Closed asonee closed 2 years ago
$ pip list | grep openvino2
openvino2tensorflow 1.21.3
$ openvino2tensorflow \
--model_path gender_mobile2_112x112.xml \
--output_no_quant_float32_tflite
It seems very strange, When I update openvino2tensorflow, it occurs errors too.
I do not know why the error occurs only in your environment.
user@776cfeff6ae2:~/workdir$ openvino2tensorflow --model_path gender_mobile2_112x112.xml --output_no_quant_float32_tflite
TensorFlow/Keras model building process starts ======================================
Layer structure =====================================================================
layer_type: Input
layer_id: 0
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 3), dtype=tf.float32, name='input_0'), name='input_0', description="created by layer 'input_0'")
====================================================================================
layer_type: Const
layer_id: 1
tf_layers_dict: (32, 3, 3, 3)
====================================================================================
layer_type: Convolution
layer_id: 2
input_layer0: layer_id=0: KerasTensor(type_spec=TensorSpec(shape=(1, 112, 112, 3), dtype=tf.float32, name='input_0'), name='input_0', description="created by layer 'input_0'")
input_layer1: layer_id=1: Const(ndarray).shape (32, 3, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='conv2d/Conv2D:0', description="created by layer 'conv2d'")
====================================================================================
layer_type: Const
layer_id: 3
tf_layers_dict: (1, 32, 1, 1)
====================================================================================
layer_type: Add
layer_id: 4
input_layer0: layer_id=2: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='conv2d/Conv2D:0', description="created by layer 'conv2d'")
input_layer1: layer_id=3: Const(ndarray).shape (1, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='tf.math.add/Add:0', description="created by layer 'tf.math.add'")
====================================================================================
layer_type: Const
layer_id: 5
tf_layers_dict: (32, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 6
input_layer0: layer_id=4: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='tf.math.add/Add:0', description="created by layer 'tf.math.add'")
input_layer1: layer_id=5: Const(ndarray).shape (32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='p_re_lu_1/add:0', description="created by layer 'p_re_lu_1'")
====================================================================================
layer_type: Const
layer_id: 7
tf_layers_dict: (32, 32, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 8
input_layer0: layer_id=6: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='p_re_lu_1/add:0', description="created by layer 'p_re_lu_1'")
input_layer1: layer_id=7: Const(ndarray).shape (32, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='conv2d_1/Conv2D:0', description="created by layer 'conv2d_1'")
====================================================================================
layer_type: Const
layer_id: 9
tf_layers_dict: (1, 32, 1, 1)
====================================================================================
layer_type: Add
layer_id: 10
input_layer0: layer_id=8: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='conv2d_1/Conv2D:0', description="created by layer 'conv2d_1'")
input_layer1: layer_id=9: Const(ndarray).shape (1, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='tf.math.add_1/Add:0', description="created by layer 'tf.math.add_1'")
====================================================================================
layer_type: Const
layer_id: 11
tf_layers_dict: (32, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 12
input_layer0: layer_id=10: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='tf.math.add_1/Add:0', description="created by layer 'tf.math.add_1'")
input_layer1: layer_id=11: Const(ndarray).shape (32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='p_re_lu_3/add:0', description="created by layer 'p_re_lu_3'")
====================================================================================
layer_type: Const
layer_id: 13
tf_layers_dict: (32, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 14
input_layer0: layer_id=12: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='p_re_lu_3/add:0', description="created by layer 'p_re_lu_3'")
input_layer1: layer_id=13: Const(ndarray).shape (32, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='depthwise_conv2d/depthwise:0', description="created by layer 'depthwise_conv2d'")
====================================================================================
layer_type: Const
layer_id: 15
tf_layers_dict: (1, 32, 1, 1)
====================================================================================
layer_type: Add
layer_id: 16
input_layer0: layer_id=14: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='depthwise_conv2d/depthwise:0', description="created by layer 'depthwise_conv2d'")
input_layer1: layer_id=15: Const(ndarray).shape (1, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='tf.math.add_2/Add:0', description="created by layer 'tf.math.add_2'")
====================================================================================
layer_type: Const
layer_id: 17
tf_layers_dict: (32, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 18
input_layer0: layer_id=16: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='tf.math.add_2/Add:0', description="created by layer 'tf.math.add_2'")
input_layer1: layer_id=17: Const(ndarray).shape (32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='p_re_lu_5/add:0', description="created by layer 'p_re_lu_5'")
====================================================================================
layer_type: Const
layer_id: 19
tf_layers_dict: (16, 32, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 20
input_layer0: layer_id=18: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='p_re_lu_5/add:0', description="created by layer 'p_re_lu_5'")
input_layer1: layer_id=19: Const(ndarray).shape (16, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='conv2d_2/Conv2D:0', description="created by layer 'conv2d_2'")
====================================================================================
layer_type: Const
layer_id: 21
tf_layers_dict: (1, 16, 1, 1)
====================================================================================
layer_type: Add
layer_id: 22
input_layer0: layer_id=20: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='conv2d_2/Conv2D:0', description="created by layer 'conv2d_2'")
input_layer1: layer_id=21: Const(ndarray).shape (1, 16, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='tf.math.add_3/Add:0', description="created by layer 'tf.math.add_3'")
====================================================================================
layer_type: Const
layer_id: 23
tf_layers_dict: (16, 32, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 24
input_layer0: layer_id=6: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 32), dtype=tf.float32, name=None), name='p_re_lu_1/add:0', description="created by layer 'p_re_lu_1'")
input_layer1: layer_id=23: Const(ndarray).shape (16, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='conv2d_3/Conv2D:0', description="created by layer 'conv2d_3'")
====================================================================================
layer_type: Const
layer_id: 25
tf_layers_dict: (1, 16, 1, 1)
====================================================================================
layer_type: Add
layer_id: 26
input_layer0: layer_id=24: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='conv2d_3/Conv2D:0', description="created by layer 'conv2d_3'")
input_layer1: layer_id=25: Const(ndarray).shape (1, 16, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='tf.math.add_4/Add:0', description="created by layer 'tf.math.add_4'")
====================================================================================
layer_type: Add
layer_id: 27
input_layer0: layer_id=22: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='tf.math.add_3/Add:0', description="created by layer 'tf.math.add_3'")
input_layer1: layer_id=26: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='tf.math.add_4/Add:0', description="created by layer 'tf.math.add_4'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='tf.math.add_5/Add:0', description="created by layer 'tf.math.add_5'")
====================================================================================
layer_type: Const
layer_id: 28
tf_layers_dict: (96, 16, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 29
input_layer0: layer_id=27: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 16), dtype=tf.float32, name=None), name='tf.math.add_5/Add:0', description="created by layer 'tf.math.add_5'")
input_layer1: layer_id=28: Const(ndarray).shape (96, 16, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 96), dtype=tf.float32, name=None), name='conv2d_4/Conv2D:0', description="created by layer 'conv2d_4'")
====================================================================================
layer_type: Const
layer_id: 30
tf_layers_dict: (1, 96, 1, 1)
====================================================================================
layer_type: Add
layer_id: 31
input_layer0: layer_id=29: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 96), dtype=tf.float32, name=None), name='conv2d_4/Conv2D:0', description="created by layer 'conv2d_4'")
input_layer1: layer_id=30: Const(ndarray).shape (1, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 96), dtype=tf.float32, name=None), name='tf.math.add_6/Add:0', description="created by layer 'tf.math.add_6'")
====================================================================================
layer_type: Const
layer_id: 32
tf_layers_dict: (96, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 33
input_layer0: layer_id=31: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 96), dtype=tf.float32, name=None), name='tf.math.add_6/Add:0', description="created by layer 'tf.math.add_6'")
input_layer1: layer_id=32: Const(ndarray).shape (96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 96), dtype=tf.float32, name=None), name='p_re_lu_7/add:0', description="created by layer 'p_re_lu_7'")
====================================================================================
layer_type: Const
layer_id: 34
tf_layers_dict: (96, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 35
input_layer0: layer_id=33: KerasTensor(type_spec=TensorSpec(shape=(1, 56, 56, 96), dtype=tf.float32, name=None), name='p_re_lu_7/add:0', description="created by layer 'p_re_lu_7'")
input_layer1: layer_id=34: Const(ndarray).shape (96, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 96), dtype=tf.float32, name=None), name='depthwise_conv2d_1/depthwise:0', description="created by layer 'depthwise_conv2d_1'")
====================================================================================
layer_type: Const
layer_id: 36
tf_layers_dict: (1, 96, 1, 1)
====================================================================================
layer_type: Add
layer_id: 37
input_layer0: layer_id=35: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 96), dtype=tf.float32, name=None), name='depthwise_conv2d_1/depthwise:0', description="created by layer 'depthwise_conv2d_1'")
input_layer1: layer_id=36: Const(ndarray).shape (1, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 96), dtype=tf.float32, name=None), name='tf.math.add_7/Add:0', description="created by layer 'tf.math.add_7'")
====================================================================================
layer_type: Const
layer_id: 38
tf_layers_dict: (96, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 39
input_layer0: layer_id=37: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 96), dtype=tf.float32, name=None), name='tf.math.add_7/Add:0', description="created by layer 'tf.math.add_7'")
input_layer1: layer_id=38: Const(ndarray).shape (96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 96), dtype=tf.float32, name=None), name='p_re_lu_9/add:0', description="created by layer 'p_re_lu_9'")
====================================================================================
layer_type: Const
layer_id: 40
tf_layers_dict: (24, 96, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 41
input_layer0: layer_id=39: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 96), dtype=tf.float32, name=None), name='p_re_lu_9/add:0', description="created by layer 'p_re_lu_9'")
input_layer1: layer_id=40: Const(ndarray).shape (24, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='conv2d_5/Conv2D:0', description="created by layer 'conv2d_5'")
====================================================================================
layer_type: Const
layer_id: 42
tf_layers_dict: (1, 24, 1, 1)
====================================================================================
layer_type: Add
layer_id: 43
input_layer0: layer_id=41: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='conv2d_5/Conv2D:0', description="created by layer 'conv2d_5'")
input_layer1: layer_id=42: Const(ndarray).shape (1, 24, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='tf.math.add_8/Add:0', description="created by layer 'tf.math.add_8'")
====================================================================================
layer_type: Const
layer_id: 44
tf_layers_dict: (144, 24, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 45
input_layer0: layer_id=43: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='tf.math.add_8/Add:0', description="created by layer 'tf.math.add_8'")
input_layer1: layer_id=44: Const(ndarray).shape (144, 24, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='conv2d_6/Conv2D:0', description="created by layer 'conv2d_6'")
====================================================================================
layer_type: Const
layer_id: 46
tf_layers_dict: (1, 144, 1, 1)
====================================================================================
layer_type: Add
layer_id: 47
input_layer0: layer_id=45: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='conv2d_6/Conv2D:0', description="created by layer 'conv2d_6'")
input_layer1: layer_id=46: Const(ndarray).shape (1, 144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='tf.math.add_9/Add:0', description="created by layer 'tf.math.add_9'")
====================================================================================
layer_type: Const
layer_id: 48
tf_layers_dict: (144, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 49
input_layer0: layer_id=47: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='tf.math.add_9/Add:0', description="created by layer 'tf.math.add_9'")
input_layer1: layer_id=48: Const(ndarray).shape (144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='p_re_lu_11/add:0', description="created by layer 'p_re_lu_11'")
====================================================================================
layer_type: Const
layer_id: 50
tf_layers_dict: (144, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 51
input_layer0: layer_id=49: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='p_re_lu_11/add:0', description="created by layer 'p_re_lu_11'")
input_layer1: layer_id=50: Const(ndarray).shape (144, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='depthwise_conv2d_2/depthwise:0', description="created by layer 'depthwise_conv2d_2'")
====================================================================================
layer_type: Const
layer_id: 52
tf_layers_dict: (1, 144, 1, 1)
====================================================================================
layer_type: Add
layer_id: 53
input_layer0: layer_id=51: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='depthwise_conv2d_2/depthwise:0', description="created by layer 'depthwise_conv2d_2'")
input_layer1: layer_id=52: Const(ndarray).shape (1, 144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='tf.math.add_10/Add:0', description="created by layer 'tf.math.add_10'")
====================================================================================
layer_type: Const
layer_id: 54
tf_layers_dict: (144, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 55
input_layer0: layer_id=53: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='tf.math.add_10/Add:0', description="created by layer 'tf.math.add_10'")
input_layer1: layer_id=54: Const(ndarray).shape (144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='p_re_lu_13/add:0', description="created by layer 'p_re_lu_13'")
====================================================================================
layer_type: Const
layer_id: 56
tf_layers_dict: (24, 144, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 57
input_layer0: layer_id=55: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='p_re_lu_13/add:0', description="created by layer 'p_re_lu_13'")
input_layer1: layer_id=56: Const(ndarray).shape (24, 144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='conv2d_7/Conv2D:0', description="created by layer 'conv2d_7'")
====================================================================================
layer_type: Const
layer_id: 58
tf_layers_dict: (1, 24, 1, 1)
====================================================================================
layer_type: Add
layer_id: 59
input_layer0: layer_id=57: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='conv2d_7/Conv2D:0', description="created by layer 'conv2d_7'")
input_layer1: layer_id=58: Const(ndarray).shape (1, 24, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='tf.math.add_11/Add:0', description="created by layer 'tf.math.add_11'")
====================================================================================
layer_type: Add
layer_id: 60
input_layer0: layer_id=43: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='tf.math.add_8/Add:0', description="created by layer 'tf.math.add_8'")
input_layer1: layer_id=59: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='tf.math.add_11/Add:0', description="created by layer 'tf.math.add_11'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='tf.math.add_12/Add:0', description="created by layer 'tf.math.add_12'")
====================================================================================
layer_type: Const
layer_id: 61
tf_layers_dict: (144, 24, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 62
input_layer0: layer_id=60: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 24), dtype=tf.float32, name=None), name='tf.math.add_12/Add:0', description="created by layer 'tf.math.add_12'")
input_layer1: layer_id=61: Const(ndarray).shape (144, 24, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='conv2d_8/Conv2D:0', description="created by layer 'conv2d_8'")
====================================================================================
layer_type: Const
layer_id: 63
tf_layers_dict: (1, 144, 1, 1)
====================================================================================
layer_type: Add
layer_id: 64
input_layer0: layer_id=62: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='conv2d_8/Conv2D:0', description="created by layer 'conv2d_8'")
input_layer1: layer_id=63: Const(ndarray).shape (1, 144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='tf.math.add_13/Add:0', description="created by layer 'tf.math.add_13'")
====================================================================================
layer_type: Const
layer_id: 65
tf_layers_dict: (144, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 66
input_layer0: layer_id=64: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='tf.math.add_13/Add:0', description="created by layer 'tf.math.add_13'")
input_layer1: layer_id=65: Const(ndarray).shape (144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='p_re_lu_15/add:0', description="created by layer 'p_re_lu_15'")
====================================================================================
layer_type: Const
layer_id: 67
tf_layers_dict: (144, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 68
input_layer0: layer_id=66: KerasTensor(type_spec=TensorSpec(shape=(1, 28, 28, 144), dtype=tf.float32, name=None), name='p_re_lu_15/add:0', description="created by layer 'p_re_lu_15'")
input_layer1: layer_id=67: Const(ndarray).shape (144, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 144), dtype=tf.float32, name=None), name='depthwise_conv2d_3/depthwise:0', description="created by layer 'depthwise_conv2d_3'")
====================================================================================
layer_type: Const
layer_id: 69
tf_layers_dict: (1, 144, 1, 1)
====================================================================================
layer_type: Add
layer_id: 70
input_layer0: layer_id=68: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 144), dtype=tf.float32, name=None), name='depthwise_conv2d_3/depthwise:0', description="created by layer 'depthwise_conv2d_3'")
input_layer1: layer_id=69: Const(ndarray).shape (1, 144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 144), dtype=tf.float32, name=None), name='tf.math.add_14/Add:0', description="created by layer 'tf.math.add_14'")
====================================================================================
layer_type: Const
layer_id: 71
tf_layers_dict: (144, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 72
input_layer0: layer_id=70: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 144), dtype=tf.float32, name=None), name='tf.math.add_14/Add:0', description="created by layer 'tf.math.add_14'")
input_layer1: layer_id=71: Const(ndarray).shape (144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 144), dtype=tf.float32, name=None), name='p_re_lu_17/add:0', description="created by layer 'p_re_lu_17'")
====================================================================================
layer_type: Const
layer_id: 73
tf_layers_dict: (32, 144, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 74
input_layer0: layer_id=72: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 144), dtype=tf.float32, name=None), name='p_re_lu_17/add:0', description="created by layer 'p_re_lu_17'")
input_layer1: layer_id=73: Const(ndarray).shape (32, 144, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='conv2d_9/Conv2D:0', description="created by layer 'conv2d_9'")
====================================================================================
layer_type: Const
layer_id: 75
tf_layers_dict: (1, 32, 1, 1)
====================================================================================
layer_type: Add
layer_id: 76
input_layer0: layer_id=74: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='conv2d_9/Conv2D:0', description="created by layer 'conv2d_9'")
input_layer1: layer_id=75: Const(ndarray).shape (1, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='tf.math.add_15/Add:0', description="created by layer 'tf.math.add_15'")
====================================================================================
layer_type: Const
layer_id: 77
tf_layers_dict: (192, 32, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 78
input_layer0: layer_id=76: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='tf.math.add_15/Add:0', description="created by layer 'tf.math.add_15'")
input_layer1: layer_id=77: Const(ndarray).shape (192, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='conv2d_10/Conv2D:0', description="created by layer 'conv2d_10'")
====================================================================================
layer_type: Const
layer_id: 79
tf_layers_dict: (1, 192, 1, 1)
====================================================================================
layer_type: Add
layer_id: 80
input_layer0: layer_id=78: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='conv2d_10/Conv2D:0', description="created by layer 'conv2d_10'")
input_layer1: layer_id=79: Const(ndarray).shape (1, 192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='tf.math.add_16/Add:0', description="created by layer 'tf.math.add_16'")
====================================================================================
layer_type: Const
layer_id: 81
tf_layers_dict: (192, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 82
input_layer0: layer_id=80: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='tf.math.add_16/Add:0', description="created by layer 'tf.math.add_16'")
input_layer1: layer_id=81: Const(ndarray).shape (192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='p_re_lu_19/add:0', description="created by layer 'p_re_lu_19'")
====================================================================================
layer_type: Const
layer_id: 83
tf_layers_dict: (192, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 84
input_layer0: layer_id=82: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='p_re_lu_19/add:0', description="created by layer 'p_re_lu_19'")
input_layer1: layer_id=83: Const(ndarray).shape (192, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='depthwise_conv2d_4/depthwise:0', description="created by layer 'depthwise_conv2d_4'")
====================================================================================
layer_type: Const
layer_id: 85
tf_layers_dict: (1, 192, 1, 1)
====================================================================================
layer_type: Add
layer_id: 86
input_layer0: layer_id=84: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='depthwise_conv2d_4/depthwise:0', description="created by layer 'depthwise_conv2d_4'")
input_layer1: layer_id=85: Const(ndarray).shape (1, 192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='tf.math.add_17/Add:0', description="created by layer 'tf.math.add_17'")
====================================================================================
layer_type: Const
layer_id: 87
tf_layers_dict: (192, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 88
input_layer0: layer_id=86: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='tf.math.add_17/Add:0', description="created by layer 'tf.math.add_17'")
input_layer1: layer_id=87: Const(ndarray).shape (192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='p_re_lu_21/add:0', description="created by layer 'p_re_lu_21'")
====================================================================================
layer_type: Const
layer_id: 89
tf_layers_dict: (32, 192, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 90
input_layer0: layer_id=88: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='p_re_lu_21/add:0', description="created by layer 'p_re_lu_21'")
input_layer1: layer_id=89: Const(ndarray).shape (32, 192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='conv2d_11/Conv2D:0', description="created by layer 'conv2d_11'")
====================================================================================
layer_type: Const
layer_id: 91
tf_layers_dict: (1, 32, 1, 1)
====================================================================================
layer_type: Add
layer_id: 92
input_layer0: layer_id=90: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='conv2d_11/Conv2D:0', description="created by layer 'conv2d_11'")
input_layer1: layer_id=91: Const(ndarray).shape (1, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='tf.math.add_18/Add:0', description="created by layer 'tf.math.add_18'")
====================================================================================
layer_type: Add
layer_id: 93
input_layer0: layer_id=76: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='tf.math.add_15/Add:0', description="created by layer 'tf.math.add_15'")
input_layer1: layer_id=92: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='tf.math.add_18/Add:0', description="created by layer 'tf.math.add_18'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='tf.math.add_19/Add:0', description="created by layer 'tf.math.add_19'")
====================================================================================
layer_type: Const
layer_id: 94
tf_layers_dict: (192, 32, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 95
input_layer0: layer_id=93: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 32), dtype=tf.float32, name=None), name='tf.math.add_19/Add:0', description="created by layer 'tf.math.add_19'")
input_layer1: layer_id=94: Const(ndarray).shape (192, 32, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='conv2d_12/Conv2D:0', description="created by layer 'conv2d_12'")
====================================================================================
layer_type: Const
layer_id: 96
tf_layers_dict: (1, 192, 1, 1)
====================================================================================
layer_type: Add
layer_id: 97
input_layer0: layer_id=95: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='conv2d_12/Conv2D:0', description="created by layer 'conv2d_12'")
input_layer1: layer_id=96: Const(ndarray).shape (1, 192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='tf.math.add_20/Add:0', description="created by layer 'tf.math.add_20'")
====================================================================================
layer_type: Const
layer_id: 98
tf_layers_dict: (192, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 99
input_layer0: layer_id=97: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='tf.math.add_20/Add:0', description="created by layer 'tf.math.add_20'")
input_layer1: layer_id=98: Const(ndarray).shape (192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='p_re_lu_23/add:0', description="created by layer 'p_re_lu_23'")
====================================================================================
layer_type: Const
layer_id: 100
tf_layers_dict: (192, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 101
input_layer0: layer_id=99: KerasTensor(type_spec=TensorSpec(shape=(1, 14, 14, 192), dtype=tf.float32, name=None), name='p_re_lu_23/add:0', description="created by layer 'p_re_lu_23'")
input_layer1: layer_id=100: Const(ndarray).shape (192, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 192), dtype=tf.float32, name=None), name='depthwise_conv2d_5/depthwise:0', description="created by layer 'depthwise_conv2d_5'")
====================================================================================
layer_type: Const
layer_id: 102
tf_layers_dict: (1, 192, 1, 1)
====================================================================================
layer_type: Add
layer_id: 103
input_layer0: layer_id=101: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 192), dtype=tf.float32, name=None), name='depthwise_conv2d_5/depthwise:0', description="created by layer 'depthwise_conv2d_5'")
input_layer1: layer_id=102: Const(ndarray).shape (1, 192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 192), dtype=tf.float32, name=None), name='tf.math.add_21/Add:0', description="created by layer 'tf.math.add_21'")
====================================================================================
layer_type: Const
layer_id: 104
tf_layers_dict: (192, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 105
input_layer0: layer_id=103: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 192), dtype=tf.float32, name=None), name='tf.math.add_21/Add:0', description="created by layer 'tf.math.add_21'")
input_layer1: layer_id=104: Const(ndarray).shape (192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 192), dtype=tf.float32, name=None), name='p_re_lu_25/add:0', description="created by layer 'p_re_lu_25'")
====================================================================================
layer_type: Const
layer_id: 106
tf_layers_dict: (64, 192, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 107
input_layer0: layer_id=105: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 192), dtype=tf.float32, name=None), name='p_re_lu_25/add:0', description="created by layer 'p_re_lu_25'")
input_layer1: layer_id=106: Const(ndarray).shape (64, 192, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='conv2d_13/Conv2D:0', description="created by layer 'conv2d_13'")
====================================================================================
layer_type: Const
layer_id: 108
tf_layers_dict: (1, 64, 1, 1)
====================================================================================
layer_type: Add
layer_id: 109
input_layer0: layer_id=107: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='conv2d_13/Conv2D:0', description="created by layer 'conv2d_13'")
input_layer1: layer_id=108: Const(ndarray).shape (1, 64, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_22/Add:0', description="created by layer 'tf.math.add_22'")
====================================================================================
layer_type: Const
layer_id: 110
tf_layers_dict: (384, 64, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 111
input_layer0: layer_id=109: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_22/Add:0', description="created by layer 'tf.math.add_22'")
input_layer1: layer_id=110: Const(ndarray).shape (384, 64, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='conv2d_14/Conv2D:0', description="created by layer 'conv2d_14'")
====================================================================================
layer_type: Const
layer_id: 112
tf_layers_dict: (1, 384, 1, 1)
====================================================================================
layer_type: Add
layer_id: 113
input_layer0: layer_id=111: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='conv2d_14/Conv2D:0', description="created by layer 'conv2d_14'")
input_layer1: layer_id=112: Const(ndarray).shape (1, 384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_23/Add:0', description="created by layer 'tf.math.add_23'")
====================================================================================
layer_type: Const
layer_id: 114
tf_layers_dict: (384, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 115
input_layer0: layer_id=113: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_23/Add:0', description="created by layer 'tf.math.add_23'")
input_layer1: layer_id=114: Const(ndarray).shape (384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_27/add:0', description="created by layer 'p_re_lu_27'")
====================================================================================
layer_type: Const
layer_id: 116
tf_layers_dict: (384, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 117
input_layer0: layer_id=115: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_27/add:0', description="created by layer 'p_re_lu_27'")
input_layer1: layer_id=116: Const(ndarray).shape (384, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='depthwise_conv2d_6/depthwise:0', description="created by layer 'depthwise_conv2d_6'")
====================================================================================
layer_type: Const
layer_id: 118
tf_layers_dict: (1, 384, 1, 1)
====================================================================================
layer_type: Add
layer_id: 119
input_layer0: layer_id=117: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='depthwise_conv2d_6/depthwise:0', description="created by layer 'depthwise_conv2d_6'")
input_layer1: layer_id=118: Const(ndarray).shape (1, 384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_24/Add:0', description="created by layer 'tf.math.add_24'")
====================================================================================
layer_type: Const
layer_id: 120
tf_layers_dict: (384, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 121
input_layer0: layer_id=119: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_24/Add:0', description="created by layer 'tf.math.add_24'")
input_layer1: layer_id=120: Const(ndarray).shape (384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_29/add:0', description="created by layer 'p_re_lu_29'")
====================================================================================
layer_type: Const
layer_id: 122
tf_layers_dict: (64, 384, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 123
input_layer0: layer_id=121: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_29/add:0', description="created by layer 'p_re_lu_29'")
input_layer1: layer_id=122: Const(ndarray).shape (64, 384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='conv2d_15/Conv2D:0', description="created by layer 'conv2d_15'")
====================================================================================
layer_type: Const
layer_id: 124
tf_layers_dict: (1, 64, 1, 1)
====================================================================================
layer_type: Add
layer_id: 125
input_layer0: layer_id=123: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='conv2d_15/Conv2D:0', description="created by layer 'conv2d_15'")
input_layer1: layer_id=124: Const(ndarray).shape (1, 64, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_25/Add:0', description="created by layer 'tf.math.add_25'")
====================================================================================
layer_type: Add
layer_id: 126
input_layer0: layer_id=109: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_22/Add:0', description="created by layer 'tf.math.add_22'")
input_layer1: layer_id=125: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_25/Add:0', description="created by layer 'tf.math.add_25'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_26/Add:0', description="created by layer 'tf.math.add_26'")
====================================================================================
layer_type: Const
layer_id: 127
tf_layers_dict: (384, 64, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 128
input_layer0: layer_id=126: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_26/Add:0', description="created by layer 'tf.math.add_26'")
input_layer1: layer_id=127: Const(ndarray).shape (384, 64, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='conv2d_16/Conv2D:0', description="created by layer 'conv2d_16'")
====================================================================================
layer_type: Const
layer_id: 129
tf_layers_dict: (1, 384, 1, 1)
====================================================================================
layer_type: Add
layer_id: 130
input_layer0: layer_id=128: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='conv2d_16/Conv2D:0', description="created by layer 'conv2d_16'")
input_layer1: layer_id=129: Const(ndarray).shape (1, 384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_27/Add:0', description="created by layer 'tf.math.add_27'")
====================================================================================
layer_type: Const
layer_id: 131
tf_layers_dict: (384, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 132
input_layer0: layer_id=130: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_27/Add:0', description="created by layer 'tf.math.add_27'")
input_layer1: layer_id=131: Const(ndarray).shape (384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_31/add:0', description="created by layer 'p_re_lu_31'")
====================================================================================
layer_type: Const
layer_id: 133
tf_layers_dict: (384, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 134
input_layer0: layer_id=132: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_31/add:0', description="created by layer 'p_re_lu_31'")
input_layer1: layer_id=133: Const(ndarray).shape (384, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='depthwise_conv2d_7/depthwise:0', description="created by layer 'depthwise_conv2d_7'")
====================================================================================
layer_type: Const
layer_id: 135
tf_layers_dict: (1, 384, 1, 1)
====================================================================================
layer_type: Add
layer_id: 136
input_layer0: layer_id=134: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='depthwise_conv2d_7/depthwise:0', description="created by layer 'depthwise_conv2d_7'")
input_layer1: layer_id=135: Const(ndarray).shape (1, 384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_28/Add:0', description="created by layer 'tf.math.add_28'")
====================================================================================
layer_type: Const
layer_id: 137
tf_layers_dict: (384, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 138
input_layer0: layer_id=136: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='tf.math.add_28/Add:0', description="created by layer 'tf.math.add_28'")
input_layer1: layer_id=137: Const(ndarray).shape (384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_33/add:0', description="created by layer 'p_re_lu_33'")
====================================================================================
layer_type: Const
layer_id: 139
tf_layers_dict: (96, 384, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 140
input_layer0: layer_id=138: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 384), dtype=tf.float32, name=None), name='p_re_lu_33/add:0', description="created by layer 'p_re_lu_33'")
input_layer1: layer_id=139: Const(ndarray).shape (96, 384, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_17/Conv2D:0', description="created by layer 'conv2d_17'")
====================================================================================
layer_type: Const
layer_id: 141
tf_layers_dict: (1, 96, 1, 1)
====================================================================================
layer_type: Add
layer_id: 142
input_layer0: layer_id=140: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_17/Conv2D:0', description="created by layer 'conv2d_17'")
input_layer1: layer_id=141: Const(ndarray).shape (1, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_29/Add:0', description="created by layer 'tf.math.add_29'")
====================================================================================
layer_type: Const
layer_id: 143
tf_layers_dict: (96, 64, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 144
input_layer0: layer_id=126: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 64), dtype=tf.float32, name=None), name='tf.math.add_26/Add:0', description="created by layer 'tf.math.add_26'")
input_layer1: layer_id=143: Const(ndarray).shape (96, 64, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_18/Conv2D:0', description="created by layer 'conv2d_18'")
====================================================================================
layer_type: Const
layer_id: 145
tf_layers_dict: (1, 96, 1, 1)
====================================================================================
layer_type: Add
layer_id: 146
input_layer0: layer_id=144: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_18/Conv2D:0', description="created by layer 'conv2d_18'")
input_layer1: layer_id=145: Const(ndarray).shape (1, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_30/Add:0', description="created by layer 'tf.math.add_30'")
====================================================================================
layer_type: Add
layer_id: 147
input_layer0: layer_id=142: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_29/Add:0', description="created by layer 'tf.math.add_29'")
input_layer1: layer_id=146: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_30/Add:0', description="created by layer 'tf.math.add_30'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_31/Add:0', description="created by layer 'tf.math.add_31'")
====================================================================================
layer_type: Const
layer_id: 148
tf_layers_dict: (576, 96, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 149
input_layer0: layer_id=147: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_31/Add:0', description="created by layer 'tf.math.add_31'")
input_layer1: layer_id=148: Const(ndarray).shape (576, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='conv2d_19/Conv2D:0', description="created by layer 'conv2d_19'")
====================================================================================
layer_type: Const
layer_id: 150
tf_layers_dict: (1, 576, 1, 1)
====================================================================================
layer_type: Add
layer_id: 151
input_layer0: layer_id=149: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='conv2d_19/Conv2D:0', description="created by layer 'conv2d_19'")
input_layer1: layer_id=150: Const(ndarray).shape (1, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_32/Add:0', description="created by layer 'tf.math.add_32'")
====================================================================================
layer_type: Const
layer_id: 152
tf_layers_dict: (576, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 153
input_layer0: layer_id=151: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_32/Add:0', description="created by layer 'tf.math.add_32'")
input_layer1: layer_id=152: Const(ndarray).shape (576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_35/add:0', description="created by layer 'p_re_lu_35'")
====================================================================================
layer_type: Const
layer_id: 154
tf_layers_dict: (576, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 155
input_layer0: layer_id=153: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_35/add:0', description="created by layer 'p_re_lu_35'")
input_layer1: layer_id=154: Const(ndarray).shape (576, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='depthwise_conv2d_8/depthwise:0', description="created by layer 'depthwise_conv2d_8'")
====================================================================================
layer_type: Const
layer_id: 156
tf_layers_dict: (1, 576, 1, 1)
====================================================================================
layer_type: Add
layer_id: 157
input_layer0: layer_id=155: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='depthwise_conv2d_8/depthwise:0', description="created by layer 'depthwise_conv2d_8'")
input_layer1: layer_id=156: Const(ndarray).shape (1, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_33/Add:0', description="created by layer 'tf.math.add_33'")
====================================================================================
layer_type: Const
layer_id: 158
tf_layers_dict: (576, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 159
input_layer0: layer_id=157: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_33/Add:0', description="created by layer 'tf.math.add_33'")
input_layer1: layer_id=158: Const(ndarray).shape (576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_37/add:0', description="created by layer 'p_re_lu_37'")
====================================================================================
layer_type: Const
layer_id: 160
tf_layers_dict: (96, 576, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 161
input_layer0: layer_id=159: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_37/add:0', description="created by layer 'p_re_lu_37'")
input_layer1: layer_id=160: Const(ndarray).shape (96, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_20/Conv2D:0', description="created by layer 'conv2d_20'")
====================================================================================
layer_type: Const
layer_id: 162
tf_layers_dict: (1, 96, 1, 1)
====================================================================================
layer_type: Add
layer_id: 163
input_layer0: layer_id=161: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_20/Conv2D:0', description="created by layer 'conv2d_20'")
input_layer1: layer_id=162: Const(ndarray).shape (1, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_34/Add:0', description="created by layer 'tf.math.add_34'")
====================================================================================
layer_type: Add
layer_id: 164
input_layer0: layer_id=147: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_31/Add:0', description="created by layer 'tf.math.add_31'")
input_layer1: layer_id=163: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_34/Add:0', description="created by layer 'tf.math.add_34'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_35/Add:0', description="created by layer 'tf.math.add_35'")
====================================================================================
layer_type: Const
layer_id: 165
tf_layers_dict: (576, 96, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 166
input_layer0: layer_id=164: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_35/Add:0', description="created by layer 'tf.math.add_35'")
input_layer1: layer_id=165: Const(ndarray).shape (576, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='conv2d_21/Conv2D:0', description="created by layer 'conv2d_21'")
====================================================================================
layer_type: Const
layer_id: 167
tf_layers_dict: (1, 576, 1, 1)
====================================================================================
layer_type: Add
layer_id: 168
input_layer0: layer_id=166: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='conv2d_21/Conv2D:0', description="created by layer 'conv2d_21'")
input_layer1: layer_id=167: Const(ndarray).shape (1, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_36/Add:0', description="created by layer 'tf.math.add_36'")
====================================================================================
layer_type: Const
layer_id: 169
tf_layers_dict: (576, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 170
input_layer0: layer_id=168: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_36/Add:0', description="created by layer 'tf.math.add_36'")
input_layer1: layer_id=169: Const(ndarray).shape (576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_39/add:0', description="created by layer 'p_re_lu_39'")
====================================================================================
layer_type: Const
layer_id: 171
tf_layers_dict: (576, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 172
input_layer0: layer_id=170: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_39/add:0', description="created by layer 'p_re_lu_39'")
input_layer1: layer_id=171: Const(ndarray).shape (576, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='depthwise_conv2d_9/depthwise:0', description="created by layer 'depthwise_conv2d_9'")
====================================================================================
layer_type: Const
layer_id: 173
tf_layers_dict: (1, 576, 1, 1)
====================================================================================
layer_type: Add
layer_id: 174
input_layer0: layer_id=172: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='depthwise_conv2d_9/depthwise:0', description="created by layer 'depthwise_conv2d_9'")
input_layer1: layer_id=173: Const(ndarray).shape (1, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_37/Add:0', description="created by layer 'tf.math.add_37'")
====================================================================================
layer_type: Const
layer_id: 175
tf_layers_dict: (576, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 176
input_layer0: layer_id=174: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_37/Add:0', description="created by layer 'tf.math.add_37'")
input_layer1: layer_id=175: Const(ndarray).shape (576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_41/add:0', description="created by layer 'p_re_lu_41'")
====================================================================================
layer_type: Const
layer_id: 177
tf_layers_dict: (96, 576, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 178
input_layer0: layer_id=176: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_41/add:0', description="created by layer 'p_re_lu_41'")
input_layer1: layer_id=177: Const(ndarray).shape (96, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_22/Conv2D:0', description="created by layer 'conv2d_22'")
====================================================================================
layer_type: Const
layer_id: 179
tf_layers_dict: (1, 96, 1, 1)
====================================================================================
layer_type: Add
layer_id: 180
input_layer0: layer_id=178: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='conv2d_22/Conv2D:0', description="created by layer 'conv2d_22'")
input_layer1: layer_id=179: Const(ndarray).shape (1, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_38/Add:0', description="created by layer 'tf.math.add_38'")
====================================================================================
layer_type: Add
layer_id: 181
input_layer0: layer_id=164: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_35/Add:0', description="created by layer 'tf.math.add_35'")
input_layer1: layer_id=180: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_38/Add:0', description="created by layer 'tf.math.add_38'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_39/Add:0', description="created by layer 'tf.math.add_39'")
====================================================================================
layer_type: Const
layer_id: 182
tf_layers_dict: (576, 96, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 183
input_layer0: layer_id=181: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 96), dtype=tf.float32, name=None), name='tf.math.add_39/Add:0', description="created by layer 'tf.math.add_39'")
input_layer1: layer_id=182: Const(ndarray).shape (576, 96, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='conv2d_23/Conv2D:0', description="created by layer 'conv2d_23'")
====================================================================================
layer_type: Const
layer_id: 184
tf_layers_dict: (1, 576, 1, 1)
====================================================================================
layer_type: Add
layer_id: 185
input_layer0: layer_id=183: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='conv2d_23/Conv2D:0', description="created by layer 'conv2d_23'")
input_layer1: layer_id=184: Const(ndarray).shape (1, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_40/Add:0', description="created by layer 'tf.math.add_40'")
====================================================================================
layer_type: Const
layer_id: 186
tf_layers_dict: (576, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 187
input_layer0: layer_id=185: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='tf.math.add_40/Add:0', description="created by layer 'tf.math.add_40'")
input_layer1: layer_id=186: Const(ndarray).shape (576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_43/add:0', description="created by layer 'p_re_lu_43'")
====================================================================================
layer_type: Const
layer_id: 188
tf_layers_dict: (576, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 189
input_layer0: layer_id=187: KerasTensor(type_spec=TensorSpec(shape=(1, 7, 7, 576), dtype=tf.float32, name=None), name='p_re_lu_43/add:0', description="created by layer 'p_re_lu_43'")
input_layer1: layer_id=188: Const(ndarray).shape (576, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 576), dtype=tf.float32, name=None), name='depthwise_conv2d_10/depthwise:0', description="created by layer 'depthwise_conv2d_10'")
====================================================================================
layer_type: Const
layer_id: 190
tf_layers_dict: (1, 576, 1, 1)
====================================================================================
layer_type: Add
layer_id: 191
input_layer0: layer_id=189: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 576), dtype=tf.float32, name=None), name='depthwise_conv2d_10/depthwise:0', description="created by layer 'depthwise_conv2d_10'")
input_layer1: layer_id=190: Const(ndarray).shape (1, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 576), dtype=tf.float32, name=None), name='tf.math.add_41/Add:0', description="created by layer 'tf.math.add_41'")
====================================================================================
layer_type: Const
layer_id: 192
tf_layers_dict: (576, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 193
input_layer0: layer_id=191: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 576), dtype=tf.float32, name=None), name='tf.math.add_41/Add:0', description="created by layer 'tf.math.add_41'")
input_layer1: layer_id=192: Const(ndarray).shape (576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 576), dtype=tf.float32, name=None), name='p_re_lu_45/add:0', description="created by layer 'p_re_lu_45'")
====================================================================================
layer_type: Const
layer_id: 194
tf_layers_dict: (160, 576, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 195
input_layer0: layer_id=193: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 576), dtype=tf.float32, name=None), name='p_re_lu_45/add:0', description="created by layer 'p_re_lu_45'")
input_layer1: layer_id=194: Const(ndarray).shape (160, 576, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='conv2d_24/Conv2D:0', description="created by layer 'conv2d_24'")
====================================================================================
layer_type: Const
layer_id: 196
tf_layers_dict: (1, 160, 1, 1)
====================================================================================
layer_type: Add
layer_id: 197
input_layer0: layer_id=195: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='conv2d_24/Conv2D:0', description="created by layer 'conv2d_24'")
input_layer1: layer_id=196: Const(ndarray).shape (1, 160, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_42/Add:0', description="created by layer 'tf.math.add_42'")
====================================================================================
layer_type: Const
layer_id: 198
tf_layers_dict: (960, 160, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 199
input_layer0: layer_id=197: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_42/Add:0', description="created by layer 'tf.math.add_42'")
input_layer1: layer_id=198: Const(ndarray).shape (960, 160, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='conv2d_25/Conv2D:0', description="created by layer 'conv2d_25'")
====================================================================================
layer_type: Const
layer_id: 200
tf_layers_dict: (1, 960, 1, 1)
====================================================================================
layer_type: Add
layer_id: 201
input_layer0: layer_id=199: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='conv2d_25/Conv2D:0', description="created by layer 'conv2d_25'")
input_layer1: layer_id=200: Const(ndarray).shape (1, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_43/Add:0', description="created by layer 'tf.math.add_43'")
====================================================================================
layer_type: Const
layer_id: 202
tf_layers_dict: (960, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 203
input_layer0: layer_id=201: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_43/Add:0', description="created by layer 'tf.math.add_43'")
input_layer1: layer_id=202: Const(ndarray).shape (960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_47/add:0', description="created by layer 'p_re_lu_47'")
====================================================================================
layer_type: Const
layer_id: 204
tf_layers_dict: (960, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 205
input_layer0: layer_id=203: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_47/add:0', description="created by layer 'p_re_lu_47'")
input_layer1: layer_id=204: Const(ndarray).shape (960, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='depthwise_conv2d_11/depthwise:0', description="created by layer 'depthwise_conv2d_11'")
====================================================================================
layer_type: Const
layer_id: 206
tf_layers_dict: (1, 960, 1, 1)
====================================================================================
layer_type: Add
layer_id: 207
input_layer0: layer_id=205: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='depthwise_conv2d_11/depthwise:0', description="created by layer 'depthwise_conv2d_11'")
input_layer1: layer_id=206: Const(ndarray).shape (1, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_44/Add:0', description="created by layer 'tf.math.add_44'")
====================================================================================
layer_type: Const
layer_id: 208
tf_layers_dict: (960, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 209
input_layer0: layer_id=207: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_44/Add:0', description="created by layer 'tf.math.add_44'")
input_layer1: layer_id=208: Const(ndarray).shape (960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_49/add:0', description="created by layer 'p_re_lu_49'")
====================================================================================
layer_type: Const
layer_id: 210
tf_layers_dict: (160, 960, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 211
input_layer0: layer_id=209: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_49/add:0', description="created by layer 'p_re_lu_49'")
input_layer1: layer_id=210: Const(ndarray).shape (160, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='conv2d_26/Conv2D:0', description="created by layer 'conv2d_26'")
====================================================================================
layer_type: Const
layer_id: 212
tf_layers_dict: (1, 160, 1, 1)
====================================================================================
layer_type: Add
layer_id: 213
input_layer0: layer_id=211: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='conv2d_26/Conv2D:0', description="created by layer 'conv2d_26'")
input_layer1: layer_id=212: Const(ndarray).shape (1, 160, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_45/Add:0', description="created by layer 'tf.math.add_45'")
====================================================================================
layer_type: Add
layer_id: 214
input_layer0: layer_id=197: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_42/Add:0', description="created by layer 'tf.math.add_42'")
input_layer1: layer_id=213: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_45/Add:0', description="created by layer 'tf.math.add_45'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_46/Add:0', description="created by layer 'tf.math.add_46'")
====================================================================================
layer_type: Const
layer_id: 215
tf_layers_dict: (960, 160, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 216
input_layer0: layer_id=214: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_46/Add:0', description="created by layer 'tf.math.add_46'")
input_layer1: layer_id=215: Const(ndarray).shape (960, 160, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='conv2d_27/Conv2D:0', description="created by layer 'conv2d_27'")
====================================================================================
layer_type: Const
layer_id: 217
tf_layers_dict: (1, 960, 1, 1)
====================================================================================
layer_type: Add
layer_id: 218
input_layer0: layer_id=216: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='conv2d_27/Conv2D:0', description="created by layer 'conv2d_27'")
input_layer1: layer_id=217: Const(ndarray).shape (1, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_47/Add:0', description="created by layer 'tf.math.add_47'")
====================================================================================
layer_type: Const
layer_id: 219
tf_layers_dict: (960, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 220
input_layer0: layer_id=218: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_47/Add:0', description="created by layer 'tf.math.add_47'")
input_layer1: layer_id=219: Const(ndarray).shape (960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_51/add:0', description="created by layer 'p_re_lu_51'")
====================================================================================
layer_type: Const
layer_id: 221
tf_layers_dict: (960, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 222
input_layer0: layer_id=220: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_51/add:0', description="created by layer 'p_re_lu_51'")
input_layer1: layer_id=221: Const(ndarray).shape (960, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='depthwise_conv2d_12/depthwise:0', description="created by layer 'depthwise_conv2d_12'")
====================================================================================
layer_type: Const
layer_id: 223
tf_layers_dict: (1, 960, 1, 1)
====================================================================================
layer_type: Add
layer_id: 224
input_layer0: layer_id=222: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='depthwise_conv2d_12/depthwise:0', description="created by layer 'depthwise_conv2d_12'")
input_layer1: layer_id=223: Const(ndarray).shape (1, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_48/Add:0', description="created by layer 'tf.math.add_48'")
====================================================================================
layer_type: Const
layer_id: 225
tf_layers_dict: (960, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 226
input_layer0: layer_id=224: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_48/Add:0', description="created by layer 'tf.math.add_48'")
input_layer1: layer_id=225: Const(ndarray).shape (960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_53/add:0', description="created by layer 'p_re_lu_53'")
====================================================================================
layer_type: Const
layer_id: 227
tf_layers_dict: (160, 960, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 228
input_layer0: layer_id=226: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_53/add:0', description="created by layer 'p_re_lu_53'")
input_layer1: layer_id=227: Const(ndarray).shape (160, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='conv2d_28/Conv2D:0', description="created by layer 'conv2d_28'")
====================================================================================
layer_type: Const
layer_id: 229
tf_layers_dict: (1, 160, 1, 1)
====================================================================================
layer_type: Add
layer_id: 230
input_layer0: layer_id=228: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='conv2d_28/Conv2D:0', description="created by layer 'conv2d_28'")
input_layer1: layer_id=229: Const(ndarray).shape (1, 160, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_49/Add:0', description="created by layer 'tf.math.add_49'")
====================================================================================
layer_type: Add
layer_id: 231
input_layer0: layer_id=214: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_46/Add:0', description="created by layer 'tf.math.add_46'")
input_layer1: layer_id=230: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_49/Add:0', description="created by layer 'tf.math.add_49'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_50/Add:0', description="created by layer 'tf.math.add_50'")
====================================================================================
layer_type: Const
layer_id: 232
tf_layers_dict: (960, 160, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 233
input_layer0: layer_id=231: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_50/Add:0', description="created by layer 'tf.math.add_50'")
input_layer1: layer_id=232: Const(ndarray).shape (960, 160, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='conv2d_29/Conv2D:0', description="created by layer 'conv2d_29'")
====================================================================================
layer_type: Const
layer_id: 234
tf_layers_dict: (1, 960, 1, 1)
====================================================================================
layer_type: Add
layer_id: 235
input_layer0: layer_id=233: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='conv2d_29/Conv2D:0', description="created by layer 'conv2d_29'")
input_layer1: layer_id=234: Const(ndarray).shape (1, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_51/Add:0', description="created by layer 'tf.math.add_51'")
====================================================================================
layer_type: Const
layer_id: 236
tf_layers_dict: (960, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 237
input_layer0: layer_id=235: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_51/Add:0', description="created by layer 'tf.math.add_51'")
input_layer1: layer_id=236: Const(ndarray).shape (960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_55/add:0', description="created by layer 'p_re_lu_55'")
====================================================================================
layer_type: Const
layer_id: 238
tf_layers_dict: (960, 1, 1, 3, 3)
====================================================================================
layer_type: GroupConvolution
layer_id: 239
input_layer0: layer_id=237: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_55/add:0', description="created by layer 'p_re_lu_55'")
input_layer1: layer_id=238: Const(ndarray).shape (960, 1, 1, 3, 3)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='depthwise_conv2d_13/depthwise:0', description="created by layer 'depthwise_conv2d_13'")
====================================================================================
layer_type: Const
layer_id: 240
tf_layers_dict: (1, 960, 1, 1)
====================================================================================
layer_type: Add
layer_id: 241
input_layer0: layer_id=239: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='depthwise_conv2d_13/depthwise:0', description="created by layer 'depthwise_conv2d_13'")
input_layer1: layer_id=240: Const(ndarray).shape (1, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_52/Add:0', description="created by layer 'tf.math.add_52'")
====================================================================================
layer_type: Const
layer_id: 242
tf_layers_dict: (960, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 243
input_layer0: layer_id=241: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='tf.math.add_52/Add:0', description="created by layer 'tf.math.add_52'")
input_layer1: layer_id=242: Const(ndarray).shape (960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_57/add:0', description="created by layer 'p_re_lu_57'")
====================================================================================
layer_type: Const
layer_id: 244
tf_layers_dict: (240, 960, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 245
input_layer0: layer_id=243: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 960), dtype=tf.float32, name=None), name='p_re_lu_57/add:0', description="created by layer 'p_re_lu_57'")
input_layer1: layer_id=244: Const(ndarray).shape (240, 960, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='conv2d_30/Conv2D:0', description="created by layer 'conv2d_30'")
====================================================================================
layer_type: Const
layer_id: 246
tf_layers_dict: (1, 240, 1, 1)
====================================================================================
layer_type: Add
layer_id: 247
input_layer0: layer_id=245: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='conv2d_30/Conv2D:0', description="created by layer 'conv2d_30'")
input_layer1: layer_id=246: Const(ndarray).shape (1, 240, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='tf.math.add_53/Add:0', description="created by layer 'tf.math.add_53'")
====================================================================================
layer_type: Const
layer_id: 248
tf_layers_dict: (240, 160, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 249
input_layer0: layer_id=231: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 160), dtype=tf.float32, name=None), name='tf.math.add_50/Add:0', description="created by layer 'tf.math.add_50'")
input_layer1: layer_id=248: Const(ndarray).shape (240, 160, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='conv2d_31/Conv2D:0', description="created by layer 'conv2d_31'")
====================================================================================
layer_type: Const
layer_id: 250
tf_layers_dict: (1, 240, 1, 1)
====================================================================================
layer_type: Add
layer_id: 251
input_layer0: layer_id=249: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='conv2d_31/Conv2D:0', description="created by layer 'conv2d_31'")
input_layer1: layer_id=250: Const(ndarray).shape (1, 240, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='tf.math.add_54/Add:0', description="created by layer 'tf.math.add_54'")
====================================================================================
layer_type: Add
layer_id: 252
input_layer0: layer_id=247: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='tf.math.add_53/Add:0', description="created by layer 'tf.math.add_53'")
input_layer1: layer_id=251: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='tf.math.add_54/Add:0', description="created by layer 'tf.math.add_54'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='tf.math.add_55/Add:0', description="created by layer 'tf.math.add_55'")
====================================================================================
layer_type: Const
layer_id: 253
tf_layers_dict: (512, 240, 1, 1)
====================================================================================
layer_type: Convolution
layer_id: 254
input_layer0: layer_id=252: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 240), dtype=tf.float32, name=None), name='tf.math.add_55/Add:0', description="created by layer 'tf.math.add_55'")
input_layer1: layer_id=253: Const(ndarray).shape (512, 240, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 512), dtype=tf.float32, name=None), name='conv2d_32/Conv2D:0', description="created by layer 'conv2d_32'")
====================================================================================
layer_type: Const
layer_id: 255
tf_layers_dict: (1, 512, 1, 1)
====================================================================================
layer_type: Add
layer_id: 256
input_layer0: layer_id=254: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 512), dtype=tf.float32, name=None), name='conv2d_32/Conv2D:0', description="created by layer 'conv2d_32'")
input_layer1: layer_id=255: Const(ndarray).shape (1, 512, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 512), dtype=tf.float32, name=None), name='tf.math.add_56/Add:0', description="created by layer 'tf.math.add_56'")
====================================================================================
layer_type: Const
layer_id: 257
tf_layers_dict: (512, 1, 1)
====================================================================================
layer_type: PReLU
layer_id: 258
input_layer0: layer_id=256: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 512), dtype=tf.float32, name=None), name='tf.math.add_56/Add:0', description="created by layer 'tf.math.add_56'")
input_layer1: layer_id=257: Const(ndarray).shape (512, 1, 1)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 512), dtype=tf.float32, name=None), name='p_re_lu_59/add:0', description="created by layer 'p_re_lu_59'")
====================================================================================
layer_type: AvgPool
layer_id: 259
input_layer0: layer_id=258: KerasTensor(type_spec=TensorSpec(shape=(1, 4, 4, 512), dtype=tf.float32, name=None), name='p_re_lu_59/add:0', description="created by layer 'p_re_lu_59'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 1, 1, 512), dtype=tf.float32, name=None), name='average_pooling2d/AvgPool:0', description="created by layer 'average_pooling2d'")
====================================================================================
layer_type: ShapeOf
layer_id: 260
input_layer0: layer_id=259: KerasTensor(type_spec=TensorSpec(shape=(1, 1, 1, 512), dtype=tf.float32, name=None), name='average_pooling2d/AvgPool:0', description="created by layer 'average_pooling2d'")
tf_layers_dict: [ 1 1 1 512]
====================================================================================
layer_type: Const
layer_id: 261
tf_layers_dict: (1,)
====================================================================================
layer_type: Const
layer_id: 262
tf_layers_dict: (1,)
====================================================================================
layer_type: Gather
layer_id: 263
input_layer0: layer_id=260: [ 1 1 1 512]
input_layer1: layer_id=261: Const(ndarray).shape (1,)
input_layer2: layer_id=262: Const(ndarray).shape (1,)
tf_layers_dict: [1]
====================================================================================
layer_type: Const
layer_id: 264
tf_layers_dict: (1,)
====================================================================================
layer_type: Unsqueeze
layer_id: 265
input_layer0: layer_id=263: [1]
input_layer1: layer_id=264: Const(ndarray).shape (1,)
tf_layers_dict: [1]
====================================================================================
layer_type: Const
layer_id: 266
tf_layers_dict: (1,)
====================================================================================
layer_type: Concat
layer_id: 267
input_layer0: layer_id=265: [1]
input_layer1: layer_id=266: Const(ndarray).shape (1,)
tf_layers_dict: [ 1 -1]
====================================================================================
layer_type: Reshape
layer_id: 268
input_layer0: layer_id=259: KerasTensor(type_spec=TensorSpec(shape=(1, 1, 1, 512), dtype=tf.float32, name=None), name='average_pooling2d/AvgPool:0', description="created by layer 'average_pooling2d'")
input_layer1: layer_id=267: [ 1 -1]
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 512), dtype=tf.float32, name=None), name='tf.reshape/Reshape:0', description="created by layer 'tf.reshape'")
====================================================================================
layer_type: Const
layer_id: 269
tf_layers_dict: (256, 512)
====================================================================================
layer_type: MatMul
layer_id: 270
input_layer0: layer_id=268: KerasTensor(type_spec=TensorSpec(shape=(1, 512), dtype=tf.float32, name=None), name='tf.reshape/Reshape:0', description="created by layer 'tf.reshape'")
input_layer1: layer_id=269: Const(ndarray).shape (256, 512)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 256), dtype=tf.float32, name=None), name='tf.linalg.matmul/MatMul:0', description="created by layer 'tf.linalg.matmul'")
====================================================================================
layer_type: Const
layer_id: 271
tf_layers_dict: (1, 256)
====================================================================================
layer_type: Add
layer_id: 272
input_layer0: layer_id=270: KerasTensor(type_spec=TensorSpec(shape=(1, 256), dtype=tf.float32, name=None), name='tf.linalg.matmul/MatMul:0', description="created by layer 'tf.linalg.matmul'")
input_layer1: layer_id=271: Const(ndarray).shape (1, 256)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 256), dtype=tf.float32, name=None), name='tf.math.add_57/Add:0', description="created by layer 'tf.math.add_57'")
====================================================================================
layer_type: Const
layer_id: 273
tf_layers_dict: (2, 256)
====================================================================================
layer_type: MatMul
layer_id: 274
input_layer0: layer_id=272: KerasTensor(type_spec=TensorSpec(shape=(1, 256), dtype=tf.float32, name=None), name='tf.math.add_57/Add:0', description="created by layer 'tf.math.add_57'")
input_layer1: layer_id=273: Const(ndarray).shape (2, 256)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 2), dtype=tf.float32, name=None), name='tf.linalg.matmul_1/MatMul:0', description="created by layer 'tf.linalg.matmul_1'")
====================================================================================
layer_type: Const
layer_id: 275
tf_layers_dict: (1, 2)
====================================================================================
layer_type: Add
layer_id: 276
input_layer0: layer_id=274: KerasTensor(type_spec=TensorSpec(shape=(1, 2), dtype=tf.float32, name=None), name='tf.linalg.matmul_1/MatMul:0', description="created by layer 'tf.linalg.matmul_1'")
input_layer1: layer_id=275: Const(ndarray).shape (1, 2)
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 2), dtype=tf.float32, name=None), name='tf.math.add_58/Add:0', description="created by layer 'tf.math.add_58'")
====================================================================================
layer_type: Result
layer_id: 277
input_layer0: layer_id=276: KerasTensor(type_spec=TensorSpec(shape=(1, 2), dtype=tf.float32, name=None), name='tf.math.add_58/Add:0', description="created by layer 'tf.math.add_58'")
tf_layers_dict: KerasTensor(type_spec=TensorSpec(shape=(1, 2), dtype=tf.float32, name=None), name='tf.identity/Identity:0', description="created by layer 'tf.identity'")
====================================================================================
TensorFlow/Keras model building process complete!
tflite Float32 convertion started ===================================================
tflite Float32 convertion complete! - saved_model/model_float32.tflite
All the conversion process is finished! =============================================
Thanks for your great work! When I use this to do convert openvino to tensorflow, It occurs error: Eager execution of tf.constant with unsupported shape , and the PRELU op convert failed.
convert shell script :
Issue Details
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openvino models
FP32.zip