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https://github.com/ml-explore/mlx.git
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30bbea2f08
* add gemv masked to JIT plus some fixes * some cleanup * add utils * fix * fix 2 * more cleaning * fix * remove unused mps matmul support * one more nit * revert
589 lines
16 KiB
C++
589 lines
16 KiB
C++
// Copyright © 2023 Apple Inc.
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#include <climits>
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#include "doctest/doctest.h"
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#include "mlx/mlx.h"
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using namespace mlx::core;
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TEST_CASE("test array basics") {
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// Scalar
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array x(1.0);
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CHECK_EQ(x.size(), 1);
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CHECK_EQ(x.ndim(), 0);
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CHECK_EQ(x.shape(), std::vector<int>{});
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CHECK_THROWS_AS(x.shape(0), std::out_of_range);
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CHECK_THROWS_AS(x.shape(-1), std::out_of_range);
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CHECK_EQ(x.strides(), std::vector<size_t>{});
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CHECK_EQ(x.itemsize(), sizeof(float));
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CHECK_EQ(x.nbytes(), sizeof(float));
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CHECK_EQ(x.dtype(), float32);
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CHECK_EQ(x.item<float>(), 1.0);
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// Scalar with specified type
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x = array(1, float32);
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CHECK_EQ(x.dtype(), float32);
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CHECK_EQ(x.item<float>(), 1.0);
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// Scalar with specified type
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x = array(1, bool_);
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CHECK_EQ(x.dtype(), bool_);
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CHECK_EQ(x.itemsize(), sizeof(bool));
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CHECK_EQ(x.nbytes(), sizeof(bool));
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CHECK_EQ(x.item<bool>(), true);
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// Check shaped arrays
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x = array({1.0});
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CHECK_EQ(x.dtype(), float32);
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CHECK_EQ(x.size(), 1);
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CHECK_EQ(x.ndim(), 1);
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CHECK_EQ(x.shape(), std::vector<int>{1});
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CHECK_EQ(x.shape(0), 1);
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CHECK_EQ(x.shape(-1), 1);
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CHECK_THROWS_AS(x.shape(1), std::out_of_range);
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CHECK_THROWS_AS(x.shape(-2), std::out_of_range);
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CHECK_EQ(x.strides(), std::vector<size_t>{1});
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CHECK_EQ(x.item<float>(), 1.0);
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// Check empty array
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x = array({});
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CHECK_EQ(x.size(), 0);
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CHECK_EQ(x.dtype(), float32);
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CHECK_EQ(x.itemsize(), sizeof(float));
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CHECK_EQ(x.nbytes(), 0);
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CHECK_THROWS_AS(x.item<float>(), std::invalid_argument);
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x = array({1.0, 1.0});
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CHECK_EQ(x.size(), 2);
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CHECK_EQ(x.shape(), std::vector<int>{2});
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CHECK_EQ(x.itemsize(), sizeof(float));
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CHECK_EQ(x.nbytes(), x.itemsize() * x.size());
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// Accessing item in non-scalar array throws
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CHECK_THROWS_AS(x.item<float>(), std::invalid_argument);
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x = array({1.0, 1.0, 1.0}, {1, 3});
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CHECK(x.size() == 3);
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CHECK(x.shape() == std::vector<int>{1, 3});
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CHECK(x.strides() == std::vector<size_t>{3, 1});
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// Test wrong size/shapes throw:
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CHECK_THROWS_AS(array({1.0, 1.0, 1.0}, {4}), std::invalid_argument);
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CHECK_THROWS_AS(array({1.0, 1.0, 1.0}, {1, 4}), std::invalid_argument);
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CHECK_THROWS_AS(array({1.0, 1.0, 1.0}, {1, 2}), std::invalid_argument);
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// Test array ids work as expected
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x = array(1.0);
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auto y = x;
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CHECK_EQ(y.id(), x.id());
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array z(2.0);
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CHECK_NE(z.id(), x.id());
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z = x;
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CHECK_EQ(z.id(), x.id());
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// Array creation from pointer
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float data[] = {0.0, 1.0, 2.0, 3.0};
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x = array(data, {4});
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CHECK_EQ(x.dtype(), float32);
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CHECK(array_equal(x, array({0.0, 1.0, 2.0, 3.0})).item<bool>());
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// Array creation from vectors
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{
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std::vector<int> data = {0, 1, 2, 3};
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x = array(data.begin(), {4});
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CHECK_EQ(x.dtype(), int32);
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CHECK(array_equal(x, array({0, 1, 2, 3})).item<bool>());
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}
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{
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std::vector<bool> data = {false, true, false, true};
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x = array(data.begin(), {4});
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CHECK_EQ(x.dtype(), bool_);
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CHECK(array_equal(x, array({false, true, false, true})).item<bool>());
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}
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}
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TEST_CASE("test array types") {
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#define basic_dtype_test(T, mlx_type) \
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T val = 42; \
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array x(val); \
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CHECK_EQ(x.dtype(), mlx_type); \
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CHECK_EQ(x.item<T>(), val); \
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x = array({val, val}); \
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CHECK_EQ(x.dtype(), mlx_type);
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// bool_
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{
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array x(true);
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CHECK_EQ(x.dtype(), bool_);
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CHECK_EQ(x.item<bool>(), true);
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x = array({true, false});
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CHECK_EQ(x.dtype(), bool_);
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x = array({true, false}, float32);
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CHECK_EQ(x.dtype(), float32);
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CHECK(array_equal(x, array({1.0f, 0.0f})).item<bool>());
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}
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// uint8
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{ basic_dtype_test(uint8_t, uint8); }
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// uint16
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{ basic_dtype_test(uint16_t, uint16); }
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// uint32
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{ basic_dtype_test(uint32_t, uint32); }
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// uint64
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{ basic_dtype_test(uint64_t, uint64); }
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// int8
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{ basic_dtype_test(int8_t, int8); }
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// int16
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{ basic_dtype_test(int16_t, int16); }
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// int32
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{ basic_dtype_test(int32_t, int32); }
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// int64
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{ basic_dtype_test(int64_t, int64); }
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// float16
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{ basic_dtype_test(float16_t, float16); }
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// float32
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{ basic_dtype_test(float, float32); }
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// bfloat16
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{ basic_dtype_test(bfloat16_t, bfloat16); }
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#undef basic_dtype_test
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// uint32
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{
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uint32_t val = UINT_MAX;
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array x(val);
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CHECK_EQ(x.dtype(), uint32);
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CHECK_EQ(x.item<uint32_t>(), val);
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x = array({1u, 2u});
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CHECK_EQ(x.dtype(), uint32);
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}
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// int32
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{
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array x(-1);
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CHECK_EQ(x.dtype(), int32);
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CHECK_EQ(x.item<int>(), -1);
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x = array({-1, 2});
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CHECK_EQ(x.dtype(), int32);
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std::vector<int> data{0, 1, 2};
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x = array(data.data(), {static_cast<int>(data.size())}, bool_);
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CHECK_EQ(x.dtype(), bool_);
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CHECK(array_equal(x, array({false, true, true})).item<bool>());
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}
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// int64
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{
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int64_t val = static_cast<int64_t>(INT_MIN) - 1;
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array x(val);
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CHECK_EQ(x.dtype(), int64);
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CHECK_EQ(x.item<int64_t>(), val);
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x = array({val, val});
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CHECK_EQ(x.dtype(), int64);
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}
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// float32
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{
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array x(3.14f);
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CHECK_EQ(x.dtype(), float32);
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CHECK_EQ(x.item<float>(), 3.14f);
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x = array(1.25);
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CHECK_EQ(x.dtype(), float32);
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CHECK_EQ(x.item<float>(), 1.25f);
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x = array({1.0f, 2.0f});
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CHECK_EQ(x.dtype(), float32);
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x = array({1.0, 2.0});
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CHECK_EQ(x.dtype(), float32);
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std::vector<double> data{1.0, 2.0, 4.0};
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x = array(data.data(), {static_cast<int>(data.size())});
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CHECK_EQ(x.dtype(), float32);
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CHECK(array_equal(x, array({1.0f, 2.0f, 4.0f})).item<bool>());
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}
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// complex64
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{
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CHECK_EQ(sizeof(complex64_t), sizeof(std::complex<float>));
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complex64_t v = {1.0f, 1.0f};
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array x(v);
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CHECK_EQ(x.dtype(), complex64);
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CHECK_EQ(x.item<complex64_t>(), v);
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array y(std::complex<float>{1.0f, 1.0f});
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CHECK_EQ(x.dtype(), complex64);
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CHECK_EQ(x.item<complex64_t>(), v);
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}
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}
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TEST_CASE("test array metadata") {
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array x(1.0f);
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CHECK_EQ(x.data_size(), 1);
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CHECK_EQ(x.flags().contiguous, true);
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CHECK_EQ(x.flags().row_contiguous, true);
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CHECK_EQ(x.flags().col_contiguous, true);
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x = array({1.0f}, {1, 1, 1});
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CHECK_EQ(x.data_size(), 1);
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CHECK_EQ(x.flags().contiguous, true);
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CHECK_EQ(x.flags().row_contiguous, true);
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CHECK_EQ(x.flags().col_contiguous, true);
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x = array({1.0f, 1.0f}, {1, 2});
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CHECK_EQ(x.data_size(), 2);
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CHECK_EQ(x.flags().contiguous, true);
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CHECK_EQ(x.flags().row_contiguous, true);
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CHECK_EQ(x.flags().col_contiguous, true);
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x = zeros({1, 1, 4});
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eval(x);
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CHECK_EQ(x.data_size(), 4);
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CHECK_EQ(x.flags().contiguous, true);
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CHECK_EQ(x.flags().row_contiguous, true);
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CHECK_EQ(x.flags().col_contiguous, true);
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x = zeros({2, 4});
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eval(x);
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CHECK_EQ(x.data_size(), 8);
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CHECK_EQ(x.flags().contiguous, true);
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CHECK_EQ(x.flags().row_contiguous, true);
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CHECK_EQ(x.flags().col_contiguous, false);
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x = array(1.0f);
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auto y = broadcast_to(x, {1, 1, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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y = broadcast_to(x, {2, 8, 10});
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, false);
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CHECK_EQ(y.flags().col_contiguous, false);
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y = broadcast_to(x, {1, 0});
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eval(y);
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CHECK_EQ(y.data_size(), 0);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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y = broadcast_to(zeros({4, 2, 1}), {4, 2, 0});
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eval(y);
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CHECK_EQ(y.data_size(), 0);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = array(1.0f);
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y = transpose(x);
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = ones({1, 1, 1});
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y = transpose(x);
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = ones({1, 1, 1});
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y = transpose(x, {0, 1, 2});
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = ones({1, 1, 1});
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y = transpose(x, {1, 2, 0});
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = ones({4, 1});
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y = transpose(x);
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eval(y);
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CHECK_EQ(y.data_size(), 4);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = ones({2, 3, 4});
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y = transpose(x);
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eval(y);
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CHECK_EQ(y.data_size(), 24);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, false);
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CHECK_EQ(y.flags().col_contiguous, true);
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y = transpose(x, {0, 2, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 24);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, false);
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CHECK_EQ(y.flags().col_contiguous, false);
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y = transpose(transpose(x, {0, 2, 1}), {0, 2, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 24);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, false);
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x = array(1.0f);
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y = reshape(x, {1, 1, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = ones({2, 4});
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y = reshape(x, {8});
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eval(y);
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CHECK_EQ(y.data_size(), 8);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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y = reshape(x, {8, 1, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 8);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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y = reshape(x, {1, 8, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 8);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = ones({12});
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y = reshape(x, {2, 3, 2});
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eval(y);
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CHECK_EQ(y.data_size(), 12);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, false);
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x = array(1.0f);
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y = slice(x, {}, {});
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = array({1.0f});
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y = slice(x, {-10}, {10}, {10});
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eval(y);
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = array({1.0f, 2.0f, 3.0f}, {1, 3});
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y = slice(x, {0, 0}, {1, 3}, {1, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 3);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = array({1.0f, 2.0f, 3.0f}, {1, 3});
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y = slice(x, {0, 0}, {1, 3}, {1, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 3);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = array({1.0f, 2.0f, 3.0f}, {1, 3});
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y = slice(x, {0, 0}, {0, 3}, {1, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 0);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = array({1.0f, 2.0f, 3.0f}, {1, 3});
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y = slice(x, {0, 0}, {1, 2}, {1, 1});
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eval(y);
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CHECK_EQ(y.data_size(), 2);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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CHECK_EQ(y.flags().col_contiguous, true);
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x = array({1.0f, 2.0f, 3.0f}, {1, 3});
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y = slice(x, {0, 0}, {1, 2}, {2, 3});
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eval(y);
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CHECK_EQ(y.shape(), std::vector<int>{1, 1});
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CHECK_EQ(y.data_size(), 1);
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CHECK_EQ(y.flags().contiguous, true);
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CHECK_EQ(y.flags().row_contiguous, true);
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|
CHECK_EQ(y.flags().col_contiguous, true);
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|
|
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x = array({0.0f, 1.0f, 2.0f, 3.0f}, {1, 4});
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y = slice(x, {0, 0}, {1, 4}, {1, 2});
|
|
eval(y);
|
|
CHECK_EQ(y.shape(), std::vector<int>{1, 2});
|
|
CHECK_EQ(y.flags().contiguous, false);
|
|
CHECK_EQ(y.flags().row_contiguous, false);
|
|
CHECK_EQ(y.flags().col_contiguous, false);
|
|
|
|
x = broadcast_to(array(1.0f), {4, 10});
|
|
y = slice(x, {0, 0}, {4, 10}, {2, 2});
|
|
eval(y);
|
|
CHECK_EQ(y.shape(), std::vector<int>{2, 5});
|
|
CHECK_EQ(y.data_size(), 1);
|
|
CHECK_EQ(y.flags().contiguous, true);
|
|
CHECK_EQ(y.flags().row_contiguous, false);
|
|
CHECK_EQ(y.flags().col_contiguous, false);
|
|
|
|
x = broadcast_to(array({1.0f, 2.0f}), {4, 2});
|
|
y = slice(x, {0, 0}, {1, 2}, {1, 1});
|
|
eval(y);
|
|
CHECK_EQ(y.data_size(), 2);
|
|
CHECK_EQ(y.flags().contiguous, true);
|
|
CHECK_EQ(y.flags().row_contiguous, true);
|
|
CHECK_EQ(y.flags().col_contiguous, true);
|
|
|
|
y = slice(x, {1, 0}, {2, 2}, {1, 1});
|
|
eval(y);
|
|
CHECK_EQ(y.data_size(), 2);
|
|
CHECK_EQ(y.flags().contiguous, true);
|
|
CHECK_EQ(y.flags().row_contiguous, true);
|
|
CHECK_EQ(y.flags().col_contiguous, true);
|
|
|
|
x = array({0.0f, 1.0f, 2.0f, 3.0f}, {2, 2});
|
|
y = slice(x, {0, 0}, {2, 2}, {1, 1});
|
|
eval(y);
|
|
CHECK_EQ(y.data_size(), 4);
|
|
CHECK_EQ(y.flags().contiguous, true);
|
|
CHECK_EQ(y.flags().row_contiguous, true);
|
|
CHECK_EQ(y.flags().col_contiguous, false);
|
|
|
|
y = slice(transpose(x), {0, 0}, {2, 2}, {1, 1});
|
|
eval(y);
|
|
CHECK_EQ(y.data_size(), 4);
|
|
CHECK_EQ(y.flags().contiguous, true);
|
|
CHECK_EQ(y.flags().row_contiguous, false);
|
|
CHECK_EQ(y.flags().col_contiguous, true);
|
|
|
|
x = ones({2, 4});
|
|
auto out = split(x, 2);
|
|
eval(out);
|
|
for (auto y : out) {
|
|
CHECK_EQ(y.data_size(), 4);
|
|
CHECK_EQ(y.flags().contiguous, true);
|
|
CHECK_EQ(y.flags().row_contiguous, true);
|
|
CHECK_EQ(y.flags().col_contiguous, true);
|
|
}
|
|
out = split(x, 4, 1);
|
|
eval(out);
|
|
for (auto y : out) {
|
|
CHECK_EQ(y.flags().contiguous, false);
|
|
CHECK_EQ(y.flags().row_contiguous, false);
|
|
CHECK_EQ(y.flags().col_contiguous, false);
|
|
}
|
|
}
|
|
|
|
TEST_CASE("test array iteration") {
|
|
// Dim 0 arrays
|
|
auto arr = array(1);
|
|
CHECK_THROWS(arr.begin());
|
|
|
|
// Iterated arrays are read only
|
|
CHECK(std::is_const_v<decltype(*arr.begin())>);
|
|
|
|
arr = array({1, 2, 3, 4, 5});
|
|
int i = 0;
|
|
for (auto a : arr) {
|
|
i++;
|
|
CHECK_EQ(a.item<int>(), i);
|
|
}
|
|
CHECK_EQ(i, 5);
|
|
|
|
arr = array({1, 2, 3, 4}, {2, 2});
|
|
CHECK(array_equal(*arr.begin(), array({1, 2})).item<bool>());
|
|
CHECK(array_equal(*(arr.begin() + 1), array({3, 4})).item<bool>());
|
|
CHECK_EQ(arr.begin() + 2, arr.end());
|
|
}
|
|
|
|
TEST_CASE("test array shared buffer") {
|
|
std::vector<int> shape = {2, 2};
|
|
int n_elem = shape[0] * shape[1];
|
|
|
|
allocator::Buffer buf_b = allocator::malloc(n_elem * sizeof(float));
|
|
void* buf_b_ptr = buf_b.raw_ptr();
|
|
float* float_buf_b = (float*)buf_b_ptr;
|
|
|
|
for (int i = 0; i < n_elem; i++) {
|
|
float_buf_b[i] = 2.;
|
|
}
|
|
|
|
CHECK_EQ(float_buf_b[0], ((float*)buf_b_ptr)[0]);
|
|
|
|
auto deleter = [float_buf_b](allocator::Buffer buf) {
|
|
CHECK_EQ(float_buf_b, (float*)buf.raw_ptr());
|
|
CHECK_EQ(float_buf_b[0], ((float*)buf.raw_ptr())[0]);
|
|
allocator::free(buf);
|
|
};
|
|
|
|
array a = ones(shape, float32);
|
|
array b = array(buf_b, shape, float32, deleter);
|
|
|
|
eval(a + b);
|
|
}
|
|
|
|
TEST_CASE("test make empty array") {
|
|
auto a = array({});
|
|
CHECK_EQ(a.size(), 0);
|
|
CHECK_EQ(a.dtype(), float32);
|
|
|
|
a = array({}, int32);
|
|
CHECK_EQ(a.size(), 0);
|
|
CHECK_EQ(a.dtype(), int32);
|
|
|
|
a = array({}, float32);
|
|
CHECK_EQ(a.size(), 0);
|
|
CHECK_EQ(a.dtype(), float32);
|
|
|
|
a = array({}, bool_);
|
|
CHECK_EQ(a.size(), 0);
|
|
CHECK_EQ(a.dtype(), bool_);
|
|
}
|