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ORT 1.25.1 release: version bump and cherry-pick #27907 #28148

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8a4519a
Bump version to 1.25.1
vraspar Apr 21, 2026
9581b23
Add LinearAttention and CausalConvState ops for Qwen3.5 (#27907)
apsonawane Apr 7, 2026
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2 changes: 1 addition & 1 deletion VERSION_NUMBER
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@@ -1 +1 @@
1.25.0
1.25.1
4 changes: 4 additions & 0 deletions docs/OperatorKernels.md
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Expand Up @@ -564,6 +564,7 @@ Do not modify directly.*
|BiasGelu|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(float)|
|BifurcationDetector|*in* src_tokens:**T**<br> *in* cur_tokens:**T**<br> *in* prev_suffix_match_idx:**T**<br> *in* pred_tokens:**T**<br> *out* tokens:**T**<br> *out* suffix_match_idx:**T**|1+|**T** = tensor(int64)|
|CDist|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(double), tensor(float)|
|CausalConvWithState|*in* input:**T**<br> *in* weight:**T**<br> *in* bias:**T**<br> *in* past_state:**T**<br> *out* output:**T**<br> *out* present_state:**T**|1+|**T** = tensor(float)|
|ConvTransposeWithDynamicPads|*in* X:**T**<br> *in* W:**T**<br> *in* Pads:**tensor(int64)**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
|CropAndResize|*in* X:**T1**<br> *in* rois:**T1**<br> *in* batch_indices:**T2**<br> *in* crop_size:**T2**<br> *out* Y:**T1**|1+|**T1** = tensor(float)<br/> **T2** = tensor(int32)|
|DecoderMaskedMultiHeadAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* mask_index:**M**<br> *in* attention_bias:**T**<br> *in* past_key:**T**<br> *in* past_value:**T**<br> *in* past_sequence_length:**M**<br> *in* beam_width:**M**<br> *in* cache_indirection:**M**<br> *in* bias:**T**<br> *out* output:**T**<br> *out* present_key:**T**<br> *out* present_value:**T**<br> *out* qk:**QK**|1+|**T** = tensor(float)|
Expand All @@ -584,6 +585,7 @@ Do not modify directly.*
|GridSample|*in* X:**T1**<br> *in* Grid:**T1**<br> *out* Y:**T2**|1+|**T1** = tensor(float)<br/> **T2** = tensor(float)|
|GroupQueryAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_key:**T_CACHE**<br> *in* past_value:**T_CACHE**<br> *in* seqlens_k:**M**<br> *in* total_sequence_length:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *in* position_ids:**tensor(int64)**<br> *in* attention_bias:**T**<br> *in* head_sink:**T**<br> *in* k_scale:**T_KV_SCALE**<br> *in* v_scale:**T_KV_SCALE**<br> *out* output:**T**<br> *out* present_key:**T_CACHE**<br> *out* present_value:**T_CACHE**<br> *out* output_qk:**T**|1+|**M** = tensor(int32)<br/> **T** = tensor(float), tensor(float16)|
|Inverse|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
|LinearAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_state:**S**<br> *in* decay:**T**<br> *in* beta:**T**<br> *out* output:**T**<br> *out* present_state:**S**|1+|**T** = tensor(float)|
|MatMulBnb4|*in* A:**T1**<br> *in* B:**T2**<br> *in* absmax:**T1**<br> *out* Y:**T1**|1+|**T1** = tensor(float)<br/> **T2** = tensor(uint8)|
|MatMulFpQ4|*in* A:**T1**<br> *in* B:**T2**<br> *in* B_shape:**T3**<br> *out* Y:**T1**|1+|**T1** = tensor(float)<br/> **T2** = tensor(uint8)<br/> **T3** = tensor(int64)|
|MatMulInteger16|*in* A:**T1**<br> *in* B:**T2**<br> *out* Y:**T3**|1+|**T1** = tensor(int16)<br/> **T2** = tensor(int16)<br/> **T3** = tensor(int32)|
Expand Down Expand Up @@ -1031,6 +1033,7 @@ Do not modify directly.*
|BiasSplitGelu|*in* X:**T**<br> *in* bias:**T**<br> *out* Y:**T**|1+|**T** = tensor(float), tensor(float16)|
|BitmaskBiasDropout|*in* data:**T**<br> *in* bias:**T**<br> *in* residual:**T**<br> *in* ratio:**T1**<br> *in* training_mode:**T2**<br> *out* output:**T**<br> *out* mask:**T3**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)<br/> **T3** = tensor(uint32)|
|BitmaskDropout|*in* data:**T**<br> *in* ratio:**T1**<br> *in* training_mode:**T2**<br> *out* output:**T**<br> *out* mask:**T3**|1+|**T** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T1** = tensor(bfloat16), tensor(double), tensor(float), tensor(float16)<br/> **T2** = tensor(bool)<br/> **T3** = tensor(uint32)|
|CausalConvWithState|*in* input:**T**<br> *in* weight:**T**<br> *in* bias:**T**<br> *in* past_state:**T**<br> *out* output:**T**<br> *out* present_state:**T**|1+|**T** = tensor(float), tensor(float16)|
|ComplexMul|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(float), tensor(float16)|
|ComplexMulConj|*in* A:**T**<br> *in* B:**T**<br> *out* C:**T**|1+|**T** = tensor(float), tensor(float16)|
|ConvTransposeWithDynamicPads|*in* X:**T**<br> *in* W:**T**<br> *in* Pads:**tensor(int64)**<br> *in* B:**T**<br> *out* Y:**T**|1+|**T** = tensor(float)|
Expand All @@ -1055,6 +1058,7 @@ Do not modify directly.*
|GroupQueryAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_key:**T_CACHE**<br> *in* past_value:**T_CACHE**<br> *in* seqlens_k:**M**<br> *in* total_sequence_length:**M**<br> *in* cos_cache:**T**<br> *in* sin_cache:**T**<br> *in* position_ids:**tensor(int64)**<br> *in* attention_bias:**T**<br> *in* head_sink:**T**<br> *in* k_scale:**T_KV_SCALE**<br> *in* v_scale:**T_KV_SCALE**<br> *out* output:**T**<br> *out* present_key:**T_CACHE**<br> *out* present_value:**T_CACHE**<br> *out* output_qk:**T**|1+|**M** = tensor(int32)<br/> **T** = tensor(bfloat16), tensor(float16)<br/> **T_CACHE** = tensor(bfloat16), tensor(float16), tensor(float8e4m3fn), tensor(int8)<br/> **T_KV_SCALE** = tensor(float)|
|Inverse|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
|Irfft|*in* X:**T**<br> *out* Y:**T**|1+|**T** = tensor(double), tensor(float), tensor(float16)|
|LinearAttention|*in* query:**T**<br> *in* key:**T**<br> *in* value:**T**<br> *in* past_state:**S**<br> *in* decay:**T**<br> *in* beta:**T**<br> *out* output:**T**<br> *out* present_state:**S**|1+|**T** = tensor(float), tensor(float16)|
|LongformerAttention|*in* input:**T**<br> *in* weight:**T**<br> *in* bias:**T**<br> *in* mask:**T**<br> *in* global_weight:**T**<br> *in* global_bias:**T**<br> *in* global:**G**<br> *out* output:**T**|1+|**T** = tensor(float), tensor(float16)|
|MatMulBnb4|*in* A:**T1**<br> *in* B:**T2**<br> *in* absmax:**T1**<br> *out* Y:**T1**|1+|**T1** = tensor(bfloat16), tensor(float), tensor(float16)<br/> **T2** = tensor(uint8)|
|MatMulNBits|*in* A:**T1**<br> *in* B:**T2**<br> *in* scales:**T1**<br> *in* zero_points:**T3**<br> *in* g_idx:**T4**<br> *in* bias:**T1**<br> *out* Y:**T1**|1+|**T1** = tensor(bfloat16), tensor(float), tensor(float16)<br/> **T2** = tensor(uint8)<br/> **T3** = tensor(bfloat16), tensor(float), tensor(float16), tensor(uint8)|
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5 changes: 5 additions & 0 deletions docs/python/README.rst
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Expand Up @@ -8,6 +8,11 @@ For more information on ONNX Runtime, please see `aka.ms/onnxruntime <https://ak
Changes
-------

1.25.1
^^^^^^

Release Notes : https://github.com/Microsoft/onnxruntime/releases/tag/v1.25.1

1.25.0
^^^^^^

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2 changes: 1 addition & 1 deletion js/common/lib/version.ts
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Expand Up @@ -4,4 +4,4 @@
// This file is generated by /js/scripts/update-version.ts
// Do not modify file content manually.

export const version = '1.25.0';
export const version = '1.25.1';
4 changes: 2 additions & 2 deletions js/common/package-lock.json
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2 changes: 1 addition & 1 deletion js/common/package.json
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Expand Up @@ -2,7 +2,7 @@
"license": "MIT",
"type": "module",
"name": "onnxruntime-common",
"version": "1.25.0",
"version": "1.25.1",
"repository": {
"url": "https://github.com/Microsoft/onnxruntime.git",
"type": "git"
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2 changes: 1 addition & 1 deletion js/node/lib/version.ts
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Expand Up @@ -4,4 +4,4 @@
// This file is generated by /js/scripts/update-version.ts
// Do not modify file content manually.

export const version = '1.25.0';
export const version = '1.25.1';
6 changes: 3 additions & 3 deletions js/node/package-lock.json
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2 changes: 1 addition & 1 deletion js/node/package.json
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Expand Up @@ -11,7 +11,7 @@
6
]
},
"version": "1.25.0",
"version": "1.25.1",
"dependencies": {
"adm-zip": "^0.5.16",
"global-agent": "^4.1.3",
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2 changes: 1 addition & 1 deletion js/node/script/install-metadata-versions.js
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Expand Up @@ -4,4 +4,4 @@
// This file is generated by /js/scripts/update-version.ts
// Do not modify file content manually.

module.exports = { nuget: [{ feed: 'nuget', version: '1.25.0' }] };
module.exports = { nuget: [{ feed: 'nuget', version: '1.25.1' }] };
2 changes: 1 addition & 1 deletion js/react_native/lib/version.ts
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Expand Up @@ -4,4 +4,4 @@
// This file is generated by /js/scripts/update-version.ts
// Do not modify file content manually.

export const version = '1.25.0';
export const version = '1.25.1';
6 changes: 3 additions & 3 deletions js/react_native/package-lock.json
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2 changes: 1 addition & 1 deletion js/react_native/package.json
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Expand Up @@ -37,7 +37,7 @@
"registry": "https://registry.npmjs.org/"
},
"source": "lib/index",
"version": "1.25.0",
"version": "1.25.1",
"main": "dist/commonjs/index",
"homepage": "https://github.com/microsoft/onnxruntime/blob/main/js/react_native/README.md",
"files": [
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2 changes: 1 addition & 1 deletion js/web/lib/version.ts
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Expand Up @@ -4,4 +4,4 @@
// This file is generated by /js/scripts/update-version.ts
// Do not modify file content manually.

export const version = '1.25.0';
export const version = '1.25.1';
6 changes: 3 additions & 3 deletions js/web/package-lock.json
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2 changes: 1 addition & 1 deletion js/web/package.json
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Expand Up @@ -7,7 +7,7 @@
"type": "git"
},
"author": "fs-eire",
"version": "1.25.0",
"version": "1.25.1",
"jsdelivr": "dist/ort.min.js",
"dependencies": {
"flatbuffers": "^25.1.24",
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2 changes: 1 addition & 1 deletion onnxruntime/__init__.py
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Expand Up @@ -10,7 +10,7 @@

import contextlib

__version__ = "1.25.0"
__version__ = "1.25.1"
__author__ = "Microsoft"

# we need to do device version validation (for example to check Cuda version for an onnxruntime-training package).
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