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Updated copyright headers (#15124)

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* Updated copyright headers

* Revert "Fixed linker warnings in docs snippets on Windows (#15119)"

This reverts commit 372699ec49.
This commit is contained in:
Ilya Churaev authored and GitHub committed 2023-01-16 11:02:17 +04:00
1 parent 53e9d7acea
commit 0c9abf43a9
11929 files changed
+12533 -12533
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docs/optimization_guide/nncf/code/pruning_tf.py
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# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [imports]
docs/optimization_guide/nncf/code/pruning_torch.py
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@@ -1,4 +1,4 @@
# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [imports]
docs/optimization_guide/nncf/code/qat_tf.py
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# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [imports]
docs/optimization_guide/nncf/code/qat_torch.py
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@@ -1,4 +1,4 @@
# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [imports]
docs/optimization_guide/nncf/ptq/code/ptq_aa_openvino.py
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# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [dataset]
docs/optimization_guide/nncf/ptq/code/ptq_onnx.py
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# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [dataset]
@@ -19,4 +19,4 @@ calibration_dataset = nncf.Dataset(calibration_loader, transform_fn)
model = ... # onnx.ModelProto object
quantized_model = nncf.quantize(model, calibration_dataset)
#! [quantization]
#! [quantization]
docs/optimization_guide/nncf/ptq/code/ptq_openvino.py
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# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [dataset]
@@ -18,4 +18,4 @@ calibration_dataset = nncf.Dataset(calibration_loader, transform_fn)
model = ... # openvino.runtime.Model object
quantized_model = nncf.quantize(model, calibration_dataset)
#! [quantization]
#! [quantization]
docs/optimization_guide/nncf/ptq/code/ptq_tensorflow.py
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@@ -1,4 +1,4 @@
# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [dataset]
@@ -18,4 +18,4 @@ calibration_dataset = nncf.Dataset(calibration_loader, transform_fn)
model = ... # tensorflow.Module object
quantized_model = nncf.quantize(model, calibration_dataset)
#! [quantization]
#! [quantization]
docs/optimization_guide/nncf/ptq/code/ptq_torch.py
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@@ -1,4 +1,4 @@
# Copyright (C) 2018-2022 Intel Corporation
# Copyright (C) 2018-2023 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#! [dataset]
@@ -18,4 +18,4 @@ calibration_dataset = nncf.Dataset(calibration_loader, transform_fn)
model = ... # torch.nn.Module object
quantized_model = nncf.quantize(model, calibration_dataset)
#! [quantization]
#! [quantization]