wehub-resource-sync
82 lines
2.5 KiB
Python
82 lines
2.5 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 1993-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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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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import os
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import tempfile
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import pytest
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from polygraphy import constants, util
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from polygraphy.backend.tf import (
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GraphFromFrozen,
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ModifyGraphOutputs,
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SaveGraph,
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graph_from_frozen,
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)
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from polygraphy.logger import G_LOGGER
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from tests.helper import is_file_non_empty
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from tests.models.meta import TF_MODELS
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tf = pytest.importorskip("tensorflow")
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class TestLoggerCallbacks:
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@pytest.mark.parametrize("sev", G_LOGGER.SEVERITY_LETTER_MAPPING.keys())
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def test_set_severity(self, sev):
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G_LOGGER.module_severity = sev
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class TestFrozenGraphLoader:
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def test_load_graph(self):
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with tf.compat.v1.Graph().as_default() as graph:
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inp = tf.placeholder(shape=(1, 1, 1, 1), dtype=tf.float32)
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out = tf.identity(inp)
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graph, outputs = graph_from_frozen(graph)
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assert graph
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assert outputs
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def test_load_pb(self):
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tf_loader = GraphFromFrozen(TF_MODELS["identity"].path)
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tf_loader()
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class TestModifyGraph:
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def test_layerwise(self):
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load_frozen = GraphFromFrozen(TF_MODELS["identity"].path)
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modify_tf = ModifyGraphOutputs(load_frozen, outputs=constants.MARK_ALL)
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graph, outputs = modify_tf()
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assert graph
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assert outputs
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class TestSaveGraph:
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def test_save_pb(self):
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with util.NamedTemporaryFile() as outpath:
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tf_loader = SaveGraph(
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GraphFromFrozen(TF_MODELS["identity"].path), path=outpath.name
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)
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tf_loader()
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assert is_file_non_empty(outpath.name)
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def test_save_tensorboard(self):
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with tempfile.TemporaryDirectory() as outdir:
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tf_loader = SaveGraph(
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GraphFromFrozen(TF_MODELS["identity"].path), tensorboard_dir=outdir
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)
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tf_loader()
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assert os.path.exists(tf_loader.tensorboard_dir)
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