quic-sanirudh commented on a change in pull request #9017:
URL: https://github.com/apache/tvm/pull/9017#discussion_r710050405
##########
File path: tests/python/frontend/onnx/test_forward.py
##########
@@ -3056,6 +3056,152 @@ def verify_global_pooling(x_shape, mode):
verify_global_pooling([4, 1, 2, 6, 4], mode)
[email protected]_targets
+def test_qlinear_average_pool(target, dev):
+ def verify_qlinear_average_pool(
+ x_shape, kernel_shape, strides, pads, out_shape, auto_pad="NOTSET"
+ ):
+ input_nodes = [
+ helper.make_tensor_value_info("X", TensorProto.FLOAT,
list(x_shape)),
+ ]
+
+ output_nodes = [
+ helper.make_tensor_value_info("Y", TensorProto.FLOAT,
list(out_shape)),
+ ]
+
+ input_names = ["X"]
+
+ node = helper.make_node(
+ "AveragePool",
Review comment:
Actually it should be the non-quantized names, since we're only creating
the floating point ops. When we quantize the graph, it gets converted to
QLinearAveragePool. I printed the node that gets generated after quantization
to verify, and I got the below output:
```
[node {
input: "X_quantized"
input: "X_scale"
input: "X_zero_point"
input: "Y_scale"
input: "Y_zero_point"
output: "Y_quantized"
op_type: "QLinearAveragePool"
attribute {
name: "auto_pad"
s: "SAME_UPPER"
type: STRING
}
attribute {
name: "kernel_shape"
ints: 3
ints: 3
ints: 3
type: INTS
}
attribute {
name: "strides"
ints: 2
ints: 2
ints: 2
type: INTS
}
domain: "com.microsoft"
}](url)
```
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