From 49d45bf94d98a2dc346897899ea3a682ea51f4a0 Mon Sep 17 00:00:00 2001
From: HanJin Choi <156498561+Hanjin-Choi@users.noreply.github.com>
Date: Tue, 8 Oct 2024 07:35:40 +0900
Subject: [PATCH] [res] Add TFLiteRecipes for FullyConnected dynamic shape
 (#14157)

This commit adds TFLiteRecipes for FullyConnected dynamic shape.

ONE-DCO-1.0-Signed-off-by: HanJin Choi hanjin4647@gmail.com
---
 .../Inf_FullyConnected_000/test.recipe        | 45 +++++++++++++++++++
 .../Inf_FullyConnected_000/test.rule          |  5 +++
 .../Inf_FullyConnected_001/test.recipe        | 45 +++++++++++++++++++
 .../Inf_FullyConnected_001/test.rule          |  5 +++
 4 files changed, 100 insertions(+)
 create mode 100644 res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.recipe
 create mode 100644 res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.rule
 create mode 100644 res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.recipe
 create mode 100644 res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.rule

diff --git a/res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.recipe b/res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.recipe
new file mode 100644
index 00000000000..e42fbcd9775
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.recipe
@@ -0,0 +1,45 @@
+operand {
+  name: "ifm"
+  type: FLOAT32
+  shape { dim: 1 dim: 2 dim: 3 }
+  shape_signature { dim: -1 dim: 2 dim: 3}
+}
+operand {
+  name: "weight"
+  type: FLOAT32
+  shape { dim: 4 dim: 3 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "bias"
+  type: FLOAT32
+  shape { dim: 4 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "ofm"
+  type: FLOAT32
+  shape { dim: 1 dim: 4 }
+  shape_signature { dim: -1 dim: 4 }
+}
+operation {
+  type: "FullyConnected"
+  fullyconnected_options {
+    activation: NONE
+    keep_num_dims: false
+  }
+  input: "ifm"
+  input: "weight"
+  input: "bias"
+  output: "ofm"
+}
+input: "ifm"
+output: "ofm"
diff --git a/res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.rule b/res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.rule
new file mode 100644
index 00000000000..85172f18056
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Inf_FullyConnected_000/test.rule
@@ -0,0 +1,5 @@
+# To check if dynamic dimension properly inferred
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "FC_SHAPE"               $(tensor_shape ofm) '=' [-1,4]
diff --git a/res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.recipe b/res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.recipe
new file mode 100644
index 00000000000..e66d279d86e
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.recipe
@@ -0,0 +1,45 @@
+operand {
+  name: "ifm"
+  type: FLOAT32
+  shape { dim: 1 dim: 2 dim: 3 }
+  shape_signature { dim: -1 dim: 2 dim: 3}
+}
+operand {
+  name: "weight"
+  type: FLOAT32
+  shape { dim: 4 dim: 3 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "bias"
+  type: FLOAT32
+  shape { dim: 4 }
+  filler {
+    tag: "gaussian"
+    arg: "0.0"
+    arg: "1.0"
+  }
+}
+operand {
+  name: "ofm"
+  type: FLOAT32
+  shape { dim: 1 dim: 2 dim: 4 }
+  shape_signature { dim: -1 dim: 2 dim: 4 }
+}
+operation {
+  type: "FullyConnected"
+  fullyconnected_options {
+    activation: NONE
+    keep_num_dims: true
+  }
+  input: "ifm"
+  input: "weight"
+  input: "bias"
+  output: "ofm"
+}
+input: "ifm"
+output: "ofm"
diff --git a/res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.rule b/res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.rule
new file mode 100644
index 00000000000..19fdc69e878
--- /dev/null
+++ b/res/TensorFlowLiteRecipes/Inf_FullyConnected_001/test.rule
@@ -0,0 +1,5 @@
+# To check if dynamic dimension properly inferred
+
+RULE    "VERIFY_FILE_FORMAT"      $(verify_file_format) '=' 1
+
+RULE    "FC_SHAPE"               $(tensor_shape ofm) '=' [-1,2,4]