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Vulkan: add GGML_OP_FUSED_MUL_UNARY (#580)

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Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
This commit is contained in:
Kawrakow
2025-07-03 18:03:23 +02:00
committed by GitHub
parent b445c83eb9
commit 8d4f0a61db
6 changed files with 142 additions and 7 deletions
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61
ggml/src/ggml-vulkan.cpp
View File

@@ -442,6 +442,11 @@ struct vk_device_struct {
vk_pipeline pipeline_tanh[2];
vk_pipeline pipeline_sigmoid[2];
// [src/dst 0=fp32,1=fp16]
vk_pipeline pipeline_fused_mul_gelu[2];
vk_pipeline pipeline_fused_mul_silu[2];
vk_pipeline pipeline_fused_mul_relu[2];
vk_pipeline pipeline_leaky_relu_f32;
vk_pipeline pipeline_silu_back_f32;
vk_pipeline pipeline_diag_mask_inf_f32;
@@ -2747,6 +2752,13 @@ static void ggml_vk_load_shaders(vk_device& device) {
CREATE_UNARY(sigmoid)
#undef CREATE_UNARY
ggml_vk_create_pipeline(device, device->pipeline_fused_mul_silu[0], "fused_mul_silu_f32", fused_mul_silu_f32_len, fused_mul_silu_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
ggml_vk_create_pipeline(device, device->pipeline_fused_mul_silu[1], "fused_mul_silu_f16", fused_mul_silu_f16_len, fused_mul_silu_f16_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
ggml_vk_create_pipeline(device, device->pipeline_fused_mul_gelu[0], "fused_mul_gelu_f32", fused_mul_gelu_f32_len, fused_mul_gelu_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
ggml_vk_create_pipeline(device, device->pipeline_fused_mul_gelu[1], "fused_mul_gelu_f16", fused_mul_gelu_f16_len, fused_mul_gelu_f16_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
ggml_vk_create_pipeline(device, device->pipeline_fused_mul_relu[0], "fused_mul_relu_f32", fused_mul_relu_f32_len, fused_mul_relu_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
ggml_vk_create_pipeline(device, device->pipeline_fused_mul_relu[1], "fused_mul_relu_f16", fused_mul_relu_f16_len, fused_mul_relu_f16_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
ggml_vk_create_pipeline(device, device->pipeline_leaky_relu_f32, "leaky_relu_f32", leaky_relu_f32_len, leaky_relu_f32_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
ggml_vk_create_pipeline(device, device->pipeline_silu_back_f32, "silu_back_f32", silu_back_f32_len, silu_back_f32_data, "main", 3, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
@@ -6393,6 +6405,26 @@ static vk_pipeline ggml_vk_op_get_pipeline(ggml_backend_vk_context * ctx, const
return ctx->device->pipeline_rms_norm_back_f32;
}
return nullptr;
case GGML_OP_FUSED_MUL_UNARY:
if ((src0->type != GGML_TYPE_F32 && src0->type != GGML_TYPE_F16) ||
(src1->type != GGML_TYPE_F32 && src1->type != GGML_TYPE_F16) ||
(dst->type != GGML_TYPE_F32 && dst->type != GGML_TYPE_F16) ||
(src0->type != dst->type) || (src1->type != dst->type)) {
return nullptr;
} else {
ggml_unary_op unary_op = (ggml_unary_op)dst->op_params[0];
switch (unary_op) {
case GGML_UNARY_OP_SILU:
return ctx->device->pipeline_fused_mul_silu[dst->type == GGML_TYPE_F16];
case GGML_UNARY_OP_GELU:
return ctx->device->pipeline_fused_mul_gelu[dst->type == GGML_TYPE_F16];
case GGML_UNARY_OP_RELU:
return ctx->device->pipeline_fused_mul_relu[dst->type == GGML_TYPE_F16];
default:
break;
}
return nullptr;
}
case GGML_OP_UNARY:
if ((src0->type != GGML_TYPE_F32 && src0->type != GGML_TYPE_F16) ||
(dst->type != GGML_TYPE_F32 && dst->type != GGML_TYPE_F16) ||
@@ -6830,6 +6862,7 @@ static void ggml_vk_op_f32(ggml_backend_vk_context * ctx, vk_context& subctx, co
case GGML_OP_CPY:
case GGML_OP_CONCAT:
case GGML_OP_UPSCALE:
case GGML_OP_FUSED_MUL_UNARY:
case GGML_OP_UNARY:
{
uint32_t ne = ggml_nelements(dst);
@@ -7212,6 +7245,13 @@ static void ggml_vk_unary(ggml_backend_vk_context * ctx, vk_context& subctx, con
ggml_vk_op_f32<vk_op_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_UNARY, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }, dryrun);
}
static void ggml_vk_fused_mul_unary(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, const ggml_tensor * src1, ggml_tensor * dst, bool dryrun = false) {
GGML_ASSERT(ggml_is_contiguous(src0));
GGML_ASSERT(ggml_are_same_shape(src0, src1));
GGML_ASSERT(ggml_are_same_shape(src0, dst));
ggml_vk_op_f32<vk_op_push_constants>(ctx, subctx, src0, src1, nullptr, dst, GGML_OP_FUSED_MUL_UNARY, { (uint32_t)ggml_nelements(src0), 0, 0.0f, 0.0f }, dryrun);
}
static void ggml_vk_diag_mask_inf(ggml_backend_vk_context * ctx, vk_context& subctx, const ggml_tensor * src0, ggml_tensor * dst, bool dryrun = false) {
int32_t * op_params = (int32_t *)dst->op_params;
ggml_vk_op_f32<vk_op_diag_mask_push_constants>(ctx, subctx, src0, nullptr, nullptr, dst, GGML_OP_DIAG_MASK_INF, { (uint32_t)src0->ne[0], (uint32_t)src0->ne[1], op_params[0] }, dryrun);
@@ -8396,6 +8436,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
return false;
}
break;
case GGML_OP_FUSED_MUL_UNARY:
case GGML_OP_REPEAT:
case GGML_OP_REPEAT_BACK:
case GGML_OP_GET_ROWS:
@@ -8478,6 +8519,7 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
case GGML_OP_FUSED_RMS_NORM:
case GGML_OP_RMS_NORM_BACK:
case GGML_OP_UNARY:
case GGML_OP_FUSED_MUL_UNARY:
case GGML_OP_DIAG_MASK_INF:
case GGML_OP_SOFT_MAX:
case GGML_OP_SOFT_MAX_BACK:
@@ -8590,6 +8632,9 @@ static bool ggml_vk_build_graph(ggml_backend_vk_context * ctx, ggml_tensor * nod
case GGML_OP_RMS_NORM_BACK:
ggml_vk_rms_norm_back(ctx, compute_ctx, src0, src1, node, dryrun);
break;
case GGML_OP_FUSED_MUL_UNARY:
ggml_vk_fused_mul_unary(ctx, compute_ctx, src0, src1, node, dryrun);
break;
case GGML_OP_UNARY:
switch (ggml_get_unary_op(node)) {
@@ -8762,6 +8807,7 @@ static bool ggml_vk_compute_forward(ggml_backend_vk_context * ctx, ggml_tensor *
case GGML_OP_LEAKY_RELU:
case GGML_OP_REPEAT:
case GGML_OP_REPEAT_BACK:
case GGML_OP_FUSED_MUL_UNARY:
buf = tensor->buffer;
break;
@@ -9445,6 +9491,19 @@ GGML_CALL static bool ggml_backend_vk_supports_op(ggml_backend_t backend, const
return false;
}
break;
case GGML_OP_FUSED_MUL_UNARY:
switch ((ggml_unary_op)op->op_params[0]) {
case GGML_UNARY_OP_GELU:
case GGML_UNARY_OP_SILU:
case GGML_UNARY_OP_RELU:
return ggml_is_contiguous(op->src[0]) && ggml_are_same_shape(op->src[0], op->src[1]) &&
(op->src[0]->type == GGML_TYPE_F32 || op->src[0]->type == GGML_TYPE_F16) &&
(op->src[1]->type == GGML_TYPE_F32 || op->src[1]->type == GGML_TYPE_F16) &&
(op->src[0]->type == op->type) && (op->src[1]->type == op->type);
default:
return false;
}
break;
case GGML_OP_MUL_MAT:
case GGML_OP_MUL_MAT_ID:
{
@@ -10169,6 +10228,8 @@ static void ggml_vk_check_results_0(ggml_tensor * tensor) {
std::cerr << "Missing vk_check_results OP: " << ggml_op_name(tensor->op) << std::endl;
GGML_ABORT("fatal error");
}
} else if (tensor->op == GGML_OP_FUSED_MUL_UNARY) {
tensor_clone = ggml_fused_mul_unary(ggml_ctx, src_clone[0], src_clone[1], (ggml_unary_op)tensor->op_params[0]);
} else if (tensor->op == GGML_OP_CPY || tensor->op == GGML_OP_DUP) {
if (src1 == nullptr) {
tensor_clone = ggml_dup(ggml_ctx, src_clone[0]);

27
ggml/src/vulkan-shaders/fused_mul_gelu.comp Normal file
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@@ -0,0 +1,27 @@
#version 450
#include "generic_head.comp"
#include "types.comp"
#extension GL_EXT_control_flow_attributes : enable
layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
layout (binding = 1) readonly buffer Y {B_TYPE data_b[];};
layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
void main() {
const float GELU_COEF_A = 0.044715f;
const float SQRT_2_OVER_PI = 0.79788456080286535587989211986876f;
const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x;
if (i >= p.KX) {
return;
}
const float xi = float(data_a[i]);
const float yi = float(data_b[i]);
const float val = SQRT_2_OVER_PI*xi*(1.0f + GELU_COEF_A*xi*xi);
data_d[i] = D_TYPE(0.5f*xi*yi*(2.0f - 2.0f / (exp(2 * val) + 1)));
}

22
ggml/src/vulkan-shaders/fused_mul_relu.comp Normal file
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@@ -0,0 +1,22 @@
#version 450
#include "generic_head.comp"
#include "types.comp"
#extension GL_EXT_control_flow_attributes : enable
layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
layout (binding = 1) readonly buffer Y {B_TYPE data_b[];};
layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
void main() {
const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x;
if (i >= p.KX) {
return;
}
data_d[i] = D_TYPE(float(data_b[i])*max(float(data_a[i]), 0));
}

24
ggml/src/vulkan-shaders/fused_mul_silu.comp Normal file
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@@ -0,0 +1,24 @@
#version 450
#include "generic_head.comp"
#include "types.comp"
#extension GL_EXT_control_flow_attributes : enable
layout(local_size_x = 512, local_size_y = 1, local_size_z = 1) in;
layout (binding = 0) readonly buffer X {A_TYPE data_a[];};
layout (binding = 1) readonly buffer Y {B_TYPE data_b[];};
layout (binding = 2) writeonly buffer D {D_TYPE data_d[];};
void main() {
const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x;
if (i >= p.KX) {
return;
}
const float xi = float(data_a[i]);
const float yi = float(data_b[i]);
data_d[i] = D_TYPE(xi * yi / (1.0f + exp(-xi)));
}

7
ggml/src/vulkan-shaders/vulkan-shaders-gen.cpp
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@@ -572,6 +572,13 @@ void process_shaders() {
string_to_spv("upscale_f32", "upscale.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
string_to_spv("fused_mul_gelu_f16", "fused_mul_gelu.comp", {{"A_TYPE", "float16_t"}, {"B_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
string_to_spv("fused_mul_gelu_f32", "fused_mul_gelu.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
string_to_spv("fused_mul_silu_f16", "fused_mul_silu.comp", {{"A_TYPE", "float16_t"}, {"B_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
string_to_spv("fused_mul_silu_f32", "fused_mul_silu.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
string_to_spv("fused_mul_relu_f16", "fused_mul_relu.comp", {{"A_TYPE", "float16_t"}, {"B_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
string_to_spv("fused_mul_relu_f32", "fused_mul_relu.comp", {{"A_TYPE", "float"}, {"B_TYPE", "float"}, {"D_TYPE", "float"}});
string_to_spv("gelu_f16", "gelu.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
string_to_spv("gelu_f32", "gelu.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
string_to_spv("gelu_quick_f16", "gelu_quick.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});