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[1/10] CMSIS-NN graph partitioner for softmax (apache#8653)
* cmsis graph partitioner for softmax Change-Id: I80ecd7bc5351f241b4674ef53b36e4398c8adb83 * Updated docstring in the partioning function Change-Id: Ieb4b623e5929cfdb6aa0235db64c825fac8d7055
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# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
# pylint: disable=invalid-name, unused-argument | ||
"""Arm(R) CMSIS-NN supported operators for Cortex-M.""" | ||
import tvm.ir | ||
from tvm.relay import transform | ||
from tvm.relay.build_module import bind_params_by_name | ||
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from ...dataflow_pattern import is_constant, is_op, wildcard | ||
from .register import register_pattern_table | ||
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def partition_for_cmsisnn(mod, params=None, **opts): | ||
"""Partition the graph greedily offloading supported | ||
operators on Cortex-M using CMSIS-NN | ||
Parameters | ||
---------- | ||
mod : Module | ||
The module to run passes on. | ||
params : Optional[Dict[str, NDArray]] | ||
Constant input parameters. | ||
Returns | ||
------- | ||
ret : Module | ||
annotated and partitioned module. | ||
""" | ||
if params: | ||
mod["main"] = bind_params_by_name(mod["main"], params) | ||
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seq = tvm.transform.Sequential( | ||
[ | ||
transform.InferType(), | ||
transform.MergeComposite(pattern_table()), | ||
transform.AnnotateTarget("cmsisnn"), | ||
transform.MergeCompilerRegions(), | ||
transform.PartitionGraph(), | ||
] | ||
) | ||
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return seq(mod) | ||
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@register_pattern_table("cmsisnn") | ||
def pattern_table(): | ||
"""Get the cmsisnn compiler pattern table.""" | ||
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def softmax_pattern(): | ||
pattern = is_op("qnn.dequantize")(wildcard(), is_constant(), is_constant()) | ||
pattern = is_op("nn.softmax")(pattern) | ||
pattern = is_op("qnn.quantize")(pattern, is_constant(), is_constant()) | ||
return pattern | ||
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def check_quantized_softmax(extract): | ||
"""Check if softmax is supported by CMSIS-NN.""" | ||
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# check for dtypes of quantize and dequantize | ||
return ( | ||
extract.attrs.out_dtype == "int8" | ||
and extract.args[0].args[0].args[0].checked_type.dtype == "int8" | ||
) | ||
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return [ | ||
("cmsisnn.qnn_softmax", softmax_pattern(), check_quantized_softmax), | ||
] |
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# Licensed to the Apache Software Foundation (ASF) under one | ||
# or more contributor license agreements. See the NOTICE file | ||
# distributed with this work for additional information | ||
# regarding copyright ownership. The ASF licenses this file | ||
# to you under the Apache License, Version 2.0 (the | ||
# "License"); you may not use this file except in compliance | ||
# with the License. You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, | ||
# software distributed under the License is distributed on an | ||
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
# KIND, either express or implied. See the License for the | ||
# specific language governing permissions and limitations | ||
# under the License. | ||
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"""CMSIS-NN integration tests: softmax""" | ||
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import pytest | ||
import sys | ||
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import tvm | ||
from tvm import relay | ||
from tvm.relay.op.contrib import cmsisnn | ||
import numpy as np | ||
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def count_num_calls(mod): | ||
class CallCounter(relay.ExprVisitor): | ||
def __init__(self): | ||
super().__init__() | ||
self.count = 0 | ||
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def visit_call(self, call): | ||
if isinstance(call.op, tvm.ir.Op): | ||
self.count += 1 | ||
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super().visit_call(call) | ||
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counter = CallCounter() | ||
for var in mod.get_global_vars(): | ||
counter.visit(mod[var.name_hint]) | ||
return counter.count | ||
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def make_module(func): | ||
func = relay.Function(relay.analysis.free_vars(func), func) | ||
mod = tvm.IRModule.from_expr(func) | ||
return relay.transform.InferType()(mod) | ||
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def make_model(shape, zero_point, scale, in_dtype, out_dtype): | ||
a = relay.var("a", shape=shape, dtype=in_dtype) | ||
dequantize = relay.qnn.op.dequantize( | ||
a, | ||
input_scale=relay.const(scale, "float32"), | ||
input_zero_point=relay.const(zero_point, "int32"), | ||
) | ||
softmax = relay.nn.softmax(dequantize) | ||
model = relay.qnn.op.quantize( | ||
softmax, | ||
output_scale=relay.const(scale, "float32"), | ||
output_zero_point=relay.const(zero_point, "int32"), | ||
out_dtype=out_dtype, | ||
) | ||
return model | ||
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def test_softmax_int8(): | ||
model = make_model([1, 16, 16, 3], 64, 0.02, "int8", "int8") | ||
orig_mod = make_module(model) | ||
cmsisnn_mod = cmsisnn.partition_for_cmsisnn(orig_mod) | ||
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attrs = [ | ||
cmsisnn_mod[var.name_hint].attrs | ||
for var in cmsisnn_mod.get_global_vars() | ||
if cmsisnn_mod[var.name_hint].attrs | ||
] | ||
assert any(attrs), "At least one function with external attributes was expected." | ||
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compilers = [ | ||
key == "Compiler" and value == "cmsisnn" for attr in attrs for key, value in attr.items() | ||
] | ||
assert any(compilers), "Module does not contain function for cmsisnn target." | ||
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assert count_num_calls(orig_mod) == count_num_calls( | ||
cmsisnn_mod | ||
), "Number of calls changed during partitioning" | ||
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@pytest.mark.parametrize("in_dtype,out_dtype", [["uint8", "int8"], ["int8", "uint8"]]) | ||
def test_softmax_not_int8(in_dtype, out_dtype): | ||
model = make_model([1, 16, 16, 3], 64, 0.02, in_dtype, out_dtype) | ||
orig_mod = make_module(model) | ||
cmsisnn_mod = cmsisnn.partition_for_cmsisnn(orig_mod) | ||
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attrs = [ | ||
cmsisnn_mod[var.name_hint].attrs | ||
for var in cmsisnn_mod.get_global_vars() | ||
if cmsisnn_mod[var.name_hint].attrs | ||
] | ||
assert not any(attrs), "No function should have an external attribute." | ||
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if __name__ == "__main__": | ||
sys.exit(pytest.main([__file__] + sys.argv[1:])) |