From 3a56acd30ea0a1168bae1ea8c6dc70b435ea2a9c Mon Sep 17 00:00:00 2001 From: Ryan Harrison Date: Thu, 14 Mar 2024 10:32:54 -0400 Subject: [PATCH] wgsl: Convert all AbstractFloat tests with non-simple errors to using f32 intervals (#3493) A number of existing tests for AF expressions were incorrectly implemented via performing the accuracy calculations as f64. These need to be converted to using the f32 interval calculations, because absolute, ULP, and inherited AF errors should be as accurate as f32. This changes additition, cross, determinant, degrees, division, dot, fma, mix, radians, remainder, and various forms of matrix multiplication. See https://www.w3.org/TR/WGSL/#abstract-float-accuracy for details on why this change is needed. --- src/resources/cache/hashes.json | 186 +++++++++--------- .../shader/execution/binary/af_division.bin | Bin 78840 -> 77496 bytes .../af_matrix_matrix_multiplication.bin | Bin 111192 -> 82608 bytes .../af_matrix_vector_multiplication.bin | Bin 188608 -> 152528 bytes .../shader/execution/binary/af_remainder.bin | Bin 78840 -> 77496 bytes .../cache/webgpu/shader/execution/cross.bin | Bin 922688 -> 829096 bytes .../cache/webgpu/shader/execution/degrees.bin | Bin 21640 -> 18048 bytes .../webgpu/shader/execution/determinant.bin | Bin 10368 -> 9944 bytes .../cache/webgpu/shader/execution/dot.bin | Bin 510736 -> 469272 bytes .../cache/webgpu/shader/execution/fma.bin | Bin 1031288 -> 886720 bytes .../cache/webgpu/shader/execution/mix.bin | Bin 8805016 -> 5817432 bytes .../cache/webgpu/shader/execution/radians.bin | Bin 14696 -> 10992 bytes src/unittests/floating_point.spec.ts | 160 ++------------- .../expression/binary/af_division.cache.ts | 9 +- .../af_matrix_matrix_multiplication.cache.ts | 3 +- .../af_matrix_vector_multiplication.cache.ts | 6 +- .../expression/binary/af_remainder.cache.ts | 9 +- .../expression/call/builtin/cross.cache.ts | 3 +- .../expression/call/builtin/degrees.cache.ts | 3 +- .../call/builtin/determinant.cache.ts | 3 +- .../expression/call/builtin/dot.cache.ts | 3 +- .../expression/call/builtin/fma.cache.ts | 3 +- .../expression/call/builtin/mix.cache.ts | 13 +- .../expression/call/builtin/radians.cache.ts | 5 +- src/webgpu/util/floating_point.ts | 76 ++++--- 25 files changed, 197 insertions(+), 285 deletions(-) diff --git a/src/resources/cache/hashes.json b/src/resources/cache/hashes.json index 6a616d571a9e..1bbb980a95fc 100644 --- a/src/resources/cache/hashes.json +++ b/src/resources/cache/hashes.json @@ -1,110 +1,110 @@ { - "webgpu/shader/execution/binary/af_addition.bin": "24160909", + "webgpu/shader/execution/binary/af_addition.bin": 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z#Qy9kBln5Cz=``rKG0W2?h|>4Gxv%7!&ye|8=>VrF5EXv%X?g8}WaZ&gYx0<#p~da^I_JVwZ^TPKo&zYI&rGjNB*k)9`9yx~DI@oZyd2-V5++dVhNwf|Gi}7K2!G$>JEHAOZY^+;VmQg z#c6ep4?iv=wK`{njNF%`)m8W&mzZyyR#*AT$bGZa21T$xpKqd8$N9;~eIICbBfjq? z<`ebeXc@V0o~g}OyBPcT!nawgQv+q>K2ui;>f&+ydlqYT@mLwTPdzLhrP%iu^BvOa z@E{qv&(vKq+D8WS`9!@xUPkUy+jSnT_`E>Or)YhK5E;2ITkC7!vjpLD)cP8sGIC#@ z)!XCr$bIXzz70Nu5WX+8zRe^Vxo@j_V5Z?aYQpz{)+d@QBlqo48)y%s z`0-5F`chFca-X^kZpp`Y*~EOSv_4q0jNB*sZuowi@QHp~jEvkT`h57#oA8PLUaXAV zC;E!`9-Q!re&Tc)xli;l@mY!RiT-7rjNDhL^-UA`@f7{iL>am7Tdhxv&sfBKuWEhT zBpJEyjMf*%=P$xHN$U&GkdgboR~N#0_-sb_rfGfX6dAcs^u6EXzn|!L&z6z z>4^D6e?3)3?h}3e5BYqepFc-N?i0@u@L7D(ut$E3^1ed0M#2KR~QKTBlfKJnZM-wzbOpLpK1RL1`USI@Mf diff --git a/src/unittests/floating_point.spec.ts b/src/unittests/floating_point.spec.ts index 0c5c32ecd2e3..bf6678f89bf0 100644 --- a/src/unittests/floating_point.spec.ts +++ b/src/unittests/floating_point.spec.ts @@ -22,12 +22,7 @@ import { UnitTest } from './unit_test.js'; export const g = makeTestGroup(UnitTest); -/** - * For ULP purposes, abstract float behaves like f32, so need to swizzle it in - * for expectations. - */ const kFPTraitForULP = { - abstract: 'f32', f32: 'f32', f16: 'f16', } as const; @@ -2856,26 +2851,12 @@ const kDegreesIntervalCases = { { input: kValue.f16.positive.pi.three_quarters, expected: [kMinusOneULPFunctions['f16'](135), 135] }, { input: kValue.f16.positive.pi.whole, expected: [kMinusOneULPFunctions['f16'](180), 180] }, ] as ScalarToIntervalCase[], - abstract: [ - { input: kValue.f64.negative.pi.whole, expected: -180 }, - { input: kValue.f64.negative.pi.three_quarters, expected: -135 }, - { input: kValue.f64.negative.pi.half, expected: -90 }, - { input: kValue.f64.negative.pi.third, expected: kPlusOneULPFunctions['abstract'](-60) }, - { input: kValue.f64.negative.pi.quarter, expected: -45 }, - { input: kValue.f64.negative.pi.sixth, expected: kPlusOneULPFunctions['abstract'](-30) }, - { input: kValue.f64.positive.pi.sixth, expected: kMinusOneULPFunctions['abstract'](30) }, - { input: kValue.f64.positive.pi.quarter, expected: 45 }, - { input: kValue.f64.positive.pi.third, expected: kMinusOneULPFunctions['abstract'](60) }, - { input: kValue.f64.positive.pi.half, expected: 90 }, - { input: kValue.f64.positive.pi.three_quarters, expected: 135 }, - { input: kValue.f64.positive.pi.whole, expected: 180 }, - ] as ScalarToIntervalCase[], } as const; g.test('degreesInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = p.trait; @@ -3501,26 +3482,12 @@ const kRadiansIntervalCases = { { input: 135, expected: [kMinusOneULPFunctions['f16'](kValue.f16.positive.pi.three_quarters), kPlusOneULPFunctions['f16'](kValue.f16.positive.pi.three_quarters)] }, { input: 180, expected: [kMinusOneULPFunctions['f16'](kValue.f16.positive.pi.whole), kPlusOneULPFunctions['f16'](kValue.f16.positive.pi.whole)] }, ] as ScalarToIntervalCase[], - abstract: [ - { input: -180, expected: kValue.f64.negative.pi.whole }, - { input: -135, expected: kValue.f64.negative.pi.three_quarters }, - { input: -90, expected: kValue.f64.negative.pi.half }, - { input: -60, expected: kValue.f64.negative.pi.third }, - { input: -45, expected: kValue.f64.negative.pi.quarter }, - { input: -30, expected: kValue.f64.negative.pi.sixth }, - { input: 30, expected: kValue.f64.positive.pi.sixth }, - { input: 45, expected: kValue.f64.positive.pi.quarter }, - { input: 60, expected: kValue.f64.positive.pi.third }, - { input: 90, expected: kValue.f64.positive.pi.half }, - { input: 135, expected: kValue.f64.positive.pi.three_quarters }, - { input: 180, expected: kValue.f64.positive.pi.whole }, - ] as ScalarToIntervalCase[], } as const; g.test('radiansInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = p.trait; @@ -4392,13 +4359,10 @@ const kDivisionInterval64BitsNormalCases = { g.test('divisionInterval') .params(u => u - .combine('trait', ['abstract', 'f32', 'f16'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { - // This is a ULP based interval, so abstract should behave like f32, so - // swizzling the trait as needed. - const trait = p.trait === 'abstract' ? 'f32' : p.trait; - const fp = FP[trait]; + const fp = FP[p.trait]; const constants = fp.constants(); // prettier-ignore return [ @@ -4415,7 +4379,7 @@ g.test('divisionInterval') { input: [-4, -2], expected: 2 }, // 64-bit normals that can not be exactly represented - ...kDivisionInterval64BitsNormalCases[trait], + ...kDivisionInterval64BitsNormalCases[p.trait], // Denominator out of range { input: [1, constants.positive.infinity], expected: kUnboundedEndpoints }, @@ -4431,10 +4395,7 @@ g.test('divisionInterval') }) ) .fn(t => { - // This is a ULP based interval, so abstract should behave like f32, so - // swizzling the trait as needed for calculating the expected result. - const trait = t.params.trait === 'abstract' ? 'f32' : t.params.trait; - const fp = FP[trait]; + const fp = FP[t.params.trait]; const error = (n: number): number => { return 2.5 * fp.oneULP(n); @@ -4442,7 +4403,6 @@ g.test('divisionInterval') const [x, y] = t.params.input; - // Do not swizzle here, so the correct implementation under test is called. const expected = FP[t.params.trait].toInterval(applyError(t.params.expected, error)); const got = FP[t.params.trait].divisionInterval(x, y); t.expect( @@ -4869,7 +4829,7 @@ const kRemainderCases = { g.test('remainderInterval') .params(u => u - .combine('trait', ['abstract', 'f32', 'f16'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = kFPTraitForULP[p.trait]; @@ -5261,21 +5221,12 @@ const kFmaIntervalCases = { // minimum case: -1 * [subnormal ulp] + -1 * [subnormal ulp] rounded to [-2 * [subnormal ulp], 0], // maximum case: -0.0 + -0.0 = 0. { input: [kValue.f16.positive.subnormal.max, kValue.f16.negative.subnormal.min, kValue.f16.negative.subnormal.max], expected: [-2 * FP['f16'].oneULP(0, 'no-flush'), 0] }, ] as ScalarTripleToIntervalCase[], - abstract: [ - // These operations break down in the CTS, because `number` is a f64 under the hood, so precision is sometimes lost - // if intermediate results are closer to 0 than the smallest subnormal will be precisely 0. - // See https://github.com/gpuweb/cts/issues/2993 for details - { input: [kValue.f64.positive.subnormal.max, kValue.f64.positive.subnormal.max, 0], expected: 0 }, - { input: [kValue.f64.positive.subnormal.max, kValue.f64.positive.subnormal.max, kValue.f64.positive.subnormal.max], expected: [0, kValue.f64.positive.subnormal.max] }, - { input: [kValue.f64.positive.subnormal.max, kValue.f64.positive.subnormal.min, kValue.f64.negative.subnormal.max], expected: [kValue.f64.negative.subnormal.max, 0] }, - { input: [kValue.f64.positive.subnormal.max, kValue.f64.negative.subnormal.min, kValue.f64.negative.subnormal.max], expected: [kValue.f64.negative.subnormal.max, 0] }, - ] as ScalarTripleToIntervalCase[], } as const; g.test('fmaInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = FP[p.trait]; @@ -5390,40 +5341,12 @@ const kMixImpreciseIntervalCases = { { input: [kValue.f16.negative.min, 10.0, 0.5], expected: kUnboundedEndpoints }, { input: [kValue.f16.negative.min, -10.0, 0.5], expected: [-32768.0, -32752.0] }, ] as ScalarTripleToIntervalCase[], - abstract: [ - // [0.0, 1.0] cases - { input: [0.0, 1.0, 0.1], expected: 0.1 }, - { input: [0.0, 1.0, 0.9], expected: 0.9 }, - // [1.0, 0.0] cases - { input: [1.0, 0.0, 0.1], expected: 0.9 }, - { input: [1.0, 0.0, 0.9], expected: kMinusNULPFunctions['abstract'](0.1, 2) }, // This not being 0.1 is related to https://github.com/gpuweb/cts/issues/2993 - // [0.0, 10.0] cases - { input: [0.0, 10.0, 0.1], expected: 1 }, - { input: [0.0, 10.0, 0.9], expected: 9 }, - // [2.0, 10.0] cases - { input: [2.0, 10.0, 0.1], expected: 2.8 }, - { input: [2.0, 10.0, 0.9], expected: 9.2 }, - // [-1.0, 1.0] cases - { input: [-1.0, 1.0, 0.1], expected: -0.8 }, - { input: [-1.0, 1.0, 0.9], expected: 0.8 }, - - // Showing how precise and imprecise versions diff - // Note that this expectation is 0 in f64 as |10.0| is much smaller than - // |f64.negative.min|, so that 10 - f64.negative.min == -f64.negative.min - { input: [kValue.f64.negative.min, 10.0, 1.0], expected: 0 }, - // -10.0 is the same, much smaller than f64.negative.min - { input: [kValue.f64.negative.min, -10.0, 1.0], expected: 0 }, - { input: [kValue.f64.negative.min, 10.0, 5.0], expected: kUnboundedEndpoints }, - { input: [kValue.f64.negative.min, -10.0, 5.0], expected: kUnboundedEndpoints }, - { input: [kValue.f64.negative.min, 10.0, 0.5], expected: reinterpretU64AsF64(0xffdf_ffff_ffff_ffffn) }, - { input: [kValue.f64.negative.min, -10.0, 0.5], expected: reinterpretU64AsF64(0xffdf_ffff_ffff_ffffn) }, - ] as ScalarTripleToIntervalCase[], } as const; g.test('mixImpreciseInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = FP[p.trait]; @@ -5552,40 +5475,12 @@ const kMixPreciseIntervalCases = { // Intermediate OOB { input: [1.0, 2.0, kPlusOneULPFunctions['f16'](kValue.f16.positive.max / 2)], expected: kUnboundedEndpoints }, ] as ScalarTripleToIntervalCase[], - abstract: [ - // [0.0, 1.0] cases - { input: [0.0, 1.0, 0.1], expected: 0.1 }, - { input: [0.0, 1.0, 0.9], expected: 0.9 }, - // [1.0, 0.0] cases - { input: [1.0, 0.0, 0.1], expected: 0.9 }, - { input: [1.0, 0.0, 0.9], expected: kMinusNULPFunctions['abstract'](0.1, 2) }, // This not being 0.1 is related to https://github.com/gpuweb/cts/issues/2993 - // [0.0, 10.0] cases - { input: [0.0, 10.0, 0.1], expected: 1 }, - { input: [0.0, 10.0, 0.9], expected: 9 }, - // [2.0, 10.0] cases - { input: [2.0, 10.0, 0.1], expected: 2.8 }, - { input: [2.0, 10.0, 0.9], expected: 9.2 }, - // [-1.0, 1.0] cases - { input: [-1.0, 1.0, 0.1], expected: -0.8 }, - { input: [-1.0, 1.0, 0.9], expected: 0.8 }, - - // Showing how precise and imprecise versions diff - { input: [kValue.f64.negative.min, 10.0, 1.0], expected: 10.0 }, - { input: [kValue.f64.negative.min, -10.0, 1.0], expected: -10.0 }, - { input: [kValue.f64.negative.min, 10.0, 5.0], expected: kUnboundedEndpoints }, - { input: [kValue.f64.negative.min, -10.0, 5.0], expected: kUnboundedEndpoints }, - { input: [kValue.f64.negative.min, 10.0, 0.5], expected: reinterpretU64AsF64(0xffdf_ffff_ffff_ffffn) }, - { input: [kValue.f64.negative.min, -10.0, 0.5], expected: reinterpretU64AsF64(0xffdf_ffff_ffff_ffffn) }, - - // Intermediate OOB - { input: [1.0, 2.0, kPlusOneULPFunctions['abstract'](kValue.f64.positive.max / 2)], expected: kUnboundedEndpoints }, - ] as ScalarTripleToIntervalCase[], } as const; g.test('mixPreciseInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = FP[p.trait]; @@ -6133,17 +6028,12 @@ const kDotIntervalCases = { { input: [[kValue.f16.positive.max, 1.0, 2.0, 3.0], [-1.0, kValue.f16.positive.max, -2.0, -3.0]], expected: kUnboundedEndpoints }, { input: [[kValue.f16.positive.max, 1.0, 2.0, 3.0], [1.0, kValue.f16.negative.min, 2.0, 3.0]], expected: kUnboundedEndpoints }, ] as VectorPairToIntervalCase[], - abstract: [ - // See f32 for details - { input: [[kValue.f64.positive.max, 1.0, 2.0, 3.0], [-1.0, kValue.f64.positive.max, -2.0, -3.0]], expected: [-13, 0] }, - { input: [[kValue.f64.positive.max, 1.0, 2.0, 3.0], [1.0, kValue.f64.negative.min, 2.0, 3.0]], expected: [0, 13] }, - ] as VectorPairToIntervalCase[], } as const; g.test('dotInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = FP[p.trait]; @@ -6335,30 +6225,12 @@ const kCrossIntervalCases = { ] }, ] as VectorPairToVectorCase[], - abstract: [ - { input: [ - [kValue.f64.positive.subnormal.max, kValue.f64.negative.subnormal.max, kValue.f64.negative.subnormal.min], - [kValue.f64.negative.subnormal.min, kValue.f64.positive.subnormal.min, kValue.f64.negative.subnormal.max] - ], - expected: [0.0, 0.0, 0.0] - }, - { input: [ - [0.1, -0.1, -0.1], - [-0.1, 0.1, -0.1] - ], - expected: [ - reinterpretU64AsF64(0x3f94_7ae1_47ae_147cn), // ~0.02 - reinterpretU64AsF64(0x3f94_7ae1_47ae_147cn), // ~0.02 - 0.0 - ] - }, - ] as VectorPairToVectorCase[], } as const; g.test('crossInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .expandWithParams(p => { const trait = FP[p.trait]; @@ -6494,7 +6366,7 @@ interface MatrixToScalarCase { g.test('determinantInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .combineWithParams([ // Extreme values, i.e. subnormals, very large magnitudes, and those lead to @@ -7199,7 +7071,7 @@ g.test('subtractionMatrixMatrixInterval') g.test('multiplicationMatrixMatrixInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .combineWithParams([ // Only testing that different shapes of matrices are handled correctly @@ -7965,7 +7837,7 @@ interface MatrixVectorToVectorCase { g.test('multiplicationMatrixVectorInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .combineWithParams([ // Only testing that different shapes of matrices are handled correctly @@ -8082,7 +7954,7 @@ interface VectorMatrixToVectorCase { g.test('multiplicationVectorMatrixInterval') .params(u => u - .combine('trait', ['f32', 'f16', 'abstract'] as const) + .combine('trait', ['f32', 'f16'] as const) .beginSubcases() .combineWithParams([ // Only testing that different shapes of matrices are handled correctly diff --git a/src/webgpu/shader/execution/expression/binary/af_division.cache.ts b/src/webgpu/shader/execution/expression/binary/af_division.cache.ts index 5af293b3de28..ff2fb6a5780a 100644 --- a/src/webgpu/shader/execution/expression/binary/af_division.cache.ts +++ b/src/webgpu/shader/execution/expression/binary/af_division.cache.ts @@ -3,11 +3,13 @@ import { sparseScalarF64Range, sparseVectorF64Range } from '../../../../util/mat import { makeCaseCache } from '../case_cache.js'; const divisionVectorScalarInterval = (v: readonly number[], s: number): FPVector => { - return FP.abstract.toVector(v.map(e => FP.abstract.divisionInterval(e, s))); + // division has an ulp accuracy, so abstract is only expected to be as accurate as f32 + return FP.abstract.toVector(v.map(e => FP.f32.divisionInterval(e, s))); }; const divisionScalarVectorInterval = (s: number, v: readonly number[]): FPVector => { - return FP.abstract.toVector(v.map(e => FP.abstract.divisionInterval(s, e))); + // division has an ulp accuracy, so abstract is only expected to be as accurate as f32 + return FP.abstract.toVector(v.map(e => FP.f32.divisionInterval(s, e))); }; const scalar_cases = { @@ -16,7 +18,8 @@ const scalar_cases = { sparseScalarF64Range(), sparseScalarF64Range(), 'finite', - FP.abstract.divisionInterval + // division has an ulp accuracy, so abstract is only expected to be as accurate as f32 + FP.f32.divisionInterval ); }, }; diff --git a/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.cache.ts b/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.cache.ts index e539ee1db5da..78512fbd0d82 100644 --- a/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.cache.ts +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.cache.ts @@ -16,7 +16,8 @@ const mat_mat_cases = ([2, 3, 4] as const) sparseMatrixF64Range(k, rows), sparseMatrixF64Range(cols, k), 'finite', - FP.abstract.multiplicationMatrixMatrixInterval + // Matrix-matrix multiplication has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP.f32.multiplicationMatrixMatrixInterval ) ); }, diff --git a/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.cache.ts b/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.cache.ts index 1401428d3da0..4578eb0ce49b 100644 --- a/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.cache.ts +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.cache.ts @@ -15,7 +15,8 @@ const mat_vec_cases = ([2, 3, 4] as const) sparseMatrixF64Range(cols, rows), sparseVectorF64Range(cols), 'finite', - FP.abstract.multiplicationMatrixVectorInterval + // Matrix-vector multiplication has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP.f32.multiplicationMatrixVectorInterval ) ); }, @@ -35,7 +36,8 @@ const vec_mat_cases = ([2, 3, 4] as const) sparseVectorF64Range(rows), sparseMatrixF64Range(cols, rows), 'finite', - FP.abstract.multiplicationVectorMatrixInterval + // Vector-matrix multiplication has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP.f32.multiplicationVectorMatrixInterval ) ); }, diff --git a/src/webgpu/shader/execution/expression/binary/af_remainder.cache.ts b/src/webgpu/shader/execution/expression/binary/af_remainder.cache.ts index eba0a27760b0..4817298167ea 100644 --- a/src/webgpu/shader/execution/expression/binary/af_remainder.cache.ts +++ b/src/webgpu/shader/execution/expression/binary/af_remainder.cache.ts @@ -3,11 +3,13 @@ import { sparseScalarF64Range, sparseVectorF64Range } from '../../../../util/mat import { makeCaseCache } from '../case_cache.js'; const remainderVectorScalarInterval = (v: readonly number[], s: number): FPVector => { - return FP.abstract.toVector(v.map(e => FP.abstract.remainderInterval(e, s))); + // remainder has an inherited accuracy, so abstract is only expected to be as accurate as f32 + return FP.abstract.toVector(v.map(e => FP.f32.remainderInterval(e, s))); }; const remainderScalarVectorInterval = (s: number, v: readonly number[]): FPVector => { - return FP.abstract.toVector(v.map(e => FP.abstract.remainderInterval(s, e))); + // remainder has an inherited accuracy, so abstract is only expected to be as accurate as f32 + return FP.abstract.toVector(v.map(e => FP.f32.remainderInterval(s, e))); }; const scalar_cases = { @@ -16,7 +18,8 @@ const scalar_cases = { sparseScalarF64Range(), sparseScalarF64Range(), 'finite', - FP.abstract.remainderInterval + // remainder has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP.f32.remainderInterval ); }, }; diff --git a/src/webgpu/shader/execution/expression/call/builtin/cross.cache.ts b/src/webgpu/shader/execution/expression/call/builtin/cross.cache.ts index 74752d3afb26..396789b4ed64 100644 --- a/src/webgpu/shader/execution/expression/call/builtin/cross.cache.ts +++ b/src/webgpu/shader/execution/expression/call/builtin/cross.cache.ts @@ -14,7 +14,8 @@ const cases = (['f32', 'f16', 'abstract'] as const) FP[trait].vectorRange(3), FP[trait].vectorRange(3), nonConst ? 'unfiltered' : 'finite', - FP[trait].crossInterval + // cross has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP[trait !== 'abstract' ? trait : 'f32'].crossInterval ); }, })) diff --git a/src/webgpu/shader/execution/expression/call/builtin/degrees.cache.ts b/src/webgpu/shader/execution/expression/call/builtin/degrees.cache.ts index 2dbe8923c4cc..16abe41f3474 100644 --- a/src/webgpu/shader/execution/expression/call/builtin/degrees.cache.ts +++ b/src/webgpu/shader/execution/expression/call/builtin/degrees.cache.ts @@ -13,7 +13,8 @@ const cases = (['f32', 'f16', 'abstract'] as const) return FP[trait].generateScalarToIntervalCases( FP[trait].scalarRange(), nonConst ? 'unfiltered' : 'finite', - FP[trait].degreesInterval + // degrees has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP[trait !== 'abstract' ? trait : 'f32'].degreesInterval ); }, })) diff --git a/src/webgpu/shader/execution/expression/call/builtin/determinant.cache.ts b/src/webgpu/shader/execution/expression/call/builtin/determinant.cache.ts index 4eab44009abe..ccd073bce5ac 100644 --- a/src/webgpu/shader/execution/expression/call/builtin/determinant.cache.ts +++ b/src/webgpu/shader/execution/expression/call/builtin/determinant.cache.ts @@ -85,7 +85,8 @@ const abstract_cases = ([2, 3, 4] as const) return FP.abstract.generateMatrixToScalarCases( kDeterminantMatrixValues[dim], 'finite', - FP.abstract.determinantInterval + // determinant has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP.f32.determinantInterval ); }, })) diff --git a/src/webgpu/shader/execution/expression/call/builtin/dot.cache.ts b/src/webgpu/shader/execution/expression/call/builtin/dot.cache.ts index 06a4553a6363..6d1f22def137 100644 --- a/src/webgpu/shader/execution/expression/call/builtin/dot.cache.ts +++ b/src/webgpu/shader/execution/expression/call/builtin/dot.cache.ts @@ -75,7 +75,8 @@ const float_cases = (['f32', 'f16', 'abstract'] as const) N === 2 ? FP[trait].vectorRange(2) : FP[trait].sparseVectorRange(N), N === 2 ? FP[trait].vectorRange(2) : FP[trait].sparseVectorRange(N), nonConst ? 'unfiltered' : 'finite', - FP[trait].dotInterval + // dot has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP[trait !== 'abstract' ? trait : 'f32'].dotInterval ); }, })) diff --git a/src/webgpu/shader/execution/expression/call/builtin/fma.cache.ts b/src/webgpu/shader/execution/expression/call/builtin/fma.cache.ts index 0efa57f39c73..20a61ce83794 100644 --- a/src/webgpu/shader/execution/expression/call/builtin/fma.cache.ts +++ b/src/webgpu/shader/execution/expression/call/builtin/fma.cache.ts @@ -15,7 +15,8 @@ const cases = (['f32', 'f16', 'abstract'] as const) FP[trait].sparseScalarRange(), FP[trait].sparseScalarRange(), nonConst ? 'unfiltered' : 'finite', - FP[trait].fmaInterval + // fma has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP[trait !== 'abstract' ? trait : 'f32'].fmaInterval ); }, })) diff --git a/src/webgpu/shader/execution/expression/call/builtin/mix.cache.ts b/src/webgpu/shader/execution/expression/call/builtin/mix.cache.ts index 3f1de937b159..be221297b096 100644 --- a/src/webgpu/shader/execution/expression/call/builtin/mix.cache.ts +++ b/src/webgpu/shader/execution/expression/call/builtin/mix.cache.ts @@ -1,4 +1,5 @@ import { FP } from '../../../../../util/floating_point.js'; +import { selectNCases } from '../../case.js'; import { makeCaseCache } from '../../case_cache.js'; // Cases: [f32|f16|abstract]_[non_]const @@ -10,13 +11,15 @@ const scalar_cases = (['f32', 'f16', 'abstract'] as const) if (trait === 'abstract' && nonConst) { return []; } - return FP[trait].generateScalarTripleToIntervalCases( + const cases = FP[trait].generateScalarTripleToIntervalCases( FP[trait].sparseScalarRange(), FP[trait].sparseScalarRange(), FP[trait].sparseScalarRange(), nonConst ? 'unfiltered' : 'finite', - ...FP[trait].mixIntervals + // mix has an inherited accuracy, so abstract is only expected to be as accurate as f32 + ...FP[trait !== 'abstract' ? trait : 'f32'].mixIntervals ); + return selectNCases('mix_scalar', trait === 'abstract' ? 50 : cases.length, cases); }, })) ) @@ -32,13 +35,15 @@ const vec_scalar_cases = (['f32', 'f16', 'abstract'] as const) if (trait === 'abstract' && nonConst) { return []; } - return FP[trait].generateVectorPairScalarToVectorComponentWiseCase( + const cases = FP[trait].generateVectorPairScalarToVectorComponentWiseCase( FP[trait].sparseVectorRange(dim), FP[trait].sparseVectorRange(dim), FP[trait].sparseScalarRange(), nonConst ? 'unfiltered' : 'finite', - ...FP[trait].mixIntervals + // mix has an inherited accuracy, so abstract is only expected to be as accurate as f32 + ...FP[trait !== 'abstract' ? trait : 'f32'].mixIntervals ); + return selectNCases('mix_vector', trait === 'abstract' ? 50 : cases.length, cases); }, })) ) diff --git a/src/webgpu/shader/execution/expression/call/builtin/radians.cache.ts b/src/webgpu/shader/execution/expression/call/builtin/radians.cache.ts index e92b4970c499..8ed0fbbd2b94 100644 --- a/src/webgpu/shader/execution/expression/call/builtin/radians.cache.ts +++ b/src/webgpu/shader/execution/expression/call/builtin/radians.cache.ts @@ -7,8 +7,9 @@ const cases = (['f32', 'f16', 'abstract'] as const) [`${trait}`]: () => { return FP[trait].generateScalarToIntervalCases( FP[trait].scalarRange(), - 'unfiltered', - FP[trait].radiansInterval + trait !== 'abstract' ? 'unfiltered' : 'finite', + // radians has an inherited accuracy, so abstract is only expected to be as accurate as f32 + FP[trait !== 'abstract' ? trait : 'f32'].radiansInterval ); }, })) diff --git a/src/webgpu/util/floating_point.ts b/src/webgpu/util/floating_point.ts index 7887d82aaf70..5f1e14fad8e0 100644 --- a/src/webgpu/util/floating_point.ts +++ b/src/webgpu/util/floating_point.ts @@ -1713,7 +1713,6 @@ export abstract class FPTraits { ): Case | undefined { param0 = map2DArray(param0, this.quantize); param1 = map2DArray(param1, this.quantize); - const results = ops.map(o => o(param0, param1)); if (filter === 'finite' && results.some(m => m.some(c => c.some(r => !r.isFinite())))) { return undefined; @@ -2527,9 +2526,10 @@ export abstract class FPTraits { protected runMatrixToMatrixOp(m: FPMatrix, op: MatrixToMatrixOp): FPMatrix { const num_cols = m.length; const num_rows = m[0].length; - if (m.some(c => c.some(r => !r.isFinite()))) { - return this.constants().unboundedMatrix[num_cols][num_rows]; - } + + // Do not check for OOB inputs and exit early here, because the shape of + // the output matrix may be determined by the operation being run, + // i.e. transpose. const m_flat: readonly FPInterval[] = flatten2DArray(m); const m_values: ROArrayArray = cartesianProduct( @@ -3411,7 +3411,10 @@ export abstract class FPTraits { x: readonly number[] | readonly FPInterval[], y: readonly number[] | readonly FPInterval[] ): FPInterval { - assert(x.length === y.length, `dot not defined for vectors with different lengths`); + assert( + x.length === y.length, + `dot not defined for vectors with different lengths, x = ${x}, y = ${y}` + ); return this.runVectorPairToIntervalOp(this.toVector(x), this.toVector(y), this.DotIntervalOp); } @@ -5124,22 +5127,26 @@ class FPAbstractTraits extends FPTraits { public readonly clampIntervals = [this.clampMedianInterval, this.clampMinMaxInterval]; public readonly cosInterval = this.unimplementedScalarToInterval.bind(this, 'cosInterval'); public readonly coshInterval = this.unimplementedScalarToInterval.bind(this, 'coshInterval'); - public readonly crossInterval = this.crossIntervalImpl.bind(this); - public readonly degreesInterval = this.degreesIntervalImpl.bind(this); - public readonly determinantInterval = this.determinantIntervalImpl.bind(this); + public readonly crossInterval = this.unimplementedVectorPairToVector.bind(this, 'crossInterval'); + public readonly degreesInterval = this.unimplementedScalarToInterval.bind( + this, + 'degreesInterval' + ); + public readonly determinantInterval = this.unimplementedMatrixToInterval.bind( + this, + 'determinant' + ); public readonly distanceInterval = this.unimplementedDistance.bind(this); - public readonly divisionInterval = ( - x: number | FPInterval, - y: number | FPInterval - ): FPInterval => { - return this.toInterval(kF32Traits.divisionInterval(x, y)); - }; - public readonly dotInterval = this.dotIntervalImpl.bind(this); + public readonly divisionInterval = this.unimplementedScalarPairToInterval.bind( + this, + 'divisionInterval' + ); + public readonly dotInterval = this.unimplementedVectorPairToInterval.bind(this, 'dotInterval'); public readonly expInterval = this.unimplementedScalarToInterval.bind(this, 'expInterval'); public readonly exp2Interval = this.unimplementedScalarToInterval.bind(this, 'exp2Interval'); public readonly faceForwardIntervals = this.unimplementedFaceForward.bind(this); public readonly floorInterval = this.floorIntervalImpl.bind(this); - public readonly fmaInterval = this.fmaIntervalImpl.bind(this); + public readonly fmaInterval = this.unimplementedScalarTripleToInterval.bind(this, 'fmaInterval'); public readonly fractInterval = this.unimplementedScalarToInterval.bind(this, 'fractInterval'); public readonly inverseSqrtInterval = this.unimplementedScalarToInterval.bind( this, @@ -5154,36 +5161,49 @@ class FPAbstractTraits extends FPTraits { public readonly log2Interval = this.unimplementedScalarToInterval.bind(this, 'log2Interval'); public readonly maxInterval = this.maxIntervalImpl.bind(this); public readonly minInterval = this.minIntervalImpl.bind(this); - public readonly mixImpreciseInterval = this.mixImpreciseIntervalImpl.bind(this); - public readonly mixPreciseInterval = this.mixPreciseIntervalImpl.bind(this); + public readonly mixImpreciseInterval = this.unimplementedScalarTripleToInterval.bind( + this, + 'mixImpreciseInterval' + ); + public readonly mixPreciseInterval = this.unimplementedScalarTripleToInterval.bind( + this, + 'mixPreciseInterval' + ); public readonly mixIntervals = [this.mixImpreciseInterval, this.mixPreciseInterval]; public readonly modfInterval = this.modfIntervalImpl.bind(this); public readonly multiplicationInterval = this.multiplicationIntervalImpl.bind(this); - public readonly multiplicationMatrixMatrixInterval = - this.multiplicationMatrixMatrixIntervalImpl.bind(this); + public readonly multiplicationMatrixMatrixInterval = this.unimplementedMatrixPairToMatrix.bind( + this, + 'multiplicationMatrixMatrixInterval' + ); public readonly multiplicationMatrixScalarInterval = this.multiplicationMatrixScalarIntervalImpl.bind(this); public readonly multiplicationScalarMatrixInterval = this.multiplicationScalarMatrixIntervalImpl.bind(this); - public readonly multiplicationMatrixVectorInterval = - this.multiplicationMatrixVectorIntervalImpl.bind(this); - public readonly multiplicationVectorMatrixInterval = - this.multiplicationVectorMatrixIntervalImpl.bind(this); + public readonly multiplicationMatrixVectorInterval = this.unimplementedMatrixVectorToVector.bind( + this, + 'multiplicationMatrixVectorInterval' + ); + public readonly multiplicationVectorMatrixInterval = this.unimplementedVectorMatrixToVector.bind( + this, + 'multiplicationVectorMatrixInterval' + ); public readonly negationInterval = this.negationIntervalImpl.bind(this); public readonly normalizeInterval = this.unimplementedVectorToVector.bind( this, 'normalizeInterval' ); public readonly powInterval = this.unimplementedScalarPairToInterval.bind(this, 'powInterval'); - public readonly radiansInterval = this.radiansIntervalImpl.bind(this); + public readonly radiansInterval = this.unimplementedScalarToInterval.bind(this, 'radiansImpl'); public readonly reflectInterval = this.unimplementedVectorPairToVector.bind( this, 'reflectInterval' ); public readonly refractInterval = this.unimplementedRefract.bind(this); - public readonly remainderInterval = (x: number, y: number): FPInterval => { - return this.toInterval(kF32Traits.remainderInterval(x, y)); - }; + public readonly remainderInterval = this.unimplementedScalarPairToInterval.bind( + this, + 'remainderInterval' + ); public readonly roundInterval = this.roundIntervalImpl.bind(this); public readonly saturateInterval = this.saturateIntervalImpl.bind(this); public readonly signInterval = this.signIntervalImpl.bind(this);

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