diff --git a/api/ccapi/include/layer.h b/api/ccapi/include/layer.h
index 2e42a8cbfa..e1a6885c7c 100644
--- a/api/ccapi/include/layer.h
+++ b/api/ccapi/include/layer.h
@@ -45,7 +45,9 @@ enum LayerType {
   LAYER_SWIGLU = ML_TRAIN_LAYER_TYPE_SWIGLU, /**< Swiglu Layer type */
   LAYER_BN = ML_TRAIN_LAYER_TYPE_BN, /**< Batch Normalization Layer type */
   LAYER_CONV2D = ML_TRAIN_LAYER_TYPE_CONV2D, /**< Convolution 2D Layer type */
-  LAYER_CONV2D_TRANSPOSE = ML_TRAIN_LAYER_TYPE_CONV2D_TRANSPOSE, /**< Convolution 2D Transpose Layer type */
+  LAYER_CONV2D_TRANSPOSE =
+    ML_TRAIN_LAYER_TYPE_CONV2D_TRANSPOSE, /**< Convolution 2D Transpose Layer
+                                             type */
   LAYER_POOLING2D = ML_TRAIN_LAYER_TYPE_POOLING2D, /**< Pooling 2D Layer type */
   LAYER_FLATTEN = ML_TRAIN_LAYER_TYPE_FLATTEN,     /**< Flatten Layer type */
   LAYER_ACTIVATION =
diff --git a/api/nntrainer-api-common.h b/api/nntrainer-api-common.h
index 393d853d8e..23e94a20e8 100644
--- a/api/nntrainer-api-common.h
+++ b/api/nntrainer-api-common.h
@@ -62,15 +62,16 @@ typedef enum {
     27, /**< Layer Normalization Layer type (Since 7.0) */
   ML_TRAIN_LAYER_TYPE_POSITIONAL_ENCODING =
     28, /**< Positional Encoding Layer type (Since 7.0) */
-  ML_TRAIN_LAYER_TYPE_IDENTITY = 29, /**< Identity Layer type (Since 8.0) */
-  ML_TRAIN_LAYER_TYPE_SWIGLU = 30,   /**< Swiglu Layer type */
-  ML_TRAIN_LAYER_TYPE_WEIGHT = 31,   /**< Weight Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_ADD = 32,      /**< Add Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_SUBTRACT = 33, /**< Subtract Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_MULTIPLY = 34, /**< Multiply Layer type (Since 9.0)*/
-  ML_TRAIN_LAYER_TYPE_DIVIDE = 35,   /**< Divide Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_IDENTITY = 29,  /**< Identity Layer type (Since 8.0) */
+  ML_TRAIN_LAYER_TYPE_SWIGLU = 30,    /**< Swiglu Layer type */
+  ML_TRAIN_LAYER_TYPE_WEIGHT = 31,    /**< Weight Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_ADD = 32,       /**< Add Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_SUBTRACT = 33,  /**< Subtract Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_MULTIPLY = 34,  /**< Multiply Layer type (Since 9.0)*/
+  ML_TRAIN_LAYER_TYPE_DIVIDE = 35,    /**< Divide Layer type (Since 9.0)*/
   ML_TRAIN_LAYER_TYPE_TRANSPOSE = 36, /**< Transpose Layer type */
-  ML_TRAIN_LAYER_TYPE_CONV2D_TRANSPOSE = 37, /**< Convolution 2D Transpose Layer (Since 10.0) */
+  ML_TRAIN_LAYER_TYPE_CONV2D_TRANSPOSE =
+    37, /**< Convolution 2D Transpose Layer (Since 9.0) */
   ML_TRAIN_LAYER_TYPE_PREPROCESS_FLIP =
     300, /**< Preprocess flip Layer (Since 6.5) */
   ML_TRAIN_LAYER_TYPE_PREPROCESS_TRANSLATE =
diff --git a/test/unittest/layers/unittest_layers_convolution2d_transpose.cpp b/test/unittest/layers/unittest_layers_convolution2d_transpose.cpp
new file mode 100644
index 0000000000..cea4b93d1a
--- /dev/null
+++ b/test/unittest/layers/unittest_layers_convolution2d_transpose.cpp
@@ -0,0 +1,392 @@
+// SPDX-License-Identifier: Apache-2.0
+/**
+ * Copyright (C) 2024 UGyeong Song <thddnrud@snu.ac.kr>
+ *
+ * @file unittest_layers_convolution.cpp
+ * @date 21 November 2024
+ * @brief Conv2dTranspose Layer Test
+ * @see	https://github.com/nnstreamer/nntrainer
+ * @author UGyeong Song <thddnrud@snu.ac.kr>
+ * @bug No known bugs except for NYI items
+ */
+#include <tuple>
+
+#include <gtest/gtest.h>
+
+#include <conv2d_transpose_layer.h>
+#include <layers_common_tests.h>
+
+auto semantic_conv2d_transpose = LayerSemanticsParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  nntrainer::Conv2DTransposeLayer::type,
+  {"filters=1", "kernel_size=1,1", "padding=1,1"},
+  LayerCreateSetPropertyOptions::AVAILABLE_FROM_APP_CONTEXT, false, 1);
+
+GTEST_PARAMETER_TEST(Convolution2DTranspose, LayerSemantics,
+                     ::testing::Values(semantic_conv2d_transpose));
+
+auto conv2d_transpose_sb_minimum = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=2,2"}, "1:1:4:4",
+  "conv2d_transpose_sb_minimum.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_minimum = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=2,2"}, "3:1:4:4",
+  "conv2d_transpose_mb_minimum.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_same_remain = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=2", "kernel_size=3,3", "padding=same"}, "1:1:4:4",
+  "conv2d_transpose_sb_same_remain.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_same_remain = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=2", "kernel_size=3,3", "padding=same"}, "3:1:4:4",
+  "conv2d_transpose_mb_same_remain.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_same_uneven_remain_1 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=same",
+  },
+  "1:3:4:4", "conv2d_transpose_sb_same_uneven_remain.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_same_uneven_remain_2 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=0,1,0,1",
+  },
+  "1:3:4:4", "conv2d_transpose_sb_same_uneven_remain.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_same_uneven_remain_1 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=same",
+  },
+  "3:3:4:4", "conv2d_transpose_mb_same_uneven_remain.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_same_uneven_remain_2 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=0,1,0,1",
+  },
+  "3:3:4:4", "conv2d_transpose_mb_same_uneven_remain.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_valid_drop_last = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=valid",
+  },
+  "1:3:7:7", "conv2d_transpose_sb_valid_drop_last.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_valid_drop_last = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=valid",
+  },
+  "3:3:7:7", "conv2d_transpose_mb_valid_drop_last.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_no_overlap = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=2,2", "stride=3,3"}, "1:2:5:5",
+  "conv2d_transpose_sb_no_overlap.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_no_overlap = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=3",
+    "kernel_size=2,2",
+    "stride=3,3",
+  },
+  "3:2:5:5", "conv2d_transpose_mb_no_overlap.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_1x1_kernel = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=1,1", "stride=2,2"}, "1:2:5:5",
+  "conv2d_transpose_sb_1x1_kernel.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_1x1_kernel = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=3",
+    "kernel_size=1,1",
+    "stride=2,2",
+  },
+  "3:2:5:5", "conv2d_transpose_mb_1x1_kernel.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_dilation = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "dilation=2,2",
+  },
+  "1:3:11:11", "conv2d_transpose_sb_dilation.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_dilation = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "dilation=2,2",
+  },
+  "3:3:11:11", "conv2d_transpose_mb_dilation.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_sb_same_dilation = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "padding=same",
+    "dilation=2,2",
+  },
+  "1:3:11:11", "conv2d_transpose_sb_same_dilation.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+auto conv2d_transpose_mb_same_dilation = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "padding=same",
+    "dilation=2,2",
+  },
+  "3:3:11:11", "conv2d_transpose_mb_same_dilation.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp32", "fp32");
+
+GTEST_PARAMETER_TEST(
+  Convolution2DTranspose, LayerGoldenTest,
+  ::testing::Values(
+    conv2d_transpose_sb_minimum, conv2d_transpose_mb_minimum,
+    conv2d_transpose_sb_same_remain, conv2d_transpose_mb_same_remain,
+    conv2d_transpose_sb_same_uneven_remain_1,
+    conv2d_transpose_sb_same_uneven_remain_2,
+    conv2d_transpose_mb_same_uneven_remain_1,
+    conv2d_transpose_mb_same_uneven_remain_2,
+    conv2d_transpose_sb_valid_drop_last, conv2d_transpose_mb_valid_drop_last,
+    conv2d_transpose_sb_no_overlap, conv2d_transpose_mb_no_overlap,
+    conv2d_transpose_sb_1x1_kernel, conv2d_transpose_mb_1x1_kernel,
+    conv2d_transpose_sb_dilation, conv2d_transpose_mb_dilation,
+    conv2d_transpose_sb_same_dilation, conv2d_transpose_mb_same_dilation));
+
+#ifdef ENABLE_FP16
+auto conv2d_transpose_sb_minimum_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=2,2"}, "1:1:4:4",
+  "conv2d_transpose_sb_minimum_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_minimum_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=2,2"}, "3:1:4:4",
+  "conv2d_transpose_mb_minimum_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_same_remain_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=2", "kernel_size=3,3", "padding=same"}, "1:1:4:4",
+  "conv2d_transpose_sb_same_remain_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_same_remain_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=2", "kernel_size=3,3", "padding=same"}, "3:1:4:4",
+  "conv2d_transpose_mb_same_remain_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_same_uneven_remain_1_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=same",
+  },
+  "1:3:4:4", "conv2d_transpose_sb_same_uneven_remain_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_same_uneven_remain_2_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=0,1,0,1",
+  },
+  "1:3:4:4", "conv2d_transpose_sb_same_uneven_remain_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_same_uneven_remain_1_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=same",
+  },
+  "3:3:4:4", "conv2d_transpose_mb_same_uneven_remain_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_same_uneven_remain_2_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=0,1,0,1",
+  },
+  "3:3:4:4", "conv2d_transpose_mb_same_uneven_remain_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_valid_drop_last_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=valid",
+  },
+  "1:3:7:7", "conv2d_transpose_sb_valid_drop_last_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_valid_drop_last_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "stride=2,2",
+    "padding=valid",
+  },
+  "3:3:7:7", "conv2d_transpose_mb_valid_drop_last_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_no_overlap_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=2,2", "stride=3,3"}, "1:2:5:5",
+  "conv2d_transpose_sb_no_overlap_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_no_overlap_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=3",
+    "kernel_size=2,2",
+    "stride=3,3",
+  },
+  "3:2:5:5", "conv2d_transpose_mb_no_overlap_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_1x1_kernel_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {"filters=3", "kernel_size=1,1", "stride=2,2"}, "1:2:5:5",
+  "conv2d_transpose_sb_1x1_kernel_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_1x1_kernel_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=3",
+    "kernel_size=1,1",
+    "stride=2,2",
+  },
+  "3:2:5:5", "conv2d_transpose_mb_1x1_kernel_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_dilation_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "dilation=2,2",
+  },
+  "1:3:11:11", "conv2d_transpose_sb_dilation_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_dilation_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "dilation=2,2",
+  },
+  "3:3:11:11", "conv2d_transpose_mb_dilation_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_sb_same_dilation_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "padding=same",
+    "dilation=2,2",
+  },
+  "1:3:11:11", "conv2d_transpose_sb_same_dilation_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+auto conv2d_transpose_mb_same_dilation_w16a16 = LayerGoldenTestParamType(
+  nntrainer::createLayer<nntrainer::Conv2DTransposeLayer>,
+  {
+    "filters=2",
+    "kernel_size=3,3",
+    "padding=same",
+    "dilation=2,2",
+  },
+  "3:3:11:11", "conv2d_transpose_mb_same_dilation_w16a16.nnlayergolden",
+  LayerGoldenTestParamOptions::DEFAULT, "nchw", "fp16", "fp16");
+
+GTEST_PARAMETER_TEST(
+  Convolution2DTranspose16, LayerGoldenTest,
+  ::testing::Values(conv2d_transpose_sb_minimum_w16a16,
+                    conv2d_transpose_mb_minimum_w16a16,
+                    conv2d_transpose_sb_same_remain_w16a16,
+                    conv2d_transpose_mb_same_remain_w16a16,
+                    conv2d_transpose_sb_same_uneven_remain_1_w16a16,
+                    conv2d_transpose_sb_same_uneven_remain_2_w16a16,
+                    conv2d_transpose_mb_same_uneven_remain_1_w16a16,
+                    conv2d_transpose_mb_same_uneven_remain_2_w16a16,
+                    conv2d_transpose_sb_valid_drop_last_w16a16,
+                    conv2d_transpose_mb_valid_drop_last_w16a16,
+                    conv2d_transpose_sb_no_overlap_w16a16,
+                    conv2d_transpose_mb_no_overlap_w16a16,
+                    conv2d_transpose_sb_1x1_kernel_w16a16,
+                    conv2d_transpose_mb_1x1_kernel_w16a16,
+                    conv2d_transpose_sb_dilation_w16a16,
+                    conv2d_transpose_mb_dilation_w16a16,
+                    conv2d_transpose_sb_same_dilation_w16a16,
+                    conv2d_transpose_mb_same_dilation_w16a16));
+#endif