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@@ -531,6 +531,7 @@ struct ggml_backend_opencl_context {
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cl_kernel kernel_mul_mv_q6_K_f32;
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cl_kernel kernel_mul_mv_mxfp4_f32, kernel_mul_mv_mxfp4_f32_flat;
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cl_kernel kernel_mul_mv_q8_0_f32, kernel_mul_mv_q8_0_f32_flat;
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+ cl_kernel kernel_solve_tri_f32;
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cl_kernel kernel_im2col_f32, kernel_im2col_f16;
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cl_kernel kernel_argsort_f32_i32;
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cl_kernel kernel_sum_rows_f32;
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@@ -952,6 +953,23 @@ static void load_cl_kernels(ggml_backend_opencl_context *backend_ctx, ggml_cl_ve
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GGML_LOG_CONT(".");
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}
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+ // solve_tri_f32
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+ {
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+#ifdef GGML_OPENCL_EMBED_KERNELS
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+ const std::string kernel_src {
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+ #include "solve_tri.cl.h"
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+ };
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+#else
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+ const std::string kernel_src = read_file("solve_tri.cl");
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+#endif
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+ cl_program prog =
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+ build_program_from_source(backend_ctx->context, backend_ctx->device, kernel_src.c_str(), compile_opts);
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+
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+ CL_CHECK((backend_ctx->kernel_solve_tri_f32 = clCreateKernel(prog, "kernel_solve_tri_f32", &err), err));
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+ GGML_LOG_CONT(".");
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+ CL_CHECK(clReleaseProgram(prog));
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+ }
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+
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// im2col_f32
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{
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#ifdef GGML_OPENCL_EMBED_KERNELS
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@@ -3266,6 +3284,8 @@ static bool ggml_opencl_supports_op(ggml_backend_dev_t dev, const struct ggml_te
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}
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return true;
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}
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+ case GGML_OP_SOLVE_TRI:
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+ return op->src[0]->type == GGML_TYPE_F32 && ggml_is_contiguous(op->src[0]);
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case GGML_OP_IM2COL:
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return true;
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case GGML_OP_ARGSORT: {
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@@ -9474,6 +9494,72 @@ static void ggml_cl_rope(ggml_backend_t backend, const ggml_tensor * src0, const
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backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
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}
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+static void ggml_cl_solve_tri(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
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+ GGML_ASSERT(src0);
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+ GGML_ASSERT(src0->extra);
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+ GGML_ASSERT(src1);
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+ GGML_ASSERT(src1->extra);
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+ GGML_ASSERT(dst);
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+ GGML_ASSERT(dst->extra);
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+
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+ ggml_backend_opencl_context *backend_ctx = (ggml_backend_opencl_context *)backend->context;
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+
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+ ggml_tensor_extra_cl * extra0 = (ggml_tensor_extra_cl *)src0->extra;
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+ ggml_tensor_extra_cl * extra1 = (ggml_tensor_extra_cl *)src1->extra;
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+ ggml_tensor_extra_cl * extrad = (ggml_tensor_extra_cl *)dst->extra;
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+
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+ cl_ulong offset0 = extra0->offset + src0->view_offs;
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+ cl_ulong offset1 = extra1->offset + src1->view_offs;
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+ cl_ulong offsetd = extrad->offset + dst->view_offs;
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+
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+ cl_kernel kernel = backend_ctx->kernel_solve_tri_f32;
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+ GGML_ASSERT(kernel != nullptr);
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+
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+ const int n = src0->ne[0];
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+ const int k = src1->ne[0];
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+
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+ const cl_ulong nb00 = src0->nb[0];
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+ const cl_ulong nb01 = src0->nb[1];
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+ const cl_ulong nb02 = src0->nb[2];
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+ const cl_ulong nb03 = src0->nb[3];
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+
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+ const cl_ulong nb10 = src1->nb[0];
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+ const cl_ulong nb11 = src1->nb[1];
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+ const cl_ulong nb12 = src1->nb[2];
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+ const cl_ulong nb13 = src1->nb[3];
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+
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+ const cl_ulong nb0 = dst->nb[0];
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+ const cl_ulong nb1 = dst->nb[1];
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+ const cl_ulong nb2 = dst->nb[2];
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+ const cl_ulong nb3 = dst->nb[3];
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+
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+ CL_CHECK(clSetKernelArg(kernel, 0, sizeof(cl_mem), &extra0->data_device));
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+ CL_CHECK(clSetKernelArg(kernel, 1, sizeof(cl_ulong), &offset0));
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+ CL_CHECK(clSetKernelArg(kernel, 2, sizeof(cl_mem), &extra1->data_device));
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+ CL_CHECK(clSetKernelArg(kernel, 3, sizeof(cl_ulong), &offset1));
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+ CL_CHECK(clSetKernelArg(kernel, 4, sizeof(cl_mem), &extrad->data_device));
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+ CL_CHECK(clSetKernelArg(kernel, 5, sizeof(cl_ulong), &offsetd));
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+ CL_CHECK(clSetKernelArg(kernel, 6, sizeof(int), &n));
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+ CL_CHECK(clSetKernelArg(kernel, 7, sizeof(int), &k));
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+ CL_CHECK(clSetKernelArg(kernel, 8, sizeof(cl_ulong), &nb00));
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+ CL_CHECK(clSetKernelArg(kernel, 9, sizeof(cl_ulong), &nb01));
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+ CL_CHECK(clSetKernelArg(kernel, 10, sizeof(cl_ulong),&nb02));
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+ CL_CHECK(clSetKernelArg(kernel, 11, sizeof(cl_ulong),&nb03));
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+ CL_CHECK(clSetKernelArg(kernel, 12, sizeof(cl_ulong),&nb10));
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+ CL_CHECK(clSetKernelArg(kernel, 13, sizeof(cl_ulong),&nb11));
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+ CL_CHECK(clSetKernelArg(kernel, 14, sizeof(cl_ulong),&nb12));
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+ CL_CHECK(clSetKernelArg(kernel, 15, sizeof(cl_ulong),&nb13));
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+ CL_CHECK(clSetKernelArg(kernel, 16, sizeof(cl_ulong),&nb0));
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+ CL_CHECK(clSetKernelArg(kernel, 17, sizeof(cl_ulong),&nb1));
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+ CL_CHECK(clSetKernelArg(kernel, 18, sizeof(cl_ulong),&nb2));
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+ CL_CHECK(clSetKernelArg(kernel, 19, sizeof(cl_ulong),&nb3));
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+
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+ size_t global_work_size[3]= { (size_t)k, (size_t)dst->ne[2], (size_t)dst->ne[3]};
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+ size_t local_work_size[] = {16, 4, 1};
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+
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+ backend_ctx->enqueue_ndrange_kernel(kernel, 3, global_work_size, local_work_size, dst);
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+}
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+
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static void ggml_cl_im2col(ggml_backend_t backend, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst) {
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GGML_ASSERT(src0);
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GGML_ASSERT(src1);
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@@ -10039,6 +10125,12 @@ bool ggml_cl_compute_forward(ggml_backend_t backend, struct ggml_tensor * tensor
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}
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func = ggml_cl_rope;
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break;
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+ case GGML_OP_SOLVE_TRI:
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+ if (!any_on_device) {
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+ return false;
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+ }
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+ func = ggml_cl_solve_tri;
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+ break;
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case GGML_OP_IM2COL:
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if (!any_on_device) {
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return false;
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