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6 changes: 6 additions & 0 deletions src/expression/embeddedDocs/embeddedDocs.js
Original file line number Diff line number Diff line change
Expand Up @@ -143,6 +143,9 @@ import { partitionSelectDocs } from './function/matrix/partitionSelect.js'
import { rangeDocs } from './function/matrix/range.js'
import { reshapeDocs } from './function/matrix/reshape.js'
import { resizeDocs } from './function/matrix/resize.js'
import { broadcastMatricesDocs } from './function/matrix/broadcastMatrices.js'
import { broadcastToDocs } from './function/matrix/broadcastTo.js'
import { broadcastSizesDocs } from './function/matrix/broadcastSizes.js'
import { rotateDocs } from './function/matrix/rotate.js'
import { rotationMatrixDocs } from './function/matrix/rotationMatrix.js'
import { rowDocs } from './function/matrix/row.js'
Expand Down Expand Up @@ -481,6 +484,9 @@ export const embeddedDocs = {
partitionSelect: partitionSelectDocs,
range: rangeDocs,
resize: resizeDocs,
broadcastMatrices: broadcastMatricesDocs,
broadcastTo: broadcastToDocs,
broadcastSizes: broadcastSizesDocs,
reshape: reshapeDocs,
rotate: rotateDocs,
rotationMatrix: rotationMatrixDocs,
Expand Down
16 changes: 16 additions & 0 deletions src/expression/embeddedDocs/function/matrix/broadcastMatrices.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,16 @@
export const broadcastMatricesDocs = {
name: 'broadcastMatrices',
category: 'Matrix',
syntax: [
'broadcastMatrices(A, B)'
],
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Should the syntax read 'broadcastMatrices(A, B, ...)' since any number of arguments are allowed?

description: 'Broadcast any number of arrays or matrices against each other.',
examples: [
'broadcastMatrices([1, 2, 3], [[1], [2], [3]])',
'broadcastMatrices([1, 2; 3, 4], [5, 6; 7, 8])',
'broadcastMatrices([1, 2, 3], [5], [[10], [20], [30]])'
],
seealso: [
'size', 'reshape', 'broadcastSizes', 'broadcastTo'
]
}
16 changes: 16 additions & 0 deletions src/expression/embeddedDocs/function/matrix/broadcastSizes.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,16 @@
export const broadcastSizesDocs = {
name: 'broadcastSizes',
category: 'Matrix',
syntax: [
'broadcastSizes(sizeA, sizeB)'
],
description: 'Broadcast the sizes of matrices to a compatible size',
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Similarly, I am concerned about at least the grammatical correctness here. It's not that any sizes are being broadcast here, per se, is it, but rather that the size resulting from a broadcast is being computed, right? So shouldn't the description be something more like "Compute the size that would result from broadcasting a list of matrices of the given sizes, if possible"? (Again, this function can throw an error if the sizes are incompatible, correct?)

This also observation also, for me, calls into question the name of the function. Would broadcastSize or sizeOfBroadcast be more descriptive, again since no sizes are being broadcast, per se?

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The terminology used by numpy is

numpy.broadcast_shapes(*args)
Broadcast the input shapes into a single shape.

I think I understand where are you coming from, because the original sizes are kept intact. But maybe it's an implicit definition, because when one adds numbers, nothing happens to the numbers, we could say is to compute the result from adding numbers.

Yes this function will throw an error for incompatible sizes.

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No, I meant that it's the matrices that are broadcast, not their sizes. This function does not actually do any broadcasting. It just computes a size, and so it should be named accordingly, I think. Your thoughts?

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Any further thoughts here? I am recommending:

  • rename the function to either sizeOfBroadcast or broadcastSize, and
  • describe it as Compute the size of a matrix that would result from broadcasting matrices of the given sizes, if they are compatible

because, as a matter of the plain meanings of the words, a matrix/array can be broadcast, but a size cannot be broadcast.

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Sorry, even though I had a response planned from the first comment I was debating myself on how to present the response.

Broadcasting, when applied to a matrix's shape, does not imply treating the shape itself as a data structure to be broadcasted. Much like the phrase 'running water' describes flow rather than the physical stride of a 'running person,' broadcasting a shape is a functional convention.

I don't know if the convention all comes from numpy, but it's a common trend stdlib: broadcast-shapes

I think the name of the function is ok as is, but it could be described as you suggest to avoid a circular definition.

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Sure, we should just strive for both the clearest name of the function and the clearest description of what it does. If you think that "broadcastSizes(s, t, u)" is clearer than "broadcastSize(s, t, u)", I am not going to quibble. But I do prefer a more explicit description, thanks.

examples: [
'broadcastSizes([3, 1, 3], [3, 3])',
'broadcastSizes([2, 1], [2, 2])',
'broadcastSizes([1, 3], [2, 3], [4, 2, 3])'
],
seealso: [
'size', 'reshape', 'broadcastTo', 'broadcastMatrices'
]
}
15 changes: 15 additions & 0 deletions src/expression/embeddedDocs/function/matrix/broadcastTo.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,15 @@
export const broadcastToDocs = {
name: 'broadcastTo',
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I worry about the name of this function. It seems to me that since sizes look like matrices, visually, broadcastTo([3], [2, 2]) could look like it is supposed to broadcast the first matrix to be compatible with the second, i.e. produce [3,3] rather than [3, 3; 3, 3]. I would strongly recommend considering renaming the function to broadcastToSize([3], [2, 2]) to avoid this ambiguity.

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I understand. Many of these are taken from numpy and have counterparts in jax / mlx / pytorch and maybe others.

numpy.broadcast_to(array, shape, subok=False)
Broadcast an array to a new shape.

I don't have a strong opinion on this, just please review if it makes sense to follow that convention.

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I am the one less familiar with the territory here. That's why this was couched as a suggestion. Please select the name you think is best, including leaving it be, unless @josdejong weighs in otherwise. Please just post your final decision here.

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Again, to land this PR we need a decision on the final name here. If you are on the fence, I recommend switching to broadcastToSize() in an effort to steer away from the ambiguity I raised. It seems to me a more fully specified name can't be harmful here. (And I don't think we need to worry too much about fidelity to numpy names, since after all to begin with what they call a "shape" we call a "size" so we're not adopting numpy terminology right from the start.)

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I agree about the differences between shape and size. I'm considering broadcastToSize(), will review and resolve this comment.

category: 'Matrix',
syntax: [
'broadcastTo(A, size)'
],
description: 'Broadcast a matrix to a compatible size',
examples: [
'broadcastTo([1, 2, 3], [3, 3])',
'broadcastTo([1, 2; 3, 4], [2, 2])'
],
seealso: [
'size', 'reshape', 'broadcastSizes', 'broadcastMatrices'
]
}
3 changes: 3 additions & 0 deletions src/factoriesAny.js
Original file line number Diff line number Diff line change
Expand Up @@ -88,6 +88,9 @@ export { createOnes } from './function/matrix/ones.js'
export { createRange } from './function/matrix/range.js'
export { createReshape } from './function/matrix/reshape.js'
export { createResize } from './function/matrix/resize.js'
export { createBroadcastMatrices } from './function/matrix/broadcastMatrices.js'
export { createBroadcastSizes } from './function/matrix/broadcastSizes.js'
export { createBroadcastTo } from './function/matrix/broadcastTo.js'
export { createRotate } from './function/matrix/rotate.js'
export { createRotationMatrix } from './function/matrix/rotationMatrix.js'
export { createRow } from './function/matrix/row.js'
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45 changes: 45 additions & 0 deletions src/function/matrix/broadcastMatrices.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,45 @@
import { broadcastArrays } from '../../utils/array.js'
import { factory } from '../../utils/factory.js'
import { isMatrix } from '../../utils/is.js'

const name = 'broadcastMatrices'
const dependencies = ['typed']

export const createBroadcastMatrices = /* #__PURE__ */ factory(name, dependencies, ({ typed }) => {
/**
* Broadcast any number of arrays or matrices against each other.
*
* Syntax:
*
* math.broadcastMatrices(x, y)
* math.broadcastMatrices(x, y, ...)
*
* Examples:
*
* math.broadcastMatrices([1, 2], [[3], [4]]) // returns [[[1, 2], [1, 2]], [[3, 3], [4, 4]]]
* math.broadcastMatrices([2, 3]) // returns [[2, 3]]
* math.broadcastMatrices([2, 3], [3, 1]) // returns [[2, 3], [3, 1]]
*
* See also:
*
* size, reshape, broadcastSizes, broadcastTo
*
* History:
*
* v15.1.1 created
* @param {...(Array|Matrix)} x One or more matrices or arrays
* @return {Array[Array|Matrix]} An array of matrices with the broadcasted sizes.
*/
return typed(name, {
'...Array|Matrix': collections => {
const areMatrices = collections.map(isMatrix)
if (areMatrices.includes(true)) {
const arrays = collections.map((c, i) => areMatrices[i] ? c.valueOf() : c)
const broadcastedArrays = broadcastArrays(...arrays)
const broadcastedCollections = broadcastedArrays.map((arr, i) => areMatrices[i] ? collections[i].create(arr) : arr)
return broadcastedCollections
}
return broadcastArrays(...collections)
}
})
})
36 changes: 36 additions & 0 deletions src/function/matrix/broadcastSizes.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,36 @@
import { broadcastSizes } from '../../utils/array.js'
import { factory } from '../../utils/factory.js'

const name = 'broadcastSizes'
const dependencies = ['typed']

export const createBroadcastSizes = /* #__PURE__ */ factory(name, dependencies, ({ typed }) => {
/**
* Calculate the broadcasted size of one or more matrices or arrays.
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As per my comments on the internal docs, shouldn't this be something more like "Calculate the size that would result from broadcasting one or more matrices or arrays, given the sizes of the input collections."?

The same comments about having documentation on the operation of broadcasting either here or linked here apply to this function as well. Also mention of what happens with incompatible sizes.

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Still needs further editing/documentation.

* Always returns an Array containing numbers.
*
* Syntax:
*
* math.broadcastSizes(x, y)
* math.broadcastSizes(x, y, ...)
*
* Examples:
*
* math.broadcastSizes([2, 3]) // returns [2, 3]
* math.broadcastSizes([2, 3], [3]) // returns [2, 3]
* math.broadcastSizes([1, 2, 3], [1, 2, 1]) // returns [1, 2, 3]
*
* See also:
*
* size, reshape, squeeze, broadcastTo
*
* History:
*
* v15.1.1 created
* @param {...(Array|Matrix)} x One or more matrices or arrays
* @return {Array} A vector with the broadcasted size.
*/
return typed(name, {
'...Array|Matrix': collections => broadcastSizes(...collections.map(collection => collection.valueOf()))
})
})
43 changes: 43 additions & 0 deletions src/function/matrix/broadcastTo.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,43 @@
import { broadcastTo } from '../../utils/array.js'
import { factory } from '../../utils/factory.js'

const name = 'broadcastTo'
const dependencies = ['typed']

export const createBroadcastTo = /* #__PURE__ */ factory(name, dependencies, ({ typed }) => {
/**
* Broadcast an array to a specified size.
*
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Basically the same documentation comments: needs to be clear (how to find out) what broadcasting is, and there should be mention of what happens with incompatible size. Presumably that also means that (for all three functions) there should be an example with incompatible size.

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Still needs further editing/documentation.

* Syntax:
*
* math.broadcastTo(x, size)
*
* Examples:
*
* math.broadcastTo([1, 2, 3], [2, 3]) // returns [[1, 2, 3], [1, 2, 3]]
* math.broadcastTo([2, 3], [2, 2]) // returns [[2, 3], [2, 3]]
*
* See also:
*
* size, reshape, squeeze, broadcastSizes
*
* History:
*
* v15.1.1 created
*
* @param {Array|Matrix} x The array or matrix to broadcast
* @param {Array|Matrix} size The target size
* @return {Array} The broadcasted array
*/
return typed(name, {
'Array, Array': broadcastTo,
'Array, Matrix': (arr, size) => broadcastTo(arr, size.valueOf()),
'Matrix, Array|Matrix': (M, size) => {
const result = M.create()
result._size = size.valueOf()
result._data = broadcastTo(M.valueOf(), size.valueOf())
result._datatype = M.datatype()
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We don't want to be breaking encapsulation of the internal format of matrices here. In particular, this implementation is supposed to work with an arbitrary Matrix implementation, based on its typed-function signature. Hence it can't delve into the internal fields, as they are assuming M is a DenseMatrix, which it might not be.

Therefore, this should be M.create(broadcastTo(M.valueOf(), size.valueOf()), M.datatype()). I understand your concern about unnecessarily recomputing the size. If you really want to get around that, there are some options:

  • Decide that broadcasting always returns a DenseMatrix, and use DenseMatrix creation methods that take your word for the size, if there are any such methods. This plan might not be wise at a time when you/we are contemplating adding other general-purpose matrix implementations besides DenseMatrix, creating a world in which we would not want operations to capriciously convert back into DenseMatrix.
  • Extend the interface of M.create() to optionally take a guaranteed size and/or other validation-short-circuiting options. That might require a number of coordinated changes in the Matrix classes.

Of course I am open to other ideas. But we don't want DenseMatrix-internals-specific code here. This observation also suggests there should be unit tests for the broadcasting functions on SparseMatrix arguments. Please add some if they aren't there.

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For this case I think it can be left as you mention M.create(broadcastTo(M.valueOf(), size.valueOf()), M.datatype()). Maybe for the future some options could be added to the create matrix to skipCloning, skipValidation, skipPreProcess, etc.

return result
}
})
})
2 changes: 1 addition & 1 deletion src/utils/array.js
Original file line number Diff line number Diff line change
Expand Up @@ -810,7 +810,7 @@ export function broadcastArrays (...arrays) {
throw new Error('Insufficient number of arguments in function broadcastArrays')
}
if (arrays.length === 1) {
return arrays[0]
return arrays
}
const sizes = arrays.map(function (array) { return arraySize(array) })
const broadcastedSize = broadcastSizes(...sizes)
Expand Down
35 changes: 35 additions & 0 deletions test/unit-tests/function/matrix/broadcastMatrices.test.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,35 @@
import assert from 'assert'
import math from '../../../../src/defaultInstance.js'

describe('broadcastMatrices', function () {
const matrix = math.matrix
const broadcastMatrices = math.broadcastMatrices
const A = [[1], [2], [3]]
const B = [[10, 20, 30]]
const C = [100]
const broadcastedA = [[1, 1, 1], [2, 2, 2], [3, 3, 3]]
const broadcastedB = [[10, 20, 30], [10, 20, 30], [10, 20, 30]]
const broadcastedC = [[100, 100, 100], [100, 100, 100], [100, 100, 100]]

it('should broadcast matrices', function () {
assert.deepStrictEqual(broadcastMatrices(matrix(A), matrix(B)), [matrix(broadcastedA), matrix(broadcastedB)])
assert.deepStrictEqual(broadcastMatrices(matrix(A), matrix(C)), [matrix(A), matrix([[100], [100], [100]])])
assert.deepStrictEqual(broadcastMatrices(matrix(B), matrix(A)), [matrix(broadcastedB), matrix(broadcastedA)])
assert.deepStrictEqual(broadcastMatrices(matrix(A), matrix(B), matrix(C)), [matrix(broadcastedA), matrix(broadcastedB), matrix(broadcastedC)])
})

it('should broadcast arrays', function () {
assert.deepStrictEqual(broadcastMatrices(A, B), [broadcastedA, broadcastedB])
assert.deepStrictEqual(broadcastMatrices(B, A), [broadcastedB, broadcastedA])
assert.deepStrictEqual(broadcastMatrices(A, B, C), [broadcastedA, broadcastedB, broadcastedC])
assert.deepStrictEqual(broadcastMatrices(A), [A])
assert.deepStrictEqual(broadcastMatrices(B, C, A), [broadcastedB, broadcastedC, broadcastedA])
})

it('should throw an error if sizes are not compatible', function () {
assert.throws(function () { broadcastMatrices(matrix([[1, 2], [3, 4]]), matrix([[1, 2, 3]])) }, /Error: shape mismatch: /)
assert.throws(function () { broadcastMatrices([[1, 2], [3, 4]], matrix([[1, 2, 3]])) }, /Error: shape mismatch: /)
assert.throws(function () { broadcastMatrices(matrix([[1, 2], [3, 4]]), [[1, 2, 3]]) }, /Error: shape mismatch: /)
assert.throws(function () { broadcastMatrices([[1, 2], [3, 4]], [[1, 2, 3]]) }, /Error: shape mismatch: /)
})
})
27 changes: 27 additions & 0 deletions test/unit-tests/function/matrix/broadcastSizes.test.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
import assert from 'assert'
import math from '../../../../src/defaultInstance.js'

describe('broadcastSizes', function () {
const broadcastSizes = math.broadcastSizes
const matrix = math.matrix

it('should broadcast sizes', function () {
assert.deepStrictEqual(broadcastSizes([2, 3]), [2, 3])
assert.deepStrictEqual(broadcastSizes([3, 3], [3, 1]), [3, 3])
assert.deepStrictEqual(broadcastSizes([2, 1], [1, 3]), [2, 3])
assert.deepStrictEqual(broadcastSizes([5, 4, 3], [1, 4, 1]), [5, 4, 3])
assert.deepStrictEqual(broadcastSizes([3], [2, 3]), [2, 3])
assert.deepStrictEqual(broadcastSizes([1, 3], [2, 1]), [2, 3])
})

it('should throw an error if sizes are not compatible', function () {
assert.throws(function () { broadcastSizes([2, 3], [3, 2]) }, /Error: shape mismatch: /)
assert.throws(function () { broadcastSizes([2, 3], [2, 3, 4]) }, /Error: shape mismatch: /)
})

it('should broadcast sizes of mixed arrays and matrices', function () {
assert.deepStrictEqual(broadcastSizes([3, 3], matrix([3, 1])), [3, 3])
assert.deepStrictEqual(broadcastSizes(matrix([2, 1]), [1, 3]), [2, 3])
assert.deepStrictEqual(broadcastSizes(matrix([5, 4, 3]), matrix([1, 4, 1])), [5, 4, 3])
})
})
29 changes: 29 additions & 0 deletions test/unit-tests/function/matrix/broadcastTo.test.js
Original file line number Diff line number Diff line change
@@ -0,0 +1,29 @@
import assert from 'assert'
import math from '../../../../src/defaultInstance.js'

describe('broadcastTo', function () {
const broadcastTo = math.broadcastTo
const matrix = math.matrix

it('should broadcast arrays to a given size', function () {
assert.deepStrictEqual(broadcastTo([1, 2, 3], [2, 3]), [[1, 2, 3], [1, 2, 3]])
assert.deepStrictEqual(broadcastTo([2, 3], [2, 2]), [[2, 3], [2, 3]])
})

it('should broadcast matrices to a given size', function () {
assert.deepStrictEqual(broadcastTo(matrix([1, 2, 3]), [2, 3]), matrix([[1, 2, 3], [1, 2, 3]]))
assert.deepStrictEqual(broadcastTo(matrix([2, 3]), [2, 2]), matrix([[2, 3], [2, 3]]))
})

it('should broadcast mixed arrays and matrices to a given size', function () {
assert.deepStrictEqual(broadcastTo([1, 2, 3], matrix([2, 3])), [[1, 2, 3], [1, 2, 3]])
assert.deepStrictEqual(broadcastTo(matrix([2, 3]), [2, 2]), matrix([[2, 3], [2, 3]]))
assert.deepStrictEqual(broadcastTo(matrix([1, 2, 3]), matrix([2, 3])), matrix([[1, 2, 3], [1, 2, 3]]))
assert.deepStrictEqual(broadcastTo([2, 3], matrix([2, 2])), [[2, 3], [2, 3]])
})

it('should throw an error if sizes are not compatible', function () {
assert.throws(function () { broadcastTo([1, 2], [2, 3]) }, /Error: shape mismatch: /)
assert.throws(function () { broadcastTo(matrix([1, 2]), [2, 3]) }, /Error: shape mismatch: /)
})
})
12 changes: 6 additions & 6 deletions test/unit-tests/utils/array.test.js
Original file line number Diff line number Diff line change
Expand Up @@ -701,19 +701,19 @@ describe('util.array', function () {
assert.deepStrictEqual(broadcastArrays([1, 2], [[3], [4]], [5, 6]), [[[1, 2], [1, 2]], [[3, 3], [4, 4]], [[5, 6], [5, 6]]])
})

it('should broadcast leave arrays as such when only one is supplied', function () {
assert.deepStrictEqual(broadcastArrays([1, 2]), [1, 2], [3, 4])
assert.deepStrictEqual(broadcastArrays([[3], [4]]), [[3], [4]])
assert.deepStrictEqual(broadcastArrays([[5, 6]]), [[5, 6]])
it('should broadcast a single array, returning the array itself in an array', function () {
assert.deepStrictEqual(broadcastArrays([1, 2])[0], [1, 2])
assert.deepStrictEqual(broadcastArrays([[3], [4]])[0], [[3], [4]])
assert.deepStrictEqual(broadcastArrays([[5, 6]])[0], [[5, 6]])
})

it('should throw an arryor when the broadcasting rules don\'t apply', function () {
it('should throw an error when the broadcasting rules don\'t apply', function () {
assert.throws(function () { broadcastArrays([1, 2], [1, 2, 3]) })
assert.throws(function () { broadcastArrays([1, 2], [1, 2, 3], [4, 5]) })
assert.throws(function () { broadcastArrays([[1, 2], [1, 2]], [[1, 2, 3]]) })
})

it('should throw an arryor when not enough arguments are supplied', function () {
it('should throw an error when not enough arguments are supplied', function () {
assert.throws(function () { broadcastArrays() })
})
})
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