chore: import upstream snapshot with attribution
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import re
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import tvm
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from tvm.script import ir as I
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from tvm.script import tirx as T
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def test_popcount():
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target = {
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"kind": "llvm",
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"mtriple": "armv7l-none-linux-gnueabihf",
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"mcpu": "cortex-a53",
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"mattr": ["+neon"],
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}
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def check_correct_assembly(type, elements, counts):
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@I.ir_module(s_tir=True)
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class Module:
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@T.prim_func(s_tir=True)
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def main(A: T.Buffer((elements,), type), B: T.Buffer((elements,), type)):
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T.func_attr({"tirx.noalias": True})
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for i in T.vectorized(elements):
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with T.sblock("B"):
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v_i = T.axis.spatial(elements, i)
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T.reads(A[v_i])
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T.writes(B[v_i])
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B[v_i] = T.popcount(A[v_i])
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f = tvm.tirx.build(Module, target=target)
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# Verify we see the correct number of vpaddl and vcnt instructions in the assembly
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assembly = f.inspect_source("asm")
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matches = re.findall("vpaddl", assembly)
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assert len(matches) == counts
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matches = re.findall("vcnt", assembly)
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assert len(matches) == 1
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check_correct_assembly("uint16", 8, 1)
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check_correct_assembly("uint16", 4, 1)
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check_correct_assembly("uint32", 4, 2)
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check_correct_assembly("uint32", 2, 2)
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check_correct_assembly("uint64", 2, 3)
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def test_vmlal_s16():
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target = {
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"kind": "llvm",
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"mtriple": "armv7l-none-linux-gnueabihf",
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"mcpu": "cortex-a53",
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"mattr": ["+neon"],
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}
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def check_correct_assembly(N):
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@I.ir_module(s_tir=True)
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class Module:
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@T.prim_func(s_tir=True)
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def main(var_A: T.handle, var_B: T.handle, C: T.Buffer((N,), "int32")):
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T.func_attr({"tirx.noalias": True})
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K = T.int32()
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A = T.match_buffer(var_A, (K, N), "int8")
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B = T.match_buffer(var_B, (K, N), "int8")
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for n in T.vectorized(N):
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for rv in range(K):
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with T.sblock("C"):
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v_n, v_rv = T.axis.remap("SR", [n, rv])
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T.reads(A[v_rv, v_n], B[v_rv, v_n])
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T.writes(C[v_n])
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with T.init():
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C[v_n] = 0
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C[v_n] = C[v_n] + T.Cast("int32", A[v_rv, v_n]) * T.Cast(
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"int32", B[v_rv, v_n]
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)
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f = tvm.tirx.build(Module, target=target)
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# Verify we see the correct number of vmlal.s16 instructions
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assembly = f.inspect_source("asm")
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matches = re.findall("vmlal.s16", assembly)
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assert len(matches) == N // 4
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check_correct_assembly(8)
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check_correct_assembly(16)
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check_correct_assembly(32)
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check_correct_assembly(64)
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def check_broadcast_correct_assembly(N):
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@I.ir_module(s_tir=True)
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class Module:
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@T.prim_func(s_tir=True)
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def main(var_A: T.handle, var_B: T.handle, C: T.Buffer((N,), "int32")):
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T.func_attr({"tirx.noalias": True})
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K = T.int32()
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A = T.match_buffer(var_A, (K, N), "int8")
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B = T.match_buffer(var_B, (K,), "int8")
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for n in T.vectorized(N):
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for rv in range(K):
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with T.sblock("C"):
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v_n, v_rv = T.axis.remap("SR", [n, rv])
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T.reads(A[v_rv, v_n], B[v_rv])
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T.writes(C[v_n])
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with T.init():
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C[v_n] = 0
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C[v_n] = C[v_n] + T.Cast("int32", A[v_rv, v_n]) * T.Cast(
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"int32", B[v_rv]
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)
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f = tvm.tirx.build(Module, target=target)
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# Verify we see the correct number of vmlal.s16 instructions
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assembly = f.inspect_source("asm")
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matches = re.findall("vmlal.s16", assembly)
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assert len(matches) == N // 4
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check_broadcast_correct_assembly(8)
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check_broadcast_correct_assembly(16)
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check_broadcast_correct_assembly(32)
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check_broadcast_correct_assembly(64)
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if __name__ == "__main__":
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test_popcount()
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test_vmlal_s16()
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