+ 2021.01.19
./tensorflow/lite/tools/make/gen/rpi_armv7l/bin 에 빌드된 파일이 존재한다 -_-
왜 이 고생을 했지? ㅠㅠㅠㅠ
./tensorflow/lite/tools/make/build_rpi_lib.sh clean # clean object files
./tensorflow/lite/tools/make/build_rpi_lib.sh -j 16 # run with 16 jobs to leverage more CPU cores
./tensorflow/lite/tools/make/build_rpi_lib.sh label_image # # build label_image binary[링크 : https://www.tensorflow.org/lite/guide/build_rpi]
---
어찌어찌 겨우겨우 libtensorflow-lite.a 를 생성해서
minimal.cc를 빌드해서 돌려보는데 감동...?까진 아니고
아무튼 텐서플로우 lite 자체는 static 한데, minimal.cc는 static 할 수 없는건 무슨 묘미인가...
$ ldd minimal
linux-vdso.so.1 (0x7efc0000)
/usr/lib/arm-linux-gnueabihf/libarmmem-${PLATFORM}.so => /usr/lib/arm-linux-gnueabihf/libarmmem-v7l.so (0x76eef000)
libpthread.so.0 => /lib/arm-linux-gnueabihf/libpthread.so.0 (0x76ea4000)
libdl.so.2 => /lib/arm-linux-gnueabihf/libdl.so.2 (0x76e91000)
libstdc++.so.6 => /lib/arm-linux-gnueabihf/libstdc++.so.6 (0x76d4a000)
libm.so.6 => /lib/arm-linux-gnueabihf/libm.so.6 (0x76cc8000)
libgcc_s.so.1 => /lib/arm-linux-gnueabihf/libgcc_s.so.1 (0x76c9b000)
libc.so.6 => /lib/arm-linux-gnueabihf/libc.so.6 (0x76b4d000)
/lib/ld-linux-armhf.so.3 (0x76f04000)
~/src/tensorflow_src/tensorflow/lite/examples/minimal $ ./minimal 1.tflite
=== Pre-invoke Interpreter State ===
Interpreter has 184 tensors and 64 nodes
Inputs: 175
Outputs: 167 168 169 170
Tensor 0 BoxPredictor_0/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 4332 bytes ( 0.0 MB) 1 19 19 12
Tensor 1 BoxPredictor_0/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 48 bytes ( 0.0 MB) 12
Tensor 2 BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 12 1 1 384
Tensor 3 BoxPredictor_0/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 98553 bytes ( 0.1 MB) 1 19 19 273
Tensor 4 BoxPredictor_0/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 1092 bytes ( 0.0 MB) 273
Tensor 5 BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 104832 bytes ( 0.1 MB) 273 1 1 384
Tensor 6 BoxPredictor_0/Reshape kTfLiteUInt8 kTfLiteArenaRw 4332 bytes ( 0.0 MB) 1 1083 1 4
Tensor 7 BoxPredictor_0/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 98553 bytes ( 0.1 MB) 1 1083 91
Tensor 8 BoxPredictor_0/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 9 BoxPredictor_0/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 10 BoxPredictor_1/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 2400 bytes ( 0.0 MB) 1 10 10 24
Tensor 11 BoxPredictor_1/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 12 BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 18432 bytes ( 0.0 MB) 24 1 1 768
Tensor 13 BoxPredictor_1/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 54600 bytes ( 0.1 MB) 1 10 10 546
Tensor 14 BoxPredictor_1/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 15 BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 419328 bytes ( 0.4 MB) 546 1 1 768
Tensor 16 BoxPredictor_1/Reshape kTfLiteUInt8 kTfLiteArenaRw 2400 bytes ( 0.0 MB) 1 600 1 4
Tensor 17 BoxPredictor_1/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 54600 bytes ( 0.1 MB) 1 600 91
Tensor 18 BoxPredictor_1/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 19 BoxPredictor_1/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 20 BoxPredictor_2/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 600 bytes ( 0.0 MB) 1 5 5 24
Tensor 21 BoxPredictor_2/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 22 BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 9216 bytes ( 0.0 MB) 24 1 1 384
Tensor 23 BoxPredictor_2/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 13650 bytes ( 0.0 MB) 1 5 5 546
Tensor 24 BoxPredictor_2/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 25 BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 209664 bytes ( 0.2 MB) 546 1 1 384
Tensor 26 BoxPredictor_2/Reshape kTfLiteUInt8 kTfLiteArenaRw 600 bytes ( 0.0 MB) 1 150 1 4
Tensor 27 BoxPredictor_2/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 13650 bytes ( 0.0 MB) 1 150 91
Tensor 28 BoxPredictor_2/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 29 BoxPredictor_2/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 30 BoxPredictor_3/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 216 bytes ( 0.0 MB) 1 3 3 24
Tensor 31 BoxPredictor_3/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 32 BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 24 1 1 192
Tensor 33 BoxPredictor_3/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 4914 bytes ( 0.0 MB) 1 3 3 546
Tensor 34 BoxPredictor_3/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 35 BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 104832 bytes ( 0.1 MB) 546 1 1 192
Tensor 36 BoxPredictor_3/Reshape kTfLiteUInt8 kTfLiteArenaRw 216 bytes ( 0.0 MB) 1 54 1 4
Tensor 37 BoxPredictor_3/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 4914 bytes ( 0.0 MB) 1 54 91
Tensor 38 BoxPredictor_3/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 39 BoxPredictor_3/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 40 BoxPredictor_4/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 96 bytes ( 0.0 MB) 1 2 2 24
Tensor 41 BoxPredictor_4/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 42 BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 24 1 1 192
Tensor 43 BoxPredictor_4/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 2184 bytes ( 0.0 MB) 1 2 2 546
Tensor 44 BoxPredictor_4/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 45 BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 104832 bytes ( 0.1 MB) 546 1 1 192
Tensor 46 BoxPredictor_4/Reshape kTfLiteUInt8 kTfLiteArenaRw 96 bytes ( 0.0 MB) 1 24 1 4
Tensor 47 BoxPredictor_4/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 2184 bytes ( 0.0 MB) 1 24 91
Tensor 48 BoxPredictor_4/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 49 BoxPredictor_4/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 50 BoxPredictor_5/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 24 bytes ( 0.0 MB) 1 1 1 24
Tensor 51 BoxPredictor_5/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 52 BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 2304 bytes ( 0.0 MB) 24 1 1 96
Tensor 53 BoxPredictor_5/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 546 bytes ( 0.0 MB) 1 1 1 546
Tensor 54 BoxPredictor_5/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 55 BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 52416 bytes ( 0.0 MB) 546 1 1 96
Tensor 56 BoxPredictor_5/Reshape kTfLiteUInt8 kTfLiteArenaRw 24 bytes ( 0.0 MB) 1 6 1 4
Tensor 57 BoxPredictor_5/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 546 bytes ( 0.0 MB) 1 6 91
Tensor 58 BoxPredictor_5/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 59 BoxPredictor_5/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 60 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 61 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Relu6 kTfLiteUInt8 kTfLiteArenaRw 19200 bytes ( 0.0 MB) 1 10 10 192
Tensor 62 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 192 1 1 768
Tensor 63 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 64 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Relu6 kTfLiteUInt8 kTfLiteArenaRw 2400 bytes ( 0.0 MB) 1 5 5 96
Tensor 65 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 36864 bytes ( 0.0 MB) 96 1 1 384
Tensor 66 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 67 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Relu6 kTfLiteUInt8 kTfLiteArenaRw 864 bytes ( 0.0 MB) 1 3 3 96
Tensor 68 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 18432 bytes ( 0.0 MB) 96 1 1 192
Tensor 69 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 192 bytes ( 0.0 MB) 48
Tensor 70 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Relu6 kTfLiteUInt8 kTfLiteArenaRw 192 bytes ( 0.0 MB) 1 2 2 48
Tensor 71 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 9216 bytes ( 0.0 MB) 48 1 1 192
Tensor 72 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 73 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Relu6 kTfLiteUInt8 kTfLiteArenaRw 9600 bytes ( 0.0 MB) 1 5 5 384
Tensor 74 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 663552 bytes ( 0.6 MB) 384 3 3 192
Tensor 75 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 76 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Relu6 kTfLiteUInt8 kTfLiteArenaRw 1728 bytes ( 0.0 MB) 1 3 3 192
Tensor 77 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 165888 bytes ( 0.2 MB) 192 3 3 96
Tensor 78 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 79 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Relu6 kTfLiteUInt8 kTfLiteArenaRw 768 bytes ( 0.0 MB) 1 2 2 192
Tensor 80 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 165888 bytes ( 0.2 MB) 192 3 3 96
Tensor 81 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 82 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Relu6 kTfLiteUInt8 kTfLiteArenaRw 96 bytes ( 0.0 MB) 1 1 1 96
Tensor 83 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 41472 bytes ( 0.0 MB) 96 3 3 48
Tensor 84 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 85 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 150 150 24
Tensor 86 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 648 bytes ( 0.0 MB) 24 3 3 3
Tensor 87 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 88 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 89 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 90 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 91 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 92 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 93 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 94 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 95 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 96 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 97 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 98 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 99 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 38400 bytes ( 0.0 MB) 1 10 10 384
Tensor 100 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 101 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 102 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 3072 bytes ( 0.0 MB) 768
Tensor 103 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 76800 bytes ( 0.1 MB) 1 10 10 768
Tensor 104 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 294912 bytes ( 0.3 MB) 768 1 1 384
Tensor 105 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 76800 bytes ( 0.1 MB) 1 10 10 768
Tensor 106 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 3072 bytes ( 0.0 MB) 768
Tensor 107 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 6912 bytes ( 0.0 MB) 1 3 3 768
Tensor 108 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 3072 bytes ( 0.0 MB) 768
Tensor 109 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 76800 bytes ( 0.1 MB) 1 10 10 768
Tensor 110 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 589824 bytes ( 0.6 MB) 768 1 1 768
Tensor 111 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 150 150 24
Tensor 112 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 113 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 216 bytes ( 0.0 MB) 1 3 3 24
Tensor 114 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 192 bytes ( 0.0 MB) 48
Tensor 115 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 1080000 bytes ( 1.0 MB) 1 150 150 48
Tensor 116 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 1152 bytes ( 0.0 MB) 48 1 1 24
Tensor 117 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 270000 bytes ( 0.3 MB) 1 75 75 48
Tensor 118 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 192 bytes ( 0.0 MB) 48
Tensor 119 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 432 bytes ( 0.0 MB) 1 3 3 48
Tensor 120 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 121 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 75 75 96
Tensor 122 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 96 1 1 48
Tensor 123 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 75 75 96
Tensor 124 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 125 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 864 bytes ( 0.0 MB) 1 3 3 96
Tensor 126 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 127 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 75 75 96
Tensor 128 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 9216 bytes ( 0.0 MB) 96 1 1 96
Tensor 129 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 38 38 96
Tensor 130 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 131 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 864 bytes ( 0.0 MB) 1 3 3 96
Tensor 132 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 133 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 277248 bytes ( 0.3 MB) 1 38 38 192
Tensor 134 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 18432 bytes ( 0.0 MB) 192 1 1 96
Tensor 135 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 277248 bytes ( 0.3 MB) 1 38 38 192
Tensor 136 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 137 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 1728 bytes ( 0.0 MB) 1 3 3 192
Tensor 138 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 139 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 277248 bytes ( 0.3 MB) 1 38 38 192
Tensor 140 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 36864 bytes ( 0.0 MB) 192 1 1 192
Tensor 141 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 69312 bytes ( 0.1 MB) 1 19 19 192
Tensor 142 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 143 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 1728 bytes ( 0.0 MB) 1 3 3 192
Tensor 144 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 145 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 146 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 73728 bytes ( 0.1 MB) 384 1 1 192
Tensor 147 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 148 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 149 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 150 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 151 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 152 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 153 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 154 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 155 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 156 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 157 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 158 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 159 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 160 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 161 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 162 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 163 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 164 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 165 Squeeze kTfLiteUInt8 kTfLiteArenaRw 7668 bytes ( 0.0 MB) 1 1917 4
Tensor 166 Squeeze_shape kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 167 TFLite_Detection_PostProcess kTfLiteFloat32 kTfLiteArenaRw 160 bytes ( 0.0 MB) 1 10 4
Tensor 168 TFLite_Detection_PostProcess:1 kTfLiteFloat32 kTfLiteArenaRw 40 bytes ( 0.0 MB) 1 10
Tensor 169 TFLite_Detection_PostProcess:2 kTfLiteFloat32 kTfLiteArenaRw 40 bytes ( 0.0 MB) 1 10
Tensor 170 TFLite_Detection_PostProcess:3 kTfLiteFloat32 kTfLiteArenaRw 4 bytes ( 0.0 MB) 1
Tensor 171 anchors kTfLiteUInt8 kTfLiteMmapRo 7668 bytes ( 0.0 MB) 1917 4
Tensor 172 concat kTfLiteUInt8 kTfLiteArenaRw 7668 bytes ( 0.0 MB) 1 1917 1 4
Tensor 173 concat_1 kTfLiteUInt8 kTfLiteArenaRw 174447 bytes ( 0.2 MB) 1 1917 91
Tensor 174 convert_scores kTfLiteUInt8 kTfLiteArenaRw 174447 bytes ( 0.2 MB) 1 1917 91
Tensor 175 normalized_input_image_tensor kTfLiteUInt8 kTfLiteArenaRw 270000 bytes ( 0.3 MB) 1 300 300 3
Tensor 176 (null) kTfLiteFloat32 kTfLiteArenaRw 30672 bytes ( 0.0 MB) 1917 4
Tensor 177 (null) kTfLiteFloat32 kTfLiteArenaRw 697788 bytes ( 0.7 MB) 1917 91
Tensor 178 (null) kTfLiteUInt8 kTfLiteArenaRw 1917 bytes ( 0.0 MB) 1917
Tensor 179 (null) kTfLiteUInt8 kTfLiteArenaRw 607500 bytes ( 0.6 MB) 1 150 150 27
Tensor 180 (null) kTfLiteUInt8 kTfLiteArenaRw 43200 bytes ( 0.0 MB) 1 5 5 1728
Tensor 181 (null) kTfLiteUInt8 kTfLiteArenaRw 7776 bytes ( 0.0 MB) 1 3 3 864
Tensor 182 (null) kTfLiteUInt8 kTfLiteArenaRw 3456 bytes ( 0.0 MB) 1 2 2 864
Tensor 183 (null) kTfLiteUInt8 kTfLiteArenaRw 432 bytes ( 0.0 MB) 1 1 1 432
Node 0 Operator Builtin Code 3 CONV_2D
Inputs: 175 86 84
Outputs: 85
Temporaries: 179
Node 1 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 85 113 112
Outputs: 111
Node 2 Operator Builtin Code 3 CONV_2D
Inputs: 111 116 114
Outputs: 115
Node 3 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 115 119 118
Outputs: 117
Node 4 Operator Builtin Code 3 CONV_2D
Inputs: 117 122 120
Outputs: 121
Node 5 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 121 125 124
Outputs: 123
Node 6 Operator Builtin Code 3 CONV_2D
Inputs: 123 128 126
Outputs: 127
Node 7 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 127 131 130
Outputs: 129
Node 8 Operator Builtin Code 3 CONV_2D
Inputs: 129 134 132
Outputs: 133
Node 9 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 133 137 136
Outputs: 135
Node 10 Operator Builtin Code 3 CONV_2D
Inputs: 135 140 138
Outputs: 139
Node 11 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 139 143 142
Outputs: 141
Node 12 Operator Builtin Code 3 CONV_2D
Inputs: 141 146 144
Outputs: 145
Node 13 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 145 149 148
Outputs: 147
Node 14 Operator Builtin Code 3 CONV_2D
Inputs: 147 152 150
Outputs: 151
Node 15 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 151 155 154
Outputs: 153
Node 16 Operator Builtin Code 3 CONV_2D
Inputs: 153 158 156
Outputs: 157
Node 17 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 157 161 160
Outputs: 159
Node 18 Operator Builtin Code 3 CONV_2D
Inputs: 159 164 162
Outputs: 163
Node 19 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 163 89 88
Outputs: 87
Node 20 Operator Builtin Code 3 CONV_2D
Inputs: 87 92 90
Outputs: 91
Node 21 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 91 95 94
Outputs: 93
Node 22 Operator Builtin Code 3 CONV_2D
Inputs: 93 98 96
Outputs: 97
Node 23 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 97 101 100
Outputs: 99
Node 24 Operator Builtin Code 3 CONV_2D
Inputs: 99 104 102
Outputs: 103
Node 25 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 103 107 106
Outputs: 105
Node 26 Operator Builtin Code 3 CONV_2D
Inputs: 105 110 108
Outputs: 109
Node 27 Operator Builtin Code 3 CONV_2D
Inputs: 109 62 60
Outputs: 61
Node 28 Operator Builtin Code 3 CONV_2D
Inputs: 61 74 72
Outputs: 73
Temporaries: 180
Node 29 Operator Builtin Code 3 CONV_2D
Inputs: 73 65 63
Outputs: 64
Node 30 Operator Builtin Code 3 CONV_2D
Inputs: 64 77 75
Outputs: 76
Temporaries: 181
Node 31 Operator Builtin Code 3 CONV_2D
Inputs: 76 68 66
Outputs: 67
Node 32 Operator Builtin Code 3 CONV_2D
Inputs: 67 80 78
Outputs: 79
Temporaries: 182
Node 33 Operator Builtin Code 3 CONV_2D
Inputs: 79 71 69
Outputs: 70
Node 34 Operator Builtin Code 3 CONV_2D
Inputs: 70 83 81
Outputs: 82
Temporaries: 183
Node 35 Operator Builtin Code 3 CONV_2D
Inputs: 97 2 1
Outputs: 0
Node 36 Operator Builtin Code 22 RESHAPE
Inputs: 0 8
Outputs: 6
Node 37 Operator Builtin Code 3 CONV_2D
Inputs: 97 5 4
Outputs: 3
Node 38 Operator Builtin Code 22 RESHAPE
Inputs: 3 9
Outputs: 7
Node 39 Operator Builtin Code 3 CONV_2D
Inputs: 109 12 11
Outputs: 10
Node 40 Operator Builtin Code 22 RESHAPE
Inputs: 10 18
Outputs: 16
Node 41 Operator Builtin Code 3 CONV_2D
Inputs: 109 15 14
Outputs: 13
Node 42 Operator Builtin Code 22 RESHAPE
Inputs: 13 19
Outputs: 17
Node 43 Operator Builtin Code 3 CONV_2D
Inputs: 73 22 21
Outputs: 20
Node 44 Operator Builtin Code 22 RESHAPE
Inputs: 20 28
Outputs: 26
Node 45 Operator Builtin Code 3 CONV_2D
Inputs: 73 25 24
Outputs: 23
Node 46 Operator Builtin Code 22 RESHAPE
Inputs: 23 29
Outputs: 27
Node 47 Operator Builtin Code 3 CONV_2D
Inputs: 76 32 31
Outputs: 30
Node 48 Operator Builtin Code 22 RESHAPE
Inputs: 30 38
Outputs: 36
Node 49 Operator Builtin Code 3 CONV_2D
Inputs: 76 35 34
Outputs: 33
Node 50 Operator Builtin Code 22 RESHAPE
Inputs: 33 39
Outputs: 37
Node 51 Operator Builtin Code 3 CONV_2D
Inputs: 79 42 41
Outputs: 40
Node 52 Operator Builtin Code 22 RESHAPE
Inputs: 40 48
Outputs: 46
Node 53 Operator Builtin Code 3 CONV_2D
Inputs: 79 45 44
Outputs: 43
Node 54 Operator Builtin Code 22 RESHAPE
Inputs: 43 49
Outputs: 47
Node 55 Operator Builtin Code 3 CONV_2D
Inputs: 82 52 51
Outputs: 50
Node 56 Operator Builtin Code 22 RESHAPE
Inputs: 50 58
Outputs: 56
Node 57 Operator Builtin Code 2 CONCATENATION
Inputs: 6 16 26 36 46 56
Outputs: 172
Node 58 Operator Builtin Code 22 RESHAPE
Inputs: 172 166
Outputs: 165
Node 59 Operator Builtin Code 3 CONV_2D
Inputs: 82 55 54
Outputs: 53
Node 60 Operator Builtin Code 22 RESHAPE
Inputs: 53 59
Outputs: 57
Node 61 Operator Builtin Code 2 CONCATENATION
Inputs: 7 17 27 37 47 57
Outputs: 173
Node 62 Operator Builtin Code 14 LOGISTIC
Inputs: 173
Outputs: 174
Node 63 Operator Custom Name TFLite_Detection_PostProcess
Inputs: 165 174 171
Outputs: 167 168 169 170
Temporaries: 176 177 178
=== Post-invoke Interpreter State ===
Interpreter has 184 tensors and 64 nodes
Inputs: 175
Outputs: 167 168 169 170
Tensor 0 BoxPredictor_0/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 4332 bytes ( 0.0 MB) 1 19 19 12
Tensor 1 BoxPredictor_0/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 48 bytes ( 0.0 MB) 12
Tensor 2 BoxPredictor_0/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 12 1 1 384
Tensor 3 BoxPredictor_0/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 98553 bytes ( 0.1 MB) 1 19 19 273
Tensor 4 BoxPredictor_0/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 1092 bytes ( 0.0 MB) 273
Tensor 5 BoxPredictor_0/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 104832 bytes ( 0.1 MB) 273 1 1 384
Tensor 6 BoxPredictor_0/Reshape kTfLiteUInt8 kTfLiteArenaRw 4332 bytes ( 0.0 MB) 1 1083 1 4
Tensor 7 BoxPredictor_0/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 98553 bytes ( 0.1 MB) 1 1083 91
Tensor 8 BoxPredictor_0/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 9 BoxPredictor_0/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 10 BoxPredictor_1/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 2400 bytes ( 0.0 MB) 1 10 10 24
Tensor 11 BoxPredictor_1/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 12 BoxPredictor_1/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 18432 bytes ( 0.0 MB) 24 1 1 768
Tensor 13 BoxPredictor_1/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 54600 bytes ( 0.1 MB) 1 10 10 546
Tensor 14 BoxPredictor_1/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 15 BoxPredictor_1/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 419328 bytes ( 0.4 MB) 546 1 1 768
Tensor 16 BoxPredictor_1/Reshape kTfLiteUInt8 kTfLiteArenaRw 2400 bytes ( 0.0 MB) 1 600 1 4
Tensor 17 BoxPredictor_1/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 54600 bytes ( 0.1 MB) 1 600 91
Tensor 18 BoxPredictor_1/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 19 BoxPredictor_1/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 20 BoxPredictor_2/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 600 bytes ( 0.0 MB) 1 5 5 24
Tensor 21 BoxPredictor_2/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 22 BoxPredictor_2/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 9216 bytes ( 0.0 MB) 24 1 1 384
Tensor 23 BoxPredictor_2/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 13650 bytes ( 0.0 MB) 1 5 5 546
Tensor 24 BoxPredictor_2/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 25 BoxPredictor_2/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 209664 bytes ( 0.2 MB) 546 1 1 384
Tensor 26 BoxPredictor_2/Reshape kTfLiteUInt8 kTfLiteArenaRw 600 bytes ( 0.0 MB) 1 150 1 4
Tensor 27 BoxPredictor_2/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 13650 bytes ( 0.0 MB) 1 150 91
Tensor 28 BoxPredictor_2/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 29 BoxPredictor_2/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 30 BoxPredictor_3/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 216 bytes ( 0.0 MB) 1 3 3 24
Tensor 31 BoxPredictor_3/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 32 BoxPredictor_3/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 24 1 1 192
Tensor 33 BoxPredictor_3/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 4914 bytes ( 0.0 MB) 1 3 3 546
Tensor 34 BoxPredictor_3/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 35 BoxPredictor_3/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 104832 bytes ( 0.1 MB) 546 1 1 192
Tensor 36 BoxPredictor_3/Reshape kTfLiteUInt8 kTfLiteArenaRw 216 bytes ( 0.0 MB) 1 54 1 4
Tensor 37 BoxPredictor_3/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 4914 bytes ( 0.0 MB) 1 54 91
Tensor 38 BoxPredictor_3/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 39 BoxPredictor_3/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 40 BoxPredictor_4/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 96 bytes ( 0.0 MB) 1 2 2 24
Tensor 41 BoxPredictor_4/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 42 BoxPredictor_4/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 24 1 1 192
Tensor 43 BoxPredictor_4/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 2184 bytes ( 0.0 MB) 1 2 2 546
Tensor 44 BoxPredictor_4/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 45 BoxPredictor_4/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 104832 bytes ( 0.1 MB) 546 1 1 192
Tensor 46 BoxPredictor_4/Reshape kTfLiteUInt8 kTfLiteArenaRw 96 bytes ( 0.0 MB) 1 24 1 4
Tensor 47 BoxPredictor_4/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 2184 bytes ( 0.0 MB) 1 24 91
Tensor 48 BoxPredictor_4/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 49 BoxPredictor_4/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 50 BoxPredictor_5/BoxEncodingPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 24 bytes ( 0.0 MB) 1 1 1 24
Tensor 51 BoxPredictor_5/BoxEncodingPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 52 BoxPredictor_5/BoxEncodingPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 2304 bytes ( 0.0 MB) 24 1 1 96
Tensor 53 BoxPredictor_5/ClassPredictor/BiasAdd kTfLiteUInt8 kTfLiteArenaRw 546 bytes ( 0.0 MB) 1 1 1 546
Tensor 54 BoxPredictor_5/ClassPredictor/Conv2D_bias kTfLiteInt32 kTfLiteMmapRo 2184 bytes ( 0.0 MB) 546
Tensor 55 BoxPredictor_5/ClassPredictor/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 52416 bytes ( 0.0 MB) 546 1 1 96
Tensor 56 BoxPredictor_5/Reshape kTfLiteUInt8 kTfLiteArenaRw 24 bytes ( 0.0 MB) 1 6 1 4
Tensor 57 BoxPredictor_5/Reshape_1 kTfLiteUInt8 kTfLiteArenaRw 546 bytes ( 0.0 MB) 1 6 91
Tensor 58 BoxPredictor_5/stack kTfLiteInt32 kTfLiteMmapRo 16 bytes ( 0.0 MB) 4
Tensor 59 BoxPredictor_5/stack_1 kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 60 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 61 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/Relu6 kTfLiteUInt8 kTfLiteArenaRw 19200 bytes ( 0.0 MB) 1 10 10 192
Tensor 62 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_2_1x1_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 192 1 1 768
Tensor 63 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 64 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/Relu6 kTfLiteUInt8 kTfLiteArenaRw 2400 bytes ( 0.0 MB) 1 5 5 96
Tensor 65 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_3_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 36864 bytes ( 0.0 MB) 96 1 1 384
Tensor 66 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 67 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/Relu6 kTfLiteUInt8 kTfLiteArenaRw 864 bytes ( 0.0 MB) 1 3 3 96
Tensor 68 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_4_1x1_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 18432 bytes ( 0.0 MB) 96 1 1 192
Tensor 69 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 192 bytes ( 0.0 MB) 48
Tensor 70 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/Relu6 kTfLiteUInt8 kTfLiteArenaRw 192 bytes ( 0.0 MB) 1 2 2 48
Tensor 71 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_1_Conv2d_5_1x1_48/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 9216 bytes ( 0.0 MB) 48 1 1 192
Tensor 72 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 73 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/Relu6 kTfLiteUInt8 kTfLiteArenaRw 9600 bytes ( 0.0 MB) 1 5 5 384
Tensor 74 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_2_3x3_s2_384/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 663552 bytes ( 0.6 MB) 384 3 3 192
Tensor 75 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 76 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/Relu6 kTfLiteUInt8 kTfLiteArenaRw 1728 bytes ( 0.0 MB) 1 3 3 192
Tensor 77 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_3_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 165888 bytes ( 0.2 MB) 192 3 3 96
Tensor 78 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 79 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/Relu6 kTfLiteUInt8 kTfLiteArenaRw 768 bytes ( 0.0 MB) 1 2 2 192
Tensor 80 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_4_3x3_s2_192/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 165888 bytes ( 0.2 MB) 192 3 3 96
Tensor 81 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 82 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/Relu6 kTfLiteUInt8 kTfLiteArenaRw 96 bytes ( 0.0 MB) 1 1 1 96
Tensor 83 FeatureExtractor/MobilenetV1/Conv2d_13_pointwise_2_Conv2d_5_3x3_s2_96/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 41472 bytes ( 0.0 MB) 96 3 3 48
Tensor 84 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 85 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 150 150 24
Tensor 86 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_0/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 648 bytes ( 0.0 MB) 24 3 3 3
Tensor 87 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 88 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 89 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 90 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 91 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 92 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_10_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 93 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 94 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 95 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 96 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 97 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 98 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_11_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 99 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 38400 bytes ( 0.0 MB) 1 10 10 384
Tensor 100 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 101 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 102 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 3072 bytes ( 0.0 MB) 768
Tensor 103 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 76800 bytes ( 0.1 MB) 1 10 10 768
Tensor 104 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_12_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 294912 bytes ( 0.3 MB) 768 1 1 384
Tensor 105 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 76800 bytes ( 0.1 MB) 1 10 10 768
Tensor 106 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 3072 bytes ( 0.0 MB) 768
Tensor 107 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 6912 bytes ( 0.0 MB) 1 3 3 768
Tensor 108 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 3072 bytes ( 0.0 MB) 768
Tensor 109 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 76800 bytes ( 0.1 MB) 1 10 10 768
Tensor 110 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_13_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 589824 bytes ( 0.6 MB) 768 1 1 768
Tensor 111 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 150 150 24
Tensor 112 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 96 bytes ( 0.0 MB) 24
Tensor 113 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 216 bytes ( 0.0 MB) 1 3 3 24
Tensor 114 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 192 bytes ( 0.0 MB) 48
Tensor 115 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 1080000 bytes ( 1.0 MB) 1 150 150 48
Tensor 116 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_1_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 1152 bytes ( 0.0 MB) 48 1 1 24
Tensor 117 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 270000 bytes ( 0.3 MB) 1 75 75 48
Tensor 118 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 192 bytes ( 0.0 MB) 48
Tensor 119 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 432 bytes ( 0.0 MB) 1 3 3 48
Tensor 120 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 121 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 75 75 96
Tensor 122 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_2_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 4608 bytes ( 0.0 MB) 96 1 1 48
Tensor 123 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 75 75 96
Tensor 124 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 125 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 864 bytes ( 0.0 MB) 1 3 3 96
Tensor 126 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 127 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 540000 bytes ( 0.5 MB) 1 75 75 96
Tensor 128 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_3_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 9216 bytes ( 0.0 MB) 96 1 1 96
Tensor 129 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 38 38 96
Tensor 130 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 384 bytes ( 0.0 MB) 96
Tensor 131 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 864 bytes ( 0.0 MB) 1 3 3 96
Tensor 132 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 133 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 277248 bytes ( 0.3 MB) 1 38 38 192
Tensor 134 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_4_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 18432 bytes ( 0.0 MB) 192 1 1 96
Tensor 135 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 277248 bytes ( 0.3 MB) 1 38 38 192
Tensor 136 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 137 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 1728 bytes ( 0.0 MB) 1 3 3 192
Tensor 138 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 139 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 277248 bytes ( 0.3 MB) 1 38 38 192
Tensor 140 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_5_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 36864 bytes ( 0.0 MB) 192 1 1 192
Tensor 141 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 69312 bytes ( 0.1 MB) 1 19 19 192
Tensor 142 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 768 bytes ( 0.0 MB) 192
Tensor 143 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 1728 bytes ( 0.0 MB) 1 3 3 192
Tensor 144 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 145 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 146 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_6_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 73728 bytes ( 0.1 MB) 384 1 1 192
Tensor 147 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 148 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 149 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 150 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 151 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 152 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_7_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 153 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 154 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 155 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 156 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 157 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 158 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_8_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 159 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 160 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/depthwise_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 161 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_depthwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 3456 bytes ( 0.0 MB) 1 3 3 384
Tensor 162 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Conv2D_Fold_bias kTfLiteInt32 kTfLiteMmapRo 1536 bytes ( 0.0 MB) 384
Tensor 163 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/Relu6 kTfLiteUInt8 kTfLiteArenaRw 138624 bytes ( 0.1 MB) 1 19 19 384
Tensor 164 FeatureExtractor/MobilenetV1/MobilenetV1/Conv2d_9_pointwise/weights_quant/FakeQuantWithMinMaxVars kTfLiteUInt8 kTfLiteMmapRo 147456 bytes ( 0.1 MB) 384 1 1 384
Tensor 165 Squeeze kTfLiteUInt8 kTfLiteArenaRw 7668 bytes ( 0.0 MB) 1 1917 4
Tensor 166 Squeeze_shape kTfLiteInt32 kTfLiteMmapRo 12 bytes ( 0.0 MB) 3
Tensor 167 TFLite_Detection_PostProcess kTfLiteFloat32 kTfLiteArenaRw 160 bytes ( 0.0 MB) 1 10 4
Tensor 168 TFLite_Detection_PostProcess:1 kTfLiteFloat32 kTfLiteArenaRw 40 bytes ( 0.0 MB) 1 10
Tensor 169 TFLite_Detection_PostProcess:2 kTfLiteFloat32 kTfLiteArenaRw 40 bytes ( 0.0 MB) 1 10
Tensor 170 TFLite_Detection_PostProcess:3 kTfLiteFloat32 kTfLiteArenaRw 4 bytes ( 0.0 MB) 1
Tensor 171 anchors kTfLiteUInt8 kTfLiteMmapRo 7668 bytes ( 0.0 MB) 1917 4
Tensor 172 concat kTfLiteUInt8 kTfLiteArenaRw 7668 bytes ( 0.0 MB) 1 1917 1 4
Tensor 173 concat_1 kTfLiteUInt8 kTfLiteArenaRw 174447 bytes ( 0.2 MB) 1 1917 91
Tensor 174 convert_scores kTfLiteUInt8 kTfLiteArenaRw 174447 bytes ( 0.2 MB) 1 1917 91
Tensor 175 normalized_input_image_tensor kTfLiteUInt8 kTfLiteArenaRw 270000 bytes ( 0.3 MB) 1 300 300 3
Tensor 176 (null) kTfLiteFloat32 kTfLiteArenaRw 30672 bytes ( 0.0 MB) 1917 4
Tensor 177 (null) kTfLiteFloat32 kTfLiteArenaRw 697788 bytes ( 0.7 MB) 1917 91
Tensor 178 (null) kTfLiteUInt8 kTfLiteArenaRw 1917 bytes ( 0.0 MB) 1917
Tensor 179 (null) kTfLiteUInt8 kTfLiteArenaRw 607500 bytes ( 0.6 MB) 1 150 150 27
Tensor 180 (null) kTfLiteUInt8 kTfLiteArenaRw 43200 bytes ( 0.0 MB) 1 5 5 1728
Tensor 181 (null) kTfLiteUInt8 kTfLiteArenaRw 7776 bytes ( 0.0 MB) 1 3 3 864
Tensor 182 (null) kTfLiteUInt8 kTfLiteArenaRw 3456 bytes ( 0.0 MB) 1 2 2 864
Tensor 183 (null) kTfLiteUInt8 kTfLiteArenaRw 432 bytes ( 0.0 MB) 1 1 1 432
Node 0 Operator Builtin Code 3 CONV_2D
Inputs: 175 86 84
Outputs: 85
Temporaries: 179
Node 1 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 85 113 112
Outputs: 111
Node 2 Operator Builtin Code 3 CONV_2D
Inputs: 111 116 114
Outputs: 115
Node 3 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 115 119 118
Outputs: 117
Node 4 Operator Builtin Code 3 CONV_2D
Inputs: 117 122 120
Outputs: 121
Node 5 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 121 125 124
Outputs: 123
Node 6 Operator Builtin Code 3 CONV_2D
Inputs: 123 128 126
Outputs: 127
Node 7 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 127 131 130
Outputs: 129
Node 8 Operator Builtin Code 3 CONV_2D
Inputs: 129 134 132
Outputs: 133
Node 9 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 133 137 136
Outputs: 135
Node 10 Operator Builtin Code 3 CONV_2D
Inputs: 135 140 138
Outputs: 139
Node 11 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 139 143 142
Outputs: 141
Node 12 Operator Builtin Code 3 CONV_2D
Inputs: 141 146 144
Outputs: 145
Node 13 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 145 149 148
Outputs: 147
Node 14 Operator Builtin Code 3 CONV_2D
Inputs: 147 152 150
Outputs: 151
Node 15 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 151 155 154
Outputs: 153
Node 16 Operator Builtin Code 3 CONV_2D
Inputs: 153 158 156
Outputs: 157
Node 17 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 157 161 160
Outputs: 159
Node 18 Operator Builtin Code 3 CONV_2D
Inputs: 159 164 162
Outputs: 163
Node 19 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 163 89 88
Outputs: 87
Node 20 Operator Builtin Code 3 CONV_2D
Inputs: 87 92 90
Outputs: 91
Node 21 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 91 95 94
Outputs: 93
Node 22 Operator Builtin Code 3 CONV_2D
Inputs: 93 98 96
Outputs: 97
Node 23 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 97 101 100
Outputs: 99
Node 24 Operator Builtin Code 3 CONV_2D
Inputs: 99 104 102
Outputs: 103
Node 25 Operator Builtin Code 4 DEPTHWISE_CONV_2D
Inputs: 103 107 106
Outputs: 105
Node 26 Operator Builtin Code 3 CONV_2D
Inputs: 105 110 108
Outputs: 109
Node 27 Operator Builtin Code 3 CONV_2D
Inputs: 109 62 60
Outputs: 61
Node 28 Operator Builtin Code 3 CONV_2D
Inputs: 61 74 72
Outputs: 73
Temporaries: 180
Node 29 Operator Builtin Code 3 CONV_2D
Inputs: 73 65 63
Outputs: 64
Node 30 Operator Builtin Code 3 CONV_2D
Inputs: 64 77 75
Outputs: 76
Temporaries: 181
Node 31 Operator Builtin Code 3 CONV_2D
Inputs: 76 68 66
Outputs: 67
Node 32 Operator Builtin Code 3 CONV_2D
Inputs: 67 80 78
Outputs: 79
Temporaries: 182
Node 33 Operator Builtin Code 3 CONV_2D
Inputs: 79 71 69
Outputs: 70
Node 34 Operator Builtin Code 3 CONV_2D
Inputs: 70 83 81
Outputs: 82
Temporaries: 183
Node 35 Operator Builtin Code 3 CONV_2D
Inputs: 97 2 1
Outputs: 0
Node 36 Operator Builtin Code 22 RESHAPE
Inputs: 0 8
Outputs: 6
Node 37 Operator Builtin Code 3 CONV_2D
Inputs: 97 5 4
Outputs: 3
Node 38 Operator Builtin Code 22 RESHAPE
Inputs: 3 9
Outputs: 7
Node 39 Operator Builtin Code 3 CONV_2D
Inputs: 109 12 11
Outputs: 10
Node 40 Operator Builtin Code 22 RESHAPE
Inputs: 10 18
Outputs: 16
Node 41 Operator Builtin Code 3 CONV_2D
Inputs: 109 15 14
Outputs: 13
Node 42 Operator Builtin Code 22 RESHAPE
Inputs: 13 19
Outputs: 17
Node 43 Operator Builtin Code 3 CONV_2D
Inputs: 73 22 21
Outputs: 20
Node 44 Operator Builtin Code 22 RESHAPE
Inputs: 20 28
Outputs: 26
Node 45 Operator Builtin Code 3 CONV_2D
Inputs: 73 25 24
Outputs: 23
Node 46 Operator Builtin Code 22 RESHAPE
Inputs: 23 29
Outputs: 27
Node 47 Operator Builtin Code 3 CONV_2D
Inputs: 76 32 31
Outputs: 30
Node 48 Operator Builtin Code 22 RESHAPE
Inputs: 30 38
Outputs: 36
Node 49 Operator Builtin Code 3 CONV_2D
Inputs: 76 35 34
Outputs: 33
Node 50 Operator Builtin Code 22 RESHAPE
Inputs: 33 39
Outputs: 37
Node 51 Operator Builtin Code 3 CONV_2D
Inputs: 79 42 41
Outputs: 40
Node 52 Operator Builtin Code 22 RESHAPE
Inputs: 40 48
Outputs: 46
Node 53 Operator Builtin Code 3 CONV_2D
Inputs: 79 45 44
Outputs: 43
Node 54 Operator Builtin Code 22 RESHAPE
Inputs: 43 49
Outputs: 47
Node 55 Operator Builtin Code 3 CONV_2D
Inputs: 82 52 51
Outputs: 50
Node 56 Operator Builtin Code 22 RESHAPE
Inputs: 50 58
Outputs: 56
Node 57 Operator Builtin Code 2 CONCATENATION
Inputs: 6 16 26 36 46 56
Outputs: 172
Node 58 Operator Builtin Code 22 RESHAPE
Inputs: 172 166
Outputs: 165
Node 59 Operator Builtin Code 3 CONV_2D
Inputs: 82 55 54
Outputs: 53
Node 60 Operator Builtin Code 22 RESHAPE
Inputs: 53 59
Outputs: 57
Node 61 Operator Builtin Code 2 CONCATENATION
Inputs: 7 17 27 37 47 57
Outputs: 173
Node 62 Operator Builtin Code 14 LOGISTIC
Inputs: 173
Outputs: 174
Node 63 Operator Custom Name TFLite_Detection_PostProcess
Inputs: 165 174 171
Outputs: 167 168 169 170
Temporaries: 176 177 178'프로그램 사용 > yolo_tensorflow' 카테고리의 다른 글
| tensorflow lite on x86 / label_image (0) | 2021.01.20 |
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| tensorflow-lite 모델 (0) | 2021.01.18 |
| mobileNET/SSD (0) | 2021.01.14 |
| caffe (0) | 2021.01.14 |
| darknet detect (0) | 2021.01.11 |
