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‎latest/_sources/autoapi/neural_compressor/adaptor/mxnet/index.rst.txt

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.. autoapisummary::
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neural_compressor.adaptor.mxnet.MXNetQuery
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:type framework_specific_info: dict
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.. py:class:: MXNetQuery(local_config_file)
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Base class that defines Query Interface.
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Each adaption layer should implement the inherited class for specific backend on their own.
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‎latest/_sources/autoapi/neural_compressor/adaptor/onnxrt/index.rst.txt

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neural_compressor.adaptor.onnxrt.ONNXRT_QLinearOpsAdaptor
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neural_compressor.adaptor.onnxrt.ONNXRT_IntegerOpsAdaptor
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neural_compressor.adaptor.onnxrt.ONNXRT_QDQAdaptor
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neural_compressor.adaptor.onnxrt.ONNXRTQuery
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:type framework_specific_info: dict
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.. py:class:: ONNXRTQuery(dynamic=False, static=False, format=None, local_config_file=None)
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Base class that defines Query Interface.
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Each adaption layer should implement the inherited class for specific backend on their own.
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‎latest/_sources/autoapi/neural_compressor/adaptor/tf_utils/quantize_graph/quantize_graph_concatv2/index.rst.txt

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.. py:class:: FuseNodeStartWithConcatV2(**kwargs)
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.. py:class:: FuseNodeStartWithConcatV2
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‎latest/_sources/autoapi/neural_compressor/compression/pruner/pruners/basic/index.rst.txt

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A Reg object that defines regulization terms.
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.. py:class:: KerasBasicPruner(config, modules)
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.. py:class:: KerasBasicPruner
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‎latest/_sources/autoapi/neural_compressor/data/dataloaders/mxnet_dataloader/index.rst.txt

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.. py:class:: MXNetDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: MXNetDataLoader
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‎latest/_sources/autoapi/neural_compressor/data/dataloaders/onnxrt_dataloader/index.rst.txt

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.. py:class:: ONNXRTBertDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: ONNXRTBertDataLoader
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Built-in dataloader for onnx bert model and its variants.
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.. py:class:: ONNXRTDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: ONNXRTDataLoader
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‎latest/_sources/autoapi/neural_compressor/data/dataloaders/tensorflow_dataloader/index.rst.txt

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:param batch_size: int. batch size
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.. py:class:: TensorflowBertDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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this dataloader is designed to satisfy the usage of Bert models.
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.. py:class:: TensorflowModelZooBertDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: TensorflowModelZooBertDataLoader
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‎latest/_sources/autoapi/neural_compressor/experimental/data/dataloaders/mxnet_dataloader/index.rst.txt

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.. py:class:: MXNetDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: MXNetDataLoader
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‎latest/_sources/autoapi/neural_compressor/experimental/data/dataloaders/onnxrt_dataloader/index.rst.txt

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.. py:class:: ONNXRTBertDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: ONNXRTDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: ONNXRTDataLoader
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‎latest/_sources/autoapi/neural_compressor/experimental/data/dataloaders/tensorflow_dataloader/index.rst.txt

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.. py:class:: TensorflowBertDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: TensorflowModelZooBertDataLoader(dataset, batch_size=1, last_batch='rollover', collate_fn=None, sampler=None, batch_sampler=None, num_workers=0, pin_memory=False, shuffle=False, distributed=False)
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.. py:class:: TensorflowModelZooBertDataLoader
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‎latest/_sources/autoapi/neural_compressor/experimental/strategy/basic/index.rst.txt

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.. py:class:: BasicTuneStrategy(model, conf, q_dataloader=None, q_func=None, eval_dataloader=None, eval_func=None, resume=None, q_hooks=None)
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.. py:class:: BasicTuneStrategy
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‎latest/_sources/autoapi/neural_compressor/experimental/strategy/exhaustive/index.rst.txt

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.. py:class:: ExhaustiveTuneStrategy
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.. py:class:: ExhaustiveTuneStrategy(model, conf, q_dataloader=None, q_func=None, eval_dataloader=None, eval_func=None, resume=None, q_hooks=None)
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‎latest/_sources/autoapi/neural_compressor/experimental/strategy/random/index.rst.txt

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.. py:class:: RandomTuneStrategy
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.. py:class:: RandomTuneStrategy(model, conf, q_dataloader=None, q_func=None, eval_dataloader=None, eval_func=None, resume=None, q_hooks=None)
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.. py:class:: BasicTuneStrategy(model, conf, q_dataloader=None, q_func=None, eval_func=None, eval_dataloader=None, eval_metric=None, resume=None, q_hooks=None)
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.. py:class:: BasicTuneStrategy
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‎latest/_sources/autoapi/neural_compressor/strategy/exhaustive/index.rst.txt

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.. py:class:: ExhaustiveTuneStrategy
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.. py:class:: ExhaustiveTuneStrategy(model, conf, q_dataloader=None, q_func=None, eval_func=None, eval_dataloader=None, eval_metric=None, resume=None, q_hooks=None)
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‎latest/_sources/autoapi/neural_compressor/strategy/random/index.rst.txt

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.. py:class:: RandomTuneStrategy(model, conf, q_dataloader=None, q_func=None, eval_func=None, eval_dataloader=None, eval_metric=None, resume=None, q_hooks=None)
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‎latest/_sources/autoapi/neural_compressor/torch/quantization/config/index.rst.txt

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:returns: the default gptq config.
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.. py:class:: HQQConfig(bits: int = 4, group_size: int = 64, quant_zero: bool = True, quant_scale: bool = False, scale_quant_group_size: int = 128, skip_lm_head: bool = True, white_list: Optional[List[neural_compressor.common.utils.OP_NAME_OR_MODULE_TYPE]] = DEFAULT_WHITE_LIST)
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‎latest/autoapi/neural_compressor/adaptor/adaptor/index.html

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‎latest/autoapi/neural_compressor/adaptor/keras/index.html

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‎latest/autoapi/neural_compressor/adaptor/mxnet/index.html

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<td><p>The MXNet adaptor layer, do MXNet quantization, calibration, inspect layer tensors.</p></td>
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<tr class="row-even"><td><p><a class="reference internal" href="#neural_compressor.adaptor.mxnet.MXNetQuery" title="neural_compressor.adaptor.mxnet.MXNetQuery"><code class="xref py py-obj docutils literal notranslate"><span class="pre">MXNetQuery</span></code></a></p></td>
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<td><p>Base class that defines Query Interface.</p></td>
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<dt class="sig sig-object py" id="neural_compressor.adaptor.mxnet.MXNetQuery">
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">neural_compressor.adaptor.mxnet.</span></span><span class="sig-name descname"><span class="pre">MXNetQuery</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">local_config_file</span></span></em><span class="sig-paren">)</span><a class="reference external" href="https://github.com/intel/neural-compressor/blob/master/neural_compressor/adaptor/mxnet.py"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#neural_compressor.adaptor.mxnet.MXNetQuery" title="Permalink to this definition"></a></dt>
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<dd><p>Base class that defines Query Interface.</p>
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<p>Each adaption layer should implement the inherited class for specific backend on their own.</p>
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</dd></dl>
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