kompute : improve backend to pass test_backend_ops (#10542)

* kompute: op_unary: reject unsupported parameters

Signed-off-by: Sergio Lopez <slp@redhat.com>

* kompute: softmax: implement ALiBi support

Signed-off-by: Sergio Lopez <slp@redhat.com>

* kompute: rope: implement neox and phi3 support

Signed-off-by: Sergio Lopez <slp@redhat.com>

* kompute: op_mul_mat_q4_k permutted support

Signed-off-by: Sergio Lopez <slp@redhat.com>

* kompute: op_mul_mat_[q4_0|q4_1|q8_0] permutted support

Signed-off-by: Sergio Lopez <slp@redhat.com>

* kompute: op_mul_mat_f16 permutted support

Signed-off-by: Sergio Lopez <slp@redhat.com>

* kompute: op_mul_mat_q6_k permutted support

Signed-off-by: Sergio Lopez <slp@redhat.com>

---------

Signed-off-by: Sergio Lopez <slp@redhat.com>
This commit is contained in:
Sergio López
2024-11-28 12:51:38 +01:00
committed by GitHub
parent c6bc73951e
commit 2025fa67e9
16 changed files with 403 additions and 233 deletions

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@@ -3,6 +3,7 @@
#extension GL_EXT_shader_explicit_arithmetic_types_float16: require
#extension GL_EXT_shader_explicit_arithmetic_types_int8: require
#extension GL_EXT_shader_explicit_arithmetic_types_int16: require
#extension GL_EXT_shader_explicit_arithmetic_types_int64: require
#extension GL_EXT_control_flow_attributes: enable
#extension GL_KHR_shader_subgroup_arithmetic : require
#extension GL_EXT_debug_printf : enable

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@@ -20,12 +20,14 @@ layout (push_constant) uniform parameter {
uint nb00;
uint nb01;
uint nb02;
uint nb03;
int ne10;
int ne11;
int ne12;
uint nb10;
uint nb11;
uint nb12;
uint nb13;
int ne0;
int ne1;
uint r2;
@@ -42,7 +44,7 @@ void main() {
const uint i12 = im%pcs.ne12;
const uint i13 = im/pcs.ne12;
const uint offset0 = r0*pcs.nb01 + (i12/pcs.r2)*pcs.nb02 + (i13/pcs.r3)*pcs.nb02*pcs.ne02;
const uint offset0 = r0*pcs.nb01 + (i12/pcs.r2)*pcs.nb02 + (i13/pcs.r3)*pcs.nb03;
const uint x = offset0 / 2 + pcs.inAOff; // Based from inA
@@ -52,7 +54,7 @@ void main() {
break;
}
const uint y = (r1*pcs.nb11 + im*pcs.nb12) / 4 + pcs.inBOff; // Based from inB
const uint y = (r1*pcs.nb11 + i12*pcs.nb12 + i13*pcs.nb13) / 4 + pcs.inBOff;
float sumf = 0;
for (uint i = gl_SubgroupInvocationID.x; i < pcs.ne00; i += gl_SubgroupSize) {

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@@ -24,8 +24,14 @@ layout (push_constant) uniform parameter {
int ne01;
int ne02;
int ne12;
int r2;
int r3;
uint nb01;
uint nb02;
uint nb03;
uint nb11;
uint nb12;
uint nb13;
uint r2;
uint r3;
} pcs;
void main() {
@@ -50,10 +56,11 @@ void main() {
const uint i12 = im%pcs.ne12;
const uint i13 = im/pcs.ne12;
const uint offset0 = (i12/pcs.r2)*(nb*pcs.ne01) + (i13/pcs.r3)*(nb*pcs.ne01*pcs.ne02);
const uint offset0 = first_row*(pcs.nb01/SIZE_OF_BLOCK) + (i12/pcs.r2)*(pcs.nb02/SIZE_OF_BLOCK) + (i13/pcs.r3)*(pcs.nb03/SIZE_OF_BLOCK);
const uint offset1 = r1*pcs.nb11 + (i12 )*pcs.nb12 + (i13 )*pcs.nb13;
const uint xblk = ib_row + offset0 + pcs.inAOff;
const uint y = r1*pcs.ne10 + im*pcs.ne00*pcs.ne1 + pcs.inBOff;
const uint xblk = offset0 + pcs.inAOff;
const uint y = (offset1 / 4) + pcs.inBOff;
float yl[16];
float yh[16];
@@ -74,7 +81,7 @@ void main() {
}
for (int row = 0; row < N_DST; row++) {
uint row_idx = row * nb;
uint row_idx = row * (pcs.nb01 / SIZE_OF_BLOCK);
uint16_t sc_0 = u8BufToU16(inA[blk_idx + row_idx].scales, iq * 2 + 0);
uint16_t sc_1 = u8BufToU16(inA[blk_idx + row_idx].scales, iq * 2 + 2);

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@@ -21,7 +21,16 @@ layout (push_constant) uniform parameter {
int ne0;
int ne1;
int ne01;
int gqa;
int ne02;
int ne12;
uint nb01;
uint nb02;
uint nb03;
uint nb11;
uint nb12;
uint nb13;
uint r2;
uint r3;
} pcs;
void main() {
@@ -34,12 +43,15 @@ void main() {
const uint r0 = gl_WorkGroupID.x;
const uint r1 = gl_WorkGroupID.y;
const uint r2 = gl_WorkGroupID.z;
const uint im = gl_WorkGroupID.z;
const uint row = (r0 * gl_NumSubgroups + gl_SubgroupID);
const uint offset0 = r2/pcs.gqa*(nb*pcs.ne0);
const uint x = row * nb + offset0; // Based from inA without base offset
const uint yy = r1*pcs.ne10 + r2*pcs.ne00*pcs.ne1+pcs.inBOff; // Based from inB
const uint i12 = im%pcs.ne12;
const uint i13 = im/pcs.ne12;
const uint x = row*(pcs.nb01/SIZE_OF_BLOCK) + (i12/pcs.r2)*(pcs.nb02/SIZE_OF_BLOCK) + (i13/pcs.r3)*(pcs.nb03/SIZE_OF_BLOCK);
const uint yy = (r1*pcs.nb11 + i12*pcs.nb12 + i13*pcs.nb13) / 4 + pcs.inBOff;
float sumf = 0;
@@ -89,6 +101,6 @@ void main() {
const float tot = subgroupAdd(sumf);
if (subgroupElect()) {
out_[r1*pcs.ne0 + r2*pcs.ne0*pcs.ne1 + row + pcs.outOff] = tot;
out_[r1*pcs.ne0 + im*pcs.ne0*pcs.ne1 + row + pcs.outOff] = tot;
}
}

View File

@@ -14,10 +14,15 @@ void main() {
const uint i12 = im%pcs.ne12;
const uint i13 = im/pcs.ne12;
const uint offset0 = first_row * nb + (i12/pcs.r2)*(nb*pcs.ne01) + (i13/pcs.r3)*(nb*pcs.ne01*pcs.ne02);
// pointers to src0 rows
uint ax[N_ROWS];
for (int row = 0; row < N_ROWS; ++row) {
const uint offset0 = (first_row + row)*(pcs.nb01/SIZE_OF_BLOCK) + (i12/pcs.r2)*(pcs.nb02/SIZE_OF_BLOCK) + (i13/pcs.r3)*(pcs.nb03/SIZE_OF_BLOCK);
const uint x = offset0; // Based from inA without base offset
const uint y = r1*uint(pcs.ne10)+im*pcs.ne00*pcs.ne1+pcs.inBOff; // Based from inB
ax[row] = offset0 + pcs.inAOff;
}
const uint y = (r1*pcs.nb11 + i12*pcs.nb12 + i13*pcs.nb13) / 4 + pcs.inBOff;
float sumf[N_ROWS] = {0.0f, 0.0f, 0.0f, 0.0f};
@@ -32,8 +37,7 @@ void main() {
for (uint ib = ix; ib < nb; ib += 16) {
for (int row = 0; row < N_ROWS; row++) {
const uint block_index = x + ib + row * nb;
sumf[row] += block_q_n_dot_y(block_index, yb, il);
sumf[row] += block_q_n_dot_y(ax[row] + ib, yb, il);
}
yb += BLOCKS_IN_QUANT * 16;

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@@ -1,5 +1,5 @@
layout(local_size_x_id = 0) in;
layout(local_size_y = 1) in;
layout(local_size_y = 8) in;
layout(local_size_z = 1) in;
layout (binding = 0) readonly buffer tensorInA { uint8_t inA[]; };
@@ -17,6 +17,12 @@ layout (push_constant) uniform parameter {
int ne12;
int ne0;
int ne1;
uint nb01;
uint nb02;
uint nb03;
uint nb11;
uint nb12;
uint nb13;
uint r2;
uint r3;
} pcs;

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@@ -1,73 +0,0 @@
#version 450
#include "rope_common.comp"
layout(binding = 0) buffer restrict readonly tensorInA { float16_t inA[]; };
layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; };
layout(binding = 2) buffer restrict writeonly tensorOut { float16_t out_[]; };
void main() {
const uint i3 = gl_WorkGroupID.z;
const uint i2 = gl_WorkGroupID.y;
const uint i1 = gl_WorkGroupID.x;
const bool is_neox = (pcs.mode & GGML_ROPE_TYPE_NEOX) != 0;
float corr_dims[2];
rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
const int p = inB[pcs.inBOff + i2];
float theta = float(p);
if (!is_neox) {
for (uint i0 = 0; i0 < pcs.ne0; i0 += 2) {
float cos_theta, sin_theta;
rope_yarn(theta, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
theta *= theta_scale;
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 2) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 2) + pcs.outOff; // Based from out_
const float x0 = float(inA[src]);
const float x1 = float(inA[src+1]);
out_[dst_data] = float16_t(x0*cos_theta - x1*sin_theta);
out_[dst_data+1] = float16_t(x0*sin_theta + x1*cos_theta);
}
} else {
const float inv_ndims = -1.f/pcs.n_dims;
for (uint ic = 0; ic < pcs.n_dims; ic += 2) {
const uint cur_rot = ic;
float cos_theta, sin_theta;
rope_yarn(theta, pcs.freq_scale, corr_dims, cur_rot, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
theta *= theta_scale;
const uint i0 = ic/2;
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 2) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 2) + pcs.outOff; // Based from out_
const float x0 = float(inA[src]);
const float x1 = float(inA[src+pcs.n_dims/2]);
out_[dst_data] = float16_t(x0*cos_theta - x1*sin_theta);
out_[dst_data+pcs.n_dims/2] = float16_t(x0*sin_theta + x1*cos_theta);
}
for (uint ic = pcs.n_dims; ic < pcs.ne0; ic += 2) {
const uint i0 = ic;
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 2) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 2) + pcs.outOff; // Based from out_
out_[dst_data + 0] = inA[src + 0];
out_[dst_data + 1] = inA[src + 1];
}
}
}

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@@ -1,73 +0,0 @@
#version 450
#include "rope_common.comp"
layout(binding = 0) buffer restrict readonly tensorInA { float inA[]; };
layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; };
layout(binding = 2) buffer restrict writeonly tensorOut { float out_[]; };
void main() {
const uint i3 = gl_WorkGroupID.z;
const uint i2 = gl_WorkGroupID.y;
const uint i1 = gl_WorkGroupID.x;
const bool is_neox = (pcs.mode & GGML_ROPE_TYPE_NEOX) != 0;
float corr_dims[2];
rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
const int p = inB[pcs.inBOff + i2];
float theta = float(p);
if (!is_neox) {
for (uint i0 = 0; i0 < pcs.ne0; i0 += 2) {
float cos_theta, sin_theta;
rope_yarn(theta, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
theta *= theta_scale;
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
const float x0 = inA[src];
const float x1 = inA[src+1];
out_[dst_data] = x0*cos_theta - x1*sin_theta;
out_[dst_data+1] = x0*sin_theta + x1*cos_theta;
}
} else {
const float inv_ndims = -1.f/pcs.n_dims;
for (uint ic = 0; ic < pcs.n_dims; ic += 2) {
const uint cur_rot = ic;
float cos_theta, sin_theta;
rope_yarn(theta, pcs.freq_scale, corr_dims, cur_rot, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
theta *= theta_scale;
const uint i0 = ic/2;
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
const float x0 = inA[src];
const float x1 = inA[src+pcs.n_dims/2];
out_[dst_data] = x0*cos_theta - x1*sin_theta;
out_[dst_data+pcs.n_dims/2] = x0*sin_theta + x1*cos_theta;
}
for (uint ic = pcs.n_dims; ic < pcs.ne0; ic += 2) {
const uint i0 = ic;
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
out_[dst_data + 0] = inA[src + 0];
out_[dst_data + 1] = inA[src + 1];
}
}
}

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@@ -0,0 +1,52 @@
#version 450
#include "rope_common.comp"
layout(binding = 0) buffer restrict readonly tensorInA { float16_t inA[]; };
layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; };
layout(binding = 2) buffer restrict readonly tensorInC { float inC[]; };
layout(binding = 3) buffer restrict writeonly tensorOut { float16_t out_[]; };
void main() {
const uint i3 = gl_WorkGroupID.z;
const uint i2 = gl_WorkGroupID.y;
const uint i1 = gl_WorkGroupID.x;
float corr_dims[2];
rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
float theta_base = float(inB[pcs.inBOff + i2]);
float inv_ndims = -1.f/pcs.n_dims;
float cos_theta;
float sin_theta;
for (uint i0 = 2*gl_LocalInvocationIndex; i0 < pcs.ne0; i0 += 2*gl_WorkGroupSize.x) {
if (i0 < pcs.n_dims) {
uint ic = i0/2;
float theta = theta_base * pow(pcs.freq_base, inv_ndims*i0);
const float freq_factor = pcs.has_freq_factors ? inC[pcs.inCOff + ic] : 1.0f;
rope_yarn(theta/freq_factor, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + ic*pcs.nb00) / 2) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + ic*pcs.nb0) / 2) + pcs.outOff; // Based from out_
const float x0 = float(inA[src]);
const float x1 = float(inA[src+pcs.n_dims/2]);
out_[dst_data] = float16_t(x0*cos_theta - x1*sin_theta);
out_[dst_data+pcs.n_dims/2] = float16_t(x0*sin_theta + x1*cos_theta);
} else {
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 2) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 2) + pcs.outOff; // Based from out_
out_[dst_data] = inA[src];
out_[dst_data+1] = inA[src+1];
}
}
}

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@@ -0,0 +1,52 @@
#version 450
#include "rope_common.comp"
layout(binding = 0) buffer restrict readonly tensorInA { float inA[]; };
layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; };
layout(binding = 2) buffer restrict readonly tensorInC { float inC[]; };
layout(binding = 3) buffer restrict writeonly tensorOut { float out_[]; };
void main() {
const uint i3 = gl_WorkGroupID.z;
const uint i2 = gl_WorkGroupID.y;
const uint i1 = gl_WorkGroupID.x;
float corr_dims[2];
rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
float theta_base = float(inB[pcs.inBOff + i2]);
float inv_ndims = -1.f/pcs.n_dims;
float cos_theta;
float sin_theta;
for (uint i0 = 2*gl_LocalInvocationIndex; i0 < pcs.ne0; i0 += 2*gl_WorkGroupSize.x) {
if (i0 < pcs.n_dims) {
uint ic = i0/2;
float theta = theta_base * pow(pcs.freq_base, inv_ndims*i0);
const float freq_factor = pcs.has_freq_factors ? inC[pcs.inCOff + ic] : 1.0f;
rope_yarn(theta/freq_factor, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + ic*pcs.nb00) / 4) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + ic*pcs.nb0) / 4) + pcs.outOff; // Based from out_
const float x0 = inA[src];
const float x1 = inA[src+pcs.n_dims/2];
out_[dst_data] = x0*cos_theta - x1*sin_theta;
out_[dst_data+pcs.n_dims/2] = x0*sin_theta + x1*cos_theta;
} else {
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
out_[dst_data] = inA[src];
out_[dst_data+1] = inA[src+1];
}
}
}

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@@ -0,0 +1,52 @@
#version 450
#include "rope_common.comp"
layout(binding = 0) buffer restrict readonly tensorInA { float16_t inA[]; };
layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; };
layout(binding = 2) buffer restrict readonly tensorInC { float inC[]; };
layout(binding = 3) buffer restrict writeonly tensorOut { float16_t out_[]; };
void main() {
const uint i3 = gl_WorkGroupID.z;
const uint i2 = gl_WorkGroupID.y;
const uint i1 = gl_WorkGroupID.x;
float corr_dims[2];
rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
float theta_base = float(inB[pcs.inBOff + i2]);
float inv_ndims = -1.f/pcs.n_dims;
float cos_theta;
float sin_theta;
for (uint i0 = 2*gl_LocalInvocationIndex; i0 < pcs.ne0; i0 += 2*gl_WorkGroupSize.x) {
if (i0 < pcs.n_dims) {
uint ic = i0/2;
float theta = theta_base * pow(pcs.freq_base, inv_ndims*i0);
const float freq_factor = pcs.has_freq_factors ? inC[pcs.inCOff + ic] : 1.0f;
rope_yarn(theta/freq_factor, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 2) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 2) + pcs.outOff; // Based from out_
const float x0 = float(inA[src]);
const float x1 = float(inA[src+1]);
out_[dst_data] = float16_t(x0*cos_theta - x1*sin_theta);
out_[dst_data+1] = float16_t(x0*sin_theta + x1*cos_theta);
} else {
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 2) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 2) + pcs.outOff; // Based from out_
out_[dst_data] = inA[src];
out_[dst_data+1] = inA[src+1];
}
}
}

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@@ -0,0 +1,52 @@
#version 450
#include "rope_common.comp"
layout(binding = 0) buffer restrict readonly tensorInA { float inA[]; };
layout(binding = 1) buffer restrict readonly tensorInB { int inB[]; };
layout(binding = 2) buffer restrict readonly tensorInC { float inC[]; };
layout(binding = 3) buffer restrict writeonly tensorOut { float out_[]; };
void main() {
const uint i3 = gl_WorkGroupID.z;
const uint i2 = gl_WorkGroupID.y;
const uint i1 = gl_WorkGroupID.x;
float corr_dims[2];
rope_yarn_corr_dims(pcs.n_dims, pcs.n_ctx_orig, pcs.freq_base, pcs.beta_fast, pcs.beta_slow, corr_dims);
const float theta_scale = pow(pcs.freq_base, -2.0/pcs.n_dims);
float theta_base = float(inB[pcs.inBOff + i2]);
float inv_ndims = -1.f/pcs.n_dims;
float cos_theta;
float sin_theta;
for (uint i0 = 2*gl_LocalInvocationIndex; i0 < pcs.ne0; i0 += 2*gl_WorkGroupSize.x) {
if (i0 < pcs.n_dims) {
uint ic = i0/2;
float theta = theta_base * pow(pcs.freq_base, inv_ndims*i0);
const float freq_factor = pcs.has_freq_factors ? inC[pcs.inCOff + ic] : 1.0f;
rope_yarn(theta/freq_factor, pcs.freq_scale, corr_dims, i0, pcs.ext_factor, pcs.attn_factor, cos_theta, sin_theta);
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
const float x0 = inA[src];
const float x1 = inA[src+1];
out_[dst_data] = x0*cos_theta - x1*sin_theta;
out_[dst_data+1] = x0*sin_theta + x1*cos_theta;
} else {
const uint src = uint((i3*pcs.nb03 + i2*pcs.nb02 + i1*pcs.nb01 + i0*pcs.nb00) / 4) + pcs.inAOff; // Based from in
const uint dst_data = uint((i3*pcs.nb3 + i2*pcs.nb2 + i1*pcs.nb1 + i0*pcs.nb0) / 4) + pcs.outOff; // Based from out_
out_[dst_data] = inA[src];
out_[dst_data+1] = inA[src+1];
}
}
}

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@@ -18,6 +18,10 @@ layout(push_constant) uniform PushConstants {
int ne01;
int ne02;
float scale;
float max_bias;
float m0;
float m1;
uint n_head_log2;
int mask;
} pcs;
@@ -34,17 +38,29 @@ void main() {
const uint pmask = i01*pcs.ne00 + pcs.inBOff; // Based from inB
const uint pdst = extra_off + pcs.outOff; // Based from out_
float slope = 1.0f;
// ALiBi
if (pcs.max_bias > 0.0f) {
int64_t h = i02;
float base = h < pcs.n_head_log2 ? pcs.m0 : pcs.m1;
int64_t exp = h < pcs.n_head_log2 ? h + 1 : 2*(h - pcs.n_head_log2) + 1;
slope = pow(base, float(exp));
}
// parallel max
float localMax = uintBitsToFloat(0xFF800000);
for (uint i00 = gl_SubgroupInvocationID.x; i00 < pcs.ne00; i00 += 32) {
localMax = max(localMax, inA[psrc0 + i00]*pcs.scale + (pcs.mask!=0 ? inB[pmask + i00] : 0.0f));
localMax = max(localMax, inA[psrc0 + i00]*pcs.scale + (pcs.mask!=0 ? slope*inB[pmask + i00] : 0.0f));
}
float max_ = subgroupMax(localMax);
// parallel sum
float localSum = 0.0f;
for (uint i00 = gl_SubgroupInvocationID.x; i00 < pcs.ne00; i00 += 32) {
const float exp_psrc0 = exp(inA[psrc0 + i00]*pcs.scale + (pcs.mask!=0 ? inB[pmask + i00] : 0.0f) - max_);
const float exp_psrc0 = exp(inA[psrc0 + i00]*pcs.scale + (pcs.mask!=0 ? slope*inB[pmask + i00] : 0.0f) - max_);
localSum += exp_psrc0;
out_[pdst + i00] = exp_psrc0;
}

View File

@@ -8,12 +8,14 @@ layout(local_size_x = 1) in;
layout (push_constant) uniform parameter {
uint inAOff;
uint inBOff;
uint inCOff;
uint outOff;
int n_dims;
int mode;
int n_ctx_orig;
float freq_base;
float freq_scale;
bool has_freq_factors;
float ext_factor;
float attn_factor;
float beta_fast;