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# Copyright (c) 2016-present, Facebook, Inc.
#
# Licensed 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.
##############################################################################
import caffe2.python.hypothesis_test_util as hu
from caffe2.python import core, workspace
from hypothesis import given
from caffe2.quantization.server import dnnlowp_pybind11
class TestInt8QuantSchemeBlobFillOperator(hu.HypothesisTestCase):
@given(
**hu.gcs_cpu_only
)
def test_int8_quant_scheme_blob_fill_op(
self, gc, dc
):
# Build a net to generate qscheme blob using the Int8QuantSchemeBlobFill op
gen_quant_scheme_net = core.Net("gen_quant_scheme")
gen_quant_scheme_op = core.CreateOperator(
"Int8QuantSchemeBlobFill",
[],
["quant_scheme"],
quantization_kind="MIN_MAX_QUANTIZATION",
preserve_sparsity=False,
device_option=gc,
)
gen_quant_scheme_net.Proto().op.extend([gen_quant_scheme_op])
assert workspace.RunNetOnce(
gen_quant_scheme_net
), "Failed to run the gen_quant_scheme net"
quantization_kind, preserve_sparsity = dnnlowp_pybind11.ObserveInt8QuantSchemeBlob("quant_scheme")
assert quantization_kind == "MIN_MAX_QUANTIZATION"
assert not preserve_sparsity
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