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# A simple network that has DepthwiseConv2dNative with 'SAME' padding and strides.
# HOW TO GENERATE:
# import tensorflow as tf
# input = tf.placeholder(tf.float32, shape=[1,11,7,3], name="input")
# filter = tf.constant(1.0, shape=[2,3,3,4], dtype=tf.float32)
# dwconv = tf.nn.depthwise_conv2d_native(input,filter,[1,2,2,1],'SAME')
# tf.get_default_graph().as_graph_def()
node {
name: "input"
op: "Placeholder"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "shape"
value {
shape {
dim {
size: 1
}
dim {
size: 11
}
dim {
size: 7
}
dim {
size: 3
}
}
}
}
}
node {
name: "Const"
op: "Const"
attr {
key: "dtype"
value {
type: DT_FLOAT
}
}
attr {
key: "value"
value {
tensor {
dtype: DT_FLOAT
tensor_shape {
dim {
size: 2
}
dim {
size: 3
}
dim {
size: 3
}
dim {
size: 4
}
}
float_val: 1.0
}
}
}
}
node {
name: "DepthwiseConv2dNative"
op: "DepthwiseConv2dNative"
input: "input"
input: "Const"
attr {
key: "T"
value {
type: DT_FLOAT
}
}
attr {
key: "data_format"
value {
s: "NHWC"
}
}
attr {
key: "dilations"
value {
list {
i: 1
i: 1
i: 1
i: 1
}
}
}
attr {
key: "padding"
value {
s: "SAME"
}
}
attr {
key: "strides"
value {
list {
i: 1
i: 2
i: 2
i: 1
}
}
}
}
|
