wehub-resource-sync
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
#
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# SPDX-FileCopyrightText: Copyright (c) 2025 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 numpy as np
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import onnx_graphsurgeon as gs
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from demo_diffusion import utils_modelopt
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def create_graph_with_fp16_resize() -> gs.Graph:
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"""Return a gs.Graph with a single Resize node with FP16 input."""
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return gs.Graph(
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nodes=[
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gs.Node(
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op="Resize",
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name="my_resize_node",
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inputs=[
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gs.Variable(name="X", dtype=np.float16),
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gs.Variable(name="roi", dtype=np.float16),
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gs.Variable(name="scales", dtype=np.float16),
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gs.Variable(name="sizes", dtype=np.int64),
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],
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outputs=[gs.Variable(name="Y", dtype=np.float16)],
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)
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]
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)
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def test_should_cast_resize_to_fp32() -> None:
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"""Test that `cast_resize_to_fp32` correctly casts all Resize nodes to FP32."""
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# Precondition.
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graph = create_graph_with_fp16_resize()
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# Under test.
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utils_modelopt.cast_resize_io(graph)
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# Postcondition.
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has_resize = False
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for node in graph.nodes:
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if node.op == "Resize":
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has_resize = True
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x, roi, scales, sizes = node.inputs
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assert x.dtype == np.float32
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assert roi.dtype == np.float32
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assert scales.dtype == np.float32
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assert sizes.dtype == np.int64 # "sizes" is the exception input that cannot be cast to FP32.
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assert has_resize
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