/******************************************************************************* * * MIT License * * Copyright (C) 2017-2022 Advanced Micro Devices, Inc. All rights reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. * *******************************************************************************/ #include #include #include using namespace Tensile; TEST(TensorDescriptor, Simple) { TensorDescriptor t(DataType::Float, {11, 13, 17}); EXPECT_EQ(t.dimensions(), 3); EXPECT_EQ(t.sizes(), std::vector({11, 13, 17})); EXPECT_EQ(t.strides(), std::vector({1, 11, 11 * 13})); EXPECT_EQ(t.totalLogicalElements(), 11 * 13 * 17); EXPECT_EQ(t.totalAllocatedElements(), 11 * 13 * 17); EXPECT_EQ(t.totalAllocatedBytes(), 11 * 13 * 17 * 4); for(int i = 0; i < 3; i++) EXPECT_EQ(t.dimensionPadding(i), 0) << i; EXPECT_EQ(t.index(3, 4, 1), 3 + 4 * 11 + 11 * 13); } TEST(TensorDescriptor, OverlappingStrides) { TensorDescriptor t(DataType::Float, {4, 6, 3}, {1, 4, 1}); EXPECT_EQ(t.dimensions(), 3); EXPECT_EQ(t.sizes(), std::vector({4, 6, 3})); EXPECT_EQ(t.strides(), std::vector({1, 4, 1})); EXPECT_EQ(t.dimensionPadding(0), 0); EXPECT_EQ(t.dimensionPadding(1), 0); EXPECT_EQ(t.totalLogicalElements(), 4 * 6 * 3); EXPECT_EQ(t.totalAllocatedElements(), 4 * 6 + (3 - 1)); EXPECT_EQ(t.totalAllocatedBytes(), (4 * 6 + (3 - 1)) * 4); } TEST(TensorDescriptor, Padded) { TensorDescriptor t(DataType::Float, {11, 13, 17, 4}, {1, 16, 16 * 13, 16 * 13 * 17}); EXPECT_EQ(t.dimensions(), 4); EXPECT_EQ(t.sizes(), std::vector({11, 13, 17, 4})); EXPECT_EQ(t.strides(), std::vector({1, 16, 16 * 13, 16 * 13 * 17})); EXPECT_EQ(t.totalLogicalElements(), 11 * 13 * 17 * 4); EXPECT_EQ(t.totalAllocatedElements(), 1 + 1 * (11 - 1) + 16 * (13 - 1) + (16 * 13) * (17 - 1) + (16 * 13 * 17) * (4 - 1)); EXPECT_EQ(t.dimensionPadding(0), 0); EXPECT_EQ(t.dimensionPadding(1), 5); EXPECT_EQ(t.dimensionPadding(2), 0); EXPECT_EQ(t.dimensionPadding(3), 0); EXPECT_EQ(t.index(3, 4, 1, 2), 3 + 4 * 16 + 16 * 13 + 16 * 13 * 17 * 2); } TEST(TensorDescriptor, SimplePadded) { TensorDescriptor t(DataType::Float, {4, 5}, {1, 8}); EXPECT_EQ(t.dimensions(), 2); EXPECT_EQ(t.sizes(), std::vector({4, 5})); EXPECT_EQ(t.strides(), std::vector({1, 8})); // default 1,4 EXPECT_EQ(t.dimensionPadding(0), 0); EXPECT_EQ(t.dimensionPadding(1), 4); EXPECT_EQ(t.totalLogicalElements(), 4 * 5); EXPECT_EQ(t.totalAllocatedElements(), 4 + 8 * (5 - 1)); // EXPECT_EQ(t.totalAllocatedBytes(), (4*6+(3-1))*4); } TEST(TensorDescriptor, SimpleStrideZero) { TensorDescriptor t(DataType::Float, {4, 5, 6}, {TensorDescriptor::UseDefaultStride, TensorDescriptor::UseDefaultStride, 0}); EXPECT_EQ(t.dimensions(), 3); EXPECT_EQ(t.sizes(), std::vector({4, 5, 6})); EXPECT_EQ(t.strides(), std::vector({1, 4, 0})); // default 1,4 EXPECT_EQ(t.dimensionPadding(0), 0); EXPECT_EQ(t.dimensionPadding(1), 0); EXPECT_EQ(t.dimensionPadding(2), -20); EXPECT_EQ(t.totalLogicalElements(), 4 * 5 * 6); EXPECT_EQ(t.totalAllocatedElements(), 4 * 5); EXPECT_EQ(t.totalAllocatedBytes(), 4 * 5 * 4); } TEST(TensorDescriptor, CollapseDims1) { TensorDescriptor t(DataType::Float, {11, 13, 17, 4}, {1, 16, 16 * 13, 16 * 13 * 17}); { TensorDescriptor u = t; EXPECT_THROW(u.collapseDims(0, 2), std::runtime_error); u.collapseDims(1, 3); EXPECT_EQ(u.dimensions(), 3); EXPECT_EQ(u.sizes(), std::vector({11, 13 * 17, 4})); EXPECT_EQ(u.strides(), std::vector({1, 16, 16 * 13 * 17})); EXPECT_EQ(u.totalLogicalElements(), t.totalLogicalElements()); EXPECT_EQ(u.totalAllocatedElements(), t.totalAllocatedElements()); EXPECT_EQ(u.totalAllocatedBytes(), t.totalAllocatedBytes()); } } TEST(TensorDescriptor, CollapseDims2) { TensorDescriptor t(DataType::Float, {11, 13, 17, 4}); { TensorDescriptor u = t; u.collapseDims(0, 2); EXPECT_EQ(u.dimensions(), 3); EXPECT_EQ(u.sizes(), std::vector({11 * 13, 17, 4})); EXPECT_EQ(u.strides(), std::vector({1, 11 * 13, 11 * 13 * 17})); EXPECT_EQ(u.totalLogicalElements(), t.totalLogicalElements()); EXPECT_EQ(u.totalAllocatedElements(), t.totalAllocatedElements()); EXPECT_EQ(u.totalAllocatedBytes(), t.totalAllocatedBytes()); } { TensorDescriptor u = t; u.collapseDims(0, 4); EXPECT_EQ(u.dimensions(), 1); EXPECT_EQ(u.sizes(), std::vector({11 * 13 * 17 * 4})); EXPECT_EQ(u.strides(), std::vector({1})); EXPECT_EQ(u.totalLogicalElements(), t.totalLogicalElements()); EXPECT_EQ(u.totalAllocatedElements(), t.totalAllocatedElements()); EXPECT_EQ(u.totalAllocatedBytes(), t.totalAllocatedBytes()); } { TensorDescriptor u = t; u.collapseDims(1, 4); EXPECT_EQ(u.dimensions(), 2); EXPECT_EQ(u.sizes(), std::vector({11, 13 * 17 * 4})); EXPECT_EQ(u.strides(), std::vector({1, 11})); EXPECT_EQ(u.totalLogicalElements(), t.totalLogicalElements()); EXPECT_EQ(u.totalAllocatedElements(), t.totalAllocatedElements()); EXPECT_EQ(u.totalAllocatedBytes(), t.totalAllocatedBytes()); } { TensorDescriptor u = t; u.collapseDims(1, 3); EXPECT_EQ(u.dimensions(), 3); EXPECT_EQ(u.sizes(), std::vector({11, 13 * 17, 4})); EXPECT_EQ(u.strides(), std::vector({1, 11, 11 * 13 * 17})); EXPECT_EQ(u.totalLogicalElements(), t.totalLogicalElements()); EXPECT_EQ(u.totalAllocatedElements(), t.totalAllocatedElements()); EXPECT_EQ(u.totalAllocatedBytes(), t.totalAllocatedBytes()); } } TEST(TensorDescriptor, IncrementCoord2d) { std::vector dims{2, 4}; std::vector lastCoord{1, 3}; std::vector coordRef(2); std::vector coordRun(2); for(coordRef[1] = 0; coordRef[1] < dims[1]; coordRef[1]++) for(coordRef[0] = 0; coordRef[0] < dims[0]; coordRef[0]++) { EXPECT_EQ(coordRun, coordRef); bool continueIteration = IncrementCoord(coordRun.begin(), coordRun.end(), dims.begin(), dims.end()); if(coordRef == lastCoord) EXPECT_EQ(continueIteration, false); else EXPECT_EQ(continueIteration, true); } coordRef = {0, 0}; EXPECT_EQ(coordRun, coordRef); EXPECT_EQ(IncrementCoord(coordRun.begin(), coordRun.end(), dims.begin(), dims.end()), true); } TEST(TensorDescriptor, DefaultLowerDims) { TensorDescriptor desc(DataType::Float, {4, 5, 6}, {static_cast(-1), 5}); EXPECT_EQ(desc.dimensions(), 3); EXPECT_EQ(desc.sizes(), std::vector({4, 5, 6})); EXPECT_EQ(desc.strides(), std::vector({1, 5, 25})); } TEST(TensorDescriptor, LowerDimOnly) { TensorDescriptor desc(DataType::Float, {4, 5, 6}, {5}); EXPECT_EQ(desc.dimensions(), 3); EXPECT_EQ(desc.sizes(), std::vector({4, 5, 6})); EXPECT_EQ(desc.strides(), std::vector({5, 20, 100})); }