// [src/dst 0=fp32,1=fp16]
vk_pipeline pipeline_gelu[2];
+ vk_pipeline pipeline_gelu_erf[2];
vk_pipeline pipeline_gelu_quick[2];
vk_pipeline pipeline_silu[2];
vk_pipeline pipeline_relu[2];
ggml_vk_create_pipeline(device, device->pipeline_ ## name [1], #name "_f16", name ## _f16_len, name ## _f16_data, "main", 2, sizeof(vk_op_push_constants), {512, 1, 1}, {}, 1);
CREATE_UNARY(gelu)
+ CREATE_UNARY(gelu_erf)
CREATE_UNARY(gelu_quick)
CREATE_UNARY(silu)
CREATE_UNARY(relu)
return ctx->device->pipeline_silu[dst->type == GGML_TYPE_F16];
case GGML_UNARY_OP_GELU:
return ctx->device->pipeline_gelu[dst->type == GGML_TYPE_F16];
+ case GGML_UNARY_OP_GELU_ERF:
+ return ctx->device->pipeline_gelu_erf[dst->type == GGML_TYPE_F16];
case GGML_UNARY_OP_GELU_QUICK:
return ctx->device->pipeline_gelu_quick[dst->type == GGML_TYPE_F16];
case GGML_UNARY_OP_RELU:
switch (ggml_get_unary_op(node)) {
case GGML_UNARY_OP_SILU:
case GGML_UNARY_OP_GELU:
+ case GGML_UNARY_OP_GELU_ERF:
case GGML_UNARY_OP_GELU_QUICK:
case GGML_UNARY_OP_RELU:
case GGML_UNARY_OP_TANH:
switch (ggml_get_unary_op(node)) {
case GGML_UNARY_OP_SILU:
case GGML_UNARY_OP_GELU:
+ case GGML_UNARY_OP_GELU_ERF:
case GGML_UNARY_OP_GELU_QUICK:
case GGML_UNARY_OP_RELU:
case GGML_UNARY_OP_TANH:
switch (ggml_get_unary_op(tensor)) {
case GGML_UNARY_OP_SILU:
case GGML_UNARY_OP_GELU:
+ case GGML_UNARY_OP_GELU_ERF:
case GGML_UNARY_OP_GELU_QUICK:
case GGML_UNARY_OP_RELU:
case GGML_UNARY_OP_TANH:
case GGML_OP_UNARY:
switch (ggml_get_unary_op(op)) {
case GGML_UNARY_OP_GELU:
+ case GGML_UNARY_OP_GELU_ERF:
case GGML_UNARY_OP_GELU_QUICK:
case GGML_UNARY_OP_SILU:
case GGML_UNARY_OP_RELU:
case GGML_UNARY_OP_GELU:
tensor_clone = ggml_gelu(ggml_ctx, src_clone[0]);
break;
+ case GGML_UNARY_OP_GELU_ERF:
+ tensor_clone = ggml_gelu_erf(ggml_ctx, src_clone[0]);
+ break;
case GGML_UNARY_OP_GELU_QUICK:
tensor_clone = ggml_gelu_quick(ggml_ctx, src_clone[0]);
break;
--- /dev/null
+#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) writeonly buffer D {D_TYPE data_d[];};
+
+void main() {
+ // based on Abramowitz and Stegun formula 7.1.26 or similar Hastings' approximation
+ // ref: https://www.johndcook.com/blog/python_erf/
+ const float p_erf = 0.3275911f;
+ const float a1_erf = 0.254829592f;
+ const float a2_erf = -0.284496736f;
+ const float a3_erf = 1.421413741f;
+ const float a4_erf = -1.453152027f;
+ const float a5_erf = 1.061405429f;
+
+ const float SQRT_2_INV = 0.70710678118654752440084436210484f;
+ const uint i = gl_GlobalInvocationID.z * 262144 + gl_GlobalInvocationID.y * 512 + gl_GlobalInvocationID.x;
+
+ if (i >= p.KX) {
+ return;
+ }
+
+ const float a = float(data_a[i]);
+ const float a_div_sqr2 = a * SQRT_2_INV;
+ const float sign_x = sign(a_div_sqr2);
+ const float x = abs(a_div_sqr2);
+ const float t = 1.0f / (1.0f + p_erf * x);
+ const float y = 1.0f - (((((a5_erf * t + a4_erf) * t) + a3_erf) * t + a2_erf) * t + a1_erf) * t * exp(-x * x);
+ const float erf_approx = sign_x * y;
+
+ data_d[i] = D_TYPE(0.5f * a * (1.0f + erf_approx));
+}
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_erf_f16", "gelu_erf.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
+ string_to_spv("gelu_erf_f32", "gelu_erf.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
string_to_spv("gelu_quick_f16", "gelu_quick.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});
string_to_spv("gelu_quick_f32", "gelu_quick.comp", {{"A_TYPE", "float"}, {"D_TYPE", "float"}});
string_to_spv("silu_f16", "silu.comp", {{"A_TYPE", "float16_t"}, {"D_TYPE", "float16_t"}});