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-rw-r--r--ggml_vk_generate_shaders.py531
1 files changed, 220 insertions, 311 deletions
diff --git a/ggml_vk_generate_shaders.py b/ggml_vk_generate_shaders.py
index 7c85ca7b..a905f570 100644
--- a/ggml_vk_generate_shaders.py
+++ b/ggml_vk_generate_shaders.py
@@ -225,10 +225,7 @@ mulmat_head = """#version 450
#extension GL_EXT_shader_16bit_storage : require
#ifdef MUL_MAT_ID
-#extension GL_EXT_buffer_reference2 : require
-#extension GL_EXT_nonuniform_qualifier : require
-#extension GL_EXT_scalar_block_layout : require
-#extension GL_EXT_shader_explicit_arithmetic_types_int8 : require
+#extension GL_EXT_shader_explicit_arithmetic_types_int16 : require
#define EXPERT_COUNT 8
#endif
@@ -260,30 +257,22 @@ layout (push_constant) uniform parameter
uint stride_a;
uint stride_b;
uint stride_d;
- uint k_split;
-
- uint ne02;
- uint ne12;
- uint broadcast2;
- uint broadcast3;
uint batch_stride_a;
uint batch_stride_b;
uint batch_stride_d;
#ifdef MUL_MAT_ID
- uint expert_stride_a;
- uint expert_stride_b0;
- uint expert_stride_b1;
- uint expert_stride_d;
-
- uint ids_stride;
-
- uint n_as;
uint nei0;
uint nei1;
uint nbi1;
uint ne11;
+#else
+ uint k_split;
+ uint ne02;
+ uint ne12;
+ uint broadcast2;
+ uint broadcast3;
#endif
} p;
@@ -301,16 +290,14 @@ shared FLOAT_TYPE buf_a[BM * (BK+1)];
shared FLOAT_TYPE buf_b[BN * (BK+1)];
#ifdef MUL_MAT_ID
-shared u8vec2 rowids[2048];
+shared u16vec2 row_ids[2048];
#endif
void main() {
#ifdef MUL_MAT_ID
- const uint batch_idx = gl_GlobalInvocationID.z / p.n_as;
- const uint expert_idx = gl_GlobalInvocationID.z % p.n_as;
+ const uint expert_idx = gl_GlobalInvocationID.z;
#else
const uint batch_idx = gl_GlobalInvocationID.z;
-#endif
const uint i13 = batch_idx / p.ne12;
const uint i12 = batch_idx % p.ne12;
@@ -319,6 +306,7 @@ void main() {
const uint i02 = i12 / p.broadcast2;
const uint batch_idx_a = i03 * p.ne02 + i02;
+#endif
const uint blocks_m = (p.M + BM - 1) / BM;
const uint ir = gl_WorkGroupID.x % blocks_m;
@@ -350,30 +338,38 @@ void main() {
for (uint ii1 = 0; ii1 < p.nei1; ii1++) {
for (uint ii0 = 0; ii0 < p.nei0; ii0++) {
if (data_ids[ii1*p.nbi1 + ii0] == expert_idx) {
- rowids[_ne1] = u8vec2(ii0, ii1);
+ row_ids[_ne1] = u16vec2(ii0, ii1);
_ne1++;
}
}
}
- const u8vec2 id = rowids[ir * BN + ic];
+ barrier();
+
+ // Workgroup has no work
+ if (ic * BN >= _ne1) return;
#endif
+#ifdef MUL_MAT_ID
+ const uint start_k = 0;
+ const uint end_k = p.K;
+#else
const uint start_k = ik * p.k_split;
const uint end_k = min(p.K, (ik + 1) * p.k_split);
+#endif
uint pos_a = (
#ifdef MUL_MAT_ID
- expert_idx * p.expert_stride_a +
+ expert_idx * p.batch_stride_a +
+#else
+ batch_idx_a * p.batch_stride_a +
#endif
- batch_idx_a * p.batch_stride_a + ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
- uint pos_b = (
+ ir * BM * p.stride_a + start_k) / LOAD_VEC_A;
#ifdef MUL_MAT_ID
- id.y * p.expert_stride_b1 +
- (id.x % p.ne11) * p.expert_stride_b0 +
+ uint pos_b = 0;
+#else
+ uint pos_b = (batch_idx * p.batch_stride_b + ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
#endif
- batch_idx * p.batch_stride_b +
- ic * BN * p.stride_b + start_k) / LOAD_VEC_B;
float sums[WMITER * TM * WNITER * TN];
FLOAT_TYPE cache_a[WMITER * TM];
@@ -620,7 +616,12 @@ mulmat_body2 = """
}
[[unroll]] for (uint l = 0; l < BN; l += loadstride_b) {
#if LOAD_VEC_B == 8
+#ifdef MUL_MAT_ID
+ const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+ const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx][0].x);
buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx][0].y);
@@ -631,18 +632,31 @@ mulmat_body2 = """
buf_b[buf_idx + 6] = FLOAT_TYPE(data_b[idx][1].z);
buf_b[buf_idx + 7] = FLOAT_TYPE(data_b[idx][1].w);
#elif LOAD_VEC_B == 4
+#ifdef MUL_MAT_ID
+ const u16vec2 row_idx = row_ids[ic * BN + loadc_b + l];
+ const uint idx = pos_b + row_idx.y * p.batch_stride_b / LOAD_VEC_B + (row_idx.x % p.ne11) * p.stride_b / LOAD_VEC_B + loadr_b;
+#else
const uint idx = pos_b + (loadc_b + l) * p.stride_b / LOAD_VEC_B + loadr_b;
+#endif
const uint buf_idx = (loadc_b + l) * (BK+1) + loadr_b * LOAD_VEC_B;
buf_b[buf_idx + 0] = FLOAT_TYPE(data_b[idx].x);
buf_b[buf_idx + 1] = FLOAT_TYPE(data_b[idx].y);
buf_b[buf_idx + 2] = FLOAT_TYPE(data_b[idx].z);
buf_b[buf_idx + 3] = FLOAT_TYPE(data_b[idx].w);
-#else
+#elif !MUL_MAT_ID
if (ic * BN + loadc_b + l < p.N && block + loadr_b < end_k) {
buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + (loadc_b + l) * p.stride_b + loadr_b]);
} else {
buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
}
+#else
+ const uint row_i = ic * BN + loadc_b + l;
+ if (row_i < _ne1) {
+ const u16vec2 row_idx = row_ids[row_i];
+ buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(data_b[pos_b + row_idx.y * p.batch_stride_b + (row_idx.x % p.ne11) * p.stride_b + loadr_b]);
+ } else {
+ buf_b[(loadc_b + l) * (BK+1) + loadr_b] = FLOAT_TYPE(0.0f);
+ }
#endif
}
@@ -681,11 +695,9 @@ mulmat_body2 = """
const uint dr = ir * BM + warp_r * WM;
const uint dc = ic * BN + warp_c * WN;
- const uint offsets =
-#ifdef MUL_MAT_ID
- expert_idx * p.expert_stride_d +
+#ifndef MUL_MAT_ID
+ const uint offsets = batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
#endif
- batch_idx * p.batch_stride_d + ik * p.batch_stride_d * gl_NumWorkGroups.z;
[[unroll]] for (uint wsic = 0; wsic < WNITER; wsic++) {
[[unroll]] for (uint wsir = 0; wsir < WMITER; wsir++) {
@@ -693,10 +705,20 @@ mulmat_body2 = """
const uint dr_warp = dr + wsir * WSUBM + tiwr * TM;
const uint dc_warp = dc + wsic * WSUBN + tiwc * TN;
[[unroll]] for (uint cc = 0; cc < TN; cc++) {
+#ifdef MUL_MAT_ID
+ const uint row_i = dc_warp + cc;
+ if (row_i >= _ne1) break;
+
+ const u16vec2 row_idx = row_ids[row_i];
+#endif
[[unroll]] for (uint cr = 0; cr < TM; cr++) {
+#ifdef MUL_MAT_ID
+ data_d[row_idx.y * p.batch_stride_d + row_idx.x * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
+#else
if (dr_warp + cr < p.M && dc_warp + cc < p.N) {
data_d[offsets + (dc_warp + cc) * p.stride_d + dr_warp + cr] = D_TYPE(sums[(wsic * TN + cc) * (WMITER * TM) + wsir * TM + cr]);
}
+#endif
}
}
}
@@ -1172,46 +1194,29 @@ layout (push_constant) uniform parameter
uint stride_b;
uint stride_d;
- uint ne02;
- uint ne12;
- uint broadcast2;
- uint broadcast3;
-
uint batch_stride_a;
uint batch_stride_b;
uint batch_stride_d;
#ifdef MUL_MAT_ID
- uint expert_stride_a;
- uint expert_stride_b0;
- uint expert_stride_b1;
- uint expert_stride_d0;
- uint expert_stride_d1;
-
- uint ne11;
uint nei0;
- uint nbi1;
- uint n_as;
+ uint ne11;
+#else
+ uint ne02;
+ uint ne12;
+ uint broadcast2;
+ uint broadcast3;
#endif
} p;
-"""
-mul_mat_vec_body = """
-layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
-
-layout (constant_id = 0) const uint BLOCK_SIZE = 32;
-
-shared FLOAT_TYPE tmp[BLOCK_SIZE];
-
-void main() {
- const uint row = gl_WorkGroupID.x;
- const uint tid = gl_LocalInvocationID.x;
- const uint batch_idx = gl_GlobalInvocationID.y;
+void get_offsets(out uint a_offset, out uint b_offset, out uint d_offset) {
#ifdef MUL_MAT_ID
- const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
- const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
+ const uint expert_idx = gl_GlobalInvocationID.y;
+#else
+ const uint batch_idx = gl_GlobalInvocationID.y;
#endif
+#ifndef MUL_MAT_ID
const uint i13 = batch_idx / p.ne12;
const uint i12 = batch_idx % p.ne12;
@@ -1219,28 +1224,44 @@ void main() {
const uint i02 = i12 / p.broadcast2;
const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
- const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
+#else
+ const uint expert_id = data_ids[expert_idx];
#endif
- const uint a_offset =
+ a_offset =
#ifdef MUL_MAT_ID
- expert_id * p.expert_stride_a +
-#endif
+ expert_id * p.batch_stride_a;
+#else
batch_idx_a * p.batch_stride_a;
- const uint b_offset =
-#ifdef MUL_MAT_ID
- (expert_idx0 % p.ne11) * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
#endif
- batch_idx * p.batch_stride_b;
- const uint d_offset =
+ b_offset =
#ifdef MUL_MAT_ID
- expert_idx0 * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
+ (expert_idx % p.ne11) * p.stride_b;
+#else
+ batch_idx * p.batch_stride_b;
#endif
+ d_offset =
+#ifdef MUL_MAT_ID
+ expert_idx * p.stride_d;
+#else
batch_idx * p.batch_stride_d;
+#endif
+}
+"""
+
+mul_mat_vec_body = """
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout (constant_id = 0) const uint BLOCK_SIZE = 32;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+ const uint row = gl_WorkGroupID.x;
+ const uint tid = gl_LocalInvocationID.x;
+
+ uint a_offset, b_offset, d_offset;
+ get_offsets(a_offset, b_offset, d_offset);
const uint y_offset = QUANT_R == 1 ? 1 : QUANT_K/2;
@@ -1281,41 +1302,9 @@ shared FLOAT_TYPE tmp[32];
void main() {
const uint row = gl_WorkGroupID.x;
- const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
- const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
- const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
-
- const uint i13 = batch_idx / p.ne12;
- const uint i12 = batch_idx % p.ne12;
-
- const uint i03 = i13 / p.broadcast3;
- const uint i02 = i12 / p.broadcast2;
-
- const uint batch_idx_a = i03 * p.ne02 + i02;
-#ifdef MUL_MAT_ID
- const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
- const uint a_offset =
-#ifdef MUL_MAT_ID
- expert_id * p.expert_stride_a +
-#endif
- batch_idx_a * p.batch_stride_a;
- const uint b_offset =
-#ifdef MUL_MAT_ID
- (expert_idx0 % p.ne11) * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_b;
- const uint d_offset =
-#ifdef MUL_MAT_ID
- expert_idx0 * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_d;
+ uint a_offset, b_offset, d_offset;
+ get_offsets(a_offset, b_offset, d_offset);
const uint num_blocks_per_row = p.ncols / QUANT_K;
const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1384,41 +1373,9 @@ shared FLOAT_TYPE tmp[32];
void main() {
const uint row = gl_WorkGroupID.x;
- const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
- const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
- const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
- const uint i13 = batch_idx / p.ne12;
- const uint i12 = batch_idx % p.ne12;
-
- const uint i03 = i13 / p.broadcast3;
- const uint i02 = i12 / p.broadcast2;
-
- const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
- const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
- const uint a_offset =
-#ifdef MUL_MAT_ID
- expert_id * p.expert_stride_a +
-#endif
- batch_idx_a * p.batch_stride_a;
- const uint b_offset =
-#ifdef MUL_MAT_ID
- (expert_idx0 % p.ne11) * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_b;
- const uint d_offset =
-#ifdef MUL_MAT_ID
- expert_idx0 * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_d;
+ uint a_offset, b_offset, d_offset;
+ get_offsets(a_offset, b_offset, d_offset);
const uint num_blocks_per_row = p.ncols / QUANT_K;
const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1480,41 +1437,9 @@ shared FLOAT_TYPE tmp[32];
void main() {
const uint row = gl_WorkGroupID.x;
- const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
- const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
- const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
-
- const uint i13 = batch_idx / p.ne12;
- const uint i12 = batch_idx % p.ne12;
- const uint i03 = i13 / p.broadcast3;
- const uint i02 = i12 / p.broadcast2;
-
- const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
- const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
- const uint a_offset =
-#ifdef MUL_MAT_ID
- expert_id * p.expert_stride_a +
-#endif
- batch_idx_a * p.batch_stride_a;
- const uint b_offset =
-#ifdef MUL_MAT_ID
- (expert_idx0 % p.ne11) * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_b;
- const uint d_offset =
-#ifdef MUL_MAT_ID
- expert_idx0 * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_d;
+ uint a_offset, b_offset, d_offset;
+ get_offsets(a_offset, b_offset, d_offset);
const uint num_blocks_per_row = p.ncols / QUANT_K;
const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1625,41 +1550,9 @@ shared FLOAT_TYPE tmp[32];
void main() {
const uint row = gl_WorkGroupID.x;
- const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
- const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
- const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
-
- const uint i13 = batch_idx / p.ne12;
- const uint i12 = batch_idx % p.ne12;
-
- const uint i03 = i13 / p.broadcast3;
- const uint i02 = i12 / p.broadcast2;
- const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
- const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
- const uint a_offset =
-#ifdef MUL_MAT_ID
- expert_id * p.expert_stride_a +
-#endif
- batch_idx_a * p.batch_stride_a;
- const uint b_offset =
-#ifdef MUL_MAT_ID
- (expert_idx0 % p.ne11) * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_b;
- const uint d_offset =
-#ifdef MUL_MAT_ID
- expert_idx0 * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_d;
+ uint a_offset, b_offset, d_offset;
+ get_offsets(a_offset, b_offset, d_offset);
const uint num_blocks_per_row = p.ncols / QUANT_K;
const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -1766,41 +1659,9 @@ shared FLOAT_TYPE tmp[32];
void main() {
const uint row = gl_WorkGroupID.x;
- const uint batch_idx = gl_GlobalInvocationID.y;
-#ifdef MUL_MAT_ID
- const uint expert_idx1 = gl_GlobalInvocationID.z / p.nei0;
- const uint expert_idx0 = gl_GlobalInvocationID.z % p.nei0;
-#endif
- const uint i13 = batch_idx / p.ne12;
- const uint i12 = batch_idx % p.ne12;
-
- const uint i03 = i13 / p.broadcast3;
- const uint i02 = i12 / p.broadcast2;
-
- const uint batch_idx_a = i03 * p.ne02 + i02;
-
-#ifdef MUL_MAT_ID
- const uint expert_id = data_ids[expert_idx1 * p.nbi1 + expert_idx0];
-#endif
-
- const uint a_offset =
-#ifdef MUL_MAT_ID
- expert_id * p.expert_stride_a +
-#endif
- batch_idx_a * p.batch_stride_a;
- const uint b_offset =
-#ifdef MUL_MAT_ID
- (expert_idx0 % p.ne11) * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_b;
- const uint d_offset =
-#ifdef MUL_MAT_ID
- expert_idx0 * p.expert_stride_b0 +
- expert_idx1 * p.expert_stride_b1 +
-#endif
- batch_idx * p.batch_stride_d;
+ uint a_offset, b_offset, d_offset;
+ get_offsets(a_offset, b_offset, d_offset);
const uint num_blocks_per_row = p.ncols / QUANT_K;
const uint ib0 = a_offset / QUANT_K + row*num_blocks_per_row;
@@ -2143,12 +2004,18 @@ void main() {
generic_binary_op_combined = f"{generic_binary_op_head}\n{generic_binary_op_layout}\n{generic_binary_op_funcs}\n{generic_binary_op_main}"
-# MUL F32
+# MUL
mul_body = """
data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) * FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
}
"""
+# DIV
+div_body = """
+ data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) / FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
+}
+"""
+
# ADD
add_body = """
data_d[p.d_offset + dst_idx(gl_GlobalInvocationID.x)] = D_TYPE(FLOAT_TYPE(data_a[src0_idx(gl_GlobalInvocationID.x)]) + FLOAT_TYPE(data_b[src1_idx(gl_GlobalInvocationID.x)]));
@@ -2759,6 +2626,41 @@ void main() {
}
"""
+sum_rows_src = """
+#extension GL_EXT_control_flow_attributes : enable
+layout(local_size_x_id = 0, local_size_y = 1, local_size_z = 1) in;
+
+layout (binding = 0) readonly buffer A {A_TYPE data_a[];};
+layout (binding = 1) writeonly buffer D {D_TYPE data_d[];};
+
+layout (constant_id = 0) const uint BLOCK_SIZE = 32;
+
+shared FLOAT_TYPE tmp[BLOCK_SIZE];
+
+void main() {
+ const uint row = gl_WorkGroupID.x;
+ const uint col = gl_LocalInvocationID.x;
+
+ tmp[col] = FLOAT_TYPE(0.0f);
+
+ for (uint i = col; i < p.KX; i += BLOCK_SIZE) {
+ tmp[col] += FLOAT_TYPE(data_a[row*p.KX + i]);
+ }
+
+ barrier();
+ [[unroll]] for (int s = int(BLOCK_SIZE) / 2; s > 0; s >>= 1) {
+ if (col < s) {
+ tmp[col] += tmp[col + s];
+ }
+ barrier();
+ }
+
+ if (col == 0) {
+ data_d[row] = D_TYPE(tmp[0]);
+ }
+}
+"""
+
GLSLC = "glslc"
VK_NUM_TYPES = 16
@@ -2940,66 +2842,66 @@ async def main():
tasks.append(string_to_spv("matmul_q6_k_f32_aligned", "".join(stream), {"LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
# MUL_MAT_ID
- # stream.clear()
- # stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
-
- # tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
-
- # stream.clear()
- # stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
- # tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
- # tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+ stream.clear()
+ stream.extend((mulmat_head, shader_float_type, mulmat_body1, mulmat_load_scalar, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ tasks.append(string_to_spv("matmul_id_f16", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float16_t", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_f16_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type_f16, "D_TYPE": "float"}, fp16))
+
+ tasks.append(string_to_spv("matmul_id_f16_f32", "".join(stream), {"MUL_MAT_ID": "1", "A_TYPE": "float16_t", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_f16_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": load_vec, "LOAD_VEC_B": load_vec, "A_TYPE": vec_type_f16, "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_0_defines, mulmat_body1, mulmat_load_q4_0, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q4_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q4_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_1_defines, mulmat_body1, mulmat_load_q4_1, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q4_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q4_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_0_defines, mulmat_body1, mulmat_load_q5_0, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q5_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q5_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_1_defines, mulmat_body1, mulmat_load_q5_1, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q5_1_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_1", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q5_1_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_1", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q8_0_defines, mulmat_body1, mulmat_load_q8_0, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q8_0_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q8_0", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q8_0_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q8_0", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q2_K_defines, mulmat_body1, mulmat_load_q2_K, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q2_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q2_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q2_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q2_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q3_K_defines, mulmat_body1, mulmat_load_q3_K, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q3_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q3_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q3_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q3_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q4_K_defines, mulmat_body1, mulmat_load_q4_K, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q4_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q4_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q4_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q4_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q5_K_defines, mulmat_body1, mulmat_load_q5_K, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q5_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q5_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q5_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q5_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
+
+ stream.clear()
+ stream.extend((mulmat_head, shader_int8_ext, shader_float_type, shader_q6_K_defines, mulmat_body1, mulmat_load_q6_K, mulmat_body2))
+ tasks.append(string_to_spv("matmul_id_q6_k_f32", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "A_TYPE": "block_q6_K", "B_TYPE": "float", "D_TYPE": "float"}, fp16))
+ tasks.append(string_to_spv("matmul_id_q6_k_f32_aligned", "".join(stream), {"MUL_MAT_ID": "1", "LOAD_VEC_A": 2, "LOAD_VEC_B": load_vec, "A_TYPE": "block_q6_K", "B_TYPE": vec_type, "D_TYPE": "float"}, fp16))
# Shaders where precision is needed, so no fp16 version
@@ -3008,7 +2910,9 @@ async def main():
stream.clear()
stream.extend((mul_mat_vec_head, shader_int8_ext, shader_f32))
- if i == GGML_TYPE_F16:
+ if i == GGML_TYPE_F32:
+ stream.extend((shader_f32_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
+ elif i == GGML_TYPE_F16:
stream.extend((shader_f16_defines, mul_mat_vec_layout, shader_float_dequant_func, mul_mat_vec_body))
elif i == GGML_TYPE_Q4_0:
stream.extend((shader_q4_0_defines, mul_mat_vec_layout, shader_q4_0_dequant_func, mul_mat_vec_body))
@@ -3036,7 +2940,7 @@ async def main():
tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f32_f32", "".join(stream), {"B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
tasks.append(string_to_spv(f"mul_mat_vec_{type_names[i]}_f16_f32", "".join(stream), {"B_TYPE": "float16_t", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
- # tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
+ tasks.append(string_to_spv(f"mul_mat_vec_id_{type_names[i]}_f32", "".join(stream), {"MUL_MAT_ID": "1", "B_TYPE": "float", "D_TYPE": "float", "K_QUANTS_PER_ITERATION": K_QUANTS_PER_ITERATION}))
# Dequant shaders
for i in range(0, VK_NUM_TYPES):
@@ -3115,8 +3019,11 @@ async def main():
tasks.append(string_to_spv("add_f32", f"{generic_binary_op_combined}\n{add_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
tasks.append(string_to_spv("split_k_reduce", mulmat_split_k_reduce_src, {}))
+
tasks.append(string_to_spv("mul_f32", f"{generic_binary_op_combined}\n{mul_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+ tasks.append(string_to_spv("div_f32", f"{generic_binary_op_combined}\n{div_body}", {"A_TYPE": "float", "B_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
+
tasks.append(string_to_spv("scale_f32", f"{generic_unary_op_combined}\n{scale_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
tasks.append(string_to_spv("sqr_f32", f"{generic_unary_op_combined}\n{sqr_body}", {"A_TYPE": "float", "D_TYPE": "float", "FLOAT_TYPE": "float"}))
@@ -3140,6 +3047,8 @@ async def main():
tasks.append(string_to_spv("argsort_f32", argsort_src, {"A_TYPE": "float"}))
+ tasks.append(string_to_spv("sum_rows_f32", f"{generic_head}\n{shader_f32}\n{sum_rows_src}", {"A_TYPE": "float", "D_TYPE": "float"}))
+
# Helper to decorate tasks with semaphore acquisition.
async def withSemaphore(sem, task):
async with sem: