pool2d: move to a separate file
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4 changed files with 123 additions and 104 deletions
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@ -37,6 +37,7 @@
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#include "diagmask.hpp"
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#include "scale.hpp"
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#include "clamp.hpp"
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#include "pool2d.hpp"
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#include "gla.hpp"
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#endif // GGML_SYCL_BACKEND_HPP
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@ -1463,67 +1463,7 @@ static void k_sum_rows_f32(const float * x, float * dst, const int ncols,
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}
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}
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template <typename Ti, typename To>
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static void pool2d_nchw_kernel(
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const int ih, const int iw, const int oh, const int ow,
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const int kh, const int kw, const int sh, const int sw,
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const int ph, const int pw, const int parallel_elements,
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const Ti* src, To* dst, const enum ggml_op_pool op,
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const sycl::nd_item<3> &item_ct1) {
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int idx = item_ct1.get_local_id(2) +
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item_ct1.get_group(2) * item_ct1.get_local_range(2);
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if (idx >= parallel_elements) {
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return;
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}
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const int I_HW = ih * iw;
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const int O_HW = oh * ow;
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const int nc = idx / O_HW;
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const int cur_oh = idx % O_HW / ow;
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const int cur_ow = idx % O_HW % ow;
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const Ti* i_ptr = src + nc * I_HW;
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To* o_ptr = dst + nc * O_HW;
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const int start_h = cur_oh * sh - ph;
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const int bh = sycl::max(0, start_h);
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const int eh = sycl::min(ih, start_h + kh);
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const int start_w = cur_ow * sw - pw;
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const int bw = sycl::max(0, start_w);
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const int ew = sycl::min(iw, start_w + kw);
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To res = 0;
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switch (op) {
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case GGML_OP_POOL_AVG: res = 0; break;
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case GGML_OP_POOL_MAX: res = -FLT_MAX; break;
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default:
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res = (To) sycl::nan(uint32_t(0));
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break;
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}
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for (int i = bh; i < eh; i += 1) {
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for (int j = bw; j < ew; j += 1) {
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#if DPCT_COMPATIBILITY_TEMP >= 350
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/*
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DPCT1098:106: The '*' expression is used instead of the __ldg
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call. These two expressions do not provide the exact same
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functionality. Check the generated code for potential precision
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and/or performance issues.
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*/
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Ti cur = *(i_ptr + i * iw + j);
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#else
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Ti cur = i_ptr[i * iw + j];
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#endif
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switch (op) {
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case GGML_OP_POOL_AVG: res += (cur / (kh * kw)); break;
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case GGML_OP_POOL_MAX: res = sycl::max(res, (To)cur); break;
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default:
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res = (To) sycl::nan(uint32_t(0));
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break;
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}
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}
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}
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o_ptr[cur_oh * ow + cur_ow] = res;
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}
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static void quantize_row_q8_1_sycl(const float *x, void *vy, const int kx,
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const int ky, const int kx_padded,
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@ -1812,46 +1752,6 @@ catch (sycl::exception const &exc) {
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std::exit(1);
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}
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static void ggml_sycl_op_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor *dst) {
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GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
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GGML_ASSERT(dst->type == GGML_TYPE_F32);
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GGML_ASSERT(!ggml_backend_buffer_is_sycl_split(dst->buffer));
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const int32_t * opts = (const int32_t *)dst->op_params;
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enum ggml_op_pool op = static_cast<ggml_op_pool>(opts[0]);
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const int k0 = opts[1];
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const int k1 = opts[2];
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const int s0 = opts[3];
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const int s1 = opts[4];
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const int p0 = opts[5];
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const int p1 = opts[6];
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const int64_t IH = dst->src[0]->ne[1];
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const int64_t IW = dst->src[0]->ne[0];
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const int64_t N = dst->ne[3];
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const int64_t OC = dst->ne[2];
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const int64_t OH = dst->ne[1];
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const int64_t OW = dst->ne[0];
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const int parallel_elements = N * OC * OH * OW;
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const int num_blocks = (parallel_elements + SYCL_POOL2D_BLOCK_SIZE - 1) / SYCL_POOL2D_BLOCK_SIZE;
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dpct::queue_ptr main_stream = ctx.stream();
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const float * src0_dd = static_cast<const float *>(dst->src[0]->data);
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float * dst_dd = static_cast<float *>(dst->data);
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sycl::range<3> block_nums(1, 1, num_blocks);
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main_stream->parallel_for(
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sycl::nd_range<3>(block_nums *
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sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE),
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sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE)),
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[=](sycl::nd_item<3> item_ct1) {
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pool2d_nchw_kernel(IH, IW, OH, OW, k1, k0, s1, s0, p1, p0,
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parallel_elements, src0_dd, dst_dd, op,
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item_ct1);
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});
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}
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inline void ggml_sycl_op_sum(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
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GGML_ASSERT(dst->type == GGML_TYPE_F32);
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@ -2801,10 +2701,6 @@ catch (sycl::exception const &exc) {
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std::exit(1);
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}
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static void ggml_sycl_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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ggml_sycl_op_pool2d(ctx, dst);
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}
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static void ggml_sycl_sum(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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GGML_ASSERT(ggml_is_contiguous(dst->src[0]));
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ggml_sycl_op_sum(ctx, dst);
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114
ggml/src/ggml-sycl/pool2d.cpp
Normal file
114
ggml/src/ggml-sycl/pool2d.cpp
Normal file
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@ -0,0 +1,114 @@
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#include "pool2d.hpp"
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#include <float.h>
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template <typename Ti, typename To>
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static void pool2d_nchw_kernel(const int ih, const int iw, const int oh, const int ow, const int kh, const int kw,
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const int sh, const int sw, const int ph, const int pw, const int parallel_elements,
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const Ti * src, To * dst, const enum ggml_op_pool op,
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const sycl::nd_item<3> & item_ct1) {
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int idx = item_ct1.get_local_id(2) + item_ct1.get_group(2) * item_ct1.get_local_range(2);
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if (idx >= parallel_elements) {
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return;
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}
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const int I_HW = ih * iw;
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const int O_HW = oh * ow;
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const int nc = idx / O_HW;
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const int cur_oh = idx % O_HW / ow;
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const int cur_ow = idx % O_HW % ow;
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const Ti * i_ptr = src + nc * I_HW;
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To * o_ptr = dst + nc * O_HW;
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const int start_h = cur_oh * sh - ph;
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const int bh = sycl::max(0, start_h);
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const int eh = sycl::min(ih, start_h + kh);
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const int start_w = cur_ow * sw - pw;
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const int bw = sycl::max(0, start_w);
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const int ew = sycl::min(iw, start_w + kw);
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To res = 0;
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switch (op) {
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case GGML_OP_POOL_AVG:
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res = 0;
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break;
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case GGML_OP_POOL_MAX:
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res = -FLT_MAX;
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break;
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default:
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res = (To) sycl::nan(uint32_t(0));
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break;
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}
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for (int i = bh; i < eh; i += 1) {
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for (int j = bw; j < ew; j += 1) {
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#if DPCT_COMPATIBILITY_TEMP >= 350
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/*
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DPCT1098:106: The '*' expression is used instead of the __ldg
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call. These two expressions do not provide the exact same
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functionality. Check the generated code for potential precision
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and/or performance issues.
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*/
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Ti cur = *(i_ptr + i * iw + j);
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#else
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Ti cur = i_ptr[i * iw + j];
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#endif
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switch (op) {
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case GGML_OP_POOL_AVG:
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res += (cur / (kh * kw));
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break;
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case GGML_OP_POOL_MAX:
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res = sycl::max(res, (To) cur);
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break;
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default:
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res = (To) sycl::nan(uint32_t(0));
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break;
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}
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}
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}
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o_ptr[cur_oh * ow + cur_ow] = res;
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}
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static void ggml_sycl_op_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) try {
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GGML_ASSERT(dst->src[0]->type == GGML_TYPE_F32);
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GGML_ASSERT(dst->type == GGML_TYPE_F32);
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GGML_ASSERT(strcmp(dst->buffer->buft->iface.get_name(dst->buffer->buft), GGML_SYCL_NAME "_Split") != 0);
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const int32_t * opts = (const int32_t *) dst->op_params;
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enum ggml_op_pool op = static_cast<ggml_op_pool>(opts[0]);
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const int k0 = opts[1];
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const int k1 = opts[2];
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const int s0 = opts[3];
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const int s1 = opts[4];
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const int p0 = opts[5];
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const int p1 = opts[6];
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const int64_t IH = dst->src[0]->ne[1];
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const int64_t IW = dst->src[0]->ne[0];
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const int64_t N = dst->ne[3];
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const int64_t OC = dst->ne[2];
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const int64_t OH = dst->ne[1];
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const int64_t OW = dst->ne[0];
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const int parallel_elements = N * OC * OH * OW;
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const int num_blocks = (parallel_elements + SYCL_POOL2D_BLOCK_SIZE - 1) / SYCL_POOL2D_BLOCK_SIZE;
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dpct::queue_ptr main_stream = ctx.stream();
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const float * src0_dd = static_cast<const float *>(dst->src[0]->data);
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float * dst_dd = static_cast<float *>(dst->data);
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sycl::range<3> block_nums(1, 1, num_blocks);
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main_stream->parallel_for(sycl::nd_range<3>(block_nums * sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE),
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sycl::range<3>(1, 1, SYCL_IM2COL_BLOCK_SIZE)),
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[=](sycl::nd_item<3> item_ct1) {
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pool2d_nchw_kernel(IH, IW, OH, OW, k1, k0, s1, s0, p1, p0, parallel_elements, src0_dd,
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dst_dd, op, item_ct1);
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});
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} catch (const sycl::exception & exc) {
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std::cerr << exc.what() << "Exception caught at file:" << __FILE__ << ", line:" << __LINE__ << std::endl;
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std::exit(1);
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}
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void ggml_sycl_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst) {
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GGML_SYCL_DEBUG("call %s\n", __func__);
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ggml_sycl_op_pool2d(ctx, dst);
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GGML_SYCL_DEBUG("call %s done\n", __func__);
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}
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8
ggml/src/ggml-sycl/pool2d.hpp
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8
ggml/src/ggml-sycl/pool2d.hpp
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#ifndef GGML_SYCL_POOL2D_HPP
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#define GGML_SYCL_POOL2D_HPP
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#include "common.hpp"
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void ggml_sycl_pool2d(ggml_backend_sycl_context & ctx, ggml_tensor * dst);
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#endif // GGML_SYCL_POOL2D_HPP
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