diff --git a/README.md b/README.md index a7a033c82..33c7df02c 100644 --- a/README.md +++ b/README.md @@ -39,8 +39,8 @@ In the table below you can see the performance numbers for a set of models from | TVM FP16 (VM) | 500,03| 63,63| 208,31| 3,11| 24,63| | TVM FP16a32 (GE) | 403,74| 80,46| 260,57| 4,07| 29,6857| | TVM FP16a32 (VM) | 662,15| 94,41| 265,45| 4,11| -| -| TVM FP32 (GE) | 496,67| 80,44| 317,15| 4,22| 35,46| -| TVM FP32 (VM) | 754,33| 95,14| 316,05| 4,28| 42,43| +| TVM FP32 (GE) | 350,85| 80,44| 273,22| 4,22| 35,46| +| TVM FP32 (VM) | 610,92| 95,14| 277,96| 4,28| 42,43| *Virtual Machine has performance degradation only on Non Max Suppression layers, which seems to be a bug, that nevertheless affects the final performance ([issue#15405](https://github.com/apache/tvm/issues/15405)).* @@ -172,4 +172,4 @@ profiling separate OpenCL kernels: kernels on Android device and collect performance metrics. - `OpenCLCPPRunner` is an native application which can be used to run OpenCL - kernels on Android device or on a host and collect performance metrics. + kernels on Android device or on a host and collect performance metrics. \ No newline at end of file diff --git a/logs_gen1/onnx_faster_rcnn.float32.autotvm.log b/logs_gen1/onnx_faster_rcnn.float32.autotvm.log index 8339798d3..ba6088a02 100644 --- a/logs_gen1/onnx_faster_rcnn.float32.autotvm.log +++ b/logs_gen1/onnx_faster_rcnn.float32.autotvm.log @@ -1,39 +1,73 @@ -{"input": ["opencl -keys=adreno,opencl,gpu -device=adreno -max_function_args=128 -max_num_threads=256 -max_shared_memory_per_block=16384 -max_threads_per_block=256 -texture_spatial_limit=16384 -thread_warp_size=1", "conv2d_nchwc.image2d", [["TENSOR", [1, 3, 1200, 1200], "float32"], ["TENSOR", [64, 3, 7, 7], "float32"], [2, 2], [3, 3, 3, 3], [1, 1], "float32"], {}], "config": {"index": 238529, "code_hash": null, "entity": [["tile_fc", "sp", [-1, 1, 16]], ["tile_y", "sp", [-1, 3, 8]], ["tile_x", "sp", [-1, 2, 2]], ["tile_rcc", "sp", [-1, 1]], ["tile_ry", 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