[Relax][TensorRT] Add partition_for_tensorrt and a pattern table - #19820
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Add partition_for_tensorrt, which offloads TensorRT-supported subgraphs from a
module with a single call, together with the pattern table whose composite names
("tensorrt.<op>") match the runtime converter registry (the converters landed in
apache#19810). This is the entry point other BYOC backends expose as partition_for_<name>.
Tests: an end-to-end test that partition_for_tensorrt offloads a conv2d -> relu
subgraph and that the result matches the LLVM reference; validated on RTX 2070 and
RTX 5090.
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This pull request introduces the pattern table and partitioning logic for the TensorRT BYOC backend in TVM Relax, including the partition_for_tensorrt function to offload supported subgraphs. It also adds an end-to-end test verifying the partitioning of a conv2d -> relu subgraph. There are no review comments, and I have no feedback to provide.
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MasterJH5574
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Jun 18, 2026
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This pr is the follow-up pr to #19810 Add partition_for_tensorrt, which offloads TensorRT-supported subgraphs from a module with a single call, together with the pattern table whose composite names ("tensorrt.") match the runtime converter registry. This is the entry point other BYOC backends expose as partition_for_.
Tests: an end-to-end test that partition_for_tensorrt offloads a conv2d -> relu subgraph and that the result matches the LLVM reference; validated on local gpu.