cVladu opened a new issue, #12645: URL: https://github.com/apache/tvm/issues/12645
I tried to convert a paddle network containing an AdaptiveAvgPool2D with data_format="NHWC" into relay IR ### Expected behavior The network is correctly converted ### Actual behavior The `frontend.from_paddle` ignores the `data_format` parameter of AdaptiveAvgPool2D ### Environment Operating system: Distributor ID: Ubuntu Description: Ubuntu 18.04.6 LTS Release: 18.04 Codename: bionic TVM version: 0.10.dev0 (commit 3d41ac3a9) Steps to build the TVM were followed from: https://tvm.apache.org/docs/install/from_source.html -- no change to config.cmake file ### Steps to reproduce ``` def test_adaptive_pool(): import paddle class PaddleNet(paddle.nn.Layer): def __init__(self): super(PaddleNet, self).__init__() self.adaptive_pool = paddle.nn.AdaptiveAvgPool2D(output_size=20, data_format="NHWC") @paddle.jit.to_static(input_spec=[paddle.static.InputSpec(shape=(8, 32, 32, 3), dtype=paddle.float32, name="x")]) def forward(self, x): return self.adaptive_pool(x) paddle_net = PaddleNet() import tempfile import os with tempfile.TemporaryDirectory() as tmp_d: paddle.jit.save(paddle_net, os.path.join(tmp_d, "paddle_model")) loaded_net = paddle.jit.load(os.path.join(tmp_d, "paddle_model")) mod, params = relay.frontend.from_paddle(loaded_net) mod = tvm.relay.transform.InferType()(mod) print(mod.astext()) ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
