FakeQuantizePerChannelAffine
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Simulates quantization per channel.

**Abstract Signature:**

``FakeQuantizePerChannelAffine(input: Tensor, scale: Tensor, zero_point: Tensor, axis: int, quant_min: int, quant_max: int)``

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        <div id="PyTorch_0" class="op-tab-pane active"><h4>PyTorch</h4><div class="op-detail-row"><span class="label">API:</span> <code>torch.fake_quantize_per_channel_affine</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Direct Mapping</span></div><div class="op-detail-row"><a href="https://pytorch.org/docs/stable/generated/torch.fake_quantize_per_channel_affine.html" target="_blank" class="op-doc-link">Official Docs ↗</a></div></div><div id="TensorFlow_1" class="op-tab-pane "><h4>TensorFlow</h4><div class="op-detail-row"><span class="label">API:</span> <code>tf.quantization.fake_quant_with_min_max_vars_per_channel</code></div><div class="op-detail-row"><span class="label">Strategy:</span> <span>Plugin (fake_quant_adapter)</span></div></div> 
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