fractional_max_pool3d_out_single_batch_frame Class — pytorch Architecture
Architecture documentation for the fractional_max_pool3d_out_single_batch_frame class in FractionalMaxPool3d.cpp from the pytorch codebase.
Entity Profile
Source Code
aten/src/ATen/native/FractionalMaxPool3d.cpp lines 101–169
template<typename scalar_t>
void fractional_max_pool3d_out_single_batch_frame(
const scalar_t* input,
scalar_t* output,
int64_t* indices,
const scalar_t* randomSamples,
int64_t numPlanes,
int64_t inputT, int64_t inputH, int64_t inputW,
int64_t outputT, int64_t outputH, int64_t outputW,
int64_t poolSizeT, int64_t poolSizeH, int64_t poolSizeW) {
at::parallel_for(0, numPlanes, 0, [&](int64_t start, int64_t end) {
for (const auto plane : c10::irange(start, end)) {
/* each plane contains 3 random samples,
one for T, one for W, and one for H */
const scalar_t* randomSamplesForPlane = randomSamples + plane * 3;
/* Generate interval sequence */
auto sequenceT = generate_intervals<scalar_t>(
randomSamplesForPlane[0], inputT, outputT, poolSizeT);
auto sequenceH = generate_intervals<scalar_t>(
randomSamplesForPlane[1], inputH, outputH, poolSizeH);
auto sequenceW = generate_intervals<scalar_t>(
randomSamplesForPlane[2], inputW, outputW, poolSizeW);
/* loop over output */
const scalar_t* inputForPlane = input + plane * inputT * inputH * inputW;
scalar_t* outputForPlane = output + plane * outputT * outputH * outputW;
int64_t* indicesForPlane = indices + plane * outputT * outputH * outputW;
for (int64_t t = 0; t < outputT; ++t) {
int64_t inputTStart = sequenceT[t];
for (int64_t h = 0; h < outputH; ++h) {
int64_t inputHStart = sequenceH[h];
for (int64_t w = 0; w < outputW; ++w) {
int64_t inputWStart = sequenceW[w];
int64_t t2 = inputTStart, h2 = inputHStart, w2 = inputWStart;
scalar_t maxVal = -std::numeric_limits<scalar_t>::infinity();
int64_t maxIndex = t2 * inputH * inputW + h2 * inputW + w2;
for (t2 = inputTStart; t2 < inputTStart + poolSizeT; ++t2) {
for (h2 = inputHStart; h2 < inputHStart + poolSizeH; ++h2) {
for (w2 = inputWStart; w2 < inputWStart + poolSizeW; ++w2) {
AT_ASSERT(t2 >= 0 && t2 < inputT);
AT_ASSERT(h2 >= 0 && h2 < inputH);
AT_ASSERT(w2 >= 0 && w2 < inputW);
int64_t planeIndex = t2 * inputH * inputW + h2 * inputW + w2;
scalar_t val = inputForPlane[planeIndex];
if (val > maxVal || std::isnan(val)) {
maxVal = val;
maxIndex = planeIndex;
}
}
}
}
outputForPlane[t * outputH * outputW + h * outputW + w] = maxVal;
indicesForPlane[t * outputH * outputW + h * outputW + w] = maxIndex;
}
}
}
}
});
}
Source
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