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Removing q_linear.h and adding tiled q_linear implementation (#5492)
Summary: Pull Request resolved: #5492 Removes q_linear.h and moves implementation directly to q_8w_linear.glsl Reviewed By: nathanaelsee, jorgep31415 Differential Revision: D61309097 fbshipit-source-id: a4776b489b393fc6bafe93e174278e88177d0307
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+394
-84
lines changed

6 files changed

+394
-84
lines changed

‎backends/vulkan/partitioner/supported_ops.py‎

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@@ -84,6 +84,7 @@ def __contains__(self, op):
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exir_ops.edge.aten.addmm.default,
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exir_ops.edge.aten.linear.default,
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exir_ops.edge.et_vk.linear_weight_int4.default,
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exir_ops.edge.aten._weight_int8pack_mm.default,
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# Reduction
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exir_ops.edge.aten._log_softmax.default,
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exir_ops.edge.aten._softmax.default,

‎backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.glsl‎

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@@ -44,10 +44,38 @@ layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
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// This header file must be defined after the layout descriptors have been
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// declared because the functions in the header assume some variables have been
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// declared as layout descriptors.
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#include "q_linear.h"
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#ifdef USING_BUFFER
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#ifndef FLOAT_T
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#define FLOAT_T float
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#endif
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FLOAT_T q_8w_linear(const ivec4 out_idx, const int K) {
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const FLOAT_T scale = t_scales[out_idx.x];
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FLOAT_T outval = FLOAT_T(0.0);
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// Initial mat1 tensor idx will be (0, out_idx.y, out_idx.z, 0)
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int mat1_offset = out_idx.y * mat1_strides.y + out_idx.z * qmat2_strides.z;
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// Initial qmat2 tensor idx wil be (0, out_idx.x, 0, 0); note that the qmat2
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// tensor is transposed
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int qmat2_offset = out_idx.x * qmat2_strides.y;
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// TODO(ssjia): optimize memory access pattern by traversing K in inner loop
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for (int i = 0; i < K; i++) {
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const FLOAT_T mat1_val = t_mat1[mat1_offset];
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const FLOAT_T mat2_val = t_qmat2[qmat2_offset] * scale;
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outval += mat1_val * mat2_val;
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mat1_offset++;
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qmat2_offset++;
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}
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return outval;
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}
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void main() {
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const int out_bufi = int(gl_GlobalInvocationID.x);
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if (out_bufi >= out_numel) {
@@ -61,6 +89,36 @@ void main() {
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#else // USING_TEXTURE
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VEC4_T q_8w_linear(const ivec3 out_pos, const int K) {
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ivec3 mat1_pos = ivec3(0, out_pos.yz);
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ivec3 qmat2_pos = ivec3(0, out_pos.x * 4, 0);
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VEC4_T outtex = VEC4_T(0);
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const ivec3 scales_pos = ivec3(out_pos.x, 0, 0);
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const VEC4_T scales = load_texel(t_scales, scales_pos);
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for (int i = 0; i < K; i += 4) {
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const VEC4_T mat1_tex = load_texel(t_mat1, mat1_pos);
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const VEC4_T sums = VEC4_T(
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dot(mat1_tex, load_texel(t_qmat2, qmat2_pos) * scales.x),
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dot(mat1_tex,
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load_texel(t_qmat2, qmat2_pos + ivec3(0, 1, 0)) * scales.y),
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dot(mat1_tex,
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load_texel(t_qmat2, qmat2_pos + ivec3(0, 2, 0)) * scales.z),
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dot(mat1_tex,
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load_texel(t_qmat2, qmat2_pos + ivec3(0, 3, 0)) * scales.w));
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outtex += sums;
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mat1_pos.x++;
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qmat2_pos.x++;
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}
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return outtex;
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}
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void main() {
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const ivec3 out_pos = ivec3(gl_GlobalInvocationID);
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if (any(greaterThanEqual(out_pos, out_limits))) {

‎backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.glsl‎

Lines changed: 211 additions & 0 deletions
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@@ -0,0 +1,211 @@
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/*
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* Copyright (c) Meta Platforms, Inc. and affiliates.
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* All rights reserved.
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*
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* This source code is licensed under the BSD-style license found in the
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* LICENSE file in the root directory of this source tree.
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*/
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#version 450 core
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#define PRECISION ${PRECISION}
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#define VEC4_T ${texel_load_type(DTYPE, STORAGE)}
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#define FLOAT_T ${buffer_scalar_type(DTYPE)}
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${define_active_storage_type(STORAGE)}
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${define_required_extensions(DTYPE)}
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${define_required_extensions("int8")}
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$if BATCH_MODE:
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#define BATCH_MODE
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#define TILE_ROWS ${TILE_ROWS}
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#define FOUR 4
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// we avoid mat4 and vec4 usage here as they compile to much less efficient
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// SPIR-V
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struct FloatMatrix_2d {
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float data[TILE_ROWS][FOUR];
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};
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struct FloatMatrix_3d {
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float data[TILE_ROWS][FOUR][FOUR];
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};
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#ifdef BATCH_MODE
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#define FloatMatrix FloatMatrix_3d
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#else
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#define FloatMatrix FloatMatrix_2d
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#endif
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#include "indexing_utils.h"
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layout(std430) buffer;
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${layout_declare_tensor(0, "w", "t_out", DTYPE, STORAGE)}
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${layout_declare_tensor(1, "r", "t_mat1", DTYPE, STORAGE)}
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${layout_declare_tensor(2, "r", "t_qmat2", "int8", STORAGE)}
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${layout_declare_tensor(3, "r", "t_scales", DTYPE, STORAGE)}
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$if STORAGE == "buffer":
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${layout_declare_ubo(4, "ivec4", "out_sizes")}
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${layout_declare_ubo(5, "ivec4", "out_strides")}
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${layout_declare_ubo(6, "int", "out_numel")}
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${layout_declare_ubo(7, "ivec4", "mat1_sizes")}
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${layout_declare_ubo(8, "ivec4", "mat1_strides")}
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${layout_declare_ubo(9, "ivec4", "qmat2_strides")}
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${layout_declare_ubo(10, "ivec4", "scales_strides")}
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$else:
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${layout_declare_ubo(4, "ivec3", "out_limits")}
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${layout_declare_ubo(5, "ivec4", "mat1_sizes")}
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layout(local_size_x_id = 0, local_size_y_id = 1, local_size_z_id = 2) in;
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// This header file must be defined after the layout descriptors have been
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// declared because the functions in the header assume some variables have been
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// declared as layout descriptors.
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#ifdef USING_BUFFER
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#ifndef FLOAT_T
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#define FLOAT_T float
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#endif
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FLOAT_T q_8w_linear(const ivec4 out_idx, const int K) {
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const FLOAT_T scale = t_scales[out_idx.x];
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FLOAT_T outval = FLOAT_T(0.0);
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// Initial mat1 tensor idx will be (0, out_idx.y, out_idx.z, 0)
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int mat1_offset = out_idx.y * mat1_strides.y + out_idx.z * qmat2_strides.z;
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// Initial qmat2 tensor idx wil be (0, out_idx.x, 0, 0); note that the qmat2
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// tensor is transposed
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int qmat2_offset = out_idx.x * qmat2_strides.y;
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88+
// TODO(ssjia): optimize memory access pattern by traversing K in inner loop
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for (int i = 0; i < K; i++) {
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const FLOAT_T mat1_val = t_mat1[mat1_offset];
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const FLOAT_T mat2_val = t_qmat2[qmat2_offset] * scale;
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outval += mat1_val * mat2_val;
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mat1_offset++;
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qmat2_offset++;
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}
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return outval;
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}
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void main() {
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const int out_bufi = int(gl_GlobalInvocationID.x);
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if (out_bufi >= out_numel) {
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return;
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}
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const ivec4 out_tidx = bufi_to_tidx(out_bufi, out_strides, 0);
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t_out[out_bufi] = q_8w_linear(out_tidx, mat1_sizes.x);
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}
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#else // USING_TEXTURE
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FloatMatrix q_8w_linear_optimized(const ivec3 out_idx_tl) {
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FloatMatrix results;
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for (int i = 0; i < TILE_ROWS; i++) {
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for (int j = 0; j < FOUR; j++) {
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#ifdef BATCH_MODE
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for (int k = 0; k < FOUR; k++) {
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results.data[i][j][k] = 0.0f;
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}
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#else
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results.data[i][j] = 0.0f;
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#endif // BATCH_MODE
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}
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}
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VEC4_T im_mat1_partial_load[TILE_ROWS];
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VEC4_T im_mat2_partial_load[FOUR];
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#ifdef BATCH_MODE
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for (int batch_idx = 0; batch_idx < FOUR; batch_idx++) {
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if (out_idx_tl.z + batch_idx >= out_limits.z) {
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break;
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}
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#endif
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for (int k = 0; k < mat1_sizes.x; k++) {
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for (int r = 0; r < TILE_ROWS; r++) {
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ivec3 mat1_pos = ivec3(k, out_idx_tl.y * TILE_ROWS + r, 0);
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#ifdef BATCH_MODE
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mat1_pos[2] = out_idx_tl.z + batch_idx;
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#endif
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im_mat1_partial_load[r] = texelFetch(t_mat1, mat1_pos, 0);
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}
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for (int r = 0; r < FOUR; ++r) {
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ivec3 qmat2_pos = ivec3(k, FOUR * out_idx_tl.x + r, 0);
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im_mat2_partial_load[r] = texelFetch(t_qmat2, qmat2_pos, 0);
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}
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vec4 scales = texelFetch(t_scales, ivec3(out_idx_tl.x, 0, 0), 0);
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// perform partial dot products and add partial result to results
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for (int out_row = 0; out_row < TILE_ROWS; out_row++) {
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for (int out_col = 0; out_col < FOUR; out_col++) {
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#ifdef BATCH_MODE
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results.data[out_row][out_col][batch_idx] +=
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#else
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results.data[out_row][out_col] +=
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#endif
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dot(im_mat1_partial_load[out_row],
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im_mat2_partial_load[out_col] * scales[out_col]);
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}
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}
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}
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#ifdef BATCH_MODE
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}
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#endif
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return results;
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}
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void main() {
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const ivec3 out_idx = ivec3(gl_GlobalInvocationID);
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if (any(greaterThanEqual(out_idx, out_limits))) {
177+
return;
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}
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FloatMatrix results = q_8w_linear_optimized(out_idx);
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ivec3 out_pos = ivec3(
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out_idx.x,
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out_idx.y * TILE_ROWS,
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#ifdef BATCH_MODE
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out_idx.z * 4
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#else
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out_idx.z
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#endif
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);
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for (int idx_c = 0; idx_c < TILE_ROWS; idx_c++, out_pos[1]++) {
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out_pos.x = out_idx.x;
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$if BATCH_MODE:
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for (int idx_r = 0; idx_r < FOUR; idx_r++, out_pos[0]++) {
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write_texel(t_out, out_pos, VEC4_T(
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results.data[idx_c][idx_r][0],
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results.data[idx_c][idx_r][1],
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results.data[idx_c][idx_r][2],
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results.data[idx_c][idx_r][3]));
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}
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$else:
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write_texel(t_out, out_pos, VEC4_T(
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results.data[idx_c][0],
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results.data[idx_c][1],
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results.data[idx_c][2],
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results.data[idx_c][3]));
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}
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}
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#endif

‎backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml‎

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# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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q_8w_linear_optimized:
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parameter_names_with_default_values:
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DTYPE: float
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STORAGE: texture3d
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MAT1_PACKING: W_packed
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MAT2_PACKING: W_packed
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BATCH_MODE: false
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TILE_ROWS: 4
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generate_variant_forall:
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TILE_ROWS:
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- VALUE: 4
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SUFFIX: tile_row_4
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- VALUE: 2
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SUFFIX: tile_row_2
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DTYPE:
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- VALUE: float
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- VALUE: half
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STORAGE:
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- VALUE: texture3d
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- VALUE: buffer
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shader_variants:
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- NAME: q_8w_linear_optimized_W_packed_W_packed
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- NAME: q_8w_linear_optimized_W_packed_H_packed
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MAT2_PACKING: H_packed
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- NAME: batch_q_8w_linear_optimized_W_packed_W_packed
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BATCH_MODE: true
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- NAME: batch_q_8w_linear_optimized_W_packed_H_packed
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MAT2_PACKING: H_packed
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BATCH_MODE: true

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