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https://github.com/ml-explore/mlx.git
synced 2025-12-16 01:49:05 +08:00
Move some dims utils to common (#2223)
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@@ -1,9 +1,16 @@
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// Copyright © 2023-2024 Apple Inc.
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#include "mlx/backend/common/utils.h"
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#include "mlx/primitives.h"
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namespace mlx::core {
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std::string get_primitive_string(Primitive* primitive) {
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std::ostringstream op_t;
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primitive->print(op_t);
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return op_t.str();
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}
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std::tuple<Shape, std::vector<Strides>> collapse_contiguous_dims(
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const Shape& shape,
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const std::vector<Strides>& strides,
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@@ -101,4 +108,105 @@ std::pair<Shape, Strides> collapse_contiguous_dims(
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return collapse_contiguous_dims(a.shape(), a.strides(), size_cap);
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}
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Dims get_block_dims_common(int dim0, int dim1, int dim2, int pow2 /* = 10 */) {
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int pows[3] = {0, 0, 0};
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int sum = 0;
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while (true) {
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int presum = sum;
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// Check all the pows
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if (dim0 >= (1 << (pows[0] + 1))) {
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pows[0]++;
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sum++;
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}
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if (sum == 10) {
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break;
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}
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if (dim1 >= (1 << (pows[1] + 1))) {
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pows[1]++;
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sum++;
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}
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if (sum == 10) {
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break;
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}
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if (dim2 >= (1 << (pows[2] + 1))) {
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pows[2]++;
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sum++;
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}
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if (sum == presum || sum == pow2) {
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break;
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}
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}
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return std::make_tuple(1ul << pows[0], 1ul << pows[1], 1ul << pows[2]);
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}
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Dims get_2d_grid_dims_common(const Shape& shape, const Strides& strides) {
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// Dims with strides of 0 are ignored as they
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// correspond to broadcasted dimensions
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size_t grid_x = 1;
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size_t grid_y = 1;
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for (int i = 0; i < shape.size(); ++i) {
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if (strides[i] == 0) {
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continue;
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}
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if (grid_x * shape[i] < UINT32_MAX) {
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grid_x *= shape[i];
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} else {
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grid_y *= shape[i];
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}
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}
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if (grid_y > UINT32_MAX || grid_x > UINT32_MAX) {
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throw std::runtime_error("Unable to safely factor shape.");
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}
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if (grid_y > grid_x) {
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std::swap(grid_x, grid_y);
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}
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return std::make_tuple(
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static_cast<uint32_t>(grid_x), static_cast<uint32_t>(grid_y), 1);
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}
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Dims get_2d_grid_dims_common(
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const Shape& shape,
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const Strides& strides,
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size_t divisor) {
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// Compute the 2d grid dimensions such that the total size of the grid is
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// divided by divisor.
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size_t grid_x = 1;
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size_t grid_y = 1;
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for (int i = 0; i < shape.size(); ++i) {
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if (strides[i] == 0) {
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continue;
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}
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// No need to add this shape we can just remove it from the divisor.
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if (divisor % shape[i] == 0) {
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divisor /= shape[i];
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continue;
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}
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if (grid_x * shape[i] < UINT32_MAX) {
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grid_x *= shape[i];
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} else {
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grid_y *= shape[i];
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}
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if (divisor > 1) {
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if (grid_x % divisor == 0) {
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grid_x /= divisor;
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divisor = 1;
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} else if (grid_y % divisor == 0) {
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grid_y /= divisor;
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divisor = 1;
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}
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}
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}
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if (grid_y > UINT32_MAX || grid_x > UINT32_MAX || divisor > 1) {
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throw std::runtime_error("Unable to safely factor shape.");
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}
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if (grid_y > grid_x) {
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std::swap(grid_x, grid_y);
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}
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return std::make_tuple(
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static_cast<uint32_t>(grid_x), static_cast<uint32_t>(grid_y), 1);
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}
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} // namespace mlx::core
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@@ -2,12 +2,15 @@
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#pragma once
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#include <tuple>
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#include <vector>
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#include "mlx/array.h"
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namespace mlx::core {
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std::string get_primitive_string(Primitive* primitive);
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inline int64_t
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elem_to_loc(int elem, const Shape& shape, const Strides& strides) {
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int64_t loc = 0;
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@@ -70,6 +73,28 @@ std::pair<Shape, Strides> collapse_contiguous_dims(
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const array& a,
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int64_t size_cap = std::numeric_limits<int32_t>::max());
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// Compute the thread block dimensions which fit the given
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// input dimensions.
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// - The thread block dimensions will be powers of two
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// - The thread block size will be less than 2^pow2
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using Dims = std::tuple<uint32_t, uint32_t, uint32_t>;
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Dims get_block_dims_common(int dim0, int dim1, int dim2, int pow2 = 10);
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// Computes a 2D grid where each element is < UINT_MAX
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// Assumes:
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// - overall size (product of non-broadcasted dimensions) is < UINT_MAX^2
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// - shape and strides correspond to a contiguous (no holes) but
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// possibly broadcasted array
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Dims get_2d_grid_dims_common(const Shape& shape, const Strides& strides);
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// Same as above but we do an implicit division with divisor.
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// Basically, equivalent to factorizing
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// Prod(s \forall s in shape if strides[s] > 0) / divisor.
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Dims get_2d_grid_dims_common(
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const Shape& shape,
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const Strides& strides,
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size_t divisor);
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struct ContiguousIterator {
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inline void step() {
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int dims = shape_.size();
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