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https://github.com/ggml-org/llama.cpp.git
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ggml : implement GEGLU_ERF and GEGLU_QUICK ops (#14445)
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@@ -383,6 +383,24 @@ static void gated_op_fused_swiglu(const T * x, const T * g, T * dst, const uint6
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}
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}
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template<typename T>
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static void gated_op_fused_geglu_erf(const T * x, const T * g, T * dst, const uint64_t k, const uint64_t n, const uint64_t o0, const uint64_t o1, const sycl::nd_item<1> &item_ct1) {
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SYCL_GLOBAL_ID_LOOP(k, item_ct1) {
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const int64_t j0 = (i / n) * o0 + (i % n);
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const int64_t j1 = o0 == o1 ? j0 : (i / n) * o1 + (i % n);
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dst[i] = op_gelu_erf(x[j0]) * g[j1];
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}
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}
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template<typename T>
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static void gated_op_fused_geglu_quick(const T * x, const T * g, T * dst, const uint64_t k, const uint64_t n, const uint64_t o0, const uint64_t o1, const sycl::nd_item<1> &item_ct1) {
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SYCL_GLOBAL_ID_LOOP(k, item_ct1) {
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const int64_t j0 = (i / n) * o0 + (i % n);
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const int64_t j1 = o0 == o1 ? j0 : (i / n) * o1 + (i % n);
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dst[i] = op_gelu_quick(x[j0]) * g[j1];
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}
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}
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namespace ggml_sycl_detail {
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static void acc_f32_sycl(const float *x, const float *y, float *dst,
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const int n_elements, const int ne10, const int ne11,
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@@ -978,6 +996,28 @@ static inline void ggml_sycl_op_swiglu(ggml_backend_sycl_context & ctx, ggml_ten
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});
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}
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static inline void ggml_sycl_op_geglu_erf(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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ggml_sycl_detail::dispatch_ggml_sycl_op_fused_glu(ctx, dst,
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[](const auto* x_ptr, const auto* g_ptr, auto* dst_ptr, uint64_t k, uint64_t n, uint64_t o0, uint64_t o1, queue_ptr main_stream) {
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const uint32_t num_blocks = ceil_div(k, SYCL_GELU_BLOCK_SIZE);
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sycl_parallel_for(main_stream,
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sycl::nd_range<1>((num_blocks * sycl::range<1>(SYCL_GELU_BLOCK_SIZE)), sycl::range<1>(SYCL_GELU_BLOCK_SIZE)), [=](sycl::nd_item<1> item_ct1) {
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gated_op_fused_geglu_erf(x_ptr, g_ptr, dst_ptr, k, n, o0, o1, item_ct1);
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});
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});
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}
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static inline void ggml_sycl_op_geglu_quick(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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ggml_sycl_detail::dispatch_ggml_sycl_op_fused_glu(ctx, dst,
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[](const auto* x_ptr, const auto* g_ptr, auto* dst_ptr, uint64_t k, uint64_t n, uint64_t o0, uint64_t o1, queue_ptr main_stream) {
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const uint32_t num_blocks = ceil_div(k, SYCL_GELU_BLOCK_SIZE);
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sycl_parallel_for(main_stream,
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sycl::nd_range<1>((num_blocks * sycl::range<1>(SYCL_GELU_BLOCK_SIZE)), sycl::range<1>(SYCL_GELU_BLOCK_SIZE)), [=](sycl::nd_item<1> item_ct1) {
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gated_op_fused_geglu_quick(x_ptr, g_ptr, dst_ptr, k, n, o0, o1, item_ct1);
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});
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});
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}
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void ggml_sycl_sqrt(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1);
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@@ -1118,3 +1158,13 @@ void ggml_sycl_swiglu(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1);
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ggml_sycl_op_swiglu(ctx, dst);
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}
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void ggml_sycl_geglu_erf(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1);
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ggml_sycl_op_geglu_erf(ctx, dst);
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}
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void ggml_sycl_geglu_quick(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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scope_op_debug_print scope_dbg_print(__func__, dst, /*num_src=*/1);
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ggml_sycl_op_geglu_quick(ctx, dst);
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}
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@@ -80,5 +80,7 @@ void ggml_sycl_elu(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
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void ggml_sycl_geglu(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
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void ggml_sycl_reglu(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
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void ggml_sycl_swiglu(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
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void ggml_sycl_geglu_erf(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
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void ggml_sycl_geglu_quick(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
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#endif // GGML_SYCL_ELEMENTWISE_HPP
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@@ -3687,6 +3687,12 @@ static bool ggml_sycl_compute_forward(ggml_backend_sycl_context & ctx, struct gg
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case GGML_GLU_OP_SWIGLU:
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ggml_sycl_swiglu(ctx, dst);
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break;
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case GGML_GLU_OP_GEGLU_ERF:
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ggml_sycl_geglu_erf(ctx, dst);
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break;
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case GGML_GLU_OP_GEGLU_QUICK:
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ggml_sycl_geglu_quick(ctx, dst);
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break;
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default:
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return false;
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}
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@@ -4232,6 +4238,8 @@ static bool ggml_backend_sycl_device_supports_op(ggml_backend_dev_t dev, const g
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case GGML_GLU_OP_REGLU:
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case GGML_GLU_OP_GEGLU:
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case GGML_GLU_OP_SWIGLU:
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case GGML_GLU_OP_GEGLU_ERF:
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case GGML_GLU_OP_GEGLU_QUICK:
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return ggml_is_contiguous_1(op->src[0]);
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default:
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return false;
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