From: 채성우/On-Device Lab(SR)/Engineer/삼성전자 <sw4670.chae@samsung.com>
Date: Thu, 10 Oct 2019 08:46:01 +0000 (+0900)
Subject: [res] Rename testcase as convention (#8029)
X-Git-Tag: submit/tizen/20191205.083104~888
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=5d880cba2963fa13ca82c0c32343f93d23b63ca3;p=platform%2Fcore%2Fml%2Fnnfw.git

[res] Rename testcase as convention (#8029)

* [res] rename testcase as convention

This commit renames some testcase as naming convention.

Signed-off-by: seongwoo <sw4670.chae@samsung.com>

* apply comment.
---

diff --git a/res/TensorFlowTests/UNIT_ConcatV2_000/test.info b/res/TensorFlowTests/UNIT_ConcatV2_000/test.info
new file mode 100644
index 0000000..9ea940f
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_ConcatV2_000/test.info
@@ -0,0 +1 @@
+output, Concat:0, TF_FLOAT, [4, 3]
diff --git a/res/TensorFlowTests/UNIT_ConcatV2_000/test.pbtxt b/res/TensorFlowTests/UNIT_ConcatV2_000/test.pbtxt
new file mode 100644
index 0000000..77dbea7
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_ConcatV2_000/test.pbtxt
@@ -0,0 +1,110 @@
+node {
+  name: "Input01"
+  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
+          }
+        }
+        float_val: 1
+        float_val: 2
+        float_val: 3
+        float_val: 4
+        float_val: 5
+        float_val: 6
+      }
+    }
+  }
+}
+node {
+  name: "Input02"
+  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
+          }
+        }
+        float_val: 7
+        float_val: 8
+        float_val: 9
+        float_val: 10
+        float_val: 11
+        float_val: 12
+      }
+    }
+  }
+}
+node {
+  name: "Axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: 0
+      }
+    }
+  }
+}
+node {
+  name: "Concat"
+  op: "ConcatV2"
+  input: "Input01"
+  input: "Input02"
+  input: "Axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
diff --git a/res/TensorFlowTests/UNIT_ConcatV2_001/test.info b/res/TensorFlowTests/UNIT_ConcatV2_001/test.info
new file mode 100644
index 0000000..e2add43
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_ConcatV2_001/test.info
@@ -0,0 +1 @@
+output, Concat:0, TF_FLOAT, [6, 3]
diff --git a/res/TensorFlowTests/UNIT_ConcatV2_001/test.pbtxt b/res/TensorFlowTests/UNIT_ConcatV2_001/test.pbtxt
new file mode 100644
index 0000000..ac3e855
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_ConcatV2_001/test.pbtxt
@@ -0,0 +1,143 @@
+node {
+  name: "Input01"
+  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
+          }
+        }
+        float_val: 1
+        float_val: 2
+        float_val: 3
+        float_val: 4
+        float_val: 5
+        float_val: 6
+      }
+    }
+  }
+}
+node {
+  name: "Input02"
+  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
+          }
+        }
+        float_val: 7
+        float_val: 8
+        float_val: 9
+        float_val: 10
+        float_val: 11
+        float_val: 12
+      }
+    }
+  }
+}
+node {
+  name: "Input03"
+  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
+          }
+        }
+        float_val: 13
+        float_val: 14
+        float_val: 15
+        float_val: 16
+        float_val: 17
+        float_val: 18
+      }
+    }
+  }
+}
+node {
+  name: "Axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: 0
+      }
+    }
+  }
+}
+node {
+  name: "Concat"
+  op: "ConcatV2"
+  input: "Input01"
+  input: "Input02"
+  input: "Input03"
+  input: "Axis"
+  attr {
+    key: "N"
+    value {
+      i: 3
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
diff --git a/res/TensorFlowTests/UNIT_ConcatV2_002/test.info b/res/TensorFlowTests/UNIT_ConcatV2_002/test.info
new file mode 100644
index 0000000..460093b
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_ConcatV2_002/test.info
@@ -0,0 +1,3 @@
+input,  Input01:0, TF_FLOAT, [2, 3]
+input,  Input02:0, TF_FLOAT, [2, 3]
+output, Concat:0,  TF_FLOAT, [2, 6]
diff --git a/res/TensorFlowTests/UNIT_ConcatV2_002/test.pbtxt b/res/TensorFlowTests/UNIT_ConcatV2_002/test.pbtxt
new file mode 100644
index 0000000..9a52404
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_ConcatV2_002/test.pbtxt
@@ -0,0 +1,92 @@
+node {
+  name: "Input01"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 2
+        }
+        dim {
+          size: 3
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Input02"
+  op: "Placeholder"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "shape"
+    value {
+      shape {
+        dim {
+          size: 2
+        }
+        dim {
+          size: 3
+        }
+      }
+    }
+  }
+}
+node {
+  name: "Axis"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+        }
+        int_val: -1
+      }
+    }
+  }
+}
+node {
+  name: "Concat"
+  op: "ConcatV2"
+  input: "Input01"
+  input: "Input02"
+  input: "Axis"
+  attr {
+    key: "N"
+    value {
+      i: 2
+    }
+  }
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tidx"
+    value {
+      type: DT_INT32
+    }
+  }
+}
diff --git a/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_000/test.info b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_000/test.info
new file mode 100644
index 0000000..96a2b14
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_000/test.info
@@ -0,0 +1,2 @@
+input, input:0,  TF_FLOAT,   [1, 11, 7, 3]
+output, DepthwiseConv2dNative:0,  TF_FLOAT,   [1, 6, 4, 12]
diff --git a/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_000/test.pbtxt b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_000/test.pbtxt
new file mode 100644
index 0000000..1d8fcaa
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_000/test.pbtxt
@@ -0,0 +1,115 @@
+# 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
+      }
+    }
+  }
+}
diff --git a/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_001/test.info b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_001/test.info
new file mode 100644
index 0000000..c175953
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_001/test.info
@@ -0,0 +1,2 @@
+input, input:0,  TF_FLOAT,   [1, 4, 4, 3]
+output, DepthwiseConv2dNative:0,  TF_FLOAT,   [1, 3, 3, 6]
diff --git a/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_001/test.pbtxt b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_001/test.pbtxt
new file mode 100644
index 0000000..9a97176
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_DepthwiseConv2dNative_001/test.pbtxt
@@ -0,0 +1,115 @@
+# A simple network that has DepthwiseConv2dNative with input(Placeholder) and filter(Const)
+# HOW TO GENERATE:
+#  import tensorflow as tf
+#  input = tf.placeholder(tf.float32, shape=[1,4,4,3], name="input")
+#  filter = tf.constant(1.0, shape=[2,2,3,2], dtype=tf.float32)
+#  dwconv = tf.nn.depthwise_conv2d_native(input,filter,[1,1,1,1],'VALID')
+#  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: 4
+        }
+        dim {
+          size: 4
+        }
+        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: 2
+          }
+          dim {
+            size: 3
+          }
+          dim {
+            size: 2
+          }
+        }
+        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: "VALID"
+    }
+  }
+  attr {
+    key: "strides"
+    value {
+      list {
+        i: 1
+        i: 1
+        i: 1
+        i: 1
+      }
+    }
+  }
+}