Version bump to 0.6.5

[aleozlx]

📌 Description

🔍 "Gated by" PR list

https://github.com/flashinfer-ai/flashinfer/pulls?q=is%3Apr+is%3Aopen+label%3Av0.6.5

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🧪 Tests

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Reviewer Notes

API changes review

$ git diff v0.6.4 | grep -A20 @flashinfer_api                                                                                                                                                                                                                     (version_bump✱)
 @flashinfer_api
 def trtllm_fp8_per_tensor_scale_moe(
@@ -2257,10 +2323,11 @@ def trtllm_fp8_per_tensor_scale_moe(
     routed_scaling_factor: Optional[float],
     use_routing_scales_on_input: bool,
     routing_method_type: int = 0,
+    do_finalize: bool = True,
     enable_pdl: Optional[bool] = None,
     tune_max_num_tokens: int = 8192,
     activation_type: int = ActivationType.Swiglu.value,
-) -> torch.Tensor:
+) -> Union[List[torch.Tensor], torch.Tensor]:
     """FP8 per tensor scale MoE operation.

     Args:
@@ -2282,22 +2349,21 @@ def trtllm_fp8_per_tensor_scale_moe(
         routed_scaling_factor: Scaling factor for routing
         use_routing_scales_on_input: Whether to use routing scales on input
         routing_method_type: Type of routing method to use (default: 0)
+        do_finalize: Whether to finalize the output (default: True).
         enable_pdl: Whether to enable Programmatic Dependent Launch (PDL). Auto-enabled for >= sm90.
--
 @flashinfer_api
 def trtllm_fp8_block_scale_moe(
@@ -2343,10 +2418,11 @@ def trtllm_fp8_block_scale_moe(
     routing_method_type: int = 0,
     use_shuffled_weight: bool = False,
     weight_layout: int = 0,
+    do_finalize: bool = True,
     enable_pdl: Optional[bool] = None,
     tune_max_num_tokens: int = 8192,
     fp8_quantization_type: Fp8QuantizationType = Fp8QuantizationType.DeepSeekFp8,
-) -> torch.Tensor:
+) -> Union[List[torch.Tensor], torch.Tensor]:
     """FP8 block scale MoE operation.

     Args:
@@ -2374,16 +2450,18 @@ def trtllm_fp8_block_scale_moe(
         weight_layout: Weight layout format (default: WeightLayout.MajorK). Supported layouts:
             - 0: MajorK - K-major layout [Mn, K]
             - 2: BlockMajorK - Blocked along K dimension [K/blockK, Mn, blockK]
+        do_finalize: Whether to finalize the output (default: True).
         enable_pdl: Whether to enable Programmatic Dependent Launch (PDL). Auto-enabled for >= sm90.
--
 @flashinfer_api
 def trtllm_fp8_block_scale_routed_moe(
@@ -2433,11 +2520,12 @@ def trtllm_fp8_block_scale_routed_moe(
     routing_method_type: int = 0,
     use_shuffled_weight: bool = False,
     weight_layout: int = 0,
+    do_finalize: bool = True,
     enable_pdl: Optional[bool] = None,
     output: Optional[torch.Tensor] = None,
     tune_max_num_tokens: int = 8192,
     fp8_quantization_type: Fp8QuantizationType = Fp8QuantizationType.DeepSeekFp8,
-) -> torch.Tensor:
+) -> Union[List[torch.Tensor], torch.Tensor]:
     """FP8 block scale MoE operation with pre-computed routing (packed format).

     This function is used when routing decisions have already been computed
@@ -2468,14 +2556,16 @@ def trtllm_fp8_block_scale_routed_moe(
         use_shuffled_weight: Whether to use shuffled weights
         weight_layout: Weight layout (0 = MajorK, 1 = BlockMajorK)
         enable_pdl: Whether to enable Programmatic Dependent Launch (PDL). Auto-enabled for >= sm90.
+        do_finalize: Whether to finalize the output (default: True).
--
 @flashinfer_api
 def trtllm_fp4_block_scale_moe(
@@ -2589,12 +2688,8 @@ def trtllm_fp4_block_scale_moe(
         do_finalize (bool): Whether to finalize the output (default: False)
         enable_pdl (Optional[bool]): Whether to enable Programmatic Dependent Launch (PDL). Auto-enabled for >= sm90.
         activation_type (int): Type of activation function (default: 3 - Swiglu)
-            - 0: Gelu
-            - 1: Relu
-            - 2: Silu
             - 3: Swiglu
             - 4: Geglu
-            - 5: SwigluBias
             - 6: Relu2
             - 7: Identity
         tune_max_num_tokens(int): Maximum number of tokens for tuning. (default: 8192)
@@ -2726,12 +2821,8 @@ def trtllm_fp4_block_scale_routed_moe(
             - 4: RenormalizeNaive (Softmax -> TopK -> Renormalize)
         do_finalize (bool): Whether to finalize the output (default: False)
         activation_type (int): Type of activation function (default: 3 - Swiglu)
-            - 0: Gelu
-            - 1: Relu
--
+@flashinfer_api
+def tinygemm_bf16(
+    input: torch.Tensor,
+    weight: torch.Tensor,
+    out: torch.Tensor,
+    bias: Optional[torch.Tensor] = None,
+    use_pdl: bool = False,
+) -> None:
+    """SM90+ optimized small GEMM: out = input @ weight.T + bias (equivalent to F.linear).
+
+    A latency-optimized, warp-specialized GEMM designed for tiny batch sizes (ideally
+    1-8 rows, where a single TILE_N=8 tile covers the entire batch dimension) using
+    Ampere-style HMMA instructions. Uses TMA for async bulk data loads and
+    mma.sync.aligned.m16n8k16 tensor core instructions with BF16 input/weight/bias/output
+    and FP32 internal accumulation. The warp-specialized design (384 threads: 4 compute +
+    8 DMA warps) with 16 pipeline stages and 4x stage unroll trades off peak throughput
+    in favor of minimal latency.
+
+    From TensorRT-LLM tinygemm2 kernel.
+
+    Args:
--
 @flashinfer_api
@@ -78,6 +99,7 @@ def selective_state_update(
     intermediate_states_buffer: Optional[torch.Tensor] = None,
     intermediate_state_indices: Optional[torch.Tensor] = None,
     cache_steps: int = 0,
+    algorithm: str = "auto",
 ) -> torch.Tensor:
     r"""Selective state update operation for Mamba layers (the generation phase).

@@ -126,6 +148,10 @@ def selective_state_update(
         with shape (batch,)
     cache_steps : int
         Number of steps/tokens to cache for speculative decoding
+    algorithm : str
+        Algorithm to use: "auto" (default, picks the best kernel based on GPU arch,
+        data types, and problem size), "simple" (all GPUs), "vertical" and "horizontal"
+        (SM90+ only). MTP mode only supports "auto" or "simple".

     Returns
     -------
@@ -178,6 +204,30 @@ def selective_state_update(

[gemini-code-assist]

Summary of Changes

Hello, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the project's version number to 0.6.5. This change is a standard procedure for marking a new release or development iteration, ensuring that all components reflect the current state of the codebase and align with release management practices.

Highlights

• Version Update: The project version has been incremented from 0.6.4 to 0.6.5.

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Changelog

• version.txt
  • Updated the version string to 0.6.5.

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[coderabbitai]

📝 Walkthrough

Walkthrough

Version number incremented in version.txt from 0.6.4 to 0.6.5. This is a metadata-only change affecting the project version string with no modifications to source code or functionality.

Changes

Cohort / File(s)	Summary
Version Bump version.txt	Incremented version from 0.6.4 to 0.6.5

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Possibly related PRs

• release: Bump version for v0.5.2 release #2057 — Version bump PR updating version.txt for project release metadata
• bump version to 0.6.4 #2565 — Previous version bump from 0.6.3 to 0.6.4 in version.txt
• release: Bump version for v0.5.0rc1 release; #2008 — Similar version.txt update for sequential project versioning

Suggested labels

run-ci

Suggested reviewers

• yongwww
• yzh119

Poem

🐰 A whisker-twitch bump from point-four to five,
The version marches on, code stays alive!
In version.txt we trust, oh what a delight,
Numbers dance upward, everything's tight! ✨

🚥 Pre-merge checks | ✅ 2 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The PR description is incomplete. The Description section is empty, and Related Issues section only contains a link to a filtered PR list without specific issue references. While checklist items are marked complete, the core description is missing.	Add a clear description of what the version bump includes (API changes, features, bug fixes, etc.). The provided diff shows significant API changes that should be documented in the PR description.

✅ Passed checks (2 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title 'Version bump to 0.6.5' is concise, clear, and directly summarizes the main change—updating the version from 0.6.4 to 0.6.5.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.

_{✏️ Tip: You can configure your own custom pre-merge checks in the settings.}

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[gemini-code-assist]

Code Review

The pull request updates the version number in version.txt from 0.6.4 to 0.6.5. This change is straightforward and aligns with the pull request title and description. No functional code changes were introduced.

[aleozlx]

/bot run

[flashinfer-bot]

GitLab MR !367 has been created, and the CI pipeline #45263242 is currently running. I'll report back once the pipeline job completes.

[flashinfer-bot]

[FAILED] Pipeline #45263242: 8/20 passed

[aleozlx]

tests clean