ONE - On-device Neural Engine
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__init__.py
Go to the documentation of this file.
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from
test_utils
import
TestCase
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from
test_utils
import
gen_random_tensor
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class
AveragePool2D_000_Q8
(
TestCase
):
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def
__init__
(self):
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self.
name
= _name_
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def
generate
(self) -> dict:
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json_content = dict()
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# Generate ifm
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json_content[
'ifm'
] = gen_random_tensor(
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"uint8"
,
# dtype_str
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(1),
# scale_shape
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(1),
# zerop_shape
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0)
# quantized_dimension
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# Generate ofm
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json_content[
'ofm'
] = gen_random_tensor(
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"uint8"
,
# dtype_str
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(1),
# scale_shape
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(1),
# zerop_shape
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0)
# quantized_dimension
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return
json_content
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_name_ =
'AveragePool2D_000_Q8'
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_test_case_ =
AveragePool2D_000_Q8
()
AveragePool2D_000.AveragePool2D_000_Q8
Definition
__init__.py:5
AveragePool2D_000.AveragePool2D_000_Q8.name
name
Definition
__init__.py:7
AveragePool2D_000.AveragePool2D_000_Q8.generate
dict generate(self)
Definition
__init__.py:9
AveragePool2D_000.AveragePool2D_000_Q8.__init__
__init__(self)
Definition
__init__.py:6
test_utils.TestCase
Definition
test_utils.py:72
compiler
q-implant-qparam-test
qparam
AveragePool2D_000
__init__.py
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1.9.8