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-rw-r--r--res/TensorFlowTests/UNIT_Pad_000/test.info2
-rw-r--r--res/TensorFlowTests/UNIT_Pad_000/test.manifest8
-rw-r--r--res/TensorFlowTests/UNIT_Pad_000/test.pbtxt81
3 files changed, 91 insertions, 0 deletions
diff --git a/res/TensorFlowTests/UNIT_Pad_000/test.info b/res/TensorFlowTests/UNIT_Pad_000/test.info
new file mode 100644
index 000000000..e9fd5fce2
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_Pad_000/test.info
@@ -0,0 +1,2 @@
+input, input:0, TF_FLOAT, [1, 3, 4, 4]
+output, Pad:0, TF_FLOAT, [1, 3, 8, 6]
diff --git a/res/TensorFlowTests/UNIT_Pad_000/test.manifest b/res/TensorFlowTests/UNIT_Pad_000/test.manifest
new file mode 100644
index 000000000..d3001df34
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_Pad_000/test.manifest
@@ -0,0 +1,8 @@
+SUMMARY: A simple network that has Constant mode Pad with default value(constant_values=0)
+
+# HOW TO GENERATE:
+# import tensorflow as tf
+# input = tf.placeholder(tf.float32, shape=[1,3,4,4], name="input")
+# paddings = tf.constant([[0,0],[0,0],[2,2],[1,1]])
+# pad_const = tf.pad(input, paddings, "CONSTANT")
+# tf.get_default_graph().as_graph_def()
diff --git a/res/TensorFlowTests/UNIT_Pad_000/test.pbtxt b/res/TensorFlowTests/UNIT_Pad_000/test.pbtxt
new file mode 100644
index 000000000..8d6a5c8aa
--- /dev/null
+++ b/res/TensorFlowTests/UNIT_Pad_000/test.pbtxt
@@ -0,0 +1,81 @@
+node {
+ name: "input"
+ op: "Placeholder"
+ attr {
+ key: "dtype"
+ value {
+ type: DT_FLOAT
+ }
+ }
+ attr {
+ key: "shape"
+ value {
+ shape {
+ dim {
+ size: 1
+ }
+ dim {
+ size: 3
+ }
+ dim {
+ size: 4
+ }
+ dim {
+ size: 4
+ }
+ }
+ }
+ }
+}
+node {
+ name: "Const"
+ op: "Const"
+ attr {
+ key: "dtype"
+ value {
+ type: DT_INT32
+ }
+ }
+ attr {
+ key: "value"
+ value {
+ tensor {
+ dtype: DT_INT32
+ tensor_shape {
+ dim {
+ size: 4
+ }
+ dim {
+ size: 2
+ }
+ }
+ int_val: 0
+ int_val: 0
+ int_val: 0
+ int_val: 0
+ int_val: 2
+ int_val: 2
+ int_val: 1
+ int_val: 1
+ }
+ }
+ }
+}
+node {
+ name: "Pad"
+ op: "Pad"
+ input: "input"
+ input: "Const"
+ attr {
+ key: "T"
+ value {
+ type: DT_FLOAT
+ }
+ }
+ attr {
+ key: "Tpaddings"
+ value {
+ type: DT_INT32
+ }
+ }
+}