Imported Upstream version 1.11.0upstream/1.11.0

5 files changed, 206 insertions, 0 deletions

diff --git a/res/TensorFlowTests/NET_YUV_TO_RGB/circle.rule b/res/TensorFlowTests/NET_YUV_TO_RGB/circle.rule
new file mode 100644
index 000000000..44d52aaff
--- /dev/null
+++ b/res/TensorFlowTests/NET_YUV_TO_RGB/circle.rule
@@ -0,0 +1,5 @@
+# tf2circle-dredd-pbtxt-test for YUV to RGB conversion
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1  # 1 means verification is OK
+
+RULE    "ALL_OP_COUNT"            $(all_op_count) '=' 3
diff --git a/res/TensorFlowTests/NET_YUV_TO_RGB/test.info b/res/TensorFlowTests/NET_YUV_TO_RGB/test.info
new file mode 100644
index 000000000..92e150d86
--- /dev/null
+++ b/res/TensorFlowTests/NET_YUV_TO_RGB/test.info
@@ -0,0 +1,2 @@
+input,  x:0,  TF_FLOAT,  [1, 4, 4, 3]
+output, Identity:0,   TF_FLOAT,  [1, 4, 4, 3]
diff --git a/res/TensorFlowTests/NET_YUV_TO_RGB/test.manifest b/res/TensorFlowTests/NET_YUV_TO_RGB/test.manifest
new file mode 100644
index 000000000..3d4f7b98a
--- /dev/null
+++ b/res/TensorFlowTests/NET_YUV_TO_RGB/test.manifest
@@ -0,0 +1 @@
+SUMMARY: YUV_TO_RGB test as a graph
diff --git a/res/TensorFlowTests/NET_YUV_TO_RGB/test.pbtxt b/res/TensorFlowTests/NET_YUV_TO_RGB/test.pbtxt
new file mode 100644
index 000000000..3296f9919
--- /dev/null
+++ b/res/TensorFlowTests/NET_YUV_TO_RGB/test.pbtxt
@@ -0,0 +1,184 @@
+node {
+  name: "x"
+  op: "Placeholder"
+  attr {
+    key: "_user_specified_name"
+    value {
+      s: "x"
+    }
+  }
+  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: "kernel"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_FLOAT
+        tensor_shape {
+          dim {
+            size: 3
+          }
+          dim {
+            size: 3
+          }
+        }
+        tensor_content: "\000\000\200?\000\000\200?\000\000\200?\000\000\000\000\217\016\312\276M\r\002@\260\347\221?\242\243\024\277\000\000\000\000"
+      }
+    }
+  }
+}
+node {
+  name: "Tensordot/Reshape/shape"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+          dim {
+            size: 2
+          }
+        }
+        tensor_content: "\020\000\000\000\003\000\000\000"
+      }
+    }
+  }
+}
+node {
+  name: "Tensordot/Reshape"
+  op: "Reshape"
+  input: "x"
+  input: "Tensordot/Reshape/shape"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tshape"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "Tensordot/MatMul"
+  op: "MatMul"
+  input: "Tensordot/Reshape"
+  input: "kernel"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "transpose_a"
+    value {
+      b: false
+    }
+  }
+  attr {
+    key: "transpose_b"
+    value {
+      b: false
+    }
+  }
+}
+node {
+  name: "Tensordot/shape"
+  op: "Const"
+  attr {
+    key: "dtype"
+    value {
+      type: DT_INT32
+    }
+  }
+  attr {
+    key: "value"
+    value {
+      tensor {
+        dtype: DT_INT32
+        tensor_shape {
+          dim {
+            size: 4
+          }
+        }
+        tensor_content: "\001\000\000\000\004\000\000\000\004\000\000\000\003\000\000\000"
+      }
+    }
+  }
+}
+node {
+  name: "Tensordot"
+  op: "Reshape"
+  input: "Tensordot/MatMul"
+  input: "Tensordot/shape"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+  attr {
+    key: "Tshape"
+    value {
+      type: DT_INT32
+    }
+  }
+}
+node {
+  name: "Identity"
+  op: "Identity"
+  input: "Tensordot"
+  attr {
+    key: "T"
+    value {
+      type: DT_FLOAT
+    }
+  }
+}
+versions {
+  producer: 175
+}
diff --git a/res/TensorFlowTests/NET_YUV_TO_RGB/test.py b/res/TensorFlowTests/NET_YUV_TO_RGB/test.py
new file mode 100644
index 000000000..978976571
--- /dev/null
+++ b/res/TensorFlowTests/NET_YUV_TO_RGB/test.py
@@ -0,0 +1,14 @@
+#used to create test.pbtxt
+# Version info
+#  - Tensorflow : 2.2.0
+#  - Python : 3.7.7
+
+import tensorflow as tf
+# Construct a basic model.
+root = tf.train.Checkpoint()
+root.f = tf.function(lambda x: tf.image.yuv_to_rgb(x))
+# Create the concrete function.
+input_data = tf.constant(1., shape=[1, 4, 4, 3])
+# dim = tf.constant(12,shape=[2])
+concrete_func = root.f.get_concrete_function(input_data)
+tf.io.write_graph(concrete_func.graph.as_graph_def(), '.', 'test.pbtxt')