From a93708e6e14220fde775404348ac7c13f17d5e92 Mon Sep 17 00:00:00 2001 From: Ryan Harrison Date: Wed, 6 Mar 2024 14:16:04 -0500 Subject: [PATCH] wgsl: Implement AbstractFloat matrix multiplcation tests (#3446) Adds in a hash based filtering utility for reducing number of test cases being generated. Issue #1626 --- src/resources/cache/hashes.json | 203 +++++++++--------- .../af_matrix_matrix_multiplication.bin | Bin 0 -> 1617464 bytes .../af_matrix_scalar_multiplication.bin | Bin 0 -> 963656 bytes .../af_matrix_vector_multiplication.bin | Bin 0 -> 577904 bytes src/unittests/floating_point.spec.ts | 26 ++- src/webgpu/listing_meta.json | 5 + .../af_matrix_matrix_multiplication.cache.ts | 28 +++ .../af_matrix_matrix_multiplication.spec.ts | 48 +++++ .../af_matrix_scalar_multiplication.cache.ts | 49 +++++ .../af_matrix_scalar_multiplication.spec.ts | 69 ++++++ .../af_matrix_vector_multiplication.cache.ts | 49 +++++ .../af_matrix_vector_multiplication.spec.ts | 69 ++++++ .../shader/execution/expression/case.ts | 49 ++++- src/webgpu/util/floating_point.ts | 30 +-- 14 files changed, 496 insertions(+), 129 deletions(-) create mode 100644 src/resources/cache/webgpu/shader/execution/binary/af_matrix_matrix_multiplication.bin create mode 100644 src/resources/cache/webgpu/shader/execution/binary/af_matrix_scalar_multiplication.bin create mode 100644 src/resources/cache/webgpu/shader/execution/binary/af_matrix_vector_multiplication.bin create mode 100644 src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.cache.ts create mode 100644 src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.spec.ts create mode 100644 src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.cache.ts create mode 100644 src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.spec.ts create mode 100644 src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.cache.ts create mode 100644 src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.spec.ts diff --git a/src/resources/cache/hashes.json b/src/resources/cache/hashes.json index 9476d8431f41..48c819594290 100644 --- a/src/resources/cache/hashes.json +++ 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zmv|$}e3;jK$OmGk*X-}I{augdTkw~kFNoV&-*&g5^|*iA0ws95AfU|0;(-r(M5)*8 z{o7;@SeK`58^&$!pDSe=2Yw&)92q)-)X%c)3w@L$TK+!C-TSA9WbXj8d>l}J4=D9$ zhpn`Cd>sq0E>C0U9V?!<96lo6h%z5XJa0jidd>duk;n8Iz`8umEV>czPqaa7>T}O> zsgH78&&bToqTZ8YWIev%`|J^AJ{E9)JvKzC*Y3*~_H}vMwPD<*elBIt-Q!+9FN zeIKEww;|rPebmQ(jHy0}`tIKW9l>=LY=|;XN1uDv=XuiX55FLLz`8tLuwh(tf&7`4 ztm$LFh?-rYkNd+5-FZ56Clls#9Y7J-n~oqfXnk#@=fvmY0QJ|ed3KM^I={h z-iW!L?9EH6eO;am`!_uPrp$w{Q(O)(%g5^+Ct$8;9(-|{C-waZn*E0qzx%KYvN4Mbb40@6IFg$NT%=I2k zjrr8)dS0JQvHqc5Xxepzq5G!|o!=e($_9FfGEYap@~qGEg!4dbh>AU`ahc@jGl%Bs zyoIjNHf-K9{k08YAxhrUUwhUUc~a~>&szZN@>J%tB~x7O`HT(m>iXC(BHO2VLHE4H z|Ay=lWuE+R$RA>^UvBR{Cwsu u - .combine('trait', ['f32', 'f16'] as const) + .combine('trait', ['f32', 'f16', 'abstract'] as const) .beginSubcases() .combineWithParams([ // Only testing that different shapes of matrices are handled correctly @@ -7768,12 +7768,26 @@ const kMultiplicationMatrixScalarIntervalCases = { ], }, ] as MatrixScalarToMatrixCase[], + abstract: [ + // From https://github.com/gpuweb/cts/issues/3044 + { + matrix: [ + [kValue.f64.negative.min, 0], + [0, 0], + ], + scalar: kValue.f64.negative.subnormal.min, + expected: [ + [[0, reinterpretU64AsF64(0x400ffffffffffffdn)], 0], // [[0, 3.9999995...], 0], + [0, 0], + ], + }, + ] as MatrixScalarToMatrixCase[], } as const; g.test('multiplicationMatrixScalarInterval') .params(u => u - .combine('trait', ['f32', 'f16'] as const) + .combine('trait', ['f32', 'f16', 'abstract'] as const) .beginSubcases() .expandWithParams(p => { const trait = FP[p.trait]; @@ -7945,7 +7959,7 @@ interface MatrixVectorToVectorCase { g.test('multiplicationMatrixVectorInterval') .params(u => u - .combine('trait', ['f32', 'f16'] as const) + .combine('trait', ['f32', 'f16', 'abstract'] as const) .beginSubcases() .combineWithParams([ // Only testing that different shapes of matrices are handled correctly @@ -8062,7 +8076,7 @@ interface VectorMatrixToVectorCase { g.test('multiplicationVectorMatrixInterval') .params(u => u - .combine('trait', ['f32', 'f16'] as const) + .combine('trait', ['f32', 'f16', 'abstract'] as const) .beginSubcases() .combineWithParams([ // Only testing that different shapes of matrices are handled correctly @@ -8070,8 +8084,8 @@ g.test('multiplicationVectorMatrixInterval') // multiplicationVectorMatrixInterval uses DotIntervalOp for calculating // intervals, so the testing for dotInterval covers the actual interval // calculations. - // Keep all expected result integer no larger than 2047 to ensure that all result is exactly - // represeantable in both f32 and f16. + // Keep all expected result integer no larger than 2047 to ensure that + // all result is exactly representable in both f32 and f16. { vector: [1, 2], matrix: [ diff --git a/src/webgpu/listing_meta.json b/src/webgpu/listing_meta.json index 95851c200be1..a046cec8e64f 100644 --- a/src/webgpu/listing_meta.json +++ b/src/webgpu/listing_meta.json @@ -914,7 +914,12 @@ "webgpu:shader,execution,expression,binary,af_division:vector:*": { "subcaseMS": 237.134 }, "webgpu:shader,execution,expression,binary,af_division:vector_scalar:*": { "subcaseMS": 580.000 }, "webgpu:shader,execution,expression,binary,af_matrix_addition:matrix:*": { "subcaseMS": 11169.534 }, + "webgpu:shader,execution,expression,binary,af_matrix_matrix_multiplication:matrix_matrix:*": { "subcaseMS": 0.000 }, + "webgpu:shader,execution,expression,binary,af_matrix_scalar_multiplication:matrix_scalar:*": { "subcaseMS": 0.000 }, + "webgpu:shader,execution,expression,binary,af_matrix_scalar_multiplication:scalar_matrix:*": { "subcaseMS": 0.000 }, "webgpu:shader,execution,expression,binary,af_matrix_subtraction:matrix:*": { "subcaseMS": 14060.956 }, + "webgpu:shader,execution,expression,binary,af_matrix_vector_multiplication:matrix_vector:*": { "subcaseMS": 0.000 }, + "webgpu:shader,execution,expression,binary,af_matrix_vector_multiplication:vector_matrix:*": { "subcaseMS": 0.000 }, "webgpu:shader,execution,expression,binary,af_multiplication:scalar:*": { "subcaseMS": 777.901 }, "webgpu:shader,execution,expression,binary,af_multiplication:scalar_vector:*": { "subcaseMS": 2025.534 }, "webgpu:shader,execution,expression,binary,af_multiplication:vector:*": { "subcaseMS": 710.667 }, 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 new file mode 100644 index 000000000000..c7540083d6ff --- /dev/null +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.cache.ts @@ -0,0 +1,28 @@ +import { FP } from '../../../../util/floating_point.js'; +import { sparseMatrixF64Range } from '../../../../util/math.js'; +import { selectNCases } from '../case.js'; +import { makeCaseCache } from '../case_cache.js'; + +// Cases: matKxR_matCxK +const mat_mat_cases = ([2, 3, 4] as const) + .flatMap(k => + ([2, 3, 4] as const).flatMap(cols => + ([2, 3, 4] as const).map(rows => ({ + [`mat${k}x${rows}_mat${cols}x${k}`]: () => { + return selectNCases( + 'binary/af_matrix_matrix_multiplication', + 50, + FP.abstract.generateMatrixPairToMatrixCases( + sparseMatrixF64Range(k, rows), + sparseMatrixF64Range(cols, k), + 'finite', + FP.abstract.multiplicationMatrixMatrixInterval + ) + ); + }, + })) + ) + ) + .reduce((a, b) => ({ ...a, ...b }), {}); + +export const d = makeCaseCache('binary/af_matrix_matrix_multiplication', mat_mat_cases); diff --git a/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.spec.ts b/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.spec.ts new file mode 100644 index 000000000000..bb7fd668c296 --- /dev/null +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.spec.ts @@ -0,0 +1,48 @@ +export const description = ` +Execution Tests for matrix-matrix AbstractFloat multiplication expression +`; + +import { makeTestGroup } from '../../../../../common/framework/test_group.js'; +import { GPUTest } from '../../../../gpu_test.js'; +import { TypeAbstractFloat, TypeMat } from '../../../../util/conversion.js'; +import { onlyConstInputSource, run } from '../expression.js'; + +import { d } from './af_matrix_matrix_multiplication.cache.js'; +import { abstractFloatBinary } from './binary.js'; + +export const g = makeTestGroup(GPUTest); + +g.test('matrix_matrix') + .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') + .desc( + ` +Expression: x * y, where x is a matrix and y is a matrix +Accuracy: Correctly rounded +` + ) + .params(u => + u + .combine('inputSource', onlyConstInputSource) + .combine('common_dim', [2, 3, 4] as const) + .combine('x_rows', [2, 3, 4] as const) + .combine('y_cols', [2, 3, 4] as const) + ) + .beforeAllSubcases(t => { + t.selectDeviceOrSkipTestCase({ requiredFeatures: ['shader-f16'] }); + }) + .fn(async t => { + const x_cols = t.params.common_dim; + const x_rows = t.params.x_rows; + const y_cols = t.params.y_cols; + const y_rows = t.params.common_dim; + + const cases = await d.get(`mat${x_cols}x${x_rows}_mat${y_cols}x${y_rows}`); + await run( + t, + abstractFloatBinary('*'), + [TypeMat(x_cols, x_rows, TypeAbstractFloat), TypeMat(y_cols, y_rows, TypeAbstractFloat)], + TypeMat(y_cols, x_rows, TypeAbstractFloat), + t.params, + cases + ); + }); diff --git a/src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.cache.ts b/src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.cache.ts new file mode 100644 index 000000000000..910636297022 --- /dev/null +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.cache.ts @@ -0,0 +1,49 @@ +import { FP } from '../../../../util/floating_point.js'; +import { sparseMatrixF64Range, sparseScalarF64Range } from '../../../../util/math.js'; +import { selectNCases } from '../case.js'; +import { makeCaseCache } from '../case_cache.js'; + +// Cases: matCxR_scalar +const mat_scalar_cases = ([2, 3, 4] as const) + .flatMap(cols => + ([2, 3, 4] as const).map(rows => ({ + [`mat${cols}x${rows}_scalar`]: () => { + return selectNCases( + 'binary/af_matrix_scalar_multiplication_mat_scalar', + 50, + FP.abstract.generateMatrixScalarToMatrixCases( + sparseMatrixF64Range(cols, rows), + sparseScalarF64Range(), + 'finite', + FP.abstract.multiplicationMatrixScalarInterval + ) + ); + }, + })) + ) + .reduce((a, b) => ({ ...a, ...b }), {}); + +// Cases: scalar_matCxR +const scalar_mat_cases = ([2, 3, 4] as const) + .flatMap(cols => + ([2, 3, 4] as const).map(rows => ({ + [`scalar_mat${cols}x${rows}`]: () => { + return selectNCases( + 'binary/af_matrix_scalar_multiplication_scalar_mat', + 50, + FP.abstract.generateScalarMatrixToMatrixCases( + sparseScalarF64Range(), + sparseMatrixF64Range(cols, rows), + 'finite', + FP.abstract.multiplicationScalarMatrixInterval + ) + ); + }, + })) + ) + .reduce((a, b) => ({ ...a, ...b }), {}); + +export const d = makeCaseCache('binary/af_matrix_scalar_multiplication', { + ...mat_scalar_cases, + ...scalar_mat_cases, +}); diff --git a/src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.spec.ts b/src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.spec.ts new file mode 100644 index 000000000000..05afa31275d6 --- /dev/null +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.spec.ts @@ -0,0 +1,69 @@ +export const description = ` +Execution Tests for matrix-scalar and scalar-matrix AbstractFloat multiplication expression +`; + +import { makeTestGroup } from '../../../../../common/framework/test_group.js'; +import { GPUTest } from '../../../../gpu_test.js'; +import { TypeAbstractFloat, TypeMat } from '../../../../util/conversion.js'; +import { onlyConstInputSource, run } from '../expression.js'; + +import { d } from './af_matrix_scalar_multiplication.cache.js'; +import { abstractFloatBinary } from './binary.js'; + +export const g = makeTestGroup(GPUTest); + +g.test('matrix_scalar') + .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') + .desc( + ` +Expression: x * y, where x is a matrix and y is a scalar +Accuracy: Correctly rounded +` + ) + .params(u => + u + .combine('inputSource', onlyConstInputSource) + .combine('cols', [2, 3, 4] as const) + .combine('rows', [2, 3, 4] as const) + ) + .fn(async t => { + const cols = t.params.cols; + const rows = t.params.rows; + const cases = await d.get(`mat${cols}x${rows}_scalar`); + await run( + t, + abstractFloatBinary('*'), + [TypeMat(cols, rows, TypeAbstractFloat), TypeAbstractFloat], + TypeMat(cols, rows, TypeAbstractFloat), + t.params, + cases + ); + }); + +g.test('scalar_matrix') + .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') + .desc( + ` +Expression: x * y, where x is a scalar and y is a matrix +Accuracy: Correctly rounded +` + ) + .params(u => + u + .combine('inputSource', onlyConstInputSource) + .combine('cols', [2, 3, 4] as const) + .combine('rows', [2, 3, 4] as const) + ) + .fn(async t => { + const cols = t.params.cols; + const rows = t.params.rows; + const cases = await d.get(`scalar_mat${cols}x${rows}`); + await run( + t, + abstractFloatBinary('*'), + [TypeAbstractFloat, TypeMat(cols, rows, TypeAbstractFloat)], + TypeMat(cols, rows, TypeAbstractFloat), + t.params, + cases + ); + }); 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 new file mode 100644 index 000000000000..1401428d3da0 --- /dev/null +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.cache.ts @@ -0,0 +1,49 @@ +import { FP } from '../../../../util/floating_point.js'; +import { sparseMatrixF64Range, sparseVectorF64Range } from '../../../../util/math.js'; +import { selectNCases } from '../case.js'; +import { makeCaseCache } from '../case_cache.js'; + +// Cases: matCxR_vecC +const mat_vec_cases = ([2, 3, 4] as const) + .flatMap(cols => + ([2, 3, 4] as const).map(rows => ({ + [`mat${cols}x${rows}_vec${cols}`]: () => { + return selectNCases( + 'binary/af_matrix_vector_multiplication_mat_vec', + 50, + FP.abstract.generateMatrixVectorToVectorCases( + sparseMatrixF64Range(cols, rows), + sparseVectorF64Range(cols), + 'finite', + FP.abstract.multiplicationMatrixVectorInterval + ) + ); + }, + })) + ) + .reduce((a, b) => ({ ...a, ...b }), {}); + +// Cases: vecR_matCxR +const vec_mat_cases = ([2, 3, 4] as const) + .flatMap(rows => + ([2, 3, 4] as const).map(cols => ({ + [`vec${rows}_mat${cols}x${rows}`]: () => { + return selectNCases( + 'binary/af_matrix_vector_multiplication_vec_mat', + 50, + FP.abstract.generateVectorMatrixToVectorCases( + sparseVectorF64Range(rows), + sparseMatrixF64Range(cols, rows), + 'finite', + FP.abstract.multiplicationVectorMatrixInterval + ) + ); + }, + })) + ) + .reduce((a, b) => ({ ...a, ...b }), {}); + +export const d = makeCaseCache('binary/af_matrix_vector_multiplication', { + ...mat_vec_cases, + ...vec_mat_cases, +}); diff --git a/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.spec.ts b/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.spec.ts new file mode 100644 index 000000000000..c464c442aa85 --- /dev/null +++ b/src/webgpu/shader/execution/expression/binary/af_matrix_vector_multiplication.spec.ts @@ -0,0 +1,69 @@ +export const description = ` +Execution Tests for matrix-vector and vector-matrix AbstractFloat multiplication expression +`; + +import { makeTestGroup } from '../../../../../common/framework/test_group.js'; +import { GPUTest } from '../../../../gpu_test.js'; +import { TypeAbstractFloat, TypeMat, TypeVec } from '../../../../util/conversion.js'; +import { onlyConstInputSource, run } from '../expression.js'; + +import { d } from './af_matrix_vector_multiplication.cache.js'; +import { abstractFloatBinary } from './binary.js'; + +export const g = makeTestGroup(GPUTest); + +g.test('matrix_vector') + .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') + .desc( + ` +Expression: x * y, where x is a matrix and y is a vector +Accuracy: Correctly rounded +` + ) + .params(u => + u + .combine('inputSource', onlyConstInputSource) + .combine('cols', [2, 3, 4] as const) + .combine('rows', [2, 3, 4] as const) + ) + .fn(async t => { + const cols = t.params.cols; + const rows = t.params.rows; + const cases = await d.get(`mat${cols}x${rows}_vec${cols}`); + await run( + t, + abstractFloatBinary('*'), + [TypeMat(cols, rows, TypeAbstractFloat), TypeVec(cols, TypeAbstractFloat)], + TypeVec(rows, TypeAbstractFloat), + t.params, + cases + ); + }); + +g.test('vector_matrix') + .specURL('https://www.w3.org/TR/WGSL/#floating-point-evaluation') + .desc( + ` +Expression: x * y, where x is a vector and y is is a matrix +Accuracy: Correctly rounded +` + ) + .params(u => + u + .combine('inputSource', onlyConstInputSource) + .combine('cols', [2, 3, 4] as const) + .combine('rows', [2, 3, 4] as const) + ) + .fn(async t => { + const cols = t.params.cols; + const rows = t.params.rows; + const cases = await d.get(`vec${rows}_mat${cols}x${rows}`); + await run( + t, + abstractFloatBinary('*'), + [TypeVec(rows, TypeAbstractFloat), TypeMat(cols, rows, TypeAbstractFloat)], + TypeVec(cols, TypeAbstractFloat), + t.params, + cases + ); + }); diff --git a/src/webgpu/shader/execution/expression/case.ts b/src/webgpu/shader/execution/expression/case.ts index 1cbde7be754f..37e1d2a8f190 100644 --- a/src/webgpu/shader/execution/expression/case.ts +++ b/src/webgpu/shader/execution/expression/case.ts @@ -1,11 +1,13 @@ +import { crc32 } from '../../../../common/util/crc32.js'; import { ROArrayArray } from '../../../../common/util/types.js'; -import { ScalarBuilder, Value, Vector, i32, u32, abstractInt } from '../../../util/conversion.js'; +import { assert } from '../../../../common/util/util.js'; +import { abstractInt, i32, ScalarBuilder, u32, Value, Vector } from '../../../util/conversion.js'; import { - QuantizeFunc, cartesianProduct, + QuantizeFunc, quantizeToI32, - quantizeToU32, quantizeToI64, + quantizeToU32, } from '../../../util/math.js'; import { Expectation } from './expectation.js'; @@ -25,6 +27,47 @@ export type Case = { /** CaseList is a list of Cases */ export type CaseList = Array; +/** + * Filters a given set of Cases down to a target number of cases by + * randomly selecting which Cases to return. + * + * The selection algorithm is deterministic and stable for a case's + * inputs. + * + * This means that if a specific case is selected is not affected by the + * presence of other cases in the list, so in theory it is possible to create a + * pathological set of cases such that all or not of the cases are selected + * in spite of the target number. + * + * This is a trade-off from guaranteeing stability of the selected cases over + * small changes, so the target number of cases is more of a suggestion. It is + * still guaranteed that if you set n0 < n1, then the invocation with n0 will + * return at most the number of cases that n1 does, it just isn't guaranteed to + * be less. + * + * @param dis is a string provided for additional hashing information to avoid + * systemic bias in the selection process across different test + * suites. Specifically every Case with the same input values being + * included or skipped regardless of the operation that they are + * testing. This string should be something like the name of the case + * cache the values are for or the operation under test. + * @param n number of cases targeted be returned. Expected to be a positive + * integer. If equal or greater than the number of cases, then all the + * cases are returned. 0 is not allowed, since it is likely a + * programming error, because if the caller intentionally wants 0 + * items, they can just use []. + * @param cases list of Cases to be selected from. + */ +export function selectNCases(dis: string, n: number, cases: CaseList): CaseList { + assert(n > 0 && Math.round(n) === n, `n ${n} is expected to be a positive integer`); + const count = cases.length; + if (n >= count) { + return cases; + } + const dis_crc32 = crc32(dis); + return cases.filter(c => n * (0xffff_ffff / count) > (crc32(c.input.toString()) ^ dis_crc32)); +} + /** * A function that performs a binary operation on x and y, and returns the * expected result. diff --git a/src/webgpu/util/floating_point.ts b/src/webgpu/util/floating_point.ts index 31b90081bfe6..ea7bb838d4ca 100644 --- a/src/webgpu/util/floating_point.ts +++ b/src/webgpu/util/floating_point.ts @@ -5164,26 +5164,16 @@ class FPAbstractTraits extends FPTraits { 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.unimplementedMatrixPairToMatrix.bind( - this, - 'multiplicationMatrixMatrixInterval' - ); - public readonly multiplicationMatrixScalarInterval = this.unimplementedMatrixScalarToMatrix.bind( - this, - 'multiplicationMatrixScalarInterval' - ); - public readonly multiplicationScalarMatrixInterval = this.unimplementedScalarMatrixToMatrix.bind( - this, - 'multiplicationScalarMatrixInterval' - ); - public readonly multiplicationMatrixVectorInterval = this.unimplementedMatrixVectorToVector.bind( - this, - 'multiplicationMatrixVectorInterval' - ); - public readonly multiplicationVectorMatrixInterval = this.unimplementedVectorMatrixToVector.bind( - this, - 'multiplicationVectorMatrixInterval' - ); + public readonly multiplicationMatrixMatrixInterval = + this.multiplicationMatrixMatrixIntervalImpl.bind(this); + 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 negationInterval = this.negationIntervalImpl.bind(this); public readonly normalizeInterval = this.unimplementedVectorToVector.bind( this,