Initialisation du repository de Beta

venv/lib/python3.12/site-packages/onnxruntime/quantization/operators/pooling.py

@@ -0,0 +1,67 @@
+import onnx
+
+from ..quant_utils import TENSOR_NAME_QUANT_SUFFIX, QuantizedValue, QuantizedValueType, attribute_to_kwarg, ms_domain
+from .base_operator import QuantOperatorBase
+
+
+class QLinearPool(QuantOperatorBase):
+    def __init__(self, onnx_quantizer, onnx_node):
+        super().__init__(onnx_quantizer, onnx_node)
+
+    def quantize(self):
+        node = self.node
+
+        # only try to quantize when given quantization parameters for it
+        (
+            data_found,
+            output_scale_name,
+            output_zp_name,
+            _,
+            _,
+        ) = self.quantizer._get_quantization_params(node.output[0])
+
+        # get quantized input tensor names, quantize input if needed
+        (
+            quantized_input_names,
+            input_zero_point_names,
+            input_scale_names,
+            nodes,
+        ) = self.quantizer.quantize_activation(node, [0])
+
+        if not data_found or quantized_input_names is None:
+            return super().quantize()
+
+        # Create an entry for output quantized value.
+        qlinear_output_name = node.output[0] + TENSOR_NAME_QUANT_SUFFIX
+        quantized_output_value = QuantizedValue(
+            node.output[0],
+            qlinear_output_name,
+            output_scale_name,
+            output_zp_name,
+            QuantizedValueType.Input,
+        )
+        self.quantizer.quantized_value_map[node.output[0]] = quantized_output_value
+
+        # Create qlinear pool node for given type (AveragePool, etc)
+        kwargs = {}
+        for attribute in node.attribute:
+            kwargs.update(attribute_to_kwarg(attribute))
+        kwargs["domain"] = ms_domain
+        qlinear_node_name = node.name + "_quant" if node.name else ""
+        qnode = onnx.helper.make_node(
+            "QLinear" + node.op_type,
+            [
+                quantized_input_names[0],
+                input_scale_names[0],
+                input_zero_point_names[0],
+                output_scale_name,
+                output_zp_name,
+            ],
+            [qlinear_output_name],
+            qlinear_node_name,
+            **kwargs,
+        )
+
+        # add all newly created nodes
+        nodes.append(qnode)
+        self.quantizer.new_nodes += nodes