metal : add SILU_BACK (#25982)

* feat(silu_back): implemented silu_back op for f32

* fix(silu_back): removed redundant asserts in ggml-metal-ops.cpp function ggml_metal_op_silu_back.
This commit is contained in:
Talha Adnan
2026-08-02 22:39:28 +03:00
committed by GitHub
parent 9d21b57f2e
commit 221f0f6356
7 changed files with 79 additions and 0 deletions
+17
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@@ -2135,6 +2135,23 @@ ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_opt_step_sgd(ggm
return res;
}
ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_silu_back(ggml_metal_library_t lib, const ggml_tensor * op) {
assert(op->op == GGML_OP_SILU_BACK);
char base[256];
char name[256];
snprintf(base, 256, "kernel_silu_back_%s", ggml_type_name(op->src[0]->type));
snprintf(name, 256, "%s", base);
ggml_metal_pipeline_with_params res = ggml_metal_library_get_pipeline(lib, name);
if (!res.pipeline) {
res = ggml_metal_library_compile_pipeline(lib, base, name, nullptr);
}
return res;
}
ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_memset(ggml_metal_library_t lib, const ggml_tensor * op) {
GGML_ASSERT(op->type == GGML_TYPE_I64);
+1
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@@ -117,6 +117,7 @@ struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_diag
struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_repeat (ggml_metal_library_t lib, enum ggml_type tsrc);
struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_concat (ggml_metal_library_t lib, enum ggml_type tsrc);
struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_unary (ggml_metal_library_t lib, const struct ggml_tensor * op);
struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_silu_back (ggml_metal_library_t lib, const struct ggml_tensor * op);
struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_glu (ggml_metal_library_t lib, const struct ggml_tensor * op);
struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_sum (ggml_metal_library_t lib, const struct ggml_tensor * op);
struct ggml_metal_pipeline_with_params ggml_metal_library_get_pipeline_sum_rows (ggml_metal_library_t lib, const struct ggml_tensor * op);
+8
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@@ -1137,6 +1137,14 @@ bool ggml_metal_device_supports_op(ggml_metal_device_t dev, const struct ggml_te
default:
return false;
}
case GGML_OP_SILU_BACK:
return (op->src[0]->type == GGML_TYPE_F32) &&
(op->src[1]->type == GGML_TYPE_F32) &&
(op->type == GGML_TYPE_F32) &&
ggml_is_contiguous(op->src[0]) &&
ggml_is_contiguous(op->src[1]) &&
ggml_is_contiguous(op) &&
ggml_are_same_shape(op->src[0], op->src[1]);
case GGML_OP_GLU:
switch (ggml_get_glu_op(op)) {
case GGML_GLU_OP_REGLU:
+4
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@@ -1265,4 +1265,8 @@ typedef struct {
int64_t np;
} ggml_metal_kargs_opt_step_sgd;
typedef struct {
int64_t ne;
} ggml_metal_kargs_silu_back;
#endif // GGML_METAL_IMPL
+34
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@@ -299,6 +299,10 @@ static int ggml_metal_op_encode_impl(ggml_metal_op_t ctx, int idx) {
{
n_fuse = ggml_metal_op_unary(ctx, idx);
} break;
case GGML_OP_SILU_BACK:
{
n_fuse = ggml_metal_op_silu_back(ctx, idx);
} break;
case GGML_OP_GLU:
{
n_fuse = ggml_metal_op_glu(ctx, idx);
@@ -3473,6 +3477,36 @@ int ggml_metal_op_bin(ggml_metal_op_t ctx, int idx) {
return n_fuse;
}
int ggml_metal_op_silu_back(ggml_metal_op_t ctx, int idx) {
ggml_tensor * op = ctx->node(idx);
ggml_metal_library_t lib = ctx->lib;
ggml_metal_encoder_t enc = ctx->enc;
auto pipeline = ggml_metal_library_get_pipeline_silu_back(lib, op);
const int64_t ne = ggml_nelements(op);
ggml_metal_kargs_silu_back args = {
/*.ne =*/ ne,
};
int arg_idx{0};
ggml_metal_encoder_set_pipeline(enc, pipeline);
ggml_metal_encoder_set_bytes (enc, &args, sizeof(args), arg_idx++);
ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[0]), arg_idx++);
ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op->src[1]), arg_idx++);
ggml_metal_encoder_set_buffer (enc, ggml_metal_get_buffer_id(op), arg_idx++);
const int nth = std::min<int64_t>(ggml_metal_pipeline_max_theads_per_threadgroup(pipeline), ne);
const int64_t n = (ne + nth - 1) / nth;
ggml_metal_encoder_dispatch_threadgroups(enc, n, 1, 1, nth, 1, 1);
return 1;
}
int ggml_metal_op_l2_norm(ggml_metal_op_t ctx, int idx) {
ggml_tensor * op = ctx->node(idx);
+1
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@@ -71,6 +71,7 @@ int ggml_metal_op_mul_mat_id (ggml_metal_op_t ctx, int idx);
int ggml_metal_op_add_id (ggml_metal_op_t ctx, int idx);
int ggml_metal_op_flash_attn_ext (ggml_metal_op_t ctx, int idx);
int ggml_metal_op_bin (ggml_metal_op_t ctx, int idx);
int ggml_metal_op_silu_back (ggml_metal_op_t ctx, int idx);
int ggml_metal_op_l2_norm (ggml_metal_op_t ctx, int idx);
int ggml_metal_op_group_norm (ggml_metal_op_t ctx, int idx);
int ggml_metal_op_norm (ggml_metal_op_t ctx, int idx);
+14
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@@ -1255,6 +1255,20 @@ template [[host_name("kernel_unary_f32_f32_4")]] kernel kernel_unary_t kernel_un
template [[host_name("kernel_unary_f16_f16")]] kernel kernel_unary_t kernel_unary_impl<half, half, float>;
template [[host_name("kernel_unary_f16_f16_4")]] kernel kernel_unary_t kernel_unary_impl<half4, half4, float4>;
kernel void kernel_silu_back_f32(
constant ggml_metal_kargs_silu_back & args,
device const float * dy,
device const float * x,
device float * dx,
uint gid [[thread_position_in_grid]]) {
if (gid >= args.ne) {
return;
}
const float s = 1.0f / (1.0f + exp(-x[gid]));
dx[gid] = dy[gid] * s * (1.0f + x[gid] * (1.0f - s));
}
// OP: 0 - add, 1 - sub, 2 - mul, 3 - div
constant short FC_bin_op [[function_constant(FC_BIN + 0)]];
constant short FC_bin_f [[function_constant(FC_BIN + 1)]];