/*************************************************************************************************** * Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved. * SPDX-License-Identifier: BSD-3-Clause * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, this * list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright notice, * this list of conditions and the following disclaimer in the documentation * and/or other materials provided with the distribution. * * 3. Neither the name of the copyright holder nor the names of its * contributors may be used to endorse or promote products derived from * this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ #include "cutlass_unit_test.h" #include #include #include #include #include #include TEST(CuTe_core, ArraySubbyte) { using namespace cute; { array_subbyte array0{}; array_subbyte array1{}; fill(array0, int4_t(0)); fill(array1, int4_t(1)); for (size_t i = 0; i < array1.size(); ++i) { array0[i+5] = array1[i]; } EXPECT_EQ(int4_t(array0.back()), int4_t(1)); for (size_t i = 0; i < array1.size(); ++i) { EXPECT_EQ(int4_t(array0[i]), int4_t(int(i) / 5)); } } { array_subbyte a{}; //std::cout << sizeof_bits::value << std::endl; EXPECT_EQ(cute::sizeof_bits_v, 14*8); fill(a, uint8_t(13)); for (int i = 0; i < int(a.size()); ++i) { //std::cout << i << ": " << int(a[i]) << " -> "; EXPECT_EQ(a[i], uint8_t(13)); a[i] = uint8_t(i); //std::cout << int(a[i]) << std::endl; EXPECT_EQ(a[i], uint8_t(i)); } //std::cout << std::endl; } { array_subbyte a{}; //std::cout << sizeof_bits::value << std::endl; EXPECT_EQ(cute::sizeof_bits_v, 14/2*8); fill(a, int4_t(-5)); for (int i = 0; i < int(a.size()); ++i) { //std::cout << i << ": " << int4_t(a[i]) << " -> "; EXPECT_EQ(int4_t(a[i]), int4_t(-5)); a[i] = int4_t(i); //std::cout << int4_t(a[i]) << std::endl; EXPECT_EQ(int4_t(a[i]), int4_t(i)); } //std::cout << std::endl; } { array_subbyte a{}; //std::cout << sizeof_bits::value << std::endl; EXPECT_EQ(cute::sizeof_bits_v, 4*8); fill(a, uint2_t(-5)); for (int i = 0; i < int(a.size()); ++i) { //std::cout << i << ": " << uint2_t(a[i]) << " -> "; EXPECT_EQ(uint2_t(a[i]), uint2_t(-5)); a[i] = uint2_t(i); //std::cout << uint2_t(a[i]) << std::endl; EXPECT_EQ(uint2_t(a[i]), uint2_t(i)); } //std::cout << std::endl; } { array_subbyte a{}; //std::cout << sizeof_bits::value << std::endl; EXPECT_EQ(cute::sizeof_bits_v, 2*8); fill(a, bool(1)); for (int i = 0; i < int(a.size()); ++i) { //std::cout << i << ": " << bool(a[i]) << " -> "; EXPECT_EQ(a[i], bool(1)); a[i] = bool(i % 2); //std::cout << bool(a[i]) << std::endl; EXPECT_EQ(a[i], bool(i % 2)); } //std::cout << std::endl; } } TEST(CuTe_core, Subbyte_iterator) { using namespace cute; { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, uint8_t(13)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(uint8_t(tensor(i)), 13); tensor(i) = uint8_t(i); EXPECT_EQ(a[i], uint8_t(tensor(i))); } } { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, int4_t(-5)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(int4_t(tensor(i)), int4_t(-5)); tensor(i) = int4_t(i); EXPECT_EQ(int4_t(a[i]), int4_t(tensor(i))); } } { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, uint2_t(-5)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(uint2_t(tensor(i)), uint2_t(-5)); tensor(i) = uint2_t(i); EXPECT_EQ(uint2_t(a[i]), uint2_t(tensor(i))); } } { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, bool(1)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(bool(tensor(i)), bool(1)); tensor(i) = bool(i % 2); EXPECT_EQ(a[i], bool(tensor(i))); } } } TEST(CuTe_core, Const_subbyte_iterator) { using namespace cute; { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, uint8_t(13)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(uint8_t(tensor(i)), 13); a[i] = uint8_t(i); EXPECT_EQ(a[i], uint8_t(tensor(i))); } } { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, int4_t(-5)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(int4_t(tensor(i)), int4_t(-5)); a[i] = int4_t(i); EXPECT_EQ(int4_t(a[i]), int4_t(tensor(i))); } } { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, uint2_t(-5)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(uint2_t(tensor(i)), uint2_t(-5)); a[i] = uint2_t(i); EXPECT_EQ(uint2_t(a[i]), uint2_t(tensor(i))); } } { array_subbyte a{}; auto tensor = make_tensor(a.begin(), make_shape(15)); fill(a, bool(1)); for (int i = 0; i < int(a.size()); ++i) { EXPECT_EQ(bool(tensor(i)), bool(1)); a[i] = bool(i % 2); EXPECT_EQ(a[i], bool(tensor(i))); } } }