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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
+ }
+ }
+ }
+}