Fix torch seed in cugraph-dgl and -pyg tests for conv layers
#3869
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Fixes https://github.com/rapidsai/graph_dl/issues/325
Recently, a few CI runs (ex. 1, 2) failed when comparing results from cugraph-ops-based conv layers against results from upstream frameworks. The tests pass most of the time, but occasionally fail due to a combination of using a strict tolerance and bad numerics (floating point error). This PR fixes the seed used for generating random feature tensors so that CI behaves consistently across different runs.