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509 lines
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22 KiB
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<title>Index — ONNX Runtime 1.14.0 documentation</title>
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<h1 id="index">Index</h1>
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<div class="genindex-jumpbox">
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<a href="#A"><strong>A</strong></a>
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| <a href="#B"><strong>B</strong></a>
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| <a href="#C"><strong>C</strong></a>
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| <a href="#D"><strong>D</strong></a>
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| <a href="#E"><strong>E</strong></a>
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| <a href="#F"><strong>F</strong></a>
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| <a href="#G"><strong>G</strong></a>
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| <a href="#H"><strong>H</strong></a>
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| <a href="#I"><strong>I</strong></a>
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| <a href="#L"><strong>L</strong></a>
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| <a href="#M"><strong>M</strong></a>
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| <a href="#N"><strong>N</strong></a>
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| <a href="#O"><strong>O</strong></a>
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| <a href="#P"><strong>P</strong></a>
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| <a href="#R"><strong>R</strong></a>
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| <a href="#S"><strong>S</strong></a>
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| <a href="#T"><strong>T</strong></a>
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| <a href="#U"><strong>U</strong></a>
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| <a href="#V"><strong>V</strong></a>
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</div>
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<h2 id="A">A</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.add_external_initializers">add_external_initializers() (onnxruntime.SessionOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.add_free_dimension_override_by_denotation">add_free_dimension_override_by_denotation() (onnxruntime.SessionOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.add_free_dimension_override_by_name">add_free_dimension_override_by_name() (onnxruntime.SessionOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.add_initializer">add_initializer() (onnxruntime.SessionOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.RunOptions.add_run_config_entry">add_run_config_entry() (onnxruntime.RunOptions method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.add_session_config_entry">add_session_config_entry() (onnxruntime.SessionOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.as_blocksparse_view">as_blocksparse_view() (onnxruntime.SparseTensor method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.as_coo_view">as_coo_view() (onnxruntime.SparseTensor method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.as_csrc_view">as_csrc_view() (onnxruntime.SparseTensor method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.as_sparse_tensor">as_sparse_tensor() (onnxruntime.OrtValue method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="B">B</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.IOBinding.bind_cpu_input">bind_cpu_input() (onnxruntime.IOBinding method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.IOBinding.bind_input">bind_input() (onnxruntime.IOBinding method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.IOBinding.bind_ortvalue_input">bind_ortvalue_input() (onnxruntime.IOBinding method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.IOBinding.bind_ortvalue_output">bind_ortvalue_output() (onnxruntime.IOBinding method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.IOBinding.bind_output">bind_output() (onnxruntime.IOBinding method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="C">C</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.IOBinding.copy_outputs_to_cpu">copy_outputs_to_cpu() (onnxruntime.IOBinding method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.ModelMetadata.custom_metadata_map">custom_metadata_map (onnxruntime.ModelMetadata property)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="D">D</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.OrtValue.data_ptr">data_ptr() (onnxruntime.OrtValue method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.data_type">data_type() (onnxruntime.OrtValue method)</a>
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<ul>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.data_type">(onnxruntime.SparseTensor method)</a>
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</li>
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</ul></li>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.dense_shape">dense_shape() (onnxruntime.SparseTensor method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.ModelMetadata.description">description (onnxruntime.ModelMetadata property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.device_name">device_name() (onnxruntime.OrtValue method)</a>
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<ul>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.device_name">(onnxruntime.SparseTensor method)</a>
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</li>
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</ul></li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.disable_fallback">disable_fallback() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.ModelMetadata.domain">domain (onnxruntime.ModelMetadata property)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="E">E</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.OrtValue.element_type">element_type() (onnxruntime.OrtValue method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.enable_cpu_mem_arena">enable_cpu_mem_arena (onnxruntime.SessionOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.enable_fallback">enable_fallback() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.enable_mem_pattern">enable_mem_pattern (onnxruntime.SessionOptions property)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.enable_mem_reuse">enable_mem_reuse (onnxruntime.SessionOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.enable_profiling">enable_profiling (onnxruntime.SessionOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.end_profiling">end_profiling() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.execution_mode">execution_mode (onnxruntime.SessionOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.execution_order">execution_order (onnxruntime.SessionOptions property)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="F">F</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.format">format() (onnxruntime.SparseTensor method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="G">G</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_inputs">get_inputs() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_modelmeta">get_modelmeta() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_outputs">get_outputs() (onnxruntime.InferenceSession method)</a>
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<ul>
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<li><a href="api_summary.html#onnxruntime.IOBinding.get_outputs">(onnxruntime.IOBinding method)</a>
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</li>
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</ul></li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_overridable_initializers">get_overridable_initializers() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_profiling_start_time_ns">get_profiling_start_time_ns() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_provider_options">get_provider_options() (onnxruntime.InferenceSession method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_providers">get_providers() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.RunOptions.get_run_config_entry">get_run_config_entry() (onnxruntime.RunOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.get_session_config_entry">get_session_config_entry() (onnxruntime.SessionOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.get_session_options">get_session_options() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.ModelMetadata.graph_description">graph_description (onnxruntime.ModelMetadata property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.ModelMetadata.graph_name">graph_name (onnxruntime.ModelMetadata property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.graph_optimization_level">graph_optimization_level (onnxruntime.SessionOptions property)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="H">H</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.OrtValue.has_value">has_value() (onnxruntime.OrtValue method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="I">I</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.InferenceSession">InferenceSession (class in onnxruntime)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.inter_op_num_threads">inter_op_num_threads (onnxruntime.SessionOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.intra_op_num_threads">intra_op_num_threads (onnxruntime.SessionOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.io_binding">io_binding() (onnxruntime.InferenceSession method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.IOBinding">IOBinding (class in onnxruntime)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.backend.is_compatible">is_compatible() (in module onnxruntime.backend)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.is_sparse_tensor">is_sparse_tensor() (onnxruntime.OrtValue method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.is_tensor">is_tensor() (onnxruntime.OrtValue method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.is_tensor_sequence">is_tensor_sequence() (onnxruntime.OrtValue method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="L">L</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.RunOptions.log_severity_level">log_severity_level (onnxruntime.RunOptions property)</a>
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<ul>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.log_severity_level">(onnxruntime.SessionOptions property)</a>
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</li>
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</ul></li>
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<li><a href="api_summary.html#onnxruntime.RunOptions.log_verbosity_level">log_verbosity_level (onnxruntime.RunOptions property)</a>
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<ul>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.log_verbosity_level">(onnxruntime.SessionOptions property)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.RunOptions.logid">logid (onnxruntime.RunOptions property)</a>
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<ul>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.logid">(onnxruntime.SessionOptions property)</a>
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</li>
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</ul></li>
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</ul></td>
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</tr></table>
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<h2 id="M">M</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.ModelMetadata">ModelMetadata (class in onnxruntime)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="N">N</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.NodeArg.name">name (onnxruntime.NodeArg property)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.NodeArg">NodeArg (class in onnxruntime)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.numpy">numpy() (onnxruntime.OrtValue method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="O">O</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.RunOptions.only_execute_path_to_fetches">only_execute_path_to_fetches (onnxruntime.RunOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.optimized_model_filepath">optimized_model_filepath (onnxruntime.SessionOptions property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.ort_value_from_sparse_tensor">ort_value_from_sparse_tensor() (onnxruntime.OrtValue static method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.OrtDevice">OrtDevice (class in onnxruntime)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue">OrtValue (class in onnxruntime)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.ortvalue_from_numpy">ortvalue_from_numpy() (onnxruntime.OrtValue static method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.ortvalue_from_shape_and_type">ortvalue_from_shape_and_type() (onnxruntime.OrtValue static method)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="P">P</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.backend.prepare">prepare() (in module onnxruntime.backend)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.ModelMetadata.producer_name">producer_name (onnxruntime.ModelMetadata property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.profile_file_prefix">profile_file_prefix (onnxruntime.SessionOptions property)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="R">R</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.SessionOptions.register_custom_ops_library">register_custom_ops_library() (onnxruntime.SessionOptions method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.backend.run">run() (in module onnxruntime.backend)</a>
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<ul>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.run">(onnxruntime.InferenceSession method)</a>
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</li>
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</ul></li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.run_with_iobinding">run_with_iobinding() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.run_with_ort_values">run_with_ort_values() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.run_with_ortvaluevector">run_with_ortvaluevector() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.RunOptions">RunOptions (class in onnxruntime)</a>
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</li>
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</ul></td>
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</tr></table>
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<h2 id="S">S</h2>
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<table style="width: 100%" class="indextable genindextable"><tr>
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<td style="width: 33%; vertical-align: top;"><ul>
|
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<li><a href="api_summary.html#onnxruntime.SessionOptions">SessionOptions (class in onnxruntime)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.InferenceSession.set_providers">set_providers() (onnxruntime.InferenceSession method)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.NodeArg.shape">shape (onnxruntime.NodeArg property)</a>
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</li>
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<li><a href="api_summary.html#onnxruntime.OrtValue.shape">shape() (onnxruntime.OrtValue method)</a>
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</li>
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</ul></td>
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<td style="width: 33%; vertical-align: top;"><ul>
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<li><a href="api_summary.html#onnxruntime.SparseTensor.sparse_coo_from_numpy">sparse_coo_from_numpy() (onnxruntime.SparseTensor static method)</a>
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</li>
|
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<li><a href="api_summary.html#onnxruntime.SparseTensor.sparse_csr_from_numpy">sparse_csr_from_numpy() (onnxruntime.SparseTensor static method)</a>
|
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</li>
|
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<li><a href="api_summary.html#onnxruntime.SparseTensor">SparseTensor (class in onnxruntime)</a>
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</li>
|
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<li><a href="api_summary.html#onnxruntime.backend.supports_device">supports_device() (in module onnxruntime.backend)</a>
|
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</li>
|
|
<li><a href="api_summary.html#onnxruntime.RunOptions.synchronize_execution_providers">synchronize_execution_providers (onnxruntime.RunOptions property)</a>
|
|
</li>
|
|
</ul></td>
|
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</tr></table>
|
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<h2 id="T">T</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="api_summary.html#onnxruntime.RunOptions.terminate">terminate (onnxruntime.RunOptions property)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="api_summary.html#onnxruntime.SparseTensor.to_cuda">to_cuda() (onnxruntime.SparseTensor method)</a>
|
|
</li>
|
|
<li><a href="api_summary.html#onnxruntime.NodeArg.type">type (onnxruntime.NodeArg property)</a>
|
|
</li>
|
|
</ul></td>
|
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</tr></table>
|
|
|
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<h2 id="U">U</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="api_summary.html#onnxruntime.OrtValue.update_inplace">update_inplace() (onnxruntime.OrtValue method)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="api_summary.html#onnxruntime.SessionOptions.use_deterministic_compute">use_deterministic_compute (onnxruntime.SessionOptions property)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
|
|
|
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<h2 id="V">V</h2>
|
|
<table style="width: 100%" class="indextable genindextable"><tr>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="api_summary.html#onnxruntime.SparseTensor.values">values() (onnxruntime.SparseTensor method)</a>
|
|
</li>
|
|
</ul></td>
|
|
<td style="width: 33%; vertical-align: top;"><ul>
|
|
<li><a href="api_summary.html#onnxruntime.ModelMetadata.version">version (onnxruntime.ModelMetadata property)</a>
|
|
</li>
|
|
</ul></td>
|
|
</tr></table>
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