Jiajie Hu acba63c36a [js/webgpu] Change A/sqrt(B) to A*inverseSqrt(B) in normalization ops (#19101) ... ### Description Change `A / sqrt(B)` to `A * inverseSqrt(B)` in BatchNormalization, InstanceNormalization, LayerNormalization and SkipLayerNormalization. ### Motivation and Context For the same reason as the existence of the `inverseSqrt` built-in in WebGPU spec.		2024-01-12 00:08:16 -08:00
..
3rd-party	[js/webgpu] Fix f16 errors for ConvTranspose2D (#18986)	2024-01-04 08:06:01 -08:00
argminmax.ts	[JS/Web] Added uniforms to Reduce, Resize and Split Ops. (#18727)	2023-12-12 11:12:23 -08:00
attention.ts	[js/webgpu] Support uniforms for attention and multihead attention (#18903)	2024-01-09 07:46:30 -08:00
batch-norm.ts	[js/webgpu] Change A/sqrt(B) to A*inverseSqrt(B) in normalization ops (#19101)	2024-01-12 00:08:16 -08:00
bias-add.ts
bias-split-gelu.ts
binary-op.ts
common.ts	[js/webgpu] Support uniforms for attention and multihead attention (#18903)	2024-01-09 07:46:30 -08:00
concat.ts
conv-grouped.ts	[js/webgpu] Provide a vectorized algorithm for GroupedConv (#18884)	2024-01-10 16:12:43 -08:00
conv-transpose.ts	[js/webgpu] Use the naive convTranspose when in/out channels are both 1 (#18658)	2023-12-04 13:18:37 -08:00
conv.ts	[js/webgpu] disable GroupedConvVectorize path (#19090)	2024-01-11 08:13:14 -08:00
cumsum.ts	[JS/Web] Added uniforms to Reduce, Resize and Split Ops. (#18727)	2023-12-12 11:12:23 -08:00
einsum.ts
expand.ts	[js/webgpu] Fix Expand/Gather when input type is bool (#18999)	2024-01-05 08:16:15 -08:00
fuse-utils.ts
gather-elements.ts	[JS/Web] AddedUniforms in GatherElements. (#18670)	2023-12-05 09:19:53 -08:00
gather.ts	[js/webgpu] Fix Expand/Gather when input type is bool (#18999)	2024-01-05 08:16:15 -08:00
gemm.ts	[js/webgpu] Support gemm uniforms (#19056)	2024-01-09 09:57:06 -08:00
instance-norm.ts	[js/webgpu] Change A/sqrt(B) to A*inverseSqrt(B) in normalization ops (#19101)	2024-01-12 00:08:16 -08:00
layer-norm.ts	[js/webgpu] Change A/sqrt(B) to A*inverseSqrt(B) in normalization ops (#19101)	2024-01-12 00:08:16 -08:00
matmul.ts	[js/webgpu] Provide a naive vectorized matmul algorithm (#18758)	2023-12-13 09:03:23 -08:00
multi-head-attentiion.ts	[js/webgpu] Support uniforms for attention and multihead attention (#18903)	2024-01-09 07:46:30 -08:00
pad.ts	[js/webgpu] Support pad uniforms (#19057)	2024-01-09 09:34:56 -08:00
pool.ts	[js/webgpu] Refactor attributes of pool (#18728)	2023-12-26 17:23:52 -08:00
range.ts	[js/webgpu] Support range uniforms (#19055)	2024-01-09 09:33:57 -08:00
reduce-shared.ts	[JS/WebGPU] fix an error in Clip (#18799)	2023-12-19 13:51:01 -08:00
reduce.ts	[JS/Web] Added uniforms to Reduce, Resize and Split Ops. (#18727)	2023-12-12 11:12:23 -08:00
resize.ts	[js/webgpu] Mitigate floating point accuracy issue in Resize (#18956)	2024-01-03 14:15:26 -08:00
skip-layer-norm.ts	[js/webgpu] Change A/sqrt(B) to A*inverseSqrt(B) in normalization ops (#19101)	2024-01-12 00:08:16 -08:00
slice.ts	[JS/Web] Added uniforms to Reduce, Resize and Split Ops. (#18727)	2023-12-12 11:12:23 -08:00
softmax.ts	[JS/WebGPU] fix an error in Clip (#18799)	2023-12-19 13:51:01 -08:00
split.ts	[JS/Web] Added uniforms to Reduce, Resize and Split Ops. (#18727)	2023-12-12 11:12:23 -08:00
tile.ts	[JS/WebGPU] Added uniforms to Tile and Where Ops (#18768)	2023-12-11 20:58:52 -08:00
transpose.ts
unary-op.ts	[JS/WebGPU] fix an error in Clip (#18799)	2023-12-19 13:51:01 -08:00
where.ts	[js/webgpu] fix bcast in where (#19009)	2024-01-11 12:13:24 -08:00