/*************************************************************************************************** * Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without modification, are permitted * provided that the following conditions are met: * * Redistributions of source code must retain the above copyright notice, this list of * conditions and the following disclaimer. * * 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. * * Neither the name of the NVIDIA CORPORATION 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 NVIDIA CORPORATION 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 TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ #pragma once #include #include template inline std::ostream& tensor_view_output(std::ostream& out, T t) { out << t; return out; } template <> inline std::ostream& tensor_view_output(std::ostream& out, int8_t t) { out << int(t); return out; } template inline std::ostream& operator<<(std::ostream& out, cutlass::TensorView const& tensor) { for (int batch = 0; batch < tensor.size(0); ++batch) { out << "[\n "; for (int h = 0; h < tensor.size(1); ++h) { for (int w = 0; w < tensor.size(2); ++w) { for (int c = 0; c < tensor.size(3); ++c) { out << ((c | w) ? ", " : ""); tensor_view_output(out, tensor.at(cutlass::make_Coord(batch, h, w, c))); } } if (h + 1 < tensor.size(1)) { out << " ;\n "; } } out << " ]"; } return out; }