test / src /f32-gemm /gen /f32-gemm-1x8-aarch64-neonfma-cortex-a75.cc
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// Copyright 2019 Google LLC
//
// This source code is licensed under the BSD-style license found in the
// LICENSE file in the root directory of this source tree.
#include <cassert>
#include <cstddef>
#include <limits>
#include <xnnpack.h>
#include <xnnpack/aarch64-assembler.h>
#include <xnnpack/gemm.h>
#include <xnnpack/memory.h>
#include <xnnpack/microparams.h>
#include <xnnpack/post-operation.h>
namespace xnnpack {
namespace aarch64 {
namespace {
class Generator : public MacroAssembler {
using MacroAssembler::MacroAssembler;
public:
void generate(bool prefetch, size_t max_mr, size_t nc_mod_nr, size_t kc, const jit_gemm_params* jit_gemm_params);
void perform_post_operations(size_t max_mr, size_t num_post_operations, const xnn_post_operation* post_operations);
};
// void xnn_f32_gemm_minmax_ukernel_1x8__asm_aarch64_neonfma_cortex_a75_prfm(
// size_t mr, (x0) - unused. mr = 1
// size_t nc, x1
// size_t kc, x2 / x0
// const uint8_t* restrict a, x3
// size_t a_stride, (x4) - unused
// const void* restrict w, x5
// uint8_t* restrict c, x6
// size_t cm_stride, (x7) - unused
// size_t cn_stride, [sp] -> x14
// const union xnn_f32_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) [sp + 8] -> (x8)
// d8-d15, x19-x30 need to be preserved if used. x18 is reserved by the OS.
// Register usage
// A0 x3 v0 v1
// B x5 v20 v21 v22 v23
// B v24 v25 v26 v27
// C0 x6 v16 v17 v18 v19
// Clamp v4, v5
// Converted from: src/f32-gemm/gen/f32-gemm-1x8-minmax-asm-aarch64-neonfma-cortex-a75-prfm.S
void Generator::generate(bool prefetch, size_t max_mr, size_t nc_mod_nr, size_t kc, const jit_gemm_params* jit_gemm_params)
{
assert(max_mr <= 1);
assert(nc_mod_nr < 8);
assert(kc != 0);
assert(kc % sizeof(float) == 0);
Label l0, l1, l2, l3, l4, l5, l6, l7, l8, l9, l10, l11, l12;
const size_t num_post_operations = jit_gemm_params->num_post_operations;
const xnn_post_operation* post_operations = jit_gemm_params->post_operations;
const float min = jit_gemm_params->f32_minmax.min;
const float max = jit_gemm_params->f32_minmax.max;
const bool clamp_min = min != -std::numeric_limits<float>::infinity();
const bool clamp_max = max != +std::numeric_limits<float>::infinity();
assert(num_post_operations == 0 || (!clamp_min && !clamp_max));
// Load cn_stride, params pointer
ldp(x14, x8, mem[sp]);
// Load min/max values
if (clamp_min || clamp_max) {
ld2r({v4.v4s(), v5.v4s()}, mem[x8]);
}
bind(l0);
// Load initial bias from w into accumulators
ldp(q16, q17, mem[x5], 32);
movi(v18.v4s(), 0); // second set of C for pipelining FMLA
if (prefetch) {
prfm(kPLDL1KEEP, mem[x5]);
}
movi(v19.v4s(), 0);
if (prefetch) {
prfm(kPLDL1KEEP, mem[x5, 64]);
prfm(kPLDL1KEEP, mem[x5, 128]);
prfm(kPLDL1KEEP, mem[x5, 192]);
}
// Is there at least 8 floats (32 bytes) for prologue + epilogue?
subs(x0, x2, 32); // k = kc - 32
b_lo(l3);
// 16 prologue
// Read first block of 1 A and B.
ldp(q20, q21, mem[x5], 32);
ldp(q22, q23, mem[x5], 32);
ldp(q24, q25, mem[x5], 32);
ldp(q26, q27, mem[x5], 32);
ldr(q0, mem[x3], 16);
// Is there at least 32. yes do main loop
subs(x0, x0, 32);
b_lo(l2);
// Main loop - 8 floats of A (32 bytes)
bind(l1);
// First block of 4. FMA for first 4, loads for 2nd block of 4.
fmla(v16.v4s(), v20.v4s(), v0.s()[0]);
ldr(q1, mem[x3], 16);
fmla(v17.v4s(), v21.v4s(), v0.s()[0]);
ldp(q20, q21, mem[x5], 32);
fmla(v18.v4s(), v22.v4s(), v0.s()[1]);
if (prefetch) {
prfm(kPLDL1KEEP, mem[x5, 96]);
}
fmla(v19.v4s(), v23.v4s(), v0.s()[1]);
ldp(q22, q23, mem[x5], 32);
fmla(v16.v4s(), v24.v4s(), v0.s()[2]);
fmla(v17.v4s(), v25.v4s(), v0.s()[2]);
ldp(q24, q25, mem[x5], 32);
fmla(v18.v4s(), v26.v4s(), v0.s()[3]);
fmla(v19.v4s(), v27.v4s(), v0.s()[3]);
ldp(q26, q27, mem[x5], 32);
// Second block of 4. FMA for second 4, loads for 1st block of 4.
fmla(v16.v4s(), v20.v4s(), v1.s()[0]);
ldr(q0, mem[x3], 16);
fmla(v17.v4s(), v21.v4s(), v1.s()[0]);
ldp(q20, q21, mem[x5], 32);
fmla(v18.v4s(), v22.v4s(), v1.s()[1]);
fmla(v19.v4s(), v23.v4s(), v1.s()[1]);
ldp(q22, q23, mem[x5], 32);
fmla(v16.v4s(), v24.v4s(), v1.s()[2]);
fmla(v17.v4s(), v25.v4s(), v1.s()[2]);
ldp(q24, q25, mem[x5], 32);
fmla(v18.v4s(), v26.v4s(), v1.s()[3]);
fmla(v19.v4s(), v27.v4s(), v1.s()[3]);
subs(x0, x0, 32);
ldp(q26, q27, mem[x5], 32);
b_hs(l1);
bind(l2);
// Epilogue
// First block of 4. FMA for first 4, loads for 2nd block of 4.
fmla(v16.v4s(), v20.v4s(), v0.s()[0]);
ldr(q1, mem[x3], 16);
fmla(v17.v4s(), v21.v4s(), v0.s()[0]);
ldp(q20, q21, mem[x5], 32);
fmla(v18.v4s(), v22.v4s(), v0.s()[1]);
fmla(v19.v4s(), v23.v4s(), v0.s()[1]);
ldp(q22, q23, mem[x5], 32);
fmla(v16.v4s(), v24.v4s(), v0.s()[2]);
fmla(v17.v4s(), v25.v4s(), v0.s()[2]);
ldp(q24, q25, mem[x5], 32);
fmla(v18.v4s(), v26.v4s(), v0.s()[3]);
fmla(v19.v4s(), v27.v4s(), v0.s()[3]);
ldp(q26, q27, mem[x5], 32);
// Second block of 4. no loads
fmla(v16.v4s(), v20.v4s(), v1.s()[0]);
fmla(v17.v4s(), v21.v4s(), v1.s()[0]);
fmla(v18.v4s(), v22.v4s(), v1.s()[1]);
fmla(v19.v4s(), v23.v4s(), v1.s()[1]);
fmla(v16.v4s(), v24.v4s(), v1.s()[2]);
fmla(v17.v4s(), v25.v4s(), v1.s()[2]);
fmla(v18.v4s(), v26.v4s(), v1.s()[3]);
fmla(v19.v4s(), v27.v4s(), v1.s()[3]);
bind(l3);
// Is there a remainder?- 4 floats of A (16 bytes)
tbnz(x0, 4, l5);
// Is there a remainder?- 2 floats of A (8 bytes)
tbnz(x0, 3, l6);
// Is there a remainder?- 1 float of A (4 bytes)
tbnz(x0, 2, l8);
bind(l4);
fadd(v16.v4s(), v16.v4s(), v18.v4s());
subs(x1, x1, 8);
fadd(v17.v4s(), v17.v4s(), v19.v4s());
// Clamp
if (clamp_min) {
fmax(v16.v4s(), v16.v4s(), v4.v4s());
fmax(v17.v4s(), v17.v4s(), v4.v4s());
}
if (clamp_max) {
fmin(v16.v4s(), v16.v4s(), v5.v4s());
fmin(v17.v4s(), v17.v4s(), v5.v4s());
}
perform_post_operations(max_mr, num_post_operations, post_operations);
// Store full 1 x 8
b_lo(l9);
stp(q16, q17, mem[x6]);
add(x6, x6, x14);
sub(x3, x3, x2); // a0 -= kc
b_hi(l0);
ret();
bind(l5);
// Remainder- 4 floats of A (16 bytes)
ldp(q20, q21, mem[x5], 32);
ldr(q0, mem[x3], 16);
fmla(v16.v4s(), v20.v4s(), v0.s()[0]);
fmla(v17.v4s(), v21.v4s(), v0.s()[0]);
ldp(q22, q23, mem[x5], 32);
ldp(q24, q25, mem[x5], 32);
ldp(q26, q27, mem[x5], 32);
fmla(v18.v4s(), v22.v4s(), v0.s()[1]);
fmla(v19.v4s(), v23.v4s(), v0.s()[1]);
fmla(v16.v4s(), v24.v4s(), v0.s()[2]);
fmla(v17.v4s(), v25.v4s(), v0.s()[2]);
fmla(v18.v4s(), v26.v4s(), v0.s()[3]);
fmla(v19.v4s(), v27.v4s(), v0.s()[3]);
tbz(x0, 3, l7);
bind(l6);
// Remainder- 2 floats of A (8 bytes)
ldp(q20, q21, mem[x5], 32);
ldr(d0, mem[x3], 8);
fmla(v16.v4s(), v20.v4s(), v0.s()[0]);
fmla(v17.v4s(), v21.v4s(), v0.s()[0]);
ldp(q22, q23, mem[x5], 32);
fmla(v18.v4s(), v22.v4s(), v0.s()[1]);
fmla(v19.v4s(), v23.v4s(), v0.s()[1]);
bind(l7);
tbz(x0, 2, l4);
bind(l8);
// Remainder- 1 float of A (4 bytes)
ldp(q20, q21, mem[x5], 32);
ldr(s0, mem[x3], 4);
fmla(v16.v4s(), v20.v4s(), v0.s()[0]);
fmla(v17.v4s(), v21.v4s(), v0.s()[0]);
b(l4);
// Store odd channels
bind(l9);
tbz(x1, 2, l10);
str(q16, mem[x6], 16);
mov(v16.v16b(), v17.v16b());
bind(l10);
tbz(x1, 1, l11);
str(d16, mem[x6], 8);
dup(d16, v16.d()[1]);
bind(l11);
tbz(x1, 0, l12);
str(s16, mem[x6]);
bind(l12);
ret();
align(16, AlignInstruction::kHlt);
}
void Generator::perform_post_operations(
size_t max_mr,
size_t num_post_operations,
const xnn_post_operation* post_operations)
{
if (num_post_operations == 0) {
return;
}
for (size_t i = 0; i < num_post_operations; i++) {
switch (post_operations[i].op_type) {
case xnn_post_operation_type_hardswish: {
// Reuse A pointers (don't use v8-v15 as they are callee saved).
const auto sixth = v0.v4s();
const auto three = v1.v4s();
const auto six = v2.v4s();
const auto zero = v3.v4s();
// v4, v5, v6, v7 available for temporaries.
ld3r({sixth, three, six}, mem[x8]++);
movi(zero, 0);
const VRegister accs[] = {
v16.v4s(), v17.v4s(),
};
const VRegister tmps[] = {v4.v4s(), v5.v4s()};
f32_hardswish(sixth, three, six, zero, &accs[0], XNN_COUNT_OF(accs), &tmps[0], XNN_COUNT_OF(tmps));
break;
}
default:
XNN_UNREACHABLE;
}
}
}
} // namespace
} // namespace aarch64
} // namespace xnnpack
xnn_status_t xnn_generate_f32_gemm_ukernel_1x8__aarch64_neonfma_cortex_a75(xnn_code_buffer* code, size_t max_mr, size_t nc_mod_nr, size_t kc, const void* params) {
using namespace xnnpack::aarch64;
Generator g(code);
assert(params != nullptr);
g.generate(false, max_mr, nc_mod_nr, kc, static_cast<const jit_gemm_params*>(params));
g.finalize();
if (g.error() != xnnpack::Error::kNoError) {
return xnn_status_invalid_state;
}
return xnn_status_success;
}
xnn_status_t xnn_generate_f32_gemm_ukernel_1x8__aarch64_neonfma_cortex_a75_prfm(xnn_code_buffer* code, size_t max_mr, size_t nc_mod_nr, size_t kc, const void* params) {
using namespace xnnpack::aarch64;
Generator g(code);
assert(params != nullptr);
g.generate(true, max_mr, nc_mod_nr, kc, static_cast<const jit_gemm_params*>(params));
g.finalize();
if (g.error() != xnnpack::Error::kNoError) {
return xnn_status_invalid_state;
}
return xnn_status_success;
}