tesseract/unittest/intsimdmatrix_test.cc
Robin Watts 9dfdac51c6 Tweak scales array for intSimdMatrix case.
Currently, the size of the scales array is not rounded up
in the same way as the weights are. This blocks us pushing
the scale calculations into the SIMD, as when we "overread"
the end of the scale array, we potentially get errors.

Here, we adjust the intSimdMatrix stuff to ensure that the
scales array reserves enough entries to allow such overreads
to work.

This doesn't make any difference for now, but opens the way
for future optimisations.
2020-10-12 11:47:16 +01:00

131 lines
4.4 KiB
C++

///////////////////////////////////////////////////////////////////////
// File: intsimdmatrix_test.cc
// Author: rays@google.com (Ray Smith)
//
// Copyright 2017 Google Inc. All Rights Reserved.
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
// http://www.apache.org/licenses/LICENSE-2.0
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
///////////////////////////////////////////////////////////////////////
#include "intsimdmatrix.h"
#include <memory>
#include <gtest/gtest.h>
#include <gtest/internal/gtest-port.h>
#include <tesseract/genericvector.h>
#include "include_gunit.h"
#include "matrix.h"
#include "simddetect.h"
#include "tprintf.h"
namespace tesseract {
namespace {
class IntSimdMatrixTest : public ::testing::Test {
protected:
void SetUp() {
std::locale::global(std::locale(""));
}
// Makes a random weights matrix of the given size.
GENERIC_2D_ARRAY<int8_t> InitRandom(int no, int ni) {
GENERIC_2D_ARRAY<int8_t> a(no, ni, 0);
for (int i = 0; i < no; ++i) {
for (int j = 0; j < ni; ++j) {
a(i, j) = static_cast<int8_t>(random_.SignedRand(INT8_MAX));
}
}
return a;
}
// Makes a random input vector of the given size, with rounding up.
std::vector<int8_t> RandomVector(int size, const IntSimdMatrix& matrix) {
int rounded_size = matrix.RoundInputs(size);
std::vector<int8_t> v(rounded_size, 0);
for (int i = 0; i < size; ++i) {
v[i] = static_cast<int8_t>(random_.SignedRand(INT8_MAX));
}
return v;
}
// Makes a random scales vector of the given size.
GenericVector<double> RandomScales(int size) {
GenericVector<double> v(size, 0.0);
for (int i = 0; i < size; ++i) {
v[i] = 1.0 + random_.SignedRand(1.0);
}
return v;
}
// Tests a range of sizes and compares the results against the generic version.
void ExpectEqualResults(const IntSimdMatrix& matrix) {
double total = 0.0;
for (int num_out = 1; num_out < 130; ++num_out) {
for (int num_in = 1; num_in < 130; ++num_in) {
GENERIC_2D_ARRAY<int8_t> w = InitRandom(num_out, num_in + 1);
std::vector<int8_t> u = RandomVector(num_in, matrix);
GenericVector<double> scales = RandomScales(num_out);
std::vector<double> base_result(num_out);
IntSimdMatrix::MatrixDotVector(w, scales, u.data(), base_result.data());
std::vector<double> test_result(num_out);
std::vector<int8_t> shaped_wi;
matrix.Init(w, shaped_wi, scales);
if (matrix.matrixDotVectorFunction) {
matrix.matrixDotVectorFunction(w.dim1(), w.dim2(), &shaped_wi[0],
&scales[0], &u[0], &test_result[0]);
} else {
IntSimdMatrix::MatrixDotVector(w, scales, u.data(), test_result.data());
}
for (int i = 0; i < num_out; ++i) {
EXPECT_FLOAT_EQ(base_result[i], test_result[i]) << "i=" << i;
total += base_result[i];
}
}
}
// Compare sum of all results with expected value.
EXPECT_FLOAT_EQ(total, -423243.392011);
}
TRand random_;
};
// Test the C++ implementation without SIMD.
TEST_F(IntSimdMatrixTest, C) {
static const IntSimdMatrix matrix = {nullptr, 1, 1, 1, 1};
ExpectEqualResults(matrix);
}
// Tests that the SSE implementation gets the same result as the vanilla.
TEST_F(IntSimdMatrixTest, SSE) {
#if defined(HAVE_SSE4_1)
if (!SIMDDetect::IsSSEAvailable()) {
GTEST_LOG_(INFO) << "No SSE found! Not tested!";
GTEST_SKIP();
}
ExpectEqualResults(IntSimdMatrix::intSimdMatrixSSE);
#else
GTEST_LOG_(INFO) << "SSE unsupported! Not tested!";
GTEST_SKIP();
#endif
}
// Tests that the AVX2 implementation gets the same result as the vanilla.
TEST_F(IntSimdMatrixTest, AVX2) {
#if defined(HAVE_AVX2)
if (!SIMDDetect::IsAVX2Available()) {
GTEST_LOG_(INFO) << "No AVX2 found! Not tested!";
GTEST_SKIP();
}
ExpectEqualResults(IntSimdMatrix::intSimdMatrixAVX2);
#else
GTEST_LOG_(INFO) << "AVX2 unsupported! Not tested!";
GTEST_SKIP();
#endif
}
} // namespace
} // namespace tesseract