hexagon: support for OP_CPY, host buffers now optional, hvx-utils refactoring and optimizations (#18822)
* hexagon: disable repack buffers if host buffers are disabled, improved handling of env vars * hexagon: add support for OP_CPY fp16/fp32 -> fp16/fp32 Factore out all hvx_copy functions into hvx-copy.h header and reduced code duplication. Update HTP ops infra to support OP_CPY * hexagon: cleanup and refactor hex/hvx/htp headers and helper libs hex is basically all scalar/core platform stuff (L2, DMA, basic utils) hvx is all hvx related utils, helpers, etc htp is higher level stuff like Ops, etc hvx-utils library got a nice round of cleanup and refactoring to reduce duplication use hvx_vec_store_a where possible * hexagon: refactor HVX sigmoid functions to hvx-sigmoid.h Moved sigmoid and tanh vector functions from hvx-utils.h to a new header hvx-sigmoid.h. Implemented aligned and unaligned variants for sigmoid array processing using a macro pattern similar to hvx-copy.h. Updated act-ops.c to use the new aligned variant hvx_sigmoid_f32_aa. Removed unused hvx-sigmoid.c. * hexagon: factor out hvx-sqrt.h * hexagon: mintor update to hvx-utils.h * hexagon: remove spurios log * hexagon: factor out and optimize hvx_add/sub/mul * hexagon: remove _opt variants of add/sub/mul as they simply fully aligned versions * hexagon: refactor reduction functions to hvx-reduce.h Moved `hvx_self_max_f32` and `hvx_self_sum_f32` from `hvx-utils.h`/`.c` to `hvx-reduce.h`. Renamed them to `hvx_reduce_max_f32` and `hvx_reduce_sum_f32`. Added aligned (`_a`) and unaligned (`_u`) variants and used macros to unify logic. Updated `softmax-ops.c` to use the new functions. * hexagon: refactor the rest of arithmetic functions to hvx-arith.h Moved `hvx_sum_of_squares_f32`, `hvx_min_scalar_f32`, and `hvx_clamp_scalar_f32` from `hvx-utils.c/h` to `hvx-arith.h`. Implemented aligned/unaligned variants (`_aa`, `_au`, etc.) and used macros to reduce code duplication. Updated `hvx_min_scalar_f32` and `hvx_clamp_scalar_f32` to use `dst, src, ..., n` argument order. Updated call sites in `act-ops.c`. Refactor Hexagon HVX arithmetic functions (min, clamp) to hvx-arith.h Moved `hvx_min_scalar_f32` and `hvx_clamp_scalar_f32` from `hvx-utils.c/h` to `hvx-arith.h`. Implemented aligned/unaligned variants (`_aa`, `_au`, etc.) and used macros to reduce code duplication. Updated these functions to use `dst, src, ..., n` argument order and updated call sites in `act-ops.c`. `hvx_sum_of_squares_f32` remains in `hvx-utils.c` as requested. * hexagon: refactor hvx_sum_of_squares_f32 - Modify `hvx_sum_of_squares_f32` in `ggml/src/ggml-hexagon/htp/hvx-reduce.h` to use `dst, src` signature. - Implement `_a` (aligned) and `_u` (unaligned) variants for `hvx_sum_of_squares_f32`. - Update `hvx_reduce_loop_body` macro to support both returning and storing results via `finalize_op`. - Update existing reduction functions in `hvx-reduce.h` to use the updated macro. - Update `rms_norm_htp_f32` in `ggml/src/ggml-hexagon/htp/unary-ops.c` to match the new signature. * hexagon: use hvx_splat instead of memset * hexagon: consistent use of f32/f16 in all function names to match the rest of GGML * hexagon: fix hvx_copy_f16_f32 on v75 and older * hexagon: update readme to include GGML_HEXAGON_EXPERIMENTAL * scripts: update snapdragon/adb scripts to enable host param
This commit is contained in:
@@ -2,36 +2,25 @@
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#pragma clang diagnostic ignored "-Wunused-function"
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#pragma clang diagnostic ignored "-Wunused-but-set-variable"
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#ifdef HTP_DEBUG
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# define FARF_HIGH 1
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#endif
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#include <HAP_farf.h>
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#include <HAP_mem.h>
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#include <HAP_perf.h>
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#include <HAP_ps.h>
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#include <hexagon_protos.h>
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#include <hexagon_types.h>
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#include <math.h>
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#include <qurt_thread.h>
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#include <string.h>
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#include "hex-dma.h"
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#include "hvx-utils.h"
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#define GGML_COMMON_DECL_C
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#include "ggml-common.h"
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#include "htp-ctx.h"
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#include "htp-dma.h"
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#include "htp-msg.h"
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#include "htp-ops.h"
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#include "hvx-utils.h"
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#include "ops-utils.h"
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typedef void (*hvx_elemwise_f32_func)(const uint8_t * src0,
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const uint8_t * src1,
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uint8_t * data_dst,
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const int num_elems);
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typedef void (*hvx_elemwise_f32_func)(uint8_t * data_dst, const uint8_t * src0, const uint8_t * src1, const uint32_t num_elems);
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static hvx_elemwise_f32_func func_table_HVX[] = { hvx_mul_f32, hvx_add_f32, hvx_sub_f32 };
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static hvx_elemwise_f32_func func_table_HVX_opt[] = { hvx_mul_f32_opt, hvx_add_f32_opt, hvx_sub_f32_opt };
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static hvx_elemwise_f32_func func_table_HVX_opt[] = { hvx_mul_f32_aa, hvx_add_f32_aa, hvx_sub_f32_aa };
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#define htp_binary_preamble \
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const struct htp_tensor * src0 = &octx->src0; \
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@@ -98,9 +87,8 @@ static void binary_job_f32_per_thread(struct htp_ops_context * octx,
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int is_aligned = 1;
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int opt_path = 0;
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if ((0 == htp_is_aligned((void *) src0->data, VLEN)) || (0 == htp_is_aligned((void *) src1->data, VLEN)) ||
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(0 == htp_is_aligned((void *) dst->data, VLEN))) {
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FARF(HIGH, "binary-f32: unaligned addresses in elementwise op, possibly slower execution\n");
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if ((0 == hex_is_aligned((void *) src0->data, VLEN)) || (0 == hex_is_aligned((void *) src1->data, VLEN)) ||
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(0 == hex_is_aligned((void *) dst->data, VLEN))) {
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is_aligned = 0;
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}
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if ((1 == is_aligned) && !(nb01 & (VLEN - 1))) {
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@@ -130,24 +118,24 @@ static void binary_job_f32_per_thread(struct htp_ops_context * octx,
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const uint8_t * restrict src1_ptr = data_src1 + i13 * nb13 + i12 * nb12 + i11 * src1_row_size;
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if (ir + 1 < src0_end_row) {
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htp_l2fetch(src0_ptr + ne00, 1, src0_row_size, src0_row_size);
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hex_l2fetch(src0_ptr + ne00, src0_row_size, src0_row_size, 1);
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if (src1_row_size == src0_row_size) {
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htp_l2fetch(src1_ptr, 1, src1_row_size, src1_row_size);
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hex_l2fetch(src1_ptr, src1_row_size, src1_row_size, 1);
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}
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}
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const uint32_t nr0 = ne00 / ne10;
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if (nr0 > 1) {
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if ((1 == is_aligned) && (nr0 == ne00)) {
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hvx_bcast_fp32_a(spad_data_th, *(float *) src1_ptr, nr0);
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hvx_splat_f32_a(spad_data_th, *(float *) src1_ptr, nr0);
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} else {
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for (uint32_t r = 0; r < nr0; r++) {
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memcpy(spad_data_th + r * nb11, (const uint8_t *) src1_ptr, nb11);
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}
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}
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func_HVX((const uint8_t *) src0_ptr, (const uint8_t *) spad_data_th, (uint8_t *) dst_ptr, ne00);
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func_HVX((uint8_t *) dst_ptr, (const uint8_t *) src0_ptr, (const uint8_t *) spad_data_th, ne00);
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} else {
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func_HVX((const uint8_t *) src0_ptr, (const uint8_t *) src1_ptr, (uint8_t *) dst_ptr, ne00);
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func_HVX((uint8_t *) dst_ptr, (const uint8_t *) src0_ptr, (const uint8_t *) src1_ptr, ne00);
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}
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src0_ptr += src0_row_size;
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@@ -185,11 +173,6 @@ static void binary_add_id_job_f32_per_thread(struct htp_ops_context * octx,
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uint64_t t1, t2;
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t1 = HAP_perf_get_qtimer_count();
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if ((0 == htp_is_aligned((void *) src0->data, VLEN)) || (0 == htp_is_aligned((void *) src1->data, VLEN)) ||
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(0 == htp_is_aligned((void *) dst->data, VLEN))) {
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FARF(HIGH, "add-id-f32: unaligned addresses, possibly slower execution\n");
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}
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const uint8_t * restrict data_src0 = (const uint8_t *) src0->data;
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const uint8_t * restrict data_src1 = (const uint8_t *) src1->data;
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uint8_t * restrict data_dst = (uint8_t *) dst->data;
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@@ -210,9 +193,9 @@ static void binary_add_id_job_f32_per_thread(struct htp_ops_context * octx,
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const float * restrict src1_ptr = (const float *) (data_src1 + 0 + 0 + i11 * nb11);
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if (ir + 1 < src0_end_row) {
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htp_l2fetch(src0_ptr + ne00, 1, src0_row_size, src0_row_size);
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hex_l2fetch(src0_ptr + ne00, src0_row_size, src0_row_size, 1);
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if (src1_row_size == src0_row_size) {
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htp_l2fetch(src1_ptr + ne10, 1, src1_row_size, src1_row_size);
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hex_l2fetch(src1_ptr + ne10, src1_row_size, src1_row_size, 1);
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}
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}
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@@ -221,9 +204,9 @@ static void binary_add_id_job_f32_per_thread(struct htp_ops_context * octx,
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for (uint32_t r = 0; r < nr0; r++) {
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memcpy(spad_data + r * nb10, (const uint8_t *) src1_ptr, nb10);
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}
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func_HVX((const uint8_t *) src0_ptr, (const uint8_t *) spad_data, (uint8_t *) dst_ptr, ne00);
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func_HVX((uint8_t *) dst_ptr, (const uint8_t *) src0_ptr, (const uint8_t *) spad_data, ne00);
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} else {
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func_HVX((const uint8_t *) src0_ptr, (const uint8_t *) src1_ptr, (uint8_t *) dst_ptr, ne00);
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func_HVX((uint8_t *) dst_ptr, (const uint8_t *) src0_ptr, (const uint8_t *) src1_ptr, ne00);
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}
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}
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@@ -299,9 +282,9 @@ static int execute_op_binary_f32(struct htp_ops_context * octx) {
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const size_t dst_row_size = dst->nb[1];
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// VTCM scratchpads for all tensors
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octx->dst_spad.size = htp_round_up(dst_row_size, 128) * n_threads;
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octx->src0_spad.size = htp_round_up(src0_row_size, 128) * n_threads;
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octx->src1_spad.size = htp_round_up(src1_row_size, 128) * n_threads;
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octx->dst_spad.size = hex_round_up(dst_row_size, 128) * n_threads;
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octx->src0_spad.size = hex_round_up(src0_row_size, 128) * n_threads;
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octx->src1_spad.size = hex_round_up(src1_row_size, 128) * n_threads;
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size_t spad_size = octx->src0_spad.size + octx->src1_spad.size + octx->dst_spad.size;
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