diff --git a/res/TensorFlowLiteRecipes/GreaterEqual_001/test.recipe b/res/TensorFlowLiteRecipes/GreaterEqual_001/test.recipe
new file mode 100644
index 00000000000..bae45f8b71c
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/GreaterEqual_001/test.recipe
@@ -0,0 +1,26 @@
+operand {
+  name: "ifm1"
+  type: FLOAT32
+  shape { dim: 1 dim: 4 dim: 4 dim: 3 }
+}
+operand {
+  name: "ifm2"
+  type: FLOAT32
+  shape { dim: 1 dim: 4 dim: 4 dim: 3 }
+}
+operand {
+  name: "ofm"
+  type: BOOL
+  shape { dim: 1 dim: 4 dim: 4 dim: 3 }
+}
+operation {
+  type: "GreaterEqual"
+  greaterequal_options {
+  }
+  input: "ifm1"
+  input: "ifm2"
+  output: "ofm"
+}
+input: "ifm1"
+input: "ifm2"
+output: "ofm"
diff --git a/res/TensorFlowLiteRecipes/GreaterEqual_001/test.reverse b/res/TensorFlowLiteRecipes/GreaterEqual_001/test.reverse
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/res/TensorFlowLiteRecipes/GreaterEqual_001/test.rule b/res/TensorFlowLiteRecipes/GreaterEqual_001/test.rule
new file mode 100644
index 00000000000..6e11af8f7cc
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/GreaterEqual_001/test.rule
@@ -0,0 +1,7 @@
+# To check if the model is resized properly
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "IFM1_SHAPE"               $(tensor_shape ifm1) '=' [1,2,3]
+RULE    "IFM2_SHAPE"               $(tensor_shape ifm2) '=' [1,2,3]
+RULE    "GREATER_EQUAL_SHAPE"      $(tensor_shape ofm) '=' [1,2,3]
diff --git a/res/TensorFlowLiteRecipes/Inf_StridedSlice_002/test.recipe b/res/TensorFlowLiteRecipes/Inf_StridedSlice_002/test.recipe
new file mode 100644
index 00000000000..9db0593c066
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Inf_StridedSlice_002/test.recipe
@@ -0,0 +1,47 @@
+operand {
+  name: "ifm"
+  type: FLOAT32
+  shape { dim: 1 dim: 0 dim: 0 dim: 5 }
+  shape_signature { dim: 1 dim: -1 dim: -1 dim: 5 }
+}
+operand {
+  name: "begin"
+  type: INT32
+  shape { dim: 4 }
+  filler { tag: "explicit" arg: "0" arg: "0" arg: "0" arg: "0" }
+}
+operand {
+  name: "end"
+  type: INT32
+  shape { dim: 4 }
+  filler { tag: "explicit" arg: "1" arg: "8" arg: "3" arg: "5" }
+}
+operand {
+  name: "strides"
+  type: INT32
+  shape { dim: 4 }
+  filler { tag: "explicit" arg: "1" arg: "1" arg: "1" arg: "1" }
+}
+operand {
+  name: "ofm"
+  type: FLOAT32
+  shape { dim: 1 dim: 0 dim: 0 dim: 5 }
+  shape_signature { dim: 1 dim: -1 dim: -1 dim: 5 }
+}
+operation {
+  type: "StridedSlice"
+  input: "ifm"
+  input: "begin"
+  input: "end"
+  input: "strides"
+  output: "ofm"
+  strided_slice_options {
+    begin_mask: 0
+    end_mask: 0
+    ellipsis_mask: 0
+    new_axis_mask: 0
+    shrink_axis_mask: 0
+  }
+}
+input: "ifm"
+output: "ofm"
diff --git a/res/TensorFlowLiteRecipes/Inf_StridedSlice_002/test.rule b/res/TensorFlowLiteRecipes/Inf_StridedSlice_002/test.rule
new file mode 100644
index 00000000000..eca45dc33f0
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Inf_StridedSlice_002/test.rule
@@ -0,0 +1,6 @@
+# To check if the model is resized properly
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "IFM_SHAPE"               $(tensor_shape ifm) '=' [1,10,10,5]
+RULE    "STRIDED_SLICE_SHAPE"     $(tensor_shape ofm) '=' [1,8,3,5]
diff --git a/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.recipe b/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.recipe
new file mode 100644
index 00000000000..0e47be64b46
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.recipe
@@ -0,0 +1,90 @@
+operand {
+  name: "in"
+  type: FLOAT32
+  shape { dim: 1 dim: 16 }
+}
+operand {
+  name: "weight"
+  type: FLOAT32
+  shape { dim: 16 dim: 16 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "bias"
+  type: FLOAT32
+  shape { dim: 16 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "out"
+  type: FLOAT32
+  shape { dim: 1 dim: 16 }
+}
+operation {
+  type: "FullyConnected"
+  fullyconnected_options {
+    activation: RELU
+  }
+  input: "in"
+  input: "weight"
+  input: "bias"
+  output: "out"
+}
+operand {
+  name: "gelu_out"
+  type: FLOAT32
+  shape { dim: 1 dim: 16 }
+}
+operation {
+  type: "Gelu"
+  gelu_options {
+    approximate: false
+  }
+  input: "out"
+  output: "gelu_out"
+}
+operand {
+  name: "weight_2"
+  type: FLOAT32
+  shape { dim: 4 dim: 16 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "bias_2"
+  type: FLOAT32
+  shape { dim: 4 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "out_2"
+  type: FLOAT32
+  shape { dim: 1 dim: 4 }
+}
+operation {
+  type: "FullyConnected"
+  fullyconnected_options {
+    activation: RELU
+  }
+  input: "gelu_out"
+  input: "weight_2"
+  input: "bias_2"
+  output: "out_2"
+}
+input: "in"
+output: "out_2"
diff --git a/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.reverse b/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.reverse
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.rule b/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.rule
new file mode 100644
index 00000000000..05ecff0e7c1
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Net_FullyConnected_Gelu_001/test.rule
@@ -0,0 +1,6 @@
+# To check if the model is resized properly
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "IN_SHAPE"                $(tensor_shape in) '=' [2,16]
+RULE    "OUT_2_SHAPE"             $(tensor_shape out_2) '=' [2,4]
diff --git a/res/TensorFlowLiteRecipes/PRelu_002/test.recipe b/res/TensorFlowLiteRecipes/PRelu_002/test.recipe
new file mode 100644
index 00000000000..35f88c16c6c
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/PRelu_002/test.recipe
@@ -0,0 +1,24 @@
+operand {
+  name: "ifm1"
+  type: FLOAT32
+  shape { dim: 1 dim: 4 dim: 4 dim: 3 }
+}
+operand {
+  name: "ifm2"
+  type: FLOAT32
+  shape { dim: 1 dim: 1 dim: 3 }
+}
+operand {
+  name: "ofm"
+  type: FLOAT32
+  shape { dim: 1 dim: 4 dim: 4 dim: 3 }
+}
+operation {
+  type: "PRelu"
+  input: "ifm1"
+  input: "ifm2"
+  output: "ofm"
+}
+input: "ifm1"
+input: "ifm2"
+output: "ofm"
diff --git a/res/TensorFlowLiteRecipes/PRelu_002/test.reverse b/res/TensorFlowLiteRecipes/PRelu_002/test.reverse
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/res/TensorFlowLiteRecipes/PRelu_002/test.rule b/res/TensorFlowLiteRecipes/PRelu_002/test.rule
new file mode 100644
index 00000000000..39eacbd0a36
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/PRelu_002/test.rule
@@ -0,0 +1,7 @@
+# To check if the model is resized properly
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "IFM1_SHAPE"               $(tensor_shape ifm1) '=' [1,4,4,5]
+RULE    "IFM2_SHAPE"               $(tensor_shape ifm2) '=' [1,1,5]
+RULE    "PRELU_SHAPE"              $(tensor_shape ofm) '=' [1,4,4,5]
diff --git a/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.recipe b/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.recipe
new file mode 100644
index 00000000000..427bd05f17b
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.recipe
@@ -0,0 +1,31 @@
+operand {
+  name: "ifm"
+  type: BOOL
+  shape { dim: 1 dim: 3 dim: 4 }
+  shape_signature { dim: -1 dim: 3 dim: 4 }
+}
+operand {
+  name: "reduction_indices"
+  type: INT32
+  shape { dim: 3 }
+  filler {
+    tag: "explicit"
+    arg: "0" arg: "1" arg: "2"
+  }
+}
+operand {
+  name: "ofm"
+  type: BOOL
+  shape { }
+}
+operation {
+  type: "ReduceAny"
+  reduce_any_options {
+    keep_dims: false
+  }
+  input: "ifm"
+  input: "reduction_indices"
+  output: "ofm"
+}
+input: "ifm"
+output: "ofm"
diff --git a/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.reverse b/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.reverse
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.rule b/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.rule
new file mode 100644
index 00000000000..052a5727e75
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/ReduceAny_dynamic_004/test.rule
@@ -0,0 +1,6 @@
+# To check if the model is resized properly
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "IFM_SHAPE"               $(tensor_shape ifm) '=' [4,5,6]
+RULE    "REDUCE_ANY_SHAPE"        $(tensor_shape ofm) '=' []
diff --git a/res/TensorFlowLiteRecipes/Split_001/test.recipe b/res/TensorFlowLiteRecipes/Split_001/test.recipe
new file mode 100644
index 00000000000..e4bbe7620e1
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Split_001/test.recipe
@@ -0,0 +1,34 @@
+operand {
+  name: "ifm"
+  type: FLOAT32
+  shape { dim: 6 dim: 1 dim: 2 }
+}
+operand {
+  name: "split_dim"
+  type: INT32
+  shape { }
+  filler { tag: "explicit" arg: "0" }
+}
+operand {
+  name: "ofm1"
+  type: FLOAT32
+  shape { dim: 3 dim: 1 dim: 2 }
+}
+operand {
+  name: "ofm2"
+  type: FLOAT32
+  shape { dim: 3 dim: 1 dim: 2 }
+}
+operation {
+  type: "Split"
+  split_options {
+    num_splits: 2
+  }
+  input: "split_dim"
+  input: "ifm"
+  output: "ofm1"
+  output: "ofm2"
+}
+input: "ifm"
+output: "ofm1"
+output: "ofm2"
diff --git a/res/TensorFlowLiteRecipes/Split_001/test.reverse b/res/TensorFlowLiteRecipes/Split_001/test.reverse
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/res/TensorFlowLiteRecipes/Split_001/test.rule b/res/TensorFlowLiteRecipes/Split_001/test.rule
new file mode 100644
index 00000000000..2f62e5e387c
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Split_001/test.rule
@@ -0,0 +1,7 @@
+# To check if the model is resized properly
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "IFM_SHAPE"               $(tensor_shape ifm) '=' [8,1,2]
+RULE    "OFM1_SHAPE"              $(tensor_shape ofm1) '=' [4,1,2]
+RULE    "OFM2_SHAPE"              $(tensor_shape ofm2) '=' [4,1,2]