outputs = rknn_lite.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/pytorch/resnet18/
H A Dtest.py96 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/pytorch/resnet18_qat/
H A Dtest.py98 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/external/rknn-toolkit2/examples/darknet/yolov3_416x416/
H A Dtest.py70 outputs = rknn.inference(inputs=[img])
/OK3568_Linux_fs/yocto/poky/meta/recipes-support/db/db/
H A D0001-configure-Add-explicit-tag-options-to-libtool-invoca.patch6 This helps cross compile when tag inference via heuristics

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