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feat: Asynchronous pipeline creation#2604

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aleksanderkatan wants to merge 32 commits into
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feat/asynchronous-pipeline-creation
Open

feat: Asynchronous pipeline creation#2604
aleksanderkatan wants to merge 32 commits into
mainfrom
feat/asynchronous-pipeline-creation

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@aleksanderkatan

@aleksanderkatan aleksanderkatan commented Jun 12, 2026

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Changes:

  • refactor ComputePipelineCore,
  • add new API for initAsync and initSync,
  • update some examples to use initAsync,
  • add tests, update docs.

The PERF is set to true only in browser tests, which currently do not work.
Also, I think that the measurements are just incorrect.
Still, I opted to leave them as is in a separate class. I tested manually the results before and after on Stable Fluids (7 resolves), and they were similar, so I don't think any logic changed.

@aleksanderkatan aleksanderkatan linked an issue Jun 12, 2026 that may be closed by this pull request
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pkg.pr.new

packages
Ready to be installed by your favorite package manager ⬇️

https://pkg.pr.new/software-mansion/TypeGPU/typegpu@9b0adbbe2e93a34cd9fd7856e7c6e6a9fa79ba97
https://pkg.pr.new/software-mansion/TypeGPU/@typegpu/cli@9b0adbbe2e93a34cd9fd7856e7c6e6a9fa79ba97
https://pkg.pr.new/software-mansion/TypeGPU/@typegpu/noise@9b0adbbe2e93a34cd9fd7856e7c6e6a9fa79ba97
https://pkg.pr.new/software-mansion/TypeGPU/@typegpu/react@9b0adbbe2e93a34cd9fd7856e7c6e6a9fa79ba97
https://pkg.pr.new/software-mansion/TypeGPU/unplugin-typegpu@9b0adbbe2e93a34cd9fd7856e7c6e6a9fa79ba97

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commit
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Bundle size comparison (import * as ... in PR vs import * as ... in target):

🟢 Decreased ➖ Unchanged 🔴 Increased ❔ Unknown
0 299 21 0

import * as ... in PR vs import * as ... in target (did bundle size increase?):

Test tsdown
STATIC_tgpu.ts 263.15 kB ($${\color{red}+0.6\%}$$)
tgpu_fn.ts 263.15 kB ($${\color{red}+0.6\%}$$)
tgpu_init.ts 263.15 kB ($${\color{red}+0.6\%}$$)
tgpu_lazy.ts 263.15 kB ($${\color{red}+0.6\%}$$)
tgpu_slot.ts 263.15 kB ($${\color{red}+0.6\%}$$)
tgpu_const.ts 263.15 kB ($${\color{red}+0.6\%}$$)
tgpu_unroll.ts 263.15 kB ($${\color{red}+0.6\%}$$)
tgpu_resolve.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_accessor.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_comptime.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_vertexFn.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_computeFn.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_fragmentFn.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_privateVar.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_vertexLayout.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_workgroupVar.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_initFromDevice.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_bindGroupLayout.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_mutableAccessor.ts 263.16 kB ($${\color{red}+0.6\%}$$)
tgpu_resolveWithContext.ts 263.17 kB ($${\color{red}+0.6\%}$$)
STATIC_allImports.ts 293.02 kB ($${\color{red}+0.6\%}$$)

import { ... } in PR vs import * as ... in PR (is the library tree-Shakeable?):

Click to reveal the results table (297 entries).
Test tsdown
d_Void.ts 87.36 kB ($${\color{red}+12087.6\%}$$)
d_sampler.ts 87.36 kB ($${\color{red}+11956.6\%}$$)
d_isPtr.ts 87.36 kB ($${\color{red}+11796.0\%}$$)
d_comparisonSampler.ts 87.37 kB ($${\color{red}+11781.8\%}$$)
d_isSizeAttrib.ts 87.37 kB ($${\color{red}+11765.4\%}$$)
d_isWgslArray.ts 87.37 kB ($${\color{red}+11765.3\%}$$)
d_isAlignAttrib.ts 87.37 kB ($${\color{red}+11749.8\%}$$)
d_isWgslStruct.ts 87.37 kB ($${\color{red}+11749.7\%}$$)
d_isAtomic.ts 87.36 kB ($${\color{red}+11749.1\%}$$)
d_isBuiltinAttrib.ts 87.37 kB ($${\color{red}+11718.8\%}$$)
d_isLocationAttrib.ts 87.37 kB ($${\color{red}+11703.3\%}$$)
d_isDecorated.ts 87.37 kB ($${\color{red}+11702.6\%}$$)
d_isInterpolateAttrib.ts 87.38 kB ($${\color{red}+11657.2\%}$$)
d_atomic.ts 87.36 kB ($${\color{red}+11383.8\%}$$)
d_ptrHandle.ts 87.37 kB ($${\color{red}+10412.6\%}$$)
d_ptrUniform.ts 87.37 kB ($${\color{red}+10400.4\%}$$)
d_ptrStorage.ts 87.37 kB ($${\color{red}+10351.3\%}$$)
d_ptrPrivate.ts 87.37 kB ($${\color{red}+10326.9\%}$$)
d_ptrFn.ts 87.36 kB ($${\color{red}+10314.2\%}$$)
d_ptrWorkgroup.ts 87.37 kB ($${\color{red}+10302.9\%}$$)
d_textureExternal.ts 87.37 kB ($${\color{red}+10148.3\%}$$)
d_textureStorage1d.ts 87.37 kB ($${\color{red}+8527.7\%}$$)
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d_textureStorage3d.ts 87.37 kB ($${\color{red}+8527.7\%}$$)
d_textureStorage2dArray.ts 87.38 kB ($${\color{red}+8380.9\%}$$)
d_isDisarray.ts 87.37 kB ($${\color{red}+7754.5\%}$$)
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d_textureDepthCube.ts 87.37 kB ($${\color{red}+550.9\%}$$)
d_texture1d.ts 87.37 kB ($${\color{red}+550.6\%}$$)
d_texture2d.ts 87.37 kB ($${\color{red}+550.6\%}$$)
d_texture3d.ts 87.37 kB ($${\color{red}+550.6\%}$$)
d_textureDepth2dArray.ts 87.38 kB ($${\color{red}+550.3\%}$$)
d_textureCube.ts 87.37 kB ($${\color{red}+550.3\%}$$)
d_textureDepthCubeArray.ts 87.38 kB ($${\color{red}+550.1\%}$$)
d_textureDepthMultisampled2d.ts 87.38 kB ($${\color{red}+550.0\%}$$)
d_texture2dArray.ts 87.37 kB ($${\color{red}+549.8\%}$$)
d_textureCubeArray.ts 87.37 kB ($${\color{red}+549.5\%}$$)
d_textureMultisampled2d.ts 87.38 kB ($${\color{red}+549.4\%}$$)
d_disarrayOf.ts 87.37 kB ($${\color{red}+481.7\%}$$)
d_vec2b.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec2f.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec2h.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec2i.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec2u.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec3b.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec3f.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec3h.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec3i.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec3u.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec4b.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec4f.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec4h.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec4i.ts 87.36 kB ($${\color{red}+350.2\%}$$)
d_vec4u.ts 87.36 kB ($${\color{red}+350.2\%}$$)
std_subgroupAdd.ts 103.10 kB ($${\color{red}+329.9\%}$$)
std_subgroupBroadcastFirst.ts 103.11 kB ($${\color{red}+329.8\%}$$)
std_subgroupExclusiveAdd.ts 103.11 kB ($${\color{red}+329.8\%}$$)
std_subgroupExclusiveMul.ts 103.11 kB ($${\color{red}+329.8\%}$$)
std_subgroupInclusiveAdd.ts 103.11 kB ($${\color{red}+329.8\%}$$)
std_subgroupInclusiveMul.ts 103.11 kB ($${\color{red}+329.8\%}$$)
std_subgroupShuffleDown.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupShuffleXor.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupBroadcast.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupShuffleUp.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupShuffle.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupBallot.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupElect.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupAll.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupAnd.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupAny.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupMax.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupMin.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupMul.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupXor.ts 103.10 kB ($${\color{red}+329.8\%}$$)
std_subgroupOr.ts 103.10 kB ($${\color{red}+329.8\%}$$)
d_formatToWGSLType.ts 87.37 kB ($${\color{red}+318.1\%}$$)
d_uint8.ts 87.36 kB ($${\color{red}+318.0\%}$$)
d_unorm10_10_10_2.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_unorm8x4_bgra.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_float16x2.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_float16x4.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_float32x2.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_float32x3.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_float32x4.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_snorm16x2.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_snorm16x4.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_unorm16x2.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_unorm16x4.ts 87.37 kB ($${\color{red}+317.9\%}$$)
d_sint16x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint16x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint32x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint32x3.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint32x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_snorm8x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_snorm8x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint16x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint16x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint32x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint32x3.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint32x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_unorm8x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_unorm8x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_float16.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_float32.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint8x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint8x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_snorm16.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint8x2.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint8x4.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_unorm16.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint16.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint32.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_snorm8.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint16.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_uint32.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_unorm8.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_sint8.ts 87.36 kB ($${\color{red}+317.9\%}$$)
d_packedFormats.ts 87.37 kB ($${\color{red}+317.5\%}$$)
d_isPackedData.ts 87.37 kB ($${\color{red}+316.7\%}$$)
std_textureDimensions.ts 103.10 kB ($${\color{red}+300.6\%}$$)
std_textureGather.ts 103.10 kB ($${\color{red}+300.6\%}$$)
std_textureSampleBaseClampToEdge.ts 103.11 kB ($${\color{red}+300.5\%}$$)
std_textureSampleCompareLevel.ts 103.11 kB ($${\color{red}+300.5\%}$$)
std_textureSampleCompare.ts 103.11 kB ($${\color{red}+300.5\%}$$)
std_textureSampleLevel.ts 103.10 kB ($${\color{red}+300.5\%}$$)
std_textureSampleBias.ts 103.10 kB ($${\color{red}+300.5\%}$$)
std_textureSampleGrad.ts 103.10 kB ($${\color{red}+300.5\%}$$)
std_textureSample.ts 103.10 kB ($${\color{red}+300.5\%}$$)
std_textureStore.ts 103.10 kB ($${\color{red}+300.5\%}$$)
std_textureLoad.ts 103.10 kB ($${\color{red}+300.5\%}$$)
d_alignmentOf.ts 87.37 kB ($${\color{red}+299.8\%}$$)
std_translation4.ts 103.10 kB ($${\color{red}+282.0\%}$$)
std_rotationX4.ts 103.10 kB ($${\color{red}+282.0\%}$$)
std_rotationY4.ts 103.10 kB ($${\color{red}+282.0\%}$$)
std_rotationZ4.ts 103.10 kB ($${\color{red}+282.0\%}$$)
std_identity2.ts 103.09 kB ($${\color{red}+282.0\%}$$)
std_identity3.ts 103.09 kB ($${\color{red}+282.0\%}$$)
std_identity4.ts 103.09 kB ($${\color{red}+282.0\%}$$)
std_scaling4.ts 103.09 kB ($${\color{red}+282.0\%}$$)
d_isBuiltin.ts 87.37 kB ($${\color{red}+255.5\%}$$)
d_sizeOf.ts 87.36 kB ($${\color{red}+254.8\%}$$)
d_isContiguous.ts 87.37 kB ($${\color{red}+254.7\%}$$)
d_getLongestContiguousPrefix.ts 87.38 kB ($${\color{red}+254.6\%}$$)
d_arrayOf.ts 87.36 kB ($${\color{red}+233.8\%}$$)
d_size.ts 87.36 kB ($${\color{red}+232.0\%}$$)
d_align.ts 87.36 kB ($${\color{red}+232.0\%}$$)
d_location.ts 87.36 kB ($${\color{red}+232.0\%}$$)
d_interpolate.ts 87.37 kB ($${\color{red}+232.0\%}$$)
d_invariant.ts 87.37 kB ($${\color{red}+227.4\%}$$)
d_mat4x4f.ts 87.36 kB ($${\color{red}+223.7\%}$$)
d_mat2x2f.ts 87.36 kB ($${\color{red}+223.7\%}$$)
d_mat3x3f.ts 87.36 kB ($${\color{red}+223.7\%}$$)
d_matToArray.ts 87.37 kB ($${\color{red}+222.1\%}$$)
d_builtin.ts 87.36 kB ($${\color{red}+205.1\%}$$)
std_unpack2x16float.ts 103.10 kB ($${\color{red}+186.8\%}$$)
std_unpack4x8unorm.ts 103.10 kB ($${\color{red}+186.8\%}$$)
std_pack2x16float.ts 103.10 kB ($${\color{red}+186.8\%}$$)
std_pack4x8unorm.ts 103.10 kB ($${\color{red}+186.8\%}$$)
std_bitcastU32toF32.ts 103.10 kB ($${\color{red}+133.3\%}$$)
std_bitcastU32toI32.ts 103.10 kB ($${\color{red}+133.3\%}$$)
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std_bitShiftLeft.ts 103.10 kB ($${\color{red}+113.2\%}$$)
std_add.ts 103.09 kB ($${\color{red}+113.1\%}$$)
std_div.ts 103.09 kB ($${\color{red}+113.1\%}$$)
std_mod.ts 103.09 kB ($${\color{red}+113.1\%}$$)
std_mul.ts 103.09 kB ($${\color{red}+113.1\%}$$)
std_sub.ts 103.09 kB ($${\color{red}+113.1\%}$$)
std_translate4.ts 103.10 kB ($${\color{red}+109.9\%}$$)
std_rotateX4.ts 103.09 kB ($${\color{red}+109.9\%}$$)
std_scale4.ts 103.09 kB ($${\color{red}+109.9\%}$$)
std_rotateY4.ts 103.09 kB ($${\color{red}+109.8\%}$$)
std_rotateZ4.ts 103.09 kB ($${\color{red}+109.8\%}$$)
d_memoryLayoutOf.ts 87.37 kB ($${\color{red}+108.3\%}$$)
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std_length.ts 103.09 kB ($${\color{red}+56.2\%}$$)
std_countTrailingZeros.ts 103.10 kB ($${\color{red}+56.2\%}$$)
std_distance.ts 103.09 kB ($${\color{red}+56.2\%}$$)
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std_quantizeToF16.ts 103.10 kB ($${\color{red}+56.2\%}$$)
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std_extractBits.ts 103.10 kB ($${\color{red}+56.2\%}$$)
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@aleksanderkatan aleksanderkatan force-pushed the feat/asynchronous-pipeline-creation branch from 9fe9b72 to de777f1 Compare June 12, 2026 15:49
@aleksanderkatan aleksanderkatan marked this pull request as ready for review June 12, 2026 15:50
Copilot AI review requested due to automatic review settings June 12, 2026 15:50

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Pull request overview

This PR introduces explicit pipeline initialization APIs for compute pipelines, enabling asynchronous compilation to reduce first-dispatch stalls, and updates docs/examples/tests to exercise the new behavior.

Changes:

  • Refactors ComputePipelineCore and adds initAsync() / initSync() to compute pipelines.
  • Updates multiple docs examples to eagerly initialize compute pipelines (primarily via initAsync()).
  • Adds unit tests and updates docs/example snapshots to reflect the new initialization flow.

Reviewed changes

Copilot reviewed 13 out of 13 changed files in this pull request and generated 1 comment.

Show a summary per file
File Description
packages/typegpu/src/core/pipeline/computePipeline.ts Adds initAsync/initSync, refactors memoization/initialization flow, and moves perf tracking into a helper.
packages/typegpu/tests/pipelineInit.test.ts Adds tests covering sync/async initialization, caching, and unwrap behavior during async init.
packages/typegpu-testing-utility/src/extendedIt.ts Extends the GPU device mock with createComputePipelineAsync for new tests.
apps/typegpu-docs/src/examples/simulation/stable-fluid/index.ts Eagerly initializes all compute pipelines with initAsync() to avoid first-frame stalls.
apps/typegpu-docs/src/examples/simulation/gravity/index.ts Eagerly initializes compute pipelines with initAsync().
apps/typegpu-docs/src/examples/rendering/function-visualizer/index.ts Eagerly initializes dynamically-created guarded compute pipelines with initAsync().
apps/typegpu-docs/src/examples/image-processing/background-segmentation/index.ts Eagerly initializes guarded compute pipelines via initSync() before use.
apps/typegpu-docs/src/examples/algorithms/mnist-inference/index.ts Eagerly initializes compute pipelines via initAsync() (including optional subgroup pipeline).
apps/typegpu-docs/src/examples/algorithms/matrix-next/index.ts Eagerly initializes both compute strategies via initAsync().
apps/typegpu-docs/tests/individual-example-tests/stable-fluid.test.ts Updates expected shader-module call count and snapshot output.
apps/typegpu-docs/tests/individual-example-tests/mnist-inference.test.ts Updates shader snapshot output ordering/content.
apps/typegpu-docs/tests/individual-example-tests/matrix-next.test.ts Updates expected shader-module call count and snapshot output.
apps/typegpu-docs/src/content/docs/apis/pipelines.mdx Documents pipeline initialization and shows initSync/initAsync usage.

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Comment thread packages/typegpu/src/core/pipeline/computePipeline.ts
Comment thread apps/typegpu-docs/src/content/docs/apis/pipelines.mdx Outdated
Comment on lines +247 to +249
Pipeline initialization involves resolving the pipeline code, creating the shader module, and creating the underlying WebGPU pipeline.
This happens automatically the first time the pipeline is executed via `.draw`, `.dispatchWorkgroups`, or a similar method.
The `initSync` and `initAsync` methods let you perform this work ahead of time, avoiding a stall on first execution.

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I'm missing the explanation of when one should use initSync as opposed to initAsync and vice versa. On the other hand, it's non-trivial to explain it briefly 🤔

Maybe:

Suggested change
Pipeline initialization involves resolving the pipeline code, creating the shader module, and creating the underlying WebGPU pipeline.
This happens automatically the first time the pipeline is executed via `.draw`, `.dispatchWorkgroups`, or a similar method.
The `initSync` and `initAsync` methods let you perform this work ahead of time, avoiding a stall on first execution.
Pipeline initialization involves resolving the pipeline code, creating the shader module, and creating the underlying WebGPU pipeline.
This happens automatically the first time the pipeline is executed via `.draw`, `.dispatchWorkgroups`, or a similar method.
The `initSync` function lets you jump-start that initialization on the WebGPU process early. To await until the initialization actually finishes and avoid a stall on first execution, you can use the `initAsync` function instead.

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I updated this paragraph and added commented snippets, tell me what you think

Comment thread apps/typegpu-docs/src/examples/image-processing/background-segmentation/index.ts Outdated
},
});

await Promise.all([computeCollisionsPipeline.initAsync(), computeGravityPipeline.initAsync()]);

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I'd prewarm these promises early:

Suggested change
await Promise.all([computeCollisionsPipeline.initAsync(), computeGravityPipeline.initAsync()]);
// Initializing all used pipelines
const pipelinePromises = [
computeCollisionsPipeline.initAsync(),
computeGravityPipeline.initAsync(),
skyBoxPipeline.initAsync(),
renderPipeline.initAsync(),
];

And await them right before requesting the first frame:

// Only requesting the first frame after all pipelines have been initialized
await Promise.all(pipelinePromises);
requestAnimationFrame(frame);

On another note, why aren't we preinitializing the render pipelines?

@aleksanderkatan aleksanderkatan Jun 16, 2026

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we aren't because they do not yethave initAsync/initSync methods - as I mentioned, I wanted to wait with them for an initial review so as not to do the same fixes twice

@aleksanderkatan aleksanderkatan changed the title feat: Asynchronous pipeline creation [WIP] feat: Asynchronous pipeline creation Jun 16, 2026

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Looks nice, I like the performance tracking approach

Comment on lines +245 to +250
## Initialization

Pipeline initialization involves resolving the pipeline code, creating the shader module, and creating the underlying WebGPU pipeline.
This happens automatically the first time the pipeline is executed via `.draw`, `.dispatchWorkgroups`, or a similar method.
The `initSync` method lets you start the initialization early.
To wait until initialization actually finishes on the device (fully avoiding a stall on first execution), use `initAsync` instead.

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I would stress here (and especially in the AI Skill) that this is not that important for small/mid sized shaders - only makes sense when you have a bigger application or shaders that are very big or have very many of them) - AI is prone to overusing solutions like those.

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Wouldn't it be better to just not mention it in the skill at all? Can we discuss it in #2650 ?

Comment thread apps/typegpu-docs/src/examples/algorithms/matrix-next/index.ts Outdated
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@pullfrog review

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ℹ️ No critical issues — one docstring typo inline.

Reviewed changes — added explicit initAsync/initSync pipeline initialization for compute and render pipelines, extracted a PerformanceTracker, updated docs/examples, and realigned test snapshots and expected call counts.

  • Added initAsync() and initSync() to TgpuComputePipeline, TgpuRenderPipeline, and TgpuGuardedComputePipeline.
  • Refactored ComputePipelineCore and RenderPipelineCore to share async-init logic through resolveAndCreateShaderModule() and PerformanceTracker.
  • Updated the pipelines docs page and example code to pre-initialize pipelines.
  • Added packages/typegpu/tests/pipelineInit.test.ts and updated example test snapshots/call counts.

Pullfrog  | Fix all ➔Fix 👍s ➔View workflow run | Using Kimi K2 (free via Pullfrog for OSS) | 𝕏

Comment thread packages/typegpu/src/core/pipeline/renderPipeline.ts Outdated
@aleksanderkatan aleksanderkatan changed the title [WIP] feat: Asynchronous pipeline creation feat: Asynchronous pipeline creation Jun 25, 2026
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feat: Add support for asynchronous pipeline creation

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