onnxruntime/js/web/test/data/ops
Satya Kumar Jandhyala 544bdd6073
Fix ConvTranspose for certain attribute combinations (#23488)
### Description
Convert output_padding attribute from 1D to 2D convtranspose



### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->
https://github.com/microsoft/onnxruntime/issues/23403
2025-02-05 12:22:47 -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
absr.jsonc
abss.jsonc
acos.jsonc
add.jsonc [js/web] fix suite test list for zero sized tensor (#19638) 2024-02-24 10:09:07 -08:00
add_int32.jsonc
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
asin.jsonc
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
clip.jsonc [js/webgpu] support float16 for Clip (#21584) 2024-08-28 13:19:20 -07:00
concat.jsonc
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 Fix ConvTranspose for certain attribute combinations (#23488) 2025-02-05 12:22:47 -08:00
conv.jsonc Merge web machine pools (#23243) 2025-01-03 13:53:17 -08:00
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
cumsum.jsonc [js/webgpu] Fix shader compilation errors in cumsum (#18779) 2023-12-11 18:11:38 -08:00
depth-to-space.jsonc
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
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
exp.jsonc
expand.jsonc [js/webgpu] Optimize Expand (#22752) 2024-11-12 12:37:19 -08:00
fast-gelu.jsonc [js/webgpu] support customop FastGelu (#19392) 2024-02-06 09:07:31 -08:00
floor.jsonc
fused-conv.jsonc Merge web machine pools (#23243) 2025-01-03 13:53:17 -08:00
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-nd.jsonc [js/webgpu] Add GatherND (#22847) 2024-12-04 09:57:32 -08:00
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
global-average-pool.jsonc [js/webgpu] Support uniforms for pool (#18656) 2023-12-05 07:54:30 -08:00
greater.jsonc
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
image-scaler.jsonc
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
less.jsonc
log.jsonc
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
mul_int32.jsonc
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
not.jsonc
or.jsonc
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
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
relu.jsonc
reshape-int32.jsonc
reshape-pack.jsonc
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
scatternd.jsonc [js/webgpu] Add scatterND (#22755) 2024-11-13 09:13:00 -08:00
shape.jsonc
simplified-layer-norm.jsonc [js/web] fix test runner with optional input/output (#20399) 2024-04-22 12:53:10 -07:00
sin.jsonc
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
sub.jsonc
sub_int32.jsonc
tan.jsonc
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 as reshape when suitable (#22870) 2024-11-18 12:52:48 -08:00
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