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wgsl: Implement AbstractFloat matrix multiplcation tests
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Issue #1626
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@zoddicus
zoddicus committed Mar 6, 2024
1 parent 3dcdba7 commit 2f24495
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185 changes: 94 additions & 91 deletions src/resources/cache/hashes.json
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26 changes: 20 additions & 6 deletions src/unittests/floating_point.spec.ts
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Expand Up @@ -7193,7 +7193,7 @@ g.test('subtractionMatrixMatrixInterval')
g.test('multiplicationMatrixMatrixInterval')
.params(u =>
u
.combine('trait', ['f32', 'f16'] as const)
.combine('trait', ['f32', 'f16', 'abstract'] as const)
.beginSubcases()
.combineWithParams<MatrixPairToMatrixCase>([
// Only testing that different shapes of matrices are handled correctly
Expand Down Expand Up @@ -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<MatrixScalarToMatrixCase>(p => {
const trait = FP[p.trait];
Expand Down Expand Up @@ -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<MatrixVectorToVectorCase>([
// Only testing that different shapes of matrices are handled correctly
Expand Down Expand Up @@ -8062,16 +8076,16 @@ interface VectorMatrixToVectorCase {
g.test('multiplicationVectorMatrixInterval')
.params(u =>
u
.combine('trait', ['f32', 'f16'] as const)
.combine('trait', ['f32', 'f16', 'abstract'] as const)
.beginSubcases()
.combineWithParams<VectorMatrixToVectorCase>([
// Only testing that different shapes of matrices are handled correctly
// here, to reduce test duplication.
// 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: [
Expand Down
5 changes: 5 additions & 0 deletions src/webgpu/listing_meta.json
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Expand Up @@ -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 },
Expand Down
23 changes: 23 additions & 0 deletions src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.cache.ts
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@@ -0,0 +1,23 @@
import { FP } from '../../../../util/floating_point.js';
import { sparseMatrixF64Range } from '../../../../util/math.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 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);
48 changes: 48 additions & 0 deletions src/webgpu/shader/execution/expression/binary/af_matrix_matrix_multiplication.spec.ts
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@@ -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
);
});
40 changes: 40 additions & 0 deletions src/webgpu/shader/execution/expression/binary/af_matrix_scalar_multiplication.cache.ts
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@@ -0,0 +1,40 @@
import { FP } from '../../../../util/floating_point.js';
import { sparseMatrixF64Range, sparseScalarF64Range } from '../../../../util/math.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 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 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,
});
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