diff --git a/compute_kernel_writer/src/cl/CLTensorArgument.cpp b/compute_kernel_writer/src/cl/CLTensorArgument.cpp
new file mode 100644
index 0000000..ed1c5bd
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+++ b/compute_kernel_writer/src/cl/CLTensorArgument.cpp
@@ -0,0 +1,247 @@
+/*
+ * Copyright (c) 2023 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+
+#include "src/cl/CLTensorArgument.h"
+#include "ckw/Error.h"
+#include "src/cl/CLHelpers.h"
+#include "src/types/TensorComponentType.h"
+
+#include <algorithm>
+#include <vector>
+
+namespace ckw
+{
+CLTensorArgument::CLTensorArgument(const std::string &name, const TensorInfo &info, bool return_dims_by_value)
+{
+    _return_dims_by_value = return_dims_by_value;
+    _basename             = name;
+    _info                 = info;
+}
+
+TileVariable CLTensorArgument::component(TensorComponentType x)
+{
+    if(_return_dims_by_value)
+    {
+        uint32_t component_type = static_cast<uint32_t>(x);
+
+        const bool is_dimension         = (component_type & static_cast<uint32_t>(TensorComponentBitmask::Dimension)) != 0;
+        const bool is_folded_dimensions = (component_type & static_cast<uint32_t>(TensorComponentBitmask::FoldedDimensions)) != 0;
+
+        constexpr auto bitmask_all     = static_cast<uint32_t>(TensorComponentIndexBitmask::All);
+        constexpr auto bitmask_index_0 = static_cast<uint32_t>(TensorComponentIndexBitmask::Index0);
+#ifdef COMPUTE_KERNEL_WRITER_ASSERTS_ENABLED
+        constexpr auto bitmask_index_1 = static_cast<uint32_t>(TensorComponentIndexBitmask::Index1);
+        constexpr auto bitmask_index_2 = static_cast<uint32_t>(TensorComponentIndexBitmask::Index2);
+        constexpr auto bitmask_index_3 = static_cast<uint32_t>(TensorComponentIndexBitmask::Index3);
+#endif // COMPUTE_KERNEL_WRITER_ASSERTS_ENABLED
+
+        // Make sure that the encoding of component type hasn't changed and each nibble is 4 bits apart.
+        CKW_ASSERT(bitmask_all == (bitmask_index_0 | bitmask_index_1 | bitmask_index_2 | bitmask_index_3));
+        CKW_ASSERT(bitmask_index_0 == bitmask_index_1 >> 4);
+        CKW_ASSERT(bitmask_index_1 == bitmask_index_2 >> 4);
+        CKW_ASSERT(bitmask_index_2 == bitmask_index_3 >> 4);
+
+        // If we have a dimension or folded dimensions, we can return the corresponding value if it is not dynamic (not equal to -1)
+        if(is_dimension == true || is_folded_dimensions == true)
+        {
+            component_type = component_type & bitmask_all;
+
+            int32_t idx = 1;
+            for(int32_t i = 0; i < tensor_component_index_max_count; ++i)
+            {
+                uint32_t dim_idx = component_type & bitmask_index_0;
+
+                if(dim_idx == 0)
+                {
+                    // Stop at the first nibble containing 0
+                    break;
+                }
+
+                // Subtract - 1. Please refer to the TensorComponentIndexBitmask documentation
+                dim_idx -= 1;
+
+                // Get the dimension value
+                const int32_t dim_val = _info.shape()[dim_idx];
+
+                if(dim_val == kDynamicTensorDimensionValue)
+                {
+                    // We cannot return the dimension by value if it is dynamic.
+                    // Therefore, force the idx variable to kDynamicTensorDimensionValue and break the loop.
+                    idx = kDynamicTensorDimensionValue;
+                    break;
+                }
+
+                idx *= dim_val;
+
+                // Go to the next nibble
+                component_type >>= 4;
+            }
+
+            if(idx != kDynamicTensorDimensionValue)
+            {
+                TileVariable t;
+                t.str      = std::to_string(idx);
+                t.desc.dt  = DataType::Uint32;
+                t.desc.len = 1;
+                return t;
+            }
+        }
+    }
+
+    auto it = std::find(_components_used.begin(), _components_used.end(), x);
+
+    // Add to the list of used components if not present yet
+    if(it == _components_used.end())
+    {
+        _components_used.push_back(x);
+    }
+
+    TileVariable t;
+    t.str      = create_component_name(x);
+    t.desc.dt  = DataType::Int32;
+    t.desc.len = 1;
+    return t;
+}
+
+TensorStorageVariable CLTensorArgument::storage(TensorStorageType x)
+{
+    if(std::find(_storages_used.begin(), _storages_used.end(), x) == _storages_used.end())
+    {
+        _storages_used.push_back(x);
+    }
+
+    TensorStorageVariable t;
+    t.val  = create_storage_name(x);
+    t.type = cl_get_variable_storagetype_as_string(x);
+
+    return t;
+}
+
+std::string CLTensorArgument::create_storage_name(TensorStorageType x) const
+{
+    std::string var_name = _basename;
+
+    switch(x)
+    {
+        case TensorStorageType::BufferUint8Ptr:
+            var_name += "_ptr";
+            break;
+        case TensorStorageType::Texture2dReadOnly:
+        case TensorStorageType::Texture2dWriteOnly:
+            var_name += "_img2d";
+            break;
+        default:
+            CKW_ASSERT_FAILED_MSG("Unsupported tensor storage");
+            return "";
+    }
+
+    return var_name;
+}
+
+std::string CLTensorArgument::create_component_name(TensorComponentType x) const
+{
+    std::string var_name = _basename;
+
+    switch(x)
+    {
+        case TensorComponentType::OffsetFirstElement:
+            var_name += "_offset_first_element";
+            break;
+        case TensorComponentType::Stride0:
+            var_name += "_stride0";
+            break;
+        case TensorComponentType::Stride1:
+            var_name += "_stride1";
+            break;
+        case TensorComponentType::Stride2:
+            var_name += "_stride2";
+            break;
+        case TensorComponentType::Stride3:
+            var_name += "_stride3";
+            break;
+        case TensorComponentType::Stride4:
+            var_name += "_stride4";
+            break;
+        case TensorComponentType::Dim0:
+            var_name += "_dim0";
+            break;
+        case TensorComponentType::Dim1:
+            var_name += "_dim1";
+            break;
+        case TensorComponentType::Dim2:
+            var_name += "_dim2";
+            break;
+        case TensorComponentType::Dim3:
+            var_name += "_dim3";
+            break;
+        case TensorComponentType::Dim4:
+            var_name += "_dim4";
+            break;
+        case TensorComponentType::Dim1xDim2:
+            var_name += "_dim1xdim2";
+            break;
+        case TensorComponentType::Dim2xDim3:
+            var_name += "_dim2xdim3";
+            break;
+        case TensorComponentType::Dim1xDim2xDim3:
+            var_name += "_dim1xdim2xdim3";
+            break;
+        default:
+            COMPUTE_KERNEL_WRITER_ERROR_ON_MSG("Unsupported tensor component");
+            return "";
+    }
+
+    return var_name;
+}
+
+std::vector<TensorStorageVariable> CLTensorArgument::storages() const
+{
+    std::vector<TensorStorageVariable> storages;
+    for(auto &val : _storages_used)
+    {
+        TensorStorageVariable t;
+        t.val  = create_storage_name(val);
+        t.type = cl_get_variable_storagetype_as_string(val);
+        storages.push_back(t);
+    }
+
+    return storages;
+}
+
+std::vector<TileVariable> CLTensorArgument::components() const
+{
+    std::vector<TileVariable> components;
+
+    for(auto &val : _components_used)
+    {
+        TileVariable t;
+        t.str      = create_component_name(val);
+        t.desc.dt  = DataType::Int32;
+        t.desc.len = 1;
+        components.push_back(t);
+    }
+
+    return components;
+}
+} // namespace ckw