Pratham Ingawale

I am Facing this Error:- /home/pratham/Desktop/openvino/src/frontends/onnx/frontend/src/op/multinomial.cpp: In function ‘ov::OutputVector ov::frontend::onnx::op::set_1::multinomial(const ov::frontend::onnx::Node&)’: /home/pratham/Desktop/openvino/src/frontends/onnx/frontend/src/op/multinomial.cpp:33:44: error: ‘class ov::descriptor::Tensor’ has no member named ‘data’ 33 | auto data_ptr = input.get_tensor().data(); | ^~~~ /home/pratham/Desktop/openvino/src/frontends/onnx/frontend/src/op/multinomial.cpp:33:49: error:...

> Hello @PRATHAM-SPS, thank you for this contribution! > > I agree with the @gkrivor previous comments. Added few more. The final solution should be similar to the [RandomUniform](https://github.com/openvinotoolkit/openvino/blob/3d45a644969454d09c3f7e97ea60cbbd8abb0740/src/frontends/onnx/frontend/src/op/random_uniform.cpp#L20). >...

@gkrivor and @mitruska , could you take a look at the code and tell me if I'm on the right track?

> @PRATHAM-SPS do you have any updates here? seems we are about to cross the finish line with it Hey @andrei-kochin , I'll get to it in 3 to 4...

> @PRATHAM-SPS any news for us? I've made some slight adjustments based on feedback, and now I'm testing it out on my end.

> @PRATHAM-SPS I suggest to modify tests and verify only output shapes. But you need to make input parameters slightly more complicated because: Output tensor with shape [batch_size, sample_size] >...