From: 박천교/On-Device Lab(SR)/Engineer/삼성전자 <ch.bahk@samsung.com>
Date: Thu, 8 Aug 2019 07:23:31 +0000 (+0900)
Subject: [res] Small network mocking the Epilogue (#6375)
X-Git-Tag: submit/tizen/20190809.050447~24
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=89b50c6bfaa9c54c6dde445894843cd433dea6a9;p=platform%2Fcore%2Fml%2Fnnfw.git

[res] Small network mocking the Epilogue (#6375)

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>
---

diff --git a/res/TensorFlowTests/TF_SMALL_NET_0014/test.info b/res/TensorFlowTests/TF_SMALL_NET_0014/test.info
new file mode 100644
index 0000000..d3ea85a
--- /dev/null
+++ b/res/TensorFlowTests/TF_SMALL_NET_0014/test.info
@@ -0,0 +1,2 @@
+input,  placeholder:0,  TF_FLOAT,   [2, 1, 1, 3]
+output, reshape_2:0,    TF_FLOAT,   [2, 3]
diff --git a/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt b/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt
new file mode 100644
index 0000000..d4bc8e6
--- /dev/null
+++ b/res/TensorFlowTests/TF_SMALL_NET_0014/test.pbtxt
@@ -0,0 +1,106 @@
+# 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 }
+  }
+}