mirror of
https://github.com/ml-explore/mlx.git
synced 2025-09-19 02:38:09 +08:00
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:
11
mlx/ops.cpp
11
mlx/ops.cpp
@@ -1103,6 +1103,9 @@ array moveaxis(
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};
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source = check_ax(source);
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destination = check_ax(destination);
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if (source == destination) {
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return a;
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}
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std::vector<int> reorder(a.ndim());
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std::iota(reorder.begin(), reorder.end(), 0);
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reorder.erase(reorder.begin() + source);
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@@ -2715,9 +2718,8 @@ array scatter(
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if (updates.ndim() != (a.ndim() + idx_shape.size())) {
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std::ostringstream msg;
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msg << "[scatter] Updates with " << updates.ndim()
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<< " dimensions does not match the sum of the array and indices "
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"dimensions "
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<< a.ndim() + idx_shape.size() << ".";
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<< " dimensions does not match the sum of the array (" << a.ndim()
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<< ") and indices (" << idx_shape.size() << ") dimensions.";
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throw std::invalid_argument(msg.str());
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}
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for (int i = 0; i < idx_shape.size(); ++i) {
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@@ -2759,11 +2761,12 @@ array scatter(
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inputs.insert(inputs.begin(), a);
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// TODO promote or cast?
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inputs.push_back(astype(updates, a.dtype(), s));
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return array(
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a.shape(),
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a.dtype(),
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std::make_shared<Scatter>(to_stream(s), mode, axes),
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inputs);
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std::move(inputs));
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}
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array scatter(
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@@ -1,4 +1,5 @@
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// Copyright © 2023-2024 Apple Inc.
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#include <algorithm>
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#include <cassert>
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#include <cmath>
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@@ -2976,6 +2977,77 @@ std::vector<array> Scatter::jvp(
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throw std::runtime_error("[scatter] JVP not yet implemented");
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}
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std::pair<std::vector<array>, std::vector<int>> Scatter::vmap(
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const std::vector<array>& inputs_,
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const std::vector<int>& vmap_axes) {
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assert(inputs_.size() >= 2);
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assert(inputs_.size() == vmap_axes.size());
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auto inputs = inputs_;
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auto scatter_axes = axes_;
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int src_ax = vmap_axes[0];
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auto vmap_ax_it = std::find_if(
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vmap_axes.begin(), vmap_axes.end(), [](int a) { return a >= 0; });
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auto vmap_ax = *vmap_ax_it;
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if (vmap_ax >= 0) {
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auto vmap_size = inputs[vmap_ax_it - vmap_axes.begin()].shape(vmap_ax);
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if (src_ax < 0) {
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src_ax = 0;
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inputs[0] =
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repeat(expand_dims(inputs[0], 0, stream()), vmap_size, 0, stream());
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}
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for (int i = 1; i < vmap_axes.size() - 1; ++i) {
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// vmap axis for indices goes to 0
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if (vmap_axes[i] >= 0) {
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inputs[i] = moveaxis(inputs[i], vmap_axes[i], 0, stream());
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}
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// insert a vmap axis and repeat
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if (vmap_axes[i] < 0) {
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auto idx_shape = inputs[i].shape();
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inputs[i] =
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repeat(expand_dims(inputs[i], 0, stream()), vmap_size, 0, stream());
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}
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// Adjust non-vmapped index axes to account for the extra vmap dimension.
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if (scatter_axes[i - 1] >= src_ax) {
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scatter_axes[i - 1]++;
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}
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}
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auto vmap_inds = arange(vmap_size, inputs[1].dtype(), stream());
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auto vmap_inds_shape = std::vector<int>(inputs[1].ndim(), 1);
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vmap_inds_shape[0] = vmap_inds.size();
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vmap_inds = reshape(vmap_inds, std::move(vmap_inds_shape), stream());
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inputs.insert(
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inputs.end() - 1, broadcast_to(vmap_inds, inputs[1].shape(), stream()));
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scatter_axes.push_back(src_ax);
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// Clone updates along the vmap dimension so they can be applied to each
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// source tensor in the vmap.
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auto& updates = inputs.back();
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if (vmap_axes.back() < 0) {
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updates = expand_dims(
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updates, {0, static_cast<int>(inputs[1].ndim())}, stream());
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updates = repeat(updates, vmap_size, 0, stream());
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} else {
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updates =
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expand_dims(updates, static_cast<int>(inputs[1].ndim()), stream());
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updates = moveaxis(updates, vmap_axes.back(), 0, stream());
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}
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}
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auto& shape = inputs[0].shape();
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auto dtype = inputs[0].dtype();
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auto out = array(
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shape,
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dtype,
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std::make_shared<Scatter>(stream(), reduce_type_, scatter_axes),
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std::move(inputs));
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return {{out}, {src_ax}};
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}
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std::vector<array> Sigmoid::vjp(
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const std::vector<array>& primals,
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const std::vector<array>& cotangents,
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@@ -1713,7 +1713,9 @@ class Scatter : public UnaryPrimitive {
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void eval_cpu(const std::vector<array>& inputs, array& out) override;
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void eval_gpu(const std::vector<array>& inputs, array& out) override;
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DEFINE_VMAP();
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DEFINE_GRADS();
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void print(std::ostream& os) override {
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os << "Scatter";
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switch (reduce_type_) {
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@@ -563,8 +563,10 @@ std::pair<std::vector<array>, std::vector<array>> vmap_trace(
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detail::InTracing in_tracing;
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if (in_axes.size() != inputs.size()) {
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throw std::invalid_argument(
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"[vmap] The number of in axes must match the number of inputs.");
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std::stringstream ss;
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ss << "[vmap] The number of in axes (" << in_axes.size()
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<< ") must match the number of inputs (" << inputs.size() << ").";
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throw std::invalid_argument(ss.str());
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}
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// Some error checking and get the vmap axis size
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@@ -620,8 +622,10 @@ std::vector<array> vmap_replace(
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const std::vector<int>& in_axes,
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const std::vector<int>& out_axes) {
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if (out_axes.size() != s_outputs.size()) {
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throw std::invalid_argument(
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"[vmap] The number of out axes must match the number of outputs.");
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std::stringstream msg;
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msg << "[vmap] The number of out axes (" << out_axes.size()
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<< ") must match the number of outputs (" << s_outputs.size() << ").";
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throw std::invalid_argument(msg.str());
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}
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std::unordered_map<std::uintptr_t, std::pair<array, int>> tmap;
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