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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 contains the an implementation of 3D convolution on a 4D image using GEMM kernels. It
+// uses parameters from the direct GEMM kernel. This is the part with the loads from memory (1/2).
+// This uses "CONVGEMM_WITH_IM2COL" as a switch to select between direct convgemm or first running
+// the im2col kernel to create a 'col' temporary matrix.
+// TODO: Currently only works with 'CONVGEMM_WITH_IM2COL' set
+//
+// =================================================================================================
+
+// Enables loading of this file using the C++ pre-processor's #include (C++11 standard raw string
+// literal). Comment-out this line for syntax-highlighting when developing.
+R"(
+
+// =================================================================================================
+#if defined(ROUTINE_CONVGEMM) && !defined(CONVGEMM_WITH_IM2COL)
+
+// Loads global off-chip memory into thread-private register files. This function is specific for
+// loading the image input tensor. This includes a bounds check.
+INLINE_FUNC real GlobalToPrivateCheckedImage(const __global real* restrict imagegm, const int image_offset_batch,
+ const int h_id, const int w_id, const int kwg,
+ const int input_h, const int input_w, const int channels,
+ const int kernel_h, const int kernel_w,
+ const int pad_h, const int pad_w,
+ const int stride_h, const int stride_w,
+ const int dilation_h, const int dilation_w) {
+
+ // Im2col indices
+ const int kernel_2d_index = kwg % (kernel_h * kernel_w);
+ const int kw_id = kernel_2d_index % kernel_w;
+ const int kh_id = kernel_2d_index / kernel_w;
+ const int c_id = kwg / (kernel_h * kernel_w);
+ const int h_index = -pad_h + kh_id * dilation_h + stride_h * h_id;
+ const int w_index = -pad_w + kw_id * dilation_w + stride_w * w_id;
+
+ // With bounds check
+ real result;
+ if (h_index >= 0 && h_index < input_h &&
+ w_index >= 0 && w_index < input_w) {
+ const int image_index = w_index + input_w * (h_index + input_h * c_id);
+ result = imagegm[image_index + image_offset_batch];
+ }
+ else {
+ SetToZero(result);
+ }
+ return result;
+}
+
+// Loads global off-chip memory into local (shared) memory on-chip. This function is specific for
+// loading the image input tensor. This includes a bounds check.
+INLINE_FUNC real GlobalToLocalCheckedImage(const __global realMD* restrict imagegm, LOCAL_PTR real* alm,
+ const int image_offset_batch,
+ const int h_id, const int w_id, const int kwg,
+ const int input_h, const int input_w, const int channels,
+ const int kernel_h, const int kernel_w,
+ const int pad_h, const int pad_w,
+ const int stride_h, const int stride_w,
+ const int dilation_h, const int dilation_w) {
+ #if MDIMCD == MDIMAD
+ const int la0 = get_local_id(0);
+ const int la1 = get_local_id(1);
+ #else
+ const int tid = get_local_id(0) + MDIMCD*get_local_id(1);
+ const int la0 = tid % MDIMAD;
+ const int la1 = tid / MDIMAD;
+ #endif
+ #pragma unroll
+ for (int _mia = 0; _mia < MWAD; _mia += 1) {
+ #pragma unroll
+ for (int _kia = 0; _kia < KWAD; _kia += 1) {
+
+ // Computes the indices for the global memory
+ int mg = _mia + la0*MWAD;
+ int kg = _kia + la1*KWAD;
+ int idm = mg + GetGroupID0()*WGD;
+ int idk = kg + kwg;
+
+ // Im2col indices
+ const int kernel_2d_index = idk % (kernel_h * kernel_w);
+ const int kw_id = kernel_2d_index % kernel_w;
+ const int kh_id = kernel_2d_index / kernel_w;
+ const int c_id = idk / (kernel_h * kernel_w);
+ const int h_index = -pad_h + kh_id * dilation_h + stride_h * h_id;
+ const int w_index = -pad_w + kw_id * dilation_w + stride_w * w_id;
+
+ // Loads the data from global memory into the local memory
+ if (h_index >= 0 && h_index < input_h &&
+ w_index >= 0 && w_index < input_w) {
+ const int image_index = w_index + input_w * (h_index + input_h * c_id);
+ const real result = imagegm[image_index + image_offset_batch];
+ alm[kg*(WGD + PADA) + mg] = result;
+ }
+ else {
+ SetToZero(alm[kg*(WGD + PADA) + mg]);
+ }
+ }
+ }
+}
+
+#endif
+// =================================================================================================
+
+// End of the C++11 raw string literal
+)"
+
+// =================================================================================================