This commit adds TF_SMALL_NET_0014, a mock Epilogue network using ReLU
instead of Softmax
Signed-off-by: Cheongyo Bahk <ch.bahk@samsung.com>
--- /dev/null
+input, placeholder:0, TF_FLOAT, [2, 1, 1, 3]
+output, reshape_2:0, TF_FLOAT, [2, 3]
--- /dev/null
+# Mock of the Epilogue, using ReLU instead of Softmax
+node {
+ name: "placeholder"
+ op: "Placeholder"
+ attr {
+ key: "dtype"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "shape"
+ value {
+ shape {
+ dim { size: 2 }
+ dim { size: 1 }
+ dim { size: 1 }
+ dim { size: 3 }
+ }
+ }
+ }
+}
+node {
+ name: "squeeze"
+ op: "Squeeze"
+ input: "placeholder"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "squeeze_dims"
+ value {
+ list { i: 1 i: 2 }
+ }
+ }
+}
+node {
+ name: "Reshape/shape"
+ op: "Const"
+ attr {
+ key: "dtype"
+ value { type: DT_INT32 }
+ }
+ attr {
+ key: "value"
+ value {
+ tensor {
+ dtype: DT_INT32
+ tensor_shape {
+ dim { size: 2 }
+ }
+ int_val: -1
+ int_val: 3
+ }
+ }
+ }
+}
+node {
+ name: "reshape_1"
+ op: "Reshape"
+ input: "squeeze"
+ input: "Reshape/shape"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "Tshape"
+ value { type: DT_INT32 }
+ }
+}
+node {
+ name: "relu"
+ op: "Relu"
+ input: "reshape_1"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+}
+node {
+ name: "shape"
+ op: "Shape"
+ input: "squeeze"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "out_type"
+ value { type: DT_INT32 }
+ }
+}
+node {
+ name: "reshape_2"
+ op: "Reshape"
+ input: "relu"
+ input: "shape"
+ attr {
+ key: "T"
+ value { type: DT_FLOAT }
+ }
+ attr {
+ key: "Tshape"
+ value { type: DT_INT32 }
+ }
+}