[res] Add TFLiteRecipe for dynamic shape Multiply (Samsung#14147)

This commit adds TFLiteRecipe for dynamic shape Multiply. ONE-DCO-1.0-Signed-off-by: sunki <[email protected]>
jongwonyang · Oct 2, 2024 · 8753418 · 8753418
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diff --git a/res/TensorFlowLiteRecipes/Inf_Mul_000/test.recipe b/res/TensorFlowLiteRecipes/Inf_Mul_000/test.recipe
@@ -0,0 +1,30 @@
+operand {
+  name: "ifm1"
+  type: FLOAT32
+  shape { dim: 1 dim: 1 dim: 1 dim: 1 }
+  shape_signature { dim: 1 dim: 1 dim: -1 dim: -1}
+}
+operand {
+  name: "ifm2"
+  type: FLOAT32
+  shape { dim: 1 dim: 1 dim: 4 dim: 1}
+  shape_signature { dim: 1 dim: -1 dim: 4 dim: -1}
+}
+operand {
+  name: "ofm"
+  type: FLOAT32
+  shape { dim: 1 dim: 1 dim: 4 dim: 1 }
+  shape_signature { dim: 1 dim: -1 dim: 4 dim: -1}
+}
+operation {
+  type: "Mul"
+  input: "ifm1"
+  input: "ifm2"
+  output: "ofm"
+  mul_options {
+   activation: NONE
+  } 
+}
+input: "ifm1"
+input: "ifm2"
+output: "ofm"
diff --git a/res/TensorFlowLiteRecipes/Inf_Mul_000/test.rule b/res/TensorFlowLiteRecipes/Inf_Mul_000/test.rule
@@ -0,0 +1,5 @@
+# To check if dynamic dimension properly inferred
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "MUL_SHAPE"               $(tensor_shape ofm) '=' [1,-1,4,-1]