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https://github.com/ml-explore/mlx.git
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Add io device and cpu::make_task
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9814a2ae12
commit
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@ -55,6 +55,7 @@ target_sources(
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${CMAKE_CURRENT_SOURCE_DIR}/qrf.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/svd.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/inverse.cpp
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${CMAKE_CURRENT_SOURCE_DIR}/cpu_impl.cpp
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${CMAKE_CURRENT_BINARY_DIR}/compiled_preamble.cpp
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)
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48
mlx/backend/common/cpu_impl.cpp
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48
mlx/backend/common/cpu_impl.cpp
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@ -0,0 +1,48 @@
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// Copyright © 2023-2024 Apple Inc.
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#include "mlx/backend/common/cpu_impl.h"
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#include "mlx/primitives.h"
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#include "mlx/scheduler.h"
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namespace mlx::core::cpu {
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std::function<void()> make_task(array arr, bool signal) {
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return [arr = std::move(arr), signal]() mutable {
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auto stream = arr.primitive().stream();
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// Wait on inputs coming from different streams/devices.
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for (auto& input : arr.inputs()) {
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if (input.event().valid() &&
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input.event().stream() != arr.primitive().stream()) {
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input.event().wait();
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}
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}
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// Task computation actually starting.
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scheduler::notify_new_task(stream);
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// Perform the computation
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auto outputs = arr.outputs();
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arr.primitive().eval_cpu(arr.inputs(), outputs);
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// Check if we need to detach and signal other arrays waiting for the
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// result to be ready.
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if (!arr.is_tracer()) {
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arr.detach();
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}
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if (signal) {
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arr.event().signal();
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}
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// Task computation done.
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scheduler::notify_task_completion(stream);
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};
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}
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std::function<void()> make_synchronize_task(
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Stream s,
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std::shared_ptr<std::promise<void>> p) {
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return [p = std::move(p)]() { p->set_value(); };
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}
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} // namespace mlx::core::cpu
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18
mlx/backend/common/cpu_impl.h
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18
mlx/backend/common/cpu_impl.h
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@ -0,0 +1,18 @@
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// Copyright © 2024 Apple Inc.
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#pragma once
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#include <functional>
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#include <future>
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#include <memory>
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#include "mlx/array.h"
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namespace mlx::core::cpu {
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std::function<void()> make_task(array arr, bool signal);
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std::function<void()> make_synchronize_task(
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Stream s,
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std::shared_ptr<std::promise<void>> p);
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} // namespace mlx::core::cpu
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@ -8,10 +8,12 @@ struct Device {
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enum class DeviceType {
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cpu,
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gpu,
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io,
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};
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static constexpr DeviceType cpu = DeviceType::cpu;
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static constexpr DeviceType gpu = DeviceType::gpu;
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static constexpr DeviceType io = DeviceType::io;
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Device(DeviceType type, int index = 0) : type(type), index(index) {};
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@ -106,6 +106,16 @@ std::tuple<array, array, array, int> vmap_ternary_op(
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} // namespace
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void Primitive::eval_io(
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const std::vector<array>& inputs,
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std::vector<array>& outputs) {
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std::ostringstream msg;
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msg << "[Primitive::eval_io] Not implemented for ";
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print(msg);
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msg << ".";
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throw std::invalid_argument(msg.str());
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}
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std::vector<array> Primitive::jvp(
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const std::vector<array>&,
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const std::vector<array>&,
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@ -73,6 +73,16 @@ class Primitive {
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const std::vector<array>& inputs,
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std::vector<array>& outputs) = 0;
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/**
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* Some primitives are computed by an IO device (disk, network, camera etc).
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*
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* Like in eval_cpu/gpu the eval_io function is responsible for allocating
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* the space for the array.
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*/
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virtual void eval_io(
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const std::vector<array>& inputs,
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std::vector<array>& outputs);
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/**
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* The Jacobian-vector product.
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*/
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@ -1,6 +1,7 @@
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// Copyright © 2023 Apple Inc.
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#include "mlx/scheduler.h"
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#include "mlx/backend/common/cpu_impl.h"
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#include "mlx/backend/metal/metal.h"
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namespace mlx::core {
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@ -36,10 +37,13 @@ Stream new_stream() {
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void synchronize(Stream s) {
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auto p = std::make_shared<std::promise<void>>();
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std::future<void> f = p->get_future();
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if (s.device == mlx::core::Device::cpu) {
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scheduler::enqueue(s, [p = std::move(p)]() { p->set_value(); });
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} else {
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scheduler::enqueue(s, metal::make_synchronize_task(s, std::move(p)));
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switch (s.device.type) {
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case mlx::core::Device::cpu:
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scheduler::enqueue(s, cpu::make_synchronize_task(s, std::move(p)));
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break;
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case mlx::core::Device::gpu:
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scheduler::enqueue(s, metal::make_synchronize_task(s, std::move(p)));
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break;
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}
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f.wait();
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}
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@ -8,6 +8,7 @@
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#include <unordered_map>
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#include <unordered_set>
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#include "mlx/backend/common/cpu_impl.h"
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#include "mlx/backend/metal/metal_impl.h"
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#include "mlx/ops.h"
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#include "mlx/primitives.h"
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@ -137,32 +138,17 @@ array eval_impl(std::vector<array> outputs, bool async) {
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std::vector<std::shared_future<void>> arr_deps;
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bool signal = needs_signal.find(arr.id()) != needs_signal.end();
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if (arr.primitive().device() == Device::gpu) {
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if (!metal::is_available()) {
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throw std::runtime_error("Metal GPU is not available.");
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switch (arr.primitive().device().type) {
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case Device::gpu: {
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if (!metal::is_available()) {
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throw std::runtime_error("Metal GPU is not available.");
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}
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scheduler::enqueue(stream, metal::make_task(std::move(arr), signal));
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break;
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}
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scheduler::enqueue(stream, metal::make_task(std::move(arr), signal));
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} else {
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auto task = [arr = std::move(arr), stream, signal]() mutable {
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for (auto& input : arr.inputs()) {
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if (input.event().valid() &&
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input.event().stream() != arr.primitive().stream()) {
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input.event().wait();
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}
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}
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scheduler::notify_new_task(stream);
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auto outputs = arr.outputs();
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arr.primitive().eval_cpu(arr.inputs(), outputs);
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if (!arr.is_tracer()) {
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arr.detach();
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}
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if (signal) {
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arr.event().signal();
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}
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scheduler::notify_task_completion(stream);
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};
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scheduler::enqueue(stream, std::move(task));
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case Device::cpu:
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scheduler::enqueue(stream, cpu::make_task(std::move(arr), signal));
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break;
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}
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}
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return synchronizer;
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@ -133,6 +133,9 @@ std::ostream& operator<<(std::ostream& os, const Device& d) {
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case Device::gpu:
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os << "gpu";
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break;
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case Device::io:
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os << "io";
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break;
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}
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os << ", " << d.index << ")";
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return os;
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