2018-09-19 07:58:03 +08:00
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/***************************************************************************************************
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2019-03-21 01:49:17 +08:00
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* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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2018-09-19 07:58:03 +08:00
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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#pragma once
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/*! \file
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\brief This header contains a class to parametrize a statistical distribution function.
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*/
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#include <fstream>
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namespace cutlass {
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////////////////////////////////////////////////////////////////////////////////////////////////////
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/// Distribution type
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struct Distribution {
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/// Variant types
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enum Kind { Invalid, Uniform, Gaussian, Linear, Identity };
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/// Distribution state
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union {
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/// Uniform distribution
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struct {
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double min;
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double max;
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} uniform;
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/// Gaussian distribution
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struct {
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double mean;
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double stddev;
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} gaussian;
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/// Elements are linear combination of row and column index
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struct {
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double offset;
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double delta_row;
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double delta_column;
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} linear;
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};
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/// Active variant kind
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Kind kind;
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/// Random values are cast to integer after scaling by this power of two
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int int_scale;
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//
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// Methods
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//
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Distribution() : kind(Invalid), int_scale(0) {}
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/// Configures distribution as uniform random
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Distribution &set_uniform(double _min, double _max, int _int_scale = 0) {
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kind = Uniform;
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uniform.min = _min;
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uniform.max = _max;
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int_scale = _int_scale;
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return *this;
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}
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/// Configures distribution as Gaussian distribution
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Distribution &set_gaussian(double _mean, double _stddev, int _int_scale = 0) {
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kind = Gaussian;
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gaussian.mean = _mean;
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gaussian.stddev = _stddev;
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int_scale = _int_scale;
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return *this;
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}
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/// Sets identity
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Distribution &set_identity() {
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kind = Identity;
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return *this;
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}
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/// Configures distribution as linear combination of row and column index
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Distribution &set_linear(double _offset, double _delta_row, double _delta_column) {
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kind = Linear;
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linear.offset = _offset;
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linear.delta_row = _delta_row;
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linear.delta_column = _delta_column;
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return *this;
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}
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};
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} // namespace cutlass
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////////////////////////////////////////////////////////////////////////////////////////////////////
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/// Prints a Distribution to ostream
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inline std::ostream &operator<<(std::ostream &out, cutlass::Distribution const &dist) {
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switch (dist.kind) {
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case cutlass::Distribution::Uniform:
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out << "uniform, min: " << dist.uniform.min << ", max: " << dist.uniform.max;
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break;
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case cutlass::Distribution::Gaussian:
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out << "gaussian, mean: " << dist.gaussian.mean << ", stddev: " << dist.gaussian.stddev;
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break;
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case cutlass::Distribution::Linear:
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out << "linear, mean: " << dist.linear.offset << ", delta_row: " << dist.linear.delta_row
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<< ", delta_column: " << dist.linear.delta_column;
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break;
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case cutlass::Distribution::Identity:
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break;
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default:
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out << "unknown";
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}
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out << ", int_scale: " << dist.int_scale;
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return out;
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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