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0c6e843028
Summary: Executing loop's body in a separate workspace, using WorkspaceStack to support saving and reusing of workspaces Test Plan: python caffe2/python/operator_test/onnx_while_test.py Reviewers: caffe2-review, jamesreed Subscribers: Tasks: Tags:
108 lines
3.6 KiB
Python
108 lines
3.6 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import numpy as np
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import hypothesis.strategies as st
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import unittest
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import caffe2.python.hypothesis_test_util as hu
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from caffe2.python import core, workspace
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from hypothesis import given
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from caffe2.proto import caffe2_pb2
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class TestONNXWhile(hu.HypothesisTestCase):
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@given(
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condition=st.booleans(),
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max_trip_count=st.integers(0, 100),
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save_scopes=st.booleans(),
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seed=st.integers(0, 65535),
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**hu.gcs_cpu_only)
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def test_onnx_while_fibb(
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self, condition, max_trip_count, save_scopes, seed, gc, dc):
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np.random.seed(seed)
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# Create body net
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body_net = caffe2_pb2.NetDef()
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# Two loop carried dependencies: first and second
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body_net.external_input.extend(['i', 'cond', 'first', 'second'])
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body_net.external_output.extend(['cond_new', 'second', 'third', 'third'])
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add_op = core.CreateOperator(
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'Add',
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['first', 'second'],
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['third'],
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)
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print3 = core.CreateOperator(
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'Print',
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['third'],
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[],
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)
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limit_const = core.CreateOperator(
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'ConstantFill',
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[],
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['limit_const'],
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shape=[1],
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dtype=caffe2_pb2.TensorProto.FLOAT,
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value=100.0,
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)
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cond = core.CreateOperator(
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'LT',
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['third', 'limit_const'],
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['cond_new'],
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)
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body_net.op.extend([add_op, print3, limit_const, cond])
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while_op = core.CreateOperator(
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'ONNXWhile',
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['max_trip_count', 'condition', 'first_init', 'second_init'],
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['first_a', 'second_a', 'third_a'],
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body=body_net,
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has_cond=True,
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has_trip_count=True,
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save_scopes=save_scopes,
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)
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condition_arr = np.array(condition).astype(np.bool)
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max_trip_count_arr = np.array(max_trip_count).astype(np.int64)
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first_init = np.array([1]).astype(np.float32)
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second_init = np.array([1]).astype(np.float32)
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def ref(max_trip_count, condition, first_init, second_init):
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first = 1
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second = 1
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results = []
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if condition:
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for _ in range(max_trip_count):
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third = first + second
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first = second
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second = third
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results.append(third)
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if third > 100:
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break
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return (first, second, np.array(results).astype(np.float32))
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self.assertReferenceChecks(
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gc,
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while_op,
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[max_trip_count_arr, condition_arr, first_init, second_init],
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ref,
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)
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self.assertFalse(workspace.HasBlob("cond_new"))
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if __name__ == "__main__":
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unittest.main()
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