# Copyright (c) 2024, 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 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 ``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 OWNER 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. import NvRules from RequestedMetrics import Importance, MetricRequest, RequestedMetricsParser requested_metrics = [ MetricRequest( "l1tex__throughput.avg.pct_of_peak_sustained_active", None, Importance.OPTIONAL, None, ), ] def get_identifier(): return "Memory" def get_name(): return "Memory Bottleneck" def get_description(): return "Detect bottlenecks arising from memory capabilities" def get_section_identifier(): return "SpeedOfLight" def get_parent_rules_identifiers(): return ["SOLBottleneck"] def apply(handle): ctx = NvRules.get_context(handle) action = ctx.range_by_idx(0).action_by_idx(0) fe = ctx.frontend() metrics = RequestedMetricsParser(handle, action).parse(requested_metrics) speedup_metrics = dict() for name, metric in metrics.items(): if metric is not None: speedup_metrics[name] = metric.value() fe.send_dict_to_children(speedup_metrics)