92 lines
3.4 KiB
Python
92 lines
3.4 KiB
Python
#################################################################################################
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#
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# Copyright (c) 2023 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: BSD-3-Clause
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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#
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# 1. Redistributions of source code must retain the above copyright notice, this
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# list of conditions and the following disclaimer.
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#
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# 2. Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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#
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# 3. Neither the name of the copyright holder nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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# OR TORT (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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"""
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Python registration for compute nodes in EVT
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"""
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from cutlass_cppgen.backend.evt.ir.node import NodeBase, ImplBase
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from cutlass_cppgen.backend.library import FloatRoundStyle
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class ComputeImplBase(ImplBase):
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"""
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Base class for compute implementation
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"""
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def __init__(self, node) -> None:
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super().__init__(node)
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class ComputeImpl(ComputeImplBase):
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"""
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Implementation for Compute Node
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"""
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def __init__(self, node) -> None:
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super().__init__(node)
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self.fn = node.fn
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self.element_output = node.element_output
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self.element_compute = node.element_compute
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self.round_style = node.round_style
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@staticmethod
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def match(node, problem_size: tuple):
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return True
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class ComputeNode(NodeBase):
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"""
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Compute Node in DAG IR
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"""
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possible_impls = [
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ComputeImpl
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]
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def __init__(
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self, name: str, fn, element_output,
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element_compute,
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round_style=FloatRoundStyle.ToNearest) -> None:
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super().__init__(name)
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self.op = "compute"
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self.fn = fn
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self.element_compute = element_compute
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self.round_style = round_style
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def type_propagation(self, *args, **kwargs):
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"""
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Load node loads tensor under type `tensor.element` and returns an array of type `tensor.element`.
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"""
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self.element = self.element_compute
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# In general, the compute nodes have element_output = element_compute
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# In certain cases like producer of D it is overwritten by other passes
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if not hasattr(self, "element_output"):
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self.element_output = self.element
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