Counts the number of OPS in your Keras model.
Project description
KerOp: Keras-Opcounter
How to install
pip install kerop
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Counts the number of OPS in your Keras model!
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Visualizes the OPS at each of your layer, to find the bottleneck.
Supported layers: conv2d, fc, residual.
Usage
import kerop
# analyze FLOPS
layer_name, layer_flops, inshape, weights = kerop.profile(your_keras_model)
# visualize results
for name, flop, shape, weight in zip(layer_name, layer_flops, inshape, weights):
print("layer:", name, shape, " MegaFLOPS:", flop/1e6, " MegaWeights:", weight/1e6)
great thanks
@Lyken17
https://github.com/Lyken17/pytorch-OpCounter
Example: Count the ops in VGG16:
python example/vgg.py
Total params: 138,357,544
Trainable params: 138,357,544
Non-trainable params: 0
_________________________________________________________________
layer: block1_conv1 (None, 224, 224, 3) MegaFLOPS: 173.40832 MegaWeights: 0.001792
layer: block1_conv2 (None, 224, 224, 64) MegaFLOPS: 3699.376192 MegaWeights: 0.036928
layer: block2_conv1 (None, 112, 112, 64) MegaFLOPS: 1849.688192 MegaWeights: 0.073856
layer: block2_conv2 (None, 112, 112, 128) MegaFLOPS: 3699.376256 MegaWeights: 0.147584
layer: block3_conv1 (None, 56, 56, 128) MegaFLOPS: 1849.68832 MegaWeights: 0.295168
layer: block3_conv2 (None, 56, 56, 256) MegaFLOPS: 3699.376384 MegaWeights: 0.59008
layer: block3_conv3 (None, 56, 56, 256) MegaFLOPS: 3699.376384 MegaWeights: 0.59008
layer: block4_conv1 (None, 28, 28, 256) MegaFLOPS: 1849.688576 MegaWeights: 1.18016
layer: block4_conv2 (None, 28, 28, 512) MegaFLOPS: 3699.37664 MegaWeights: 2.359808
layer: block4_conv3 (None, 28, 28, 512) MegaFLOPS: 3699.37664 MegaWeights: 2.359808
layer: block5_conv1 (None, 14, 14, 512) MegaFLOPS: 924.844544 MegaWeights: 2.359808
layer: block5_conv2 (None, 14, 14, 512) MegaFLOPS: 924.844544 MegaWeights: 2.359808
layer: block5_conv3 (None, 14, 14, 512) MegaFLOPS: 924.844544 MegaWeights: 2.359808
layer: fc1 (None, 25088) MegaFLOPS: 205.524992 MegaWeights: 102.764544
layer: fc2 (None, 4096) MegaFLOPS: 33.558528 MegaWeights: 16.781312
Total FLOPS[GFLOPS]: 30.932349056
Count the ops in resnet50:
python example/resnet.py
Total params: 25,636,712
Trainable params: 25,583,592
Non-trainable params: 53,120
__________________________________________________________________________________________________
layer: conv1 (None, 230, 230, 3) MegaFLOPS: 497.683264 MegaWeights: 0.009472
layer: res2a_branch2a (None, 56, 56, 64) MegaFLOPS: 25.690176 MegaWeights: 0.00416
layer: res2a_branch2b (None, 56, 56, 64) MegaFLOPS: 231.211072 MegaWeights: 0.036928
layer: res2a_branch2c (None, 56, 56, 64) MegaFLOPS: 102.760704 MegaWeights: 0.01664
layer: res2a_branch1 (None, 56, 56, 64) MegaFLOPS: 102.760704 MegaWeights: 0.01664
layer: res2b_branch2a (None, 56, 56, 256) MegaFLOPS: 102.760512 MegaWeights: 0.016448
layer: res2b_branch2b (None, 56, 56, 64) MegaFLOPS: 231.211072 MegaWeights: 0.036928
layer: res2b_branch2c (None, 56, 56, 64) MegaFLOPS: 102.760704 MegaWeights: 0.01664
layer: res2c_branch2a (None, 56, 56, 256) MegaFLOPS: 102.760512 MegaWeights: 0.016448
layer: res2c_branch2b (None, 56, 56, 64) MegaFLOPS: 231.211072 MegaWeights: 0.036928
layer: res2c_branch2c (None, 56, 56, 64) MegaFLOPS: 102.760704 MegaWeights: 0.01664
layer: res3a_branch2a (None, 56, 56, 256) MegaFLOPS: 102.760576 MegaWeights: 0.032896
layer: res3a_branch2b (None, 28, 28, 128) MegaFLOPS: 231.211136 MegaWeights: 0.147584
layer: res3a_branch2c (None, 28, 28, 128) MegaFLOPS: 102.76096 MegaWeights: 0.066048
layer: res3a_branch1 (None, 56, 56, 256) MegaFLOPS: 411.042304 MegaWeights: 0.131584
layer: res3b_branch2a (None, 28, 28, 512) MegaFLOPS: 102.760576 MegaWeights: 0.065664
layer: res3b_branch2b (None, 28, 28, 128) MegaFLOPS: 231.211136 MegaWeights: 0.147584
layer: res3b_branch2c (None, 28, 28, 128) MegaFLOPS: 102.76096 MegaWeights: 0.066048
layer: res3c_branch2a (None, 28, 28, 512) MegaFLOPS: 102.760576 MegaWeights: 0.065664
layer: res3c_branch2b (None, 28, 28, 128) MegaFLOPS: 231.211136 MegaWeights: 0.147584
layer: res3c_branch2c (None, 28, 28, 128) MegaFLOPS: 102.76096 MegaWeights: 0.066048
layer: res3d_branch2a (None, 28, 28, 512) MegaFLOPS: 102.760576 MegaWeights: 0.065664
layer: res3d_branch2b (None, 28, 28, 128) MegaFLOPS: 231.211136 MegaWeights: 0.147584
layer: res3d_branch2c (None, 28, 28, 128) MegaFLOPS: 102.76096 MegaWeights: 0.066048
layer: res4a_branch2a (None, 28, 28, 512) MegaFLOPS: 102.760704 MegaWeights: 0.131328
layer: res4a_branch2b (None, 14, 14, 256) MegaFLOPS: 231.211264 MegaWeights: 0.59008
layer: res4a_branch2c (None, 14, 14, 256) MegaFLOPS: 102.761472 MegaWeights: 0.263168
layer: res4a_branch1 (None, 28, 28, 512) MegaFLOPS: 411.042816 MegaWeights: 0.525312
layer: res4b_branch2a (None, 14, 14, 1024) MegaFLOPS: 102.760704 MegaWeights: 0.2624
layer: res4b_branch2b (None, 14, 14, 256) MegaFLOPS: 231.211264 MegaWeights: 0.59008
layer: res4b_branch2c (None, 14, 14, 256) MegaFLOPS: 102.761472 MegaWeights: 0.263168
layer: res4c_branch2a (None, 14, 14, 1024) MegaFLOPS: 102.760704 MegaWeights: 0.2624
layer: res4c_branch2b (None, 14, 14, 256) MegaFLOPS: 231.211264 MegaWeights: 0.59008
layer: res4c_branch2c (None, 14, 14, 256) MegaFLOPS: 102.761472 MegaWeights: 0.263168
layer: res4d_branch2a (None, 14, 14, 1024) MegaFLOPS: 102.760704 MegaWeights: 0.2624
layer: res4d_branch2b (None, 14, 14, 256) MegaFLOPS: 231.211264 MegaWeights: 0.59008
layer: res4d_branch2c (None, 14, 14, 256) MegaFLOPS: 102.761472 MegaWeights: 0.263168
layer: res4e_branch2a (None, 14, 14, 1024) MegaFLOPS: 102.760704 MegaWeights: 0.2624
layer: res4e_branch2b (None, 14, 14, 256) MegaFLOPS: 231.211264 MegaWeights: 0.59008
layer: res4e_branch2c (None, 14, 14, 256) MegaFLOPS: 102.761472 MegaWeights: 0.263168
layer: res4f_branch2a (None, 14, 14, 1024) MegaFLOPS: 102.760704 MegaWeights: 0.2624
layer: res4f_branch2b (None, 14, 14, 256) MegaFLOPS: 231.211264 MegaWeights: 0.59008
layer: res4f_branch2c (None, 14, 14, 256) MegaFLOPS: 102.761472 MegaWeights: 0.263168
layer: res5a_branch2a (None, 14, 14, 1024) MegaFLOPS: 102.76096 MegaWeights: 0.5248
layer: res5a_branch2b (None, 7, 7, 512) MegaFLOPS: 231.21152 MegaWeights: 2.359808
layer: res5a_branch2c (None, 7, 7, 512) MegaFLOPS: 102.762496 MegaWeights: 1.050624
layer: res5a_branch1 (None, 14, 14, 1024) MegaFLOPS: 411.04384 MegaWeights: 2.0992
layer: res5b_branch2a (None, 7, 7, 2048) MegaFLOPS: 102.76096 MegaWeights: 1.049088
layer: res5b_branch2b (None, 7, 7, 512) MegaFLOPS: 231.21152 MegaWeights: 2.359808
layer: res5b_branch2c (None, 7, 7, 512) MegaFLOPS: 102.762496 MegaWeights: 1.050624
layer: res5c_branch2a (None, 7, 7, 2048) MegaFLOPS: 102.76096 MegaWeights: 1.049088
layer: res5c_branch2b (None, 7, 7, 512) MegaFLOPS: 231.21152 MegaWeights: 2.359808
layer: res5c_branch2c (None, 7, 7, 512) MegaFLOPS: 102.762496 MegaWeights: 1.050624
layer: fc1000 (None, 2048) MegaFLOPS: 4.097 MegaWeights: 2.049
Total FLOPS[GFLOPS]: 8.748332712
densenet
python example/densenet.py
layer: conv1/conv (None, 230, 230, 3) MegaFLOPS: 236.027904 MegaWeights: 0.009408
layer: conv2_block1_1_conv (None, 56, 56, 64) MegaFLOPS: 51.380224 MegaWeights: 0.008192
layer: conv2_block1_2_conv (None, 56, 56, 128) MegaFLOPS: 231.211008 MegaWeights: 0.036864
layer: conv2_block2_1_conv (None, 56, 56, 96) MegaFLOPS: 77.070336 MegaWeights: 0.012288
layer: conv2_block2_2_conv (None, 56, 56, 128) MegaFLOPS: 231.211008 MegaWeights: 0.036864
layer: conv2_block3_1_conv (None, 56, 56, 128) MegaFLOPS: 102.760448 MegaWeights: 0.016384
layer: conv2_block3_2_conv (None, 56, 56, 128) MegaFLOPS: 231.211008 MegaWeights: 0.036864
layer: conv2_block4_1_conv (None, 56, 56, 160) MegaFLOPS: 128.45056 MegaWeights: 0.02048
layer: conv2_block4_2_conv (None, 56, 56, 128) MegaFLOPS: 231.211008 MegaWeights: 0.036864
layer: conv2_block5_1_conv (None, 56, 56, 192) MegaFLOPS: 154.140672 MegaWeights: 0.024576
layer: conv2_block5_2_conv (None, 56, 56, 128) MegaFLOPS: 231.211008 MegaWeights: 0.036864
layer: conv2_block6_1_conv (None, 56, 56, 224) MegaFLOPS: 179.830784 MegaWeights: 0.028672
layer: conv2_block6_2_conv (None, 56, 56, 128) MegaFLOPS: 231.211008 MegaWeights: 0.036864
layer: pool2_conv (None, 56, 56, 256) MegaFLOPS: 205.520896 MegaWeights: 0.032768
layer: conv3_block1_1_conv (None, 28, 28, 128) MegaFLOPS: 25.690112 MegaWeights: 0.016384
layer: conv3_block1_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block2_1_conv (None, 28, 28, 160) MegaFLOPS: 32.11264 MegaWeights: 0.02048
layer: conv3_block2_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block3_1_conv (None, 28, 28, 192) MegaFLOPS: 38.535168 MegaWeights: 0.024576
layer: conv3_block3_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block4_1_conv (None, 28, 28, 224) MegaFLOPS: 44.957696 MegaWeights: 0.028672
layer: conv3_block4_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block5_1_conv (None, 28, 28, 256) MegaFLOPS: 51.380224 MegaWeights: 0.032768
layer: conv3_block5_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block6_1_conv (None, 28, 28, 288) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block6_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block7_1_conv (None, 28, 28, 320) MegaFLOPS: 64.22528 MegaWeights: 0.04096
layer: conv3_block7_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block8_1_conv (None, 28, 28, 352) MegaFLOPS: 70.647808 MegaWeights: 0.045056
layer: conv3_block8_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block9_1_conv (None, 28, 28, 384) MegaFLOPS: 77.070336 MegaWeights: 0.049152
layer: conv3_block9_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block10_1_conv (None, 28, 28, 416) MegaFLOPS: 83.492864 MegaWeights: 0.053248
layer: conv3_block10_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block11_1_conv (None, 28, 28, 448) MegaFLOPS: 89.915392 MegaWeights: 0.057344
layer: conv3_block11_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: conv3_block12_1_conv (None, 28, 28, 480) MegaFLOPS: 96.33792 MegaWeights: 0.06144
layer: conv3_block12_2_conv (None, 28, 28, 128) MegaFLOPS: 57.802752 MegaWeights: 0.036864
layer: pool3_conv (None, 28, 28, 512) MegaFLOPS: 205.520896 MegaWeights: 0.131072
layer: conv4_block1_1_conv (None, 14, 14, 256) MegaFLOPS: 12.845056 MegaWeights: 0.032768
layer: conv4_block1_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block2_1_conv (None, 14, 14, 288) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block2_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block3_1_conv (None, 14, 14, 320) MegaFLOPS: 16.05632 MegaWeights: 0.04096
layer: conv4_block3_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block4_1_conv (None, 14, 14, 352) MegaFLOPS: 17.661952 MegaWeights: 0.045056
layer: conv4_block4_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block5_1_conv (None, 14, 14, 384) MegaFLOPS: 19.267584 MegaWeights: 0.049152
layer: conv4_block5_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block6_1_conv (None, 14, 14, 416) MegaFLOPS: 20.873216 MegaWeights: 0.053248
layer: conv4_block6_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block7_1_conv (None, 14, 14, 448) MegaFLOPS: 22.478848 MegaWeights: 0.057344
layer: conv4_block7_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block8_1_conv (None, 14, 14, 480) MegaFLOPS: 24.08448 MegaWeights: 0.06144
layer: conv4_block8_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block9_1_conv (None, 14, 14, 512) MegaFLOPS: 25.690112 MegaWeights: 0.065536
layer: conv4_block9_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block10_1_conv (None, 14, 14, 544) MegaFLOPS: 27.295744 MegaWeights: 0.069632
layer: conv4_block10_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block11_1_conv (None, 14, 14, 576) MegaFLOPS: 28.901376 MegaWeights: 0.073728
layer: conv4_block11_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block12_1_conv (None, 14, 14, 608) MegaFLOPS: 30.507008 MegaWeights: 0.077824
layer: conv4_block12_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block13_1_conv (None, 14, 14, 640) MegaFLOPS: 32.11264 MegaWeights: 0.08192
layer: conv4_block13_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block14_1_conv (None, 14, 14, 672) MegaFLOPS: 33.718272 MegaWeights: 0.086016
layer: conv4_block14_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block15_1_conv (None, 14, 14, 704) MegaFLOPS: 35.323904 MegaWeights: 0.090112
layer: conv4_block15_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block16_1_conv (None, 14, 14, 736) MegaFLOPS: 36.929536 MegaWeights: 0.094208
layer: conv4_block16_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block17_1_conv (None, 14, 14, 768) MegaFLOPS: 38.535168 MegaWeights: 0.098304
layer: conv4_block17_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block18_1_conv (None, 14, 14, 800) MegaFLOPS: 40.1408 MegaWeights: 0.1024
layer: conv4_block18_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block19_1_conv (None, 14, 14, 832) MegaFLOPS: 41.746432 MegaWeights: 0.106496
layer: conv4_block19_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block20_1_conv (None, 14, 14, 864) MegaFLOPS: 43.352064 MegaWeights: 0.110592
layer: conv4_block20_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block21_1_conv (None, 14, 14, 896) MegaFLOPS: 44.957696 MegaWeights: 0.114688
layer: conv4_block21_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block22_1_conv (None, 14, 14, 928) MegaFLOPS: 46.563328 MegaWeights: 0.118784
layer: conv4_block22_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block23_1_conv (None, 14, 14, 960) MegaFLOPS: 48.16896 MegaWeights: 0.12288
layer: conv4_block23_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block24_1_conv (None, 14, 14, 992) MegaFLOPS: 49.774592 MegaWeights: 0.126976
layer: conv4_block24_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block25_1_conv (None, 14, 14, 1024) MegaFLOPS: 51.380224 MegaWeights: 0.131072
layer: conv4_block25_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block26_1_conv (None, 14, 14, 1056) MegaFLOPS: 52.985856 MegaWeights: 0.135168
layer: conv4_block26_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block27_1_conv (None, 14, 14, 1088) MegaFLOPS: 54.591488 MegaWeights: 0.139264
layer: conv4_block27_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block28_1_conv (None, 14, 14, 1120) MegaFLOPS: 56.19712 MegaWeights: 0.14336
layer: conv4_block28_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block29_1_conv (None, 14, 14, 1152) MegaFLOPS: 57.802752 MegaWeights: 0.147456
layer: conv4_block29_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block30_1_conv (None, 14, 14, 1184) MegaFLOPS: 59.408384 MegaWeights: 0.151552
layer: conv4_block30_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block31_1_conv (None, 14, 14, 1216) MegaFLOPS: 61.014016 MegaWeights: 0.155648
layer: conv4_block31_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: conv4_block32_1_conv (None, 14, 14, 1248) MegaFLOPS: 62.619648 MegaWeights: 0.159744
layer: conv4_block32_2_conv (None, 14, 14, 128) MegaFLOPS: 14.450688 MegaWeights: 0.036864
layer: pool4_conv (None, 14, 14, 1280) MegaFLOPS: 321.1264 MegaWeights: 0.8192
layer: conv5_block1_1_conv (None, 7, 7, 640) MegaFLOPS: 8.02816 MegaWeights: 0.08192
layer: conv5_block1_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block2_1_conv (None, 7, 7, 672) MegaFLOPS: 8.429568 MegaWeights: 0.086016
layer: conv5_block2_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block3_1_conv (None, 7, 7, 704) MegaFLOPS: 8.830976 MegaWeights: 0.090112
layer: conv5_block3_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block4_1_conv (None, 7, 7, 736) MegaFLOPS: 9.232384 MegaWeights: 0.094208
layer: conv5_block4_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block5_1_conv (None, 7, 7, 768) MegaFLOPS: 9.633792 MegaWeights: 0.098304
layer: conv5_block5_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block6_1_conv (None, 7, 7, 800) MegaFLOPS: 10.0352 MegaWeights: 0.1024
layer: conv5_block6_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block7_1_conv (None, 7, 7, 832) MegaFLOPS: 10.436608 MegaWeights: 0.106496
layer: conv5_block7_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block8_1_conv (None, 7, 7, 864) MegaFLOPS: 10.838016 MegaWeights: 0.110592
layer: conv5_block8_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block9_1_conv (None, 7, 7, 896) MegaFLOPS: 11.239424 MegaWeights: 0.114688
layer: conv5_block9_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block10_1_conv (None, 7, 7, 928) MegaFLOPS: 11.640832 MegaWeights: 0.118784
layer: conv5_block10_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block11_1_conv (None, 7, 7, 960) MegaFLOPS: 12.04224 MegaWeights: 0.12288
layer: conv5_block11_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block12_1_conv (None, 7, 7, 992) MegaFLOPS: 12.443648 MegaWeights: 0.126976
layer: conv5_block12_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block13_1_conv (None, 7, 7, 1024) MegaFLOPS: 12.845056 MegaWeights: 0.131072
layer: conv5_block13_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block14_1_conv (None, 7, 7, 1056) MegaFLOPS: 13.246464 MegaWeights: 0.135168
layer: conv5_block14_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block15_1_conv (None, 7, 7, 1088) MegaFLOPS: 13.647872 MegaWeights: 0.139264
layer: conv5_block15_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block16_1_conv (None, 7, 7, 1120) MegaFLOPS: 14.04928 MegaWeights: 0.14336
layer: conv5_block16_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block17_1_conv (None, 7, 7, 1152) MegaFLOPS: 14.450688 MegaWeights: 0.147456
layer: conv5_block17_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block18_1_conv (None, 7, 7, 1184) MegaFLOPS: 14.852096 MegaWeights: 0.151552
layer: conv5_block18_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block19_1_conv (None, 7, 7, 1216) MegaFLOPS: 15.253504 MegaWeights: 0.155648
layer: conv5_block19_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block20_1_conv (None, 7, 7, 1248) MegaFLOPS: 15.654912 MegaWeights: 0.159744
layer: conv5_block20_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block21_1_conv (None, 7, 7, 1280) MegaFLOPS: 16.05632 MegaWeights: 0.16384
layer: conv5_block21_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block22_1_conv (None, 7, 7, 1312) MegaFLOPS: 16.457728 MegaWeights: 0.167936
layer: conv5_block22_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block23_1_conv (None, 7, 7, 1344) MegaFLOPS: 16.859136 MegaWeights: 0.172032
layer: conv5_block23_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block24_1_conv (None, 7, 7, 1376) MegaFLOPS: 17.260544 MegaWeights: 0.176128
layer: conv5_block24_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block25_1_conv (None, 7, 7, 1408) MegaFLOPS: 17.661952 MegaWeights: 0.180224
layer: conv5_block25_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block26_1_conv (None, 7, 7, 1440) MegaFLOPS: 18.06336 MegaWeights: 0.18432
layer: conv5_block26_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block27_1_conv (None, 7, 7, 1472) MegaFLOPS: 18.464768 MegaWeights: 0.188416
layer: conv5_block27_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block28_1_conv (None, 7, 7, 1504) MegaFLOPS: 18.866176 MegaWeights: 0.192512
layer: conv5_block28_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block29_1_conv (None, 7, 7, 1536) MegaFLOPS: 19.267584 MegaWeights: 0.196608
layer: conv5_block29_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block30_1_conv (None, 7, 7, 1568) MegaFLOPS: 19.668992 MegaWeights: 0.200704
layer: conv5_block30_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block31_1_conv (None, 7, 7, 1600) MegaFLOPS: 20.0704 MegaWeights: 0.2048
layer: conv5_block31_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: conv5_block32_1_conv (None, 7, 7, 1632) MegaFLOPS: 20.471808 MegaWeights: 0.208896
layer: conv5_block32_2_conv (None, 7, 7, 128) MegaFLOPS: 3.612672 MegaWeights: 0.036864
layer: fc1000 (None, 1664) MegaFLOPS: 3.329 MegaWeights: 1.665
Total FLOPS[GFLOPS]: 6.719687656
still under development! :)
Numbers are still buggy, plz wait till I fix this.
Right now, supports conv2d and dense only.
Doesn't fully count the activations yet.
We count 1 MAC as 2 FLOPS and 1 ADD as 1 FLOPS.
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