Add vmap to scatter (#1200)

* Add vmap to scatter

* updates

* vmap updates + a few more tests

* bug fix

---------

Co-authored-by: Awni Hannun <awni@apple.com>
This commit is contained in:
nicolov
2024-08-06 05:12:27 +02:00
committed by GitHub
parent 58d0e199e1
commit 8c9f0278b9
6 changed files with 269 additions and 8 deletions

View File

@@ -1,4 +1,5 @@
// Copyright © 2023-2024 Apple Inc.
#include <algorithm>
#include <cassert>
#include <cmath>
@@ -2976,6 +2977,77 @@ std::vector<array> Scatter::jvp(
throw std::runtime_error("[scatter] JVP not yet implemented");
}
std::pair<std::vector<array>, std::vector<int>> Scatter::vmap(
const std::vector<array>& inputs_,
const std::vector<int>& vmap_axes) {
assert(inputs_.size() >= 2);
assert(inputs_.size() == vmap_axes.size());
auto inputs = inputs_;
auto scatter_axes = axes_;
int src_ax = vmap_axes[0];
auto vmap_ax_it = std::find_if(
vmap_axes.begin(), vmap_axes.end(), [](int a) { return a >= 0; });
auto vmap_ax = *vmap_ax_it;
if (vmap_ax >= 0) {
auto vmap_size = inputs[vmap_ax_it - vmap_axes.begin()].shape(vmap_ax);
if (src_ax < 0) {
src_ax = 0;
inputs[0] =
repeat(expand_dims(inputs[0], 0, stream()), vmap_size, 0, stream());
}
for (int i = 1; i < vmap_axes.size() - 1; ++i) {
// vmap axis for indices goes to 0
if (vmap_axes[i] >= 0) {
inputs[i] = moveaxis(inputs[i], vmap_axes[i], 0, stream());
}
// insert a vmap axis and repeat
if (vmap_axes[i] < 0) {
auto idx_shape = inputs[i].shape();
inputs[i] =
repeat(expand_dims(inputs[i], 0, stream()), vmap_size, 0, stream());
}
// Adjust non-vmapped index axes to account for the extra vmap dimension.
if (scatter_axes[i - 1] >= src_ax) {
scatter_axes[i - 1]++;
}
}
auto vmap_inds = arange(vmap_size, inputs[1].dtype(), stream());
auto vmap_inds_shape = std::vector<int>(inputs[1].ndim(), 1);
vmap_inds_shape[0] = vmap_inds.size();
vmap_inds = reshape(vmap_inds, std::move(vmap_inds_shape), stream());
inputs.insert(
inputs.end() - 1, broadcast_to(vmap_inds, inputs[1].shape(), stream()));
scatter_axes.push_back(src_ax);
// Clone updates along the vmap dimension so they can be applied to each
// source tensor in the vmap.
auto& updates = inputs.back();
if (vmap_axes.back() < 0) {
updates = expand_dims(
updates, {0, static_cast<int>(inputs[1].ndim())}, stream());
updates = repeat(updates, vmap_size, 0, stream());
} else {
updates =
expand_dims(updates, static_cast<int>(inputs[1].ndim()), stream());
updates = moveaxis(updates, vmap_axes.back(), 0, stream());
}
}
auto& shape = inputs[0].shape();
auto dtype = inputs[0].dtype();
auto out = array(
shape,
dtype,
std::make_shared<Scatter>(stream(), reduce_type_, scatter_axes),
std::move(inputs));
return {{out}, {src_ax}};
}
std::vector<array> Sigmoid::vjp(
const std::vector<array>& primals,
const std::vector<array>& cotangents,