[xdoctest][task 122] Reformat example code with google style in python/paddle/quantization/qat.py #56233
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Candy2Tang
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SigureMo
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Aug 14, 2023
python/paddle/quantization/qat.py
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| .. code-block:: python | ||
| from paddle.quantization import QAT, QuantConfig | ||
| from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver | ||
| from paddle.vision.models import LeNet | ||
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| quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9) | ||
| q_config = QuantConfig(activation=quanter, weight=quanter) | ||
| qat = QAT(q_config) | ||
| model = LeNet() | ||
| quant_model = qat.quantize(model) | ||
| print(quant_model) | ||
| >>> from paddle.quantization import QAT, QuantConfig | ||
| >>> from paddle.quantization.quanters import FakeQuanterWithAbsMaxObserver | ||
| >>> from paddle.vision.models import LeNet | ||
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|
||
| >>> quanter = FakeQuanterWithAbsMaxObserver(moving_rate=0.9) | ||
| >>> q_config = QuantConfig(activation=quanter, weight=quanter) | ||
| >>> qat = QAT(q_config) | ||
| >>> model = LeNet() | ||
| >>> quant_model = qat.quantize(model) | ||
| >>> print(quant_model) | ||
| LeNet( | ||
| (features): Sequential( | ||
| (0): QuantedConv2D( | ||
| (weight_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| (activation_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| ) | ||
| (1): ObserveWrapper( | ||
| (_observer): FakeQuanterWithAbsMaxObserverLayer() | ||
| (_observed): ReLU() | ||
| ) | ||
| (2): ObserveWrapper( | ||
| (_observer): FakeQuanterWithAbsMaxObserverLayer() | ||
| (_observed): MaxPool2D(kernel_size=2, stride=2, padding=0) | ||
| ) | ||
| (3): QuantedConv2D( | ||
| (weight_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| (activation_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| ) | ||
| (4): ObserveWrapper( | ||
| (_observer): FakeQuanterWithAbsMaxObserverLayer() | ||
| (_observed): ReLU() | ||
| ) | ||
| (5): ObserveWrapper( | ||
| (_observer): FakeQuanterWithAbsMaxObserverLayer() | ||
| (_observed): MaxPool2D(kernel_size=2, stride=2, padding=0) | ||
| ) | ||
| ) | ||
| (fc): Sequential( | ||
| (0): QuantedLinear( | ||
| (weight_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| (activation_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| ) | ||
| (1): QuantedLinear( | ||
| (weight_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| (activation_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| ) | ||
| (2): QuantedLinear( | ||
| (weight_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| (activation_quanter): FakeQuanterWithAbsMaxObserverLayer() | ||
| ) | ||
| ) | ||
| ) |
BeingGod
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Sep 9, 2023
…n/paddle/quantization/qat.py (PaddlePaddle#56233) * [xdoctest][task 122] test=docs_preview * test=document_fix * fix indent --------- Co-authored-by: SigureMo <sigure.qaq@gmail.com>
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对应tracking issue: #55629
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