diff --git a/src/gpu/cl/operators/ClDirectConv3d.cpp b/src/gpu/cl/operators/ClDirectConv3d.cpp
index d101658..5d37f07 100644
--- a/src/gpu/cl/operators/ClDirectConv3d.cpp
+++ b/src/gpu/cl/operators/ClDirectConv3d.cpp
@@ -30,19 +30,19 @@
 {
 namespace opencl
 {
-void ClDirectConv3d::configure(const CLCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const Conv3dInfo &conv3d_info)
+void ClDirectConv3d::configure(const CLCompileContext &compile_context, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, ITensorInfo *dst, const Conv3dInfo &conv3d_info)
 {
-    ARM_COMPUTE_ERROR_ON_NULLPTR(src);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src0);
 
     // Configure direct convolution 3d kernel
     auto k = std::make_unique<kernels::ClDirectConv3dKernel>();
-    k->configure(compile_context, src, weights, biases, dst, conv3d_info);
+    k->configure(compile_context, src0, src1, src2, dst, conv3d_info);
     _direct_conv3d_kernel = std::move(k);
 }
 
-Status ClDirectConv3d::validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const Conv3dInfo &conv3d_info)
+Status ClDirectConv3d::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo &conv3d_info)
 {
-    ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClDirectConv3dKernel::validate(src, weights, biases, dst, conv3d_info));
+    ARM_COMPUTE_RETURN_ON_ERROR(kernels::ClDirectConv3dKernel::validate(src0, src1, src2, dst, conv3d_info));
     return Status{};
 }
 
diff --git a/src/gpu/cl/operators/ClDirectConv3d.h b/src/gpu/cl/operators/ClDirectConv3d.h
index ce9135b..d8ffefc 100644
--- a/src/gpu/cl/operators/ClDirectConv3d.h
+++ b/src/gpu/cl/operators/ClDirectConv3d.h
@@ -57,15 +57,15 @@
      * |F32            |F32            |F32    |F32            |
      *
      * @param[in]  compile_context The compile context to be used.
-     * @param[in]  src             Source tensor. 4 lower dimensions represent a single src [IFM, width, height, depth],
+     * @param[in]  src0            Source tensor. 4 lower dimensions represent a single src [IFM, width, height, depth],
      *                             while every optional dimension from 5 and above represent a batch of srcs.
-     * @param[in]  weights         Weights tensor. Weights are 5D tensor with dimensions [OFM, IFM, kernel_w, kernel_h, kernel_d].
-     * @param[in]  biases          Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
+     * @param[in]  src1            Weights tensor. Weights are 5D tensor with dimensions [OFM, IFM, kernel_w, kernel_h, kernel_d].
+     * @param[in]  src2            Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
      * @param[out] dst             Destination tensor. 4 lower dimensions represent a single dst [OFM, width, height, depth], while the rest represent batch of dsts.
      * @param[in]  conv3d_info     Contains strides, padding, rounding, activation, dilation and fast math information. Activation and fast math are currently unused.
      *
      */
-    void configure(const CLCompileContext &compile_context, const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, ITensorInfo *dst, const Conv3dInfo &conv3d_info);
+    void configure(const CLCompileContext &compile_context, const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, ITensorInfo *dst, const Conv3dInfo &conv3d_info);
 
     /** Static function to check if given info will lead to a valid configuration
      *
@@ -73,7 +73,7 @@
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *biases, const ITensorInfo *dst, const Conv3dInfo &conv3d_info);
+    static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, const Conv3dInfo &conv3d_info);
 
     // Inherited method overridden
     void run(ITensorPack &tensors) override;