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The list of ops below is copied from https://github.com/ml-explore/mlx-swift/blob/36d63a1fc386a551df14f5b67df1756dc17d2ebc/Source/MLX/Documentation.docc/free-functions.md and they don't necessarily match one-to-one in the rust binding. The op will be checked out if an equivalent is implemented in the rust binding.
Please note that random ops are NOT included
abs(_:stream:)
acos(_:stream:)
acosh(_:stream:)
add(_:_:stream:)
asin(_:stream:)
asinh(_:stream:)
atan(_:stream:)
atanh(_:stream:)
ceil(_:stream:)
clip(_:min:max:stream:)
clip(_:max:stream:)
cos(_:stream:)
cosh(_:stream:)
divide(_:_:stream:)
erf(_:stream:)
erfInverse(_:stream:)
exp(_:stream:)
expm1(_:stream:)
floor(_:stream:)
floorDivide(_:_:stream:)
log(_:stream:)
log10(_:stream:)
log1p(_:stream:)
log2(_:stream:)
logAddExp(_:_:stream:)
logicalNot(_:stream:)
matmul(_:_:stream:)
maximum(_:_:stream:)
minimum(_:_:stream:)
multiply(_:_:stream:)
negative(_:stream:)
notEqual(_:_:stream:)
pow(_:_:stream:)-7pe7j
pow(_:_:stream:)-49xi0
pow(_:_:stream:)-8ie9c
reciprocal(_:stream:)
remainder(_:_:stream:)
round(_:decimals:stream:)
rsqrt(_:stream:)
sigmoid(_:stream:)
sign(_:stream:)
sin(_:stream:)
sinh(_:stream:)
softmax(_:precise:stream:)
softmax(_:axis:precise:stream:)
softmax(_:axes:precise:stream:)
sqrt(_:stream:)
square(_:stream:)
subtract(_:_:stream:)
tan(_:stream:)
tanh(_:stream:)
which(_:_:_:stream:)
conv1d(_:_:stride:padding:dilation:groups:stream:)
conv2d(_:_:stride:padding:dilation:groups:stream:)
convolve(_:_:mode:stream:)
cummax(_:axis:reverse:inclusive:stream:)
cummax(_:reverse:inclusive:stream:)
cummin(_:axis:reverse:inclusive:stream:)
cummin(_:reverse:inclusive:stream:)
cumprod(_:axis:reverse:inclusive:stream:)
cumprod(_:reverse:inclusive:stream:)
cumsum(_:axis:reverse:inclusive:stream:)
cumsum(_:reverse:inclusive:stream:)
argMax(_:axis:keepDims:stream:)
argMax(_:keepDims:stream:)
argMin(_:axis:keepDims:stream:)
argMin(_:keepDims:stream:)
argPartition(_:kth:axis:stream:)
argPartition(_:kth:stream:)
argSort(_:axis:stream:)
argSort(_:stream:)
takeAlong(_:_:axis:stream:)
takeAlong(_:_:stream:)
take(_:_:stream:)
take(_:_:axis:stream:)
top(_:k:stream:)
top(_:k:axis:stream:)
MLX/zeros(_:type:stream:)
MLX/zeros(like:stream:)
MLX/ones(_:type:stream:)
MLX/ones(like:stream:)
MLX/eye(_:m:k:type:stream:)
MLX/full(_:values:type:stream:)
MLX/full(_:values:stream:)
MLX/identity(_:type:stream:)
MLX/linspace(_:_:count:stream:)-7vj0o
MLX/linspace(_:_:count:stream:)-6w959
MLX/repeated(_:count:axis:stream:)
MLX/repeated(_:count:stream:)
MLX/repeat(_:count:axis:stream:)
MLX/repeat(_:count:stream:)
MLX/tri(_:m:k:type:stream:)
tril(_:k:stream:)
triu(_:k:stream:)
loadArray(url:stream:)
loadArrays(url:stream:)
loadArraysAndMetadata(url:stream:)
save(array:url:stream:)
save(arrays:metadata:url:stream:)
all(_:axes:keepDims:stream:)
all(_:keepDims:stream:)
all(_:axis:keepDims:stream:)
allClose(_:_:rtol:atol:equalNaN:stream:)
any(_:axes:keepDims:stream:)
any(_:keepDims:stream:)
any(_:axis:keepDims:stream:)
arrayEqual(_:_:equalNAN:stream:)
equal(_:_:stream:)
greater(_:_:stream:)
greaterEqual(_:_:stream:)
less(_:_:stream:)
lessEqual(_:_:stream:)
where(_:_:_:stream:)
logSumExp(_:axes:keepDims:stream:)
product(_:axis:keepDims:stream:)
max(_:axes:keepDims:stream:)
mean(_:axes:keepDims:stream:)
min(_:axes:keepDims:stream:)
sum(_:axes:keepDims:stream:)
variance(_:axes:keepDims:ddof:stream:)
asStrided(_:_:strides:offset:stream:)
broadcast(_:to:stream:)
concatenated(_:axis:stream:)
expandedDimensions(_:axes:stream:)
expandedDimensions(_:axis:stream:)
movedAxis(_:source:destination:stream:)
padded(_:width:value:stream:)
padded(_:widths:value:stream:)
reshaped(_:_:stream:)-5x3y0
reshaped(_:_:stream:)-96lgr
split(_:indices:axis:stream:)
split(_:parts:axis:stream:)
split(_:axis:stream:)
squeezed(_:stream:)
squeezed(_:axis:stream:)
squeezed(_:axes:stream:)
stacked(_:axis:stream:)
swappedAxes(_:_:_:stream:)
transposed(_:stream:)
transposed(_:axis:stream:)
transposed(_:axes:stream:)
transposed(_:_:stream:)
T(_:stream:)
sorted(_:stream:)
sorted(_:axis:stream:)
partitioned(_:kth:stream:)
partitioned(_:kth:axis:stream:)
quantized(_:groupSize:bits:stream:)
quantizedMatmul(_:_:scales:biases:transpose:groupSize:bits:stream:)
dequantized(_:scales:biases:groupSize:bits:stream:)
eval(_:)-190w1
eval(_:)-3b2g9
eval(_:)-8fexv
eval(_:)-91pbd
asyncEval(_:)-6j4zg
asyncEval(_:)-6uc2e
asyncEval(_:)-11gzm
grad(_:)-r8dv
grad(_:)-7z6i
grad(_:argumentNumbers:)-2ictk
grad(_:argumentNumbers:)-5va2g
valueAndGrad(_:)
valueAndGrad(_:argumentNumbers:)
stopGradient(_:stream:)
jvp(_:primals:tangents:)
vjp(_:primals:cotangents:)
diag(_:k:stream:)
diagonal(_:offset:axis1:axis2:stream:)
The text was updated successfully, but these errors were encountered:
No branches or pull requests
The list of ops below is copied from https://github.com/ml-explore/mlx-swift/blob/36d63a1fc386a551df14f5b67df1756dc17d2ebc/Source/MLX/Documentation.docc/free-functions.md and they don't necessarily match one-to-one in the rust binding. The op will be checked out if an equivalent is implemented in the rust binding.
Please note that random ops are NOT included
Topics
Element-wise Arithmetic Free Functions
abs(_:stream:)
acos(_:stream:)
acosh(_:stream:)
add(_:_:stream:)
asin(_:stream:)
asinh(_:stream:)
atan(_:stream:)
atanh(_:stream:)
ceil(_:stream:)
clip(_:min:max:stream:)
clip(_:max:stream:)
cos(_:stream:)
cosh(_:stream:)
divide(_:_:stream:)
erf(_:stream:)
erfInverse(_:stream:)
exp(_:stream:)
expm1(_:stream:)
floor(_:stream:)
floorDivide(_:_:stream:)
log(_:stream:)
log10(_:stream:)
log1p(_:stream:)
log2(_:stream:)
logAddExp(_:_:stream:)
logicalNot(_:stream:)
matmul(_:_:stream:)
maximum(_:_:stream:)
minimum(_:_:stream:)
multiply(_:_:stream:)
negative(_:stream:)
notEqual(_:_:stream:)
pow(_:_:stream:)-7pe7j
pow(_:_:stream:)-49xi0
pow(_:_:stream:)-8ie9c
reciprocal(_:stream:)
remainder(_:_:stream:)
round(_:decimals:stream:)
rsqrt(_:stream:)
sigmoid(_:stream:)
sign(_:stream:)
sin(_:stream:)
sinh(_:stream:)
softmax(_:precise:stream:)
softmax(_:axis:precise:stream:)
softmax(_:axes:precise:stream:)
sqrt(_:stream:)
square(_:stream:)
subtract(_:_:stream:)
tan(_:stream:)
tanh(_:stream:)
which(_:_:_:stream:)
Convolution
conv1d(_:_:stride:padding:dilation:groups:stream:)
conv2d(_:_:stride:padding:dilation:groups:stream:)
convolve(_:_:mode:stream:)
Cumulative
cummax(_:axis:reverse:inclusive:stream:)
cummax(_:reverse:inclusive:stream:)
cummin(_:axis:reverse:inclusive:stream:)
cummin(_:reverse:inclusive:stream:)
cumprod(_:axis:reverse:inclusive:stream:)
cumprod(_:reverse:inclusive:stream:)
cumsum(_:axis:reverse:inclusive:stream:)
cumsum(_:reverse:inclusive:stream:)
Indexes
argMax(_:axis:keepDims:stream:)
argMax(_:keepDims:stream:)
argMin(_:axis:keepDims:stream:)
argMin(_:keepDims:stream:)
argPartition(_:kth:axis:stream:)
argPartition(_:kth:stream:)
argSort(_:axis:stream:)
argSort(_:stream:)
takeAlong(_:_:axis:stream:)
takeAlong(_:_:stream:)
take(_:_:stream:)
take(_:_:axis:stream:)
top(_:k:stream:)
top(_:k:axis:stream:)
Factory
MLX/zeros(_:type:stream:)
MLX/zeros(like:stream:)
MLX/ones(_:type:stream:)
MLX/ones(like:stream:)
MLX/eye(_:m:k:type:stream:)
MLX/full(_:values:type:stream:)
MLX/full(_:values:stream:)
MLX/identity(_:type:stream:)
MLX/linspace(_:_:count:stream:)-7vj0o
MLX/linspace(_:_:count:stream:)-6w959
MLX/repeated(_:count:axis:stream:)
MLX/repeated(_:count:stream:)
MLX/repeat(_:count:axis:stream:)
MLX/repeat(_:count:stream:)
MLX/tri(_:m:k:type:stream:)
tril(_:k:stream:)
triu(_:k:stream:)
I/O
loadArray(url:stream:)
loadArrays(url:stream:)
loadArraysAndMetadata(url:stream:)
save(array:url:stream:)
save(arrays:metadata:url:stream:)
Logical
all(_:axes:keepDims:stream:)
all(_:keepDims:stream:)
all(_:axis:keepDims:stream:)
allClose(_:_:rtol:atol:equalNaN:stream:)
any(_:axes:keepDims:stream:)
any(_:keepDims:stream:)
any(_:axis:keepDims:stream:)
arrayEqual(_:_:equalNAN:stream:)
equal(_:_:stream:)
greater(_:_:stream:)
greaterEqual(_:_:stream:)
less(_:_:stream:)
lessEqual(_:_:stream:)
logicalNot(_:stream:)
notEqual(_:_:stream:)
where(_:_:_:stream:)
Logical Reduction
all(_:axes:keepDims:stream:)
any(_:axes:keepDims:stream:)
Aggregating Reduction
logSumExp(_:axes:keepDims:stream:)
product(_:axis:keepDims:stream:)
max(_:axes:keepDims:stream:)
mean(_:axes:keepDims:stream:)
min(_:axes:keepDims:stream:)
sum(_:axes:keepDims:stream:)
variance(_:axes:keepDims:ddof:stream:)
Shapes
asStrided(_:_:strides:offset:stream:)
broadcast(_:to:stream:)
concatenated(_:axis:stream:)
expandedDimensions(_:axes:stream:)
expandedDimensions(_:axis:stream:)
movedAxis(_:source:destination:stream:)
padded(_:width:value:stream:)
padded(_:widths:value:stream:)
reshaped(_:_:stream:)-5x3y0
reshaped(_:_:stream:)-96lgr
split(_:indices:axis:stream:)
split(_:parts:axis:stream:)
split(_:axis:stream:)
squeezed(_:stream:)
squeezed(_:axis:stream:)
squeezed(_:axes:stream:)
stacked(_:axis:stream:)
swappedAxes(_:_:_:stream:)
transposed(_:stream:)
transposed(_:axis:stream:)
transposed(_:axes:stream:)
transposed(_:_:stream:)
T(_:stream:)
Sorting
argSort(_:axis:stream:)
argPartition(_:kth:axis:stream:)
sorted(_:stream:)
sorted(_:axis:stream:)
partitioned(_:kth:stream:)
partitioned(_:kth:axis:stream:)
Quantization
quantized(_:groupSize:bits:stream:)
quantizedMatmul(_:_:scales:biases:transpose:groupSize:bits:stream:)
dequantized(_:scales:biases:groupSize:bits:stream:)
Evaluation and Transformation
eval(_:)-190w1
eval(_:)-3b2g9
eval(_:)-8fexv
eval(_:)-91pbd
asyncEval(_:)-6j4zg
asyncEval(_:)-6uc2e
asyncEval(_:)-11gzm
grad(_:)-r8dv
grad(_:)-7z6i
grad(_:argumentNumbers:)-2ictk
grad(_:argumentNumbers:)-5va2g
valueAndGrad(_:)
valueAndGrad(_:argumentNumbers:)
stopGradient(_:stream:)
jvp(_:primals:tangents:)
vjp(_:primals:cotangents:)
Other
diag(_:k:stream:)
diagonal(_:offset:axis1:axis2:stream:)
The text was updated successfully, but these errors were encountered: