[Kernel][Model] Varlen prefill + Prefill chunking support for mamba kernels and Jamba model (#8533)
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@@ -273,26 +273,31 @@ TORCH_LIBRARY_EXPAND(TORCH_EXTENSION_NAME, ops) {
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ops.def(
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"selective_scan_fwd(Tensor! u, Tensor! delta,"
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"Tensor! A, Tensor! B, Tensor! C,"
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"Tensor? D_, Tensor? z_, Tensor? delta_bias_,"
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"Tensor? D_, Tensor!? z_, Tensor? delta_bias_,"
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"bool delta_softplus,"
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"Tensor? index_, Tensor!? x) -> Tensor[]");
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"Tensor? query_start_loc,"
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"Tensor? cache_indices,"
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"Tensor? has_initial_state,"
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"Tensor! ssm_states) -> ()");
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ops.impl("selective_scan_fwd", torch::kCUDA, &selective_scan_fwd);
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ops.def(
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"causal_conv1d_update(Tensor! x,"
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"Tensor! conv_state,"
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"Tensor! weight,"
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"Tensor? bias,"
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"Tensor? bias_,"
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"bool silu_activation,"
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"Tensor? cache_seqlens_,"
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"Tensor? conv_state_indices) -> Tensor");
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ops.impl("causal_conv1d_update", torch::kCUDA, &causal_conv1d_update);
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ops.def(
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"causal_conv1d_fwd(Tensor! x, Tensor! weight,"
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"Tensor? bias_,"
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"Tensor? seq_idx_,"
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"Tensor? initial_states_,"
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"Tensor!? final_states_out_,"
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"Tensor!? conv_states,"
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"Tensor? query_start_loc,"
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"Tensor? cache_indices,"
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"Tensor? has_initial_state,"
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"bool silu_activation) -> Tensor");
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ops.impl("causal_conv1d_fwd", torch::kCUDA, &causal_conv1d_fwd);
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#endif
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