in bench/GroupwiseConvRequantizeBenchmark.cc [26:538]
void performance_test() {
// clang-format off
const vector<conv_param_t<>> shapes = {
// MB, IC, OC, {IH, IW}, G, {KH, KW}, {stride_h, stride_w}, pad_t, pad_l,
// pad_b, pad_r
// conv_param_t<>(1, 16, 16, {16, 14}, 4, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 128, 128, {56, 48}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 128, 128, {48, 56}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 128, 128, {56, 56}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(2, 128, 128, {56, 56}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 256, 256, {56, 56}, 64, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 3, 64, {224, 224}, 1, {7, 7}, {2, 2}, {3, 3, 3, 3}),
// conv_param_t<>(1, 128, 128, {56, 56}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 128, 128, {56, 56}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 256, 256, {56, 56}, 32, {3, 3}, {2, 2}, {1, 1, 1, 1}),
// conv_param_t<>(1, 256, 256, {28, 28}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 512, 512, {28, 28}, 32, {3, 3}, {2, 2}, {1, 1, 1, 1}),
// conv_param_t<>(1, 512, 512, {14, 14}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 512, 512, {14, 14}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 1024, 1024, {14, 14}, 32, {3, 3}, {2, 2},
// {1, 1, 1, 1}),
// conv_param_t<>(1, 1024, 1024, {7, 7}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// conv_param_t<>(1, 1024, 1024, {7, 7}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
// BatchSize > 1
// conv_param_t<>(2, 128, 128, {56, 48}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 256, 256, {28, 24}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 256, 256, {24, 28}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 256, 256, {28, 28}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(2, 256, 256, {28, 28}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 512, 512, {14, 12}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 512, 512, {12, 14}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 512, 512, {14, 14}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(2, 512, 512, {14, 14}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 64, 64, {56, 56}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 64, 64, {28, 28}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 128, 128, {56, 56}, 32, {3, 3}, {2, 2}, {1, 1, 1, 1}),
conv_param_t<>(1, 128, 128, {28, 28}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 128, 128, {28, 28}, 32, {3, 3}, {2, 2}, {1, 1, 1, 1}),
conv_param_t<>(1, 128, 128, {14, 14}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 256, 256, {28, 28}, 32, {3, 3}, {2, 2}, {1, 1, 1, 1}),
conv_param_t<>(1, 256, 256, {14, 14}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 256, 256, {14, 14}, 32, {3, 3}, {2, 2}, {1, 1, 1, 1}),
conv_param_t<>(1, 256, 256, {7, 7}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
conv_param_t<>(1, 1024, 1024, {14, 14}, 32, {3, 3}, {2, 2}, {1, 1, 1, 1}),
conv_param_t<>(1, 1024, 1024, {7, 7}, 32, {3, 3}, {1, 1}, {1, 1, 1, 1}),
};
// clang-format on
bool flush = true;
std::vector<char> llc;
if (flush) {
llc.resize(128 * 1024 * 1024, 1.0);
}
constexpr int NWARMUP = 4;
constexpr int NITER = 10;
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
cout << "WARNING: the timer may be inaccurate when used by multiple threads."
<< endl;
cout << "MB, "
<< "IC, "
<< "OC, "
<< "IH, "
<< "IW, "
<< "KH, "
<< "KW, "
<< "stride_h, "
<< "stride_w, "
<< "pad_h, "
<< "pad_w, "
<< "Type, "
<< "M, "
<< "N, "
<< "K, "
<< "Im2Col (ms), "
<< "Packing (ms), "
<< "Kernel (ms), "
<< "Postprocessing (ms), "
<< "fbgemmPacked (ms), "
<< "Total (ms), "
<< "GOPS" << endl;
#else
cout << setw(8) << "MB, "
<< "IC, "
<< "OC, "
<< "IH, "
<< "IW, "
<< "KH, "
<< "KW, "
<< "stride_h, "
<< "stride_w, "
<< "pad_h, "
<< "pad_w, "
<< "Type, "
<< "M, "
<< "N, "
<< "K, " << setw(5) << "GOPS" << endl;
#endif
chrono::time_point<chrono::high_resolution_clock> begin, end;
for (auto conv_p : shapes) {
if (conv_p.IC % conv_p.G != 0) {
cout << "Error: Number of input channels " << conv_p.IC
<< " is not a multiple of groups " << conv_p.G << endl;
continue;
}
if (conv_p.OC % conv_p.G != 0) {
cout << "Error: Number of output channels " << conv_p.OC
<< " is not a multiple of groups " << conv_p.G << endl;
continue;
}
int IC_per_G = conv_p.IC / conv_p.G;
int OC_per_G = conv_p.OC / conv_p.G;
aligned_vector<uint8_t> Aint8(
conv_p.MB * conv_p.IN_DIM[0] * conv_p.IN_DIM[1] * conv_p.IC, 0);
// aligned_vector<uint8_t> Aint8_im2col(
// conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1] * conv_p.K[0] *
// conv_p.K[1] * conv_p.IC,
// 0);
aligned_vector<int8_t> Bint8(
conv_p.K[0] * conv_p.K[1] * conv_p.G * IC_per_G * OC_per_G, 0);
aligned_vector<int8_t> Bp(
conv_p.K[0] * conv_p.K[1] * conv_p.G * IC_per_G * OC_per_G, 0);
aligned_vector<int32_t> Cint32_ref(
conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1] * conv_p.OC, 0);
aligned_vector<uint8_t> Cint8_ref(
conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1] * conv_p.OC, 0);
aligned_vector<int32_t> Cint32_fb_fused(
conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1] * conv_p.OC, 0);
aligned_vector<uint8_t> Cint8_fb_fused(
conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1] * conv_p.OC, 0);
aligned_vector<int32_t> Cint32_fb_direct(
conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1] * conv_p.OC, 0);
aligned_vector<uint8_t> Cint8_fb_direct(
conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1] * conv_p.OC, 0);
// cout << conv_p.toString() << endl;
// A matrix (input activations)
randFill<uint8_t>(Aint8, 0, 5);
int32_t Aint8_zero_point = 4;
// B matrix (weights)
randFill<int8_t>(Bint8, -4, 4);
aligned_vector<int32_t> Bint8_zero_point(1);
randFill(Bint8_zero_point, -3, -1);
aligned_vector<float> C_multiplier(Bint8_zero_point.size());
randFill(C_multiplier, 0.1234f / 2, 0.1234f * 3 / 2);
int32_t C_zero_pt = 5;
int R = conv_p.K[0];
int S = conv_p.K[1];
// reference implementation
conv_ref(
conv_p,
Aint8.data(),
Aint8_zero_point,
Bint8.data(),
Cint32_ref.data());
// matrix dimensions after im2col
int MDim = conv_p.MB * conv_p.OUT_DIM[0] * conv_p.OUT_DIM[1];
int NDim = conv_p.OC / conv_p.G;
int KDim = conv_p.K[0] * conv_p.K[1] * conv_p.IC;
// computing row offset
vector<int32_t> row_offsets(MDim);
vector<uint8_t> Aint8_im2col(MDim * KDim);
im2col_ref(conv_p, Aint8.data(), Aint8_zero_point, Aint8_im2col.data());
// computing column offset
vector<int32_t> col_offsets(conv_p.OC);
for (int g = 0; g < conv_p.G; ++g) {
col_offsets_with_zero_pt_s8acc32_ref(
R * S * IC_per_G,
OC_per_G,
OC_per_G,
Bint8.data() + g * R * S * IC_per_G * OC_per_G,
Bint8_zero_point.data(),
col_offsets.data() + g * OC_per_G,
conv_p.OC);
}
for (int g = 0; g < conv_p.G; ++g) {
row_offsets_u8acc32_ref(
MDim,
R * S * IC_per_G,
KDim,
Aint8_im2col.data() + g * R * S * IC_per_G,
row_offsets.data());
requantize_u8acc32_ref(
MDim,
NDim,
conv_p.G * NDim,
Cint32_ref.data() + g * NDim,
Cint8_ref.data() + g * NDim,
C_multiplier.data() + g * NDim / conv_p.OC,
C_zero_pt,
Aint8_zero_point,
Bint8_zero_point.data() + g * NDim / conv_p.OC,
row_offsets.data(),
col_offsets.data() + g * NDim,
nullptr,
conv_p.OC);
}
// printMatrix(matrix_op_t::NoTranspose, Cint8_ref.data(), MDim, NDim, NDim,
// "B unpacked");
// printMatrix(matrix_op_t::NoTranspose, Bint8.data(), KDim, NDim, NDim,
// "B unpacked");
// packedB.printPackedMatrix("B Packed");
double nops = 2.0 * static_cast<double>(NITER) * MDim * NDim * KDim;
double ttot = 0.0;
string runType;
vector<int32_t> row_offset_buf;
row_offset_buf.resize(
PackAWithIm2Col<uint8_t, int32_t>::rowOffsetBufferSize());
PackAWithIm2Col<uint8_t, int32_t> packA(
conv_p, Aint8.data(), nullptr, Aint8_zero_point, row_offset_buf.data());
PackBMatrix<int8_t, int32_t> packedB(
matrix_op_t::NoTranspose,
KDim,
NDim,
Bint8.data(),
NDim,
nullptr,
conv_p.G);
// no-op output process objects
DoNothing<> doNothingObj{};
ReQuantizeOutput<false, QuantizationGranularity::TENSOR> outputProcObj(
doNothingObj,
C_multiplier.data(),
C_zero_pt,
Aint8_zero_point,
Bint8_zero_point.data(),
packA.getRowOffsetBuffer(),
col_offsets.data(),
nullptr,
conv_p.G * NDim,
conv_p.G);
runType = "FusedIm2Col";
ttot = 0;
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
double im2col_time = 0.0;
double total_im2col_time = 0.0;
double total_packing_time = 0.0;
double total_computing_time = 0.0;
double total_kernel_time = 0.0;
double total_postprocessing_time = 0.0;
double total_run_time = 0.0;
#endif
for (auto i = 0; i < NWARMUP + NITER; ++i) {
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
packing_time = 0.0;
computing_time = 0.0;
kernel_time = 0.0;
postprocessing_time = 0.0;
run_time = 0.0;
#endif
llc_flush(llc);
begin = chrono::high_resolution_clock::now();
fbgemmPacked(
packA,
packedB,
Cint8_fb_fused.data(),
Cint32_fb_fused.data(),
conv_p.G * NDim,
outputProcObj,
0,
1);
end = chrono::high_resolution_clock::now();
if (i >= NWARMUP) {
auto dur = chrono::duration_cast<chrono::nanoseconds>(end - begin);
ttot += dur.count();
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
total_packing_time += packing_time;
total_computing_time += computing_time;
total_kernel_time += kernel_time;
total_postprocessing_time += postprocessing_time;
total_run_time += run_time;
#endif
}
}
cout << setw(4) << conv_p.MB << ", " << conv_p.IC << ", " << conv_p.OC
<< ", " << conv_p.IN_DIM[0] << ", " << conv_p.IN_DIM[1] << ", "
<< conv_p.G << ", " << conv_p.K[0] << ", " << conv_p.K[1] << ", "
<< conv_p.stride[0] << ", " << conv_p.stride[1] << ", "
<< conv_p.pad[0] << ", " << conv_p.pad[1] << ", ";
cout << setw(13) << runType << ", " << setw(5) << fixed << setw(5)
<< setw(6) << MDim << ", " << setw(6) << NDim << ", " << setw(6)
<< KDim << ", ";
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
cout << fixed << setprecision(6) << setw(8) << 0 << ", "
<< total_packing_time / (double)NITER / 1e6 << ", "
<< total_kernel_time / (double)NITER / 1e6 << ", "
<< total_postprocessing_time / (double)NITER / 1e6 << ", "
<< total_run_time / (double)NITER / 1e6 << ", "
<< ttot / (double)NITER / 1e6 << ", ";
#endif
cout << setprecision(2) << nops / ttot << endl;
// correctness check
for (int n = 0; n < conv_p.MB; ++n) {
for (int h = 0; h < conv_p.OUT_DIM[0]; ++h) {
for (int w = 0; w < conv_p.OUT_DIM[1]; ++w) {
for (int k = 0; k < conv_p.OC; ++k) {
int32_t expected = Cint8_ref
[((n * conv_p.OUT_DIM[0] + h) * conv_p.OUT_DIM[1] + w) *
conv_p.OC +
k];
int32_t actual = Cint8_fb_fused
[((n * conv_p.OUT_DIM[0] + h) * conv_p.OUT_DIM[1] + w) *
conv_p.OC +
k];
if (expected != actual) {
cout << "Im2Col fused results differ at (" << n << ", " << h
<< ", " << w << ", " << k << ")."
<< " expected:" << expected << " actual:" << actual << endl;
}
}
}
}
}
// compare_buffers(Cint32_ref.data(), Cint32_fb_fused.data(), MDim, NDim *
// conv_p.G, NDim*conv_p.G, 5);
runType = "direct";
ttot = 0;
vector<int32_t> row_offset_buf_direct(rowOffsetBufferSizeGConv(conv_p));
PackWeightMatrixForGConv<int8_t> packedWeights(
matrix_op_t::NoTranspose, conv_p, Bint8.data(), nullptr);
ReQuantizeOutput<false, QuantizationGranularity::TENSOR> reqObj(
doNothingObj,
C_multiplier.data(),
C_zero_pt,
Aint8_zero_point,
Bint8_zero_point.data(),
row_offset_buf_direct.data(),
col_offsets.data(),
nullptr,
conv_p.OC,
conv_p.G);
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
total_im2col_time = 0.0;
total_packing_time = 0.0;
total_computing_time = 0.0;
total_kernel_time = 0.0;
total_postprocessing_time = 0.0;
total_run_time = 0.0;
#endif
for (auto i = 0; i < NWARMUP + NITER; ++i) {
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
im2col_time = 0.0;
packing_time = 0.0;
computing_time = 0.0;
kernel_time = 0.0;
postprocessing_time = 0.0;
run_time = 0.0;
#endif
llc_flush(llc);
begin = chrono::high_resolution_clock::now();
// im2col_ref(conv_p, Aint8.data(), Aint8_zero_point,
// Aint8_im2col.data());
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
end = chrono::high_resolution_clock::now();
im2col_time =
chrono::duration_cast<chrono::nanoseconds>(end - begin).count();
#endif
// printMatrix(matrix_op_t::NoTranspose, Aint8_im2col.data(), MDim, KDim,
// KDim, "A_out after im2col unpacked");
#ifdef _OPENMP
#pragma omp parallel
#endif
{
int num_threads = fbgemm_get_num_threads();
int tid = fbgemm_get_thread_num();
fbgemmGroupwiseConv(
conv_p,
Aint8.data(),
Aint8_zero_point,
row_offset_buf_direct.data(),
packedWeights,
Cint8_fb_direct.data(),
Cint32_fb_direct.data(),
reqObj,
tid,
num_threads);
}
// printMatrix(
// matrix_op_t::NoTranspose,
// Cint8_ref.data(),
// MDim,
// NDim * conv_p.G,
// NDim * conv_p.G,
// "reference:");
// printMatrix(
// matrix_op_t::NoTranspose,
// Cint8_fb_direct.data(),
// MDim,
// NDim * conv_p.G,
// NDim * conv_p.G,
// "Opt:");
end = chrono::high_resolution_clock::now();
if (i >= NWARMUP) {
auto dur = chrono::duration_cast<chrono::nanoseconds>(end - begin);
ttot += dur.count();
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
total_im2col_time += im2col_time;
total_packing_time += packing_time;
total_computing_time += computing_time;
total_kernel_time += kernel_time;
total_postprocessing_time += postprocessing_time;
total_run_time += run_time;
#endif
}
}
if (flush) {
((volatile char*)(llc.data()))[0] += 1;
}
// packedB.printPackedMatrix("bench B Packed");
// printMatrix(matrix_op_t::NoTranspose, Cint32_fb_fused.data(), MDim, NDim,
// NDim, "C fb fp32"); printMatrix(matrix_op_t::NoTranspose,
// Cint32_fb_direct.data(), MDim, NDim, NDim, "C fb2 fp32");
// printMatrix(matrix_op_t::NoTranspose,
// Cint32_ref.data(), MDim, NDim, NDim, "C ref fp32");
cout << setw(4) << conv_p.MB << ", " << conv_p.IC << ", " << conv_p.OC
<< ", " << conv_p.IN_DIM[0] << ", " << conv_p.IN_DIM[1] << ", "
<< conv_p.G << ", " << conv_p.K[0] << ", " << conv_p.K[1] << ", "
<< conv_p.stride[0] << ", " << conv_p.stride[1] << ", "
<< conv_p.pad[0] << ", " << conv_p.pad[1] << ", ";
cout << setw(13) << runType << ", " << setw(5) << fixed << setw(5)
<< setw(6) << MDim << ", " << setw(6) << NDim << ", " << setw(6)
<< KDim << ", ";
#ifdef FBGEMM_MEASURE_TIME_BREAKDOWN
cout << fixed << setprecision(6) << setw(8)
<< total_im2col_time / (double)NITER / 1e6 << ", "
<< total_packing_time / (double)NITER / 1e6 << ", "
<< total_kernel_time / (double)NITER / 1e6 << ", "
<< total_postprocessing_time / (double)NITER / 1e6 << ", "
<< total_run_time / (double)NITER / 1e6 << ", "
<< ttot / (double)NITER / 1e6 << ", ";
#endif
cout << setprecision(2) << nops / ttot << endl;
// correctness check
for (int n = 0; n < conv_p.MB; ++n) {
for (int h = 0; h < conv_p.OUT_DIM[0]; ++h) {
for (int w = 0; w < conv_p.OUT_DIM[1]; ++w) {
for (int k = 0; k < conv_p.OC; ++k) {
int32_t expected = Cint8_ref
[((n * conv_p.OUT_DIM[0] + h) * conv_p.OUT_DIM[1] + w) *
conv_p.OC +
k];
int32_t actual = Cint8_fb_direct
[((n * conv_p.OUT_DIM[0] + h) * conv_p.OUT_DIM[1] + w) *
conv_p.OC +
k];
if (expected != actual) {
cout << "direct conv results differ at (" << n << ", " << h
<< ", " << w << ", " << k << ")."
<< " expected:" << expected << " actual:" << actual << endl;
}
}
}
}
}
// compare_buffers(Cint32_ref.data(), Cint32_fb_direct.data(), MDim,
// NDim*conv_p.G, NDim*conv_p.G, 5);
} // shapes
}