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onnxruntime/js/web/test/data/ops
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jzm-intel d9b91682f1
WebGPU JSEP: Make shader code not depend on input broadcasting patterns (#22536) 
This PR make MatMul shaders not depend on inputs broadcasting pattern,
but only depend on input ranks and their shape provided in uniform. This
change fix the issue that currently shaders code are different for
different broadcasting, but have identical cache key and results in
wrong cache hit.
2024-11-08 11:00:51 -08:00
..
_example.jsonc [js/web] allow optional input/output in operator test (#17184) 2023-08-16 11:50:11 -07:00
abs-int32.jsonc [js/webgpu] Include Support for neg.int32 (#17374) 2023-09-06 12:00:16 -07:00
abs.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
absr.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
abss.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
acos.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
add.jsonc [js/web] fix suite test list for zero sized tensor (#19638) 2024-02-24 10:09:07 -08:00
add_int32.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
add_zero-sized.jsonc [js/web] fix suite test list for zero sized tensor (#19638) 2024-02-24 10:09:07 -08:00
and.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
asin.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
attention.jsonc [js/web] JSEP Attention & MultiHeadAttention (#17742) 2023-11-17 12:23:52 -08:00
batch-norm.jsonc [js/webgpu] Add BatchNormalization Op (#18468) 2023-11-22 15:58:06 -08:00
bias-add.jsonc [js/web] BiasSplitGelu and BiasAdd kernels (#17161) 2023-10-03 12:20:20 -07:00
bias-split-gelu.jsonc [js/web] BiasSplitGelu and BiasAdd kernels (#17161) 2023-10-03 12:20:20 -07:00
cast.jsonc [js/webgpu] support Cast operator (#16489) 2023-08-18 23:51:03 -07:00
ceil.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
clip.jsonc [js/webgpu] support float16 for Clip (#21584) 2024-08-28 13:19:20 -07:00
concat.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
concat_int32.jsonc [JS/WebGPU] support Concat.int32 operator (#17003) 2023-09-13 00:05:00 -07:00
concat_zero-sized.jsonc [JS/WebGPU] Preserve zero size input tensor dims. (#19737) 2024-03-07 19:07:49 -08:00
conv-transpose.jsonc [JS/WebGPU] Use non-matmul implementation for ConvTranspose in channel-first case. (#20022) 2024-03-23 11:19:14 -07:00
conv.jsonc [js/webgpu] Optimize grouped conv (#21892) 2024-09-04 17:16:35 -07:00
conv1d.jsonc [js/webgpu] Optimize conv1d by conv2d (#19388) 2024-08-22 22:56:07 -07:00
conv3dncdhw.jsonc [js/webgpu] Support conv3d naive (#20706) 2024-06-19 10:13:50 -07:00
cos.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
cumsum.jsonc [js/webgpu] Fix shader compilation errors in cumsum (#18779) 2023-12-11 18:11:38 -08:00
depth-to-space.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
dequantize-linear-int4.jsonc [JS/WebGPU] Add GatherBlockQuantized op support (#21734) 2024-08-26 14:46:04 -07:00
dequantizelinear.jsonc [JS/WebGPU] Add Dequantizelinear operator (#21642) 2024-08-09 14:44:19 -07:00
div.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
div_int32.jsonc [js/webgpu] Support int32 type for binary (#16901) 2023-08-18 12:19:01 -07:00
einsum.jsonc [JS/Web] Add uniforms to Einsum (#18531) 2023-11-29 15:30:33 -08:00
equal.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
exp.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
expand.jsonc [js/webgpu] Fix Expand/Gather when input type is bool (#18999) 2024-01-05 08:16:15 -08:00
fast-gelu.jsonc [js/webgpu] support customop FastGelu (#19392) 2024-02-06 09:07:31 -08:00
floor.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
fused-conv.jsonc [js/webgpu] Add activation Tanh (#21540) 2024-07-29 11:05:34 -07:00
fused-conv3dncdhw.jsonc [js/webgpu] Add activation for conv3d naive (#21466) 2024-07-29 08:47:41 -07:00
gather-block-quantized.jsonc [JS/WebGPU] Add GatherBlockQuantized op support (#21734) 2024-08-26 14:46:04 -07:00
gather-elements.jsonc [JS/WebGPU] Support GatherElements kernel (#17243) 2023-08-28 09:55:25 -07:00
gather.jsonc [js/webgpu] Fix Expand/Gather when input type is bool (#18999) 2024-01-05 08:16:15 -08:00
gelu.jsonc [js/web] update op test schema (#16921) 2023-08-03 14:20:20 -07:00
gemm.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
global-average-pool.jsonc [js/webgpu] Support uniforms for pool (#18656) 2023-12-05 07:54:30 -08:00
greater.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
group-query-attention.jsonc [JSEP/WebGPU] Fix data causing output mismatch resulting in CI build failures occasionally (#22596) 2024-10-26 01:37:12 -07:00
identity.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
image-scaler.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
instance-norm.jsonc [js/webgpu] Fix NAN caused by un-initialized buffer in instance-norm (#19387) 2024-03-18 22:59:32 -07:00
layer-norm.jsonc [JS/Web] The bias input is optional, not required, for LayerNormalization operator (#17143) 2023-08-16 10:41:20 -07:00
leaky-relu.jsonc [js/webgpu] enable op test for webgpu (#16542) 2023-07-06 08:35:19 -07:00
less.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
log.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
matmul-broadcast.jsonc [js/webgpu] add matmul broadcast tests (#17335) 2023-09-05 20:41:46 -07:00
matmul.jsonc WebGPU JSEP: Make shader code not depend on input broadcasting patterns (#22536) 2024-11-08 11:00:51 -08:00
matmulnbits.jsonc [JS/WebGPU] Improve MatMulNBits perf (#19974) 2024-04-12 11:03:05 -07:00
max-pool.jsonc [js/webgpu] Fix max pool shape end with 0 (#21698) 2024-08-13 20:59:24 -07:00
mul.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
mul_int32.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
multihead-attention.jsonc [JS/WebGPU] Avoid producing presentKey/presentValue outputs if pastKey/pastValue … (#21782) 2024-08-19 18:02:19 -07:00
neg-int32.jsonc [js/webgpu] Include Support for neg.int32 (#17374) 2023-09-06 12:00:16 -07:00
neg.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
not.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
or.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
pad-big.jsonc [js/web] update op test schema (#16921) 2023-08-03 14:20:20 -07:00
pad.jsonc [js/web] update op test schema (#16921) 2023-08-03 14:20:20 -07:00
pad_f16.jsonc [js/webgpu] Enable pad f16 uniform (#21691) 2024-08-26 07:58:48 -07:00
pow-big-number.jsonc [js/web] update op test schema (#16921) 2023-08-03 14:20:20 -07:00
pow.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
pow_int32.jsonc [js/webgpu] Support int32 type for binary (#16901) 2023-08-18 12:19:01 -07:00
quick-gelu.jsonc webgpu quickgelu (#20939) 2024-06-06 08:21:33 -07:00
reduce-min.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
relu.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
reshape-int32.jsonc [js/webgpu] enable op test for webgpu (#16542) 2023-07-06 08:35:19 -07:00
reshape-pack.jsonc [js/web] integrate latest changes from onnxjs (#7535) 2021-05-03 15:03:25 -07:00
reshape.jsonc [js/webgpu] Fix reshape int32 test case (#17113) 2023-08-15 21:18:13 -07:00
resize-pack.jsonc [js/web] update op test schema (#16921) 2023-08-03 14:20:20 -07:00
resize.jsonc [JS/Web] Sajandhy/webgpu resize scales rank check (#18954) 2023-12-29 09:23:27 -08:00
rotary-embedding.jsonc [js/webgpu] Implement com.microsoft.RotaryEmbedding (#20209) 2024-04-08 09:11:26 -07:00
shape.jsonc Adding webgl shape kernel (#7971) 2021-06-08 06:22:45 -07:00
simplified-layer-norm.jsonc [js/web] fix test runner with optional input/output (#20399) 2024-04-22 12:53:10 -07:00
sin.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
skip-layer-norm.jsonc [js/web] fix test runner with optional input/output (#20399) 2024-04-22 12:53:10 -07:00
skip-simplified-layer-norm.jsonc [js/web] fix test runner with optional input/output (#20399) 2024-04-22 12:53:10 -07:00
slice.jsonc [JS/Web]Added uniforms support to Slice op. (#18422) 2023-11-16 09:44:13 -08:00
softmax.jsonc [js/webgpu] Remove the limitation on axis in softmax (#22231) 2024-09-30 18:27:11 -07:00
split.jsonc [js/webgpu] Handle negative axis in op Split (#21771) 2024-08-17 16:41:23 -07:00
sqrt.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
sub.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
sub_int32.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00
tan.jsonc [js] enable formatter for more file types (#16888) 2023-07-28 15:46:58 -07:00
tanh.jsonc [js/webgpu] Fix Tanh explosion (#19201) 2024-01-25 08:25:35 -08:00
tile.jsonc [JS/WebGPU] Support Tile operator (#17123) 2023-08-18 10:07:21 -07:00
transpose.jsonc [js/webgpu] Optimize transpose (#21964) 2024-09-04 12:04:04 -07:00
transpose_int32_uint32.jsonc [js/WebGPU] Support int32 Transpose in WebGPU (#16952) 2023-08-02 16:27:24 -07:00
upsample.jsonc [JS/WebGPU] Add trilinear interpolation to Resize; activation_params attribute is optional for FusedConv also. (#18842) 2023-12-27 16:21:29 -08:00
where.jsonc [JS/WebGPU] Fix Split and Where to handle corner cases. (#19613) 2024-02-23 00:21:15 -08:00
where_broadcast.jsonc [js/webgpu] Support where (#17544) 2023-10-03 14:28:21 -07:00
xor.jsonc [JS] onnxruntime-web (#7394) 2021-04-27 00:04:25 -07:00