[res] Introduce Net_InstanceNorm_009

This will introduce Net_InstanceNorm_009 copied from
Net_InstanceNorm_008 with 1x4x8 input shape and random beta.

ONE-DCO-1.0-Signed-off-by: SaeHie Park <[email protected]>

res/TensorFlowLiteRecipes/Net_InstanceNorm_009/test.recipe

@@ -0,0 +1,184 @@
+#
+# This was copied from Net_InstanceNorm_008
+# with last dim > 1 and beta with random beta
+#
+
+operand {
+  name: "Hole"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 8
+  }
+}
+operand {
+  name: "InstanceNorm/beta"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 1
+  }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "InstanceNorm/instancenorm/add/y"
+  type: FLOAT32
+  shape {
+  }
+  filler {
+    tag: "explicit"
+    arg: "1e-06"
+  }
+}
+operand {
+  name: "InstanceNorm/moments/variance/reduction_indices"
+  type: INT32
+  shape {
+    dim: 1
+  }
+  filler {
+    tag: "explicit"
+    arg: "2"
+  }
+}
+operand {
+  name: "InstanceNorm/moments/mean"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 1
+  }
+}
+operand {
+  name: "InstanceNorm/moments/SquaredDifference"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 8
+  }
+}
+operand {
+  name: "InstanceNorm/moments/variance"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 1
+  }
+}
+operand {
+  name: "InstanceNorm/instancenorm/add"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 8
+  }
+}
+operand {
+  name: "InstanceNorm/instancenorm/Rsqrt"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 1
+  }
+}
+operand {
+  name: "InstanceNorm/instancenorm/mul_1"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 1
+  }
+}
+operand {
+  name: "InstanceNorm/instancenorm/mul_2"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 8
+  }
+}
+operand {
+  name: "InstanceNorm/instancenorm/sub"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 1
+  }
+}
+operand {
+  name: "InstanceNorm/instancenorm/add_1"
+  type: FLOAT32
+  shape {
+    dim: 1 dim: 4 dim: 8
+  }
+}
+operation {
+  type: "Mean"
+  input: "Hole"
+  input: "InstanceNorm/moments/variance/reduction_indices"
+  output: "InstanceNorm/moments/mean"
+  mean_options {
+    keep_dims: true
+  }
+}
+operation {
+  type: "SquaredDifference"
+  input: "Hole"
+  input: "InstanceNorm/moments/mean"
+  output: "InstanceNorm/moments/SquaredDifference"
+}
+operation {
+  type: "Mean"
+  input: "InstanceNorm/moments/SquaredDifference"
+  input: "InstanceNorm/moments/variance/reduction_indices"
+  output: "InstanceNorm/moments/variance"
+  mean_options {
+    keep_dims: true
+  }
+}
+operation {
+  type: "Add"
+  input: "InstanceNorm/moments/variance"
+  input: "InstanceNorm/instancenorm/add/y"
+  output: "InstanceNorm/instancenorm/add"
+  add_options {
+    activation: NONE
+  }
+}
+operation {
+  type: "Rsqrt"
+  input: "InstanceNorm/instancenorm/add"
+  output: "InstanceNorm/instancenorm/Rsqrt"
+}
+operation {
+  type: "Mul"
+  input: "Hole"
+  input: "InstanceNorm/instancenorm/Rsqrt"
+  output: "InstanceNorm/instancenorm/mul_1"
+  mul_options {
+    activation: NONE
+  }
+}
+operation {
+  type: "Mul"
+  input: "InstanceNorm/moments/mean"
+  input: "InstanceNorm/instancenorm/Rsqrt"
+  output: "InstanceNorm/instancenorm/mul_2"
+  mul_options {
+    activation: NONE
+  }
+}
+operation {
+  type: "Sub"
+  input: "InstanceNorm/beta"
+  input: "InstanceNorm/instancenorm/mul_2"
+  output: "InstanceNorm/instancenorm/sub"
+  sub_options {
+    activation: NONE
+  }
+}
+operation {
+  type: "Add"
+  input: "InstanceNorm/instancenorm/mul_1"
+  input: "InstanceNorm/instancenorm/sub"
+  output: "InstanceNorm/instancenorm/add_1"
+  add_options {
+    activation: NONE
+  }
+}
+input: "Hole"
+output: "InstanceNorm/instancenorm/add_1"

res/TensorFlowLiteRecipes/Net_InstanceNorm_009/test.rule

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+# To check if this network is converted to circle InstanceNorm op
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "INSTANCE_NORM_EXIST"     $(op_count INSTANCE_NORM) '=' 1
+RULE    "NO_ADD"                  $(op_count ADD) '=' 0
+RULE    "NO_MUL"                  $(op_count MUL) '=' 0
+RULE    "NO_POW"                  $(op_count POW) '=' 0
+RULE    "NO_DIV"                  $(op_count DIV) '=' 0
+RULE    "NO_SQUARED_DIFF"         $(op_count SQUARED_DIFFERENCE) '=' 0
+RULE    "NO_MEAN"                 $(op_count MEAN) '=' 0
+RULE    "NO_RSQRT"                $(op_count RSQRT) '=' 0
+RULE    "NO_SUB"                  $(op_count SUB) '=' 0