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diff --git a/src/routines/levelx/xconvgemm.hpp b/src/routines/levelx/xconvgemm.hpp
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+
+// =================================================================================================
+// This file is part of the CLBlast project. The project is licensed under Apache Version 2.0. This
+// project loosely follows the Google C++ styleguide and uses a tab-size of two spaces and a max-
+// width of 100 characters per line.
+//
+// Author(s):
+//   Cedric Nugteren <www.cedricnugteren.nl>
+//
+// This file implements the Xconvgemm routine. The precision is implemented as a template argument.
+// This implements batched convolution of a 4D input 'image' tensor, a 3D input 'kernel' matrix,
+// resulting in a 4D output 'result' tensor.
+//
+// =================================================================================================
+
+#ifndef CLBLAST_ROUTINES_XCONVGEMM_H_
+#define CLBLAST_ROUTINES_XCONVGEMM_H_
+
+#include "routine.hpp"
+
+namespace clblast {
+// =================================================================================================
+
+// See comment at top of file for a description of the class
+template <typename T>
+class Xconvgemm: public Routine {
+ public:
+
+  // Constructor
+  enum class ConvGemmMethod {kWithIm2Col, kSingleKernel};
+  Xconvgemm(Queue &queue, EventPointer event, const std::string &name = "CONVGEMM",
+            const ConvGemmMethod method = ConvGemmMethod::kSingleKernel);
+
+  // Templated-precision implementation of the routine
+  void DoConvgemm(const size_t channels, const size_t height, const size_t width,
+                  const size_t kernel_h, const size_t kernel_w,
+                  const size_t pad_h, const size_t pad_w,
+                  const size_t stride_h, const size_t stride_w,
+                  const size_t dilation_h, const size_t dilation_w,
+                  const size_t num_kernels, const size_t batch_count,
+                  const Buffer<T> &im_buffer, const size_t im_offset,
+                  const Buffer<T> &kernel_buffer, const size_t kernel_offset,
+                  const Buffer<T> &result_buffer, const size_t result_offset);
+
+ private:
+  const ConvGemmMethod method_;
+};
+
+// =================================================================================================
+} // namespace clblast
+
+// CLBLAST_ROUTINES_XCONVGEMM_H_
+#endif