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+# A simple network that has "Concat" in between feature operations.
+#
+# Placeholder -+-> MaxPool2D -+-> Concat -> MaxPool2D
+# | |
+# +-> MaxPool2D -+
+#
+node {
+ name: "placeholder"
+ op: "Placeholder"
+ attr {
+ key: "dtype"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "shape"
+ value {
+ shape {
+ dim { size: 1 } # N
+ dim { size: 7 } # H
+ dim { size: 7 } # W
+ dim { size: 1 } # C
+ }
+ }
+ }
+}
+node {
+ name: "maxpool_1"
+ op: "MaxPool"
+ input: "placeholder"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "data_format"
+ value { s: "NHWC" }
+ }
+ attr {
+ key: "ksize"
+ value {
+ list { i: 1 i: 1 i: 1 i: 1 }
+ }
+ }
+ attr {
+ key: "padding"
+ value { s: "VALID" }
+ }
+ attr {
+ key: "strides"
+ value {
+ list { i: 1 i: 1 i: 1 i: 1 }
+ }
+ }
+}
+node {
+ name: "maxpool_2"
+ op: "MaxPool"
+ input: "placeholder"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "data_format"
+ value { s: "NHWC" }
+ }
+ attr {
+ key: "ksize"
+ value {
+ list { i: 1 i: 1 i: 1 i: 1 }
+ }
+ }
+ attr {
+ key: "padding"
+ value { s: "VALID" }
+ }
+ attr {
+ key: "strides"
+ value {
+ list { i: 1 i: 1 i: 1 i: 1 }
+ }
+ }
+}
+node {
+ name: "axis"
+ op: "Const"
+ attr {
+ key: "dtype"
+ value { type: DT_INT32 }
+ }
+ attr {
+ key: "value"
+ value {
+ tensor {
+ dtype: DT_INT32
+ tensor_shape { }
+ int_val: 3
+ }
+ }
+ }
+}
+node {
+ name: "concat"
+ op: "ConcatV2"
+ input: "maxpool_1"
+ input: "maxpool_2"
+ input: "axis"
+ attr {
+ key: "N"
+ value { i: 2 }
+ }
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "Tidx"
+ value { type: DT_INT32 }
+ }
+}
+node {
+ name: "maxpool"
+ op: "MaxPool"
+ input: "concat"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "data_format"
+ value { s: "NHWC" }
+ }
+ attr {
+ key: "ksize"
+ value {
+ list { i: 1 i: 1 i: 1 i: 1 }
+ }
+ }
+ attr {
+ key: "padding"
+ value { s: "VALID" }
+ }
+ attr {
+ key: "strides"
+ value {
+ list { i: 1 i: 1 i: 1 i: 1 }
+ }
+ }
+}