This file is automatically generated from the def files via this script. Do not modify directly and instead edit operator definitions.
Op Name | Parameters | OpSet Version | Types Supported |
---|---|---|---|
Operator Domain: ai.onnx.ml | |||
Abs | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[6, 12] | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Acos | (in input:T, out output:T) | 7+ | T = tensor(float) |
Acosh | (in input:T, out output:T) | 9+ | T = tensor(float) |
Add | (in A:T, in B:T, out C:T) | 14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Affine | (in X:T, out Y:T) | 1+ | T = tensor(float) |
And | (in A:T, in B:T, out C:T1) | 7+ | T = tensor(bool) T1 = tensor(bool) |
ArgMax | (in data:T, out reduced:tensor(int64)) | 13+ | T = tensor(double), tensor(float), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(float), tensor(int32) | ||
ArgMin | (in data:T, out reduced:tensor(int64)) | 13+ | T = tensor(double), tensor(float), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(float), tensor(int32) | ||
ArrayFeatureExtractor | (in X:T, in Y:tensor(int64), out Z:T) | 1+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string) |
Asin | (in input:T, out output:T) | 7+ | T = tensor(float) |
Asinh | (in input:T, out output:T) | 9+ | T = tensor(float) |
Atan | (in input:T, out output:T) | 7+ | T = tensor(float) |
Atanh | (in input:T, out output:T) | 9+ | T = tensor(float) |
AveragePool | (in X:T, out Y:T) | 11+ | T = tensor(float) |
10 | T = tensor(float) | ||
[7, 9] | T = tensor(float) | ||
BatchNormalization | (in X:T, in scale:T, in B:T, in input_mean:U, in input_var:U, out Y:T, out running_mean:U, out running_var:U) or (in X:T, in scale:T, in B:T, in mean:T, in var:T, out Y:T, out mean:T, out var:T, out saved_mean:T, out saved_var:T) | 14+ | T = tensor(double), tensor(float) |
[9, 13] | T = tensor(double), tensor(float) | ||
[7, 8] | T = tensor(double), tensor(float) | ||
Binarizer | (in X:T, out Y:T) | 1+ | T = tensor(float) |
BitShift | (in X:T, in Y:T, out Z:T) | 11+ | T = tensor(uint32), tensor(uint64), tensor(uint8) |
Cast | (in input:T1, out output:T2) | 13+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[6, 12] | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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CastMap | (in X:T1, out Y:T2) | 1+ | T1 = map(int64,tensor(float)), map(int64,tensor(string)) T2 = tensor(float), tensor(int64), tensor(string) |
CategoryMapper | (in X:T1, out Y:T2) | 1+ | T1 = tensor(int64), tensor(string) T2 = tensor(int64), tensor(string) |
Ceil | (in X:T, out Y:T) | 13+ | T = tensor(float) |
[6, 12] | T = tensor(float) | ||
Celu | (in X:T, out Y:T) | 12+ | T = tensor(float) |
Clip | (in input:T, in min:T, in max:T, out output:T) or (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8) | ||
11 | T = tensor(float) | ||
[6, 10] | T = tensor(float) | ||
Compress | (in input:T, in condition:T1, out output:T) | 11+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
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Concat | (in inputs:T, out concat_result:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[4, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
ConcatFromSequence | (in input_sequence:S, out concat_result:T) | 11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
ConstantOfShape | (in input:T1, out output:T2) | 9+ | T1 = tensor(int64) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Conv | (in X:T, in W:T, in B:T, out Y:T) | 11+ | T = tensor(float) |
[1, 10] | T = tensor(float) | ||
ConvInteger | (in x:T1, in w:T2, in x_zero_point:T1, in w_zero_point:T2, out y:T3) | 10+ | T1 = tensor(uint8) T2 = tensor(uint8) T3 = tensor(int32) |
ConvTranspose | (in X:T, in W:T, in B:T, out Y:T) | 11+ | T = tensor(float) |
[1, 10] | T = tensor(float) | ||
Cos | (in input:T, out output:T) | 7+ | T = tensor(float) |
Cosh | (in input:T, out output:T) | 9+ | T = tensor(float) |
Crop | (in input:T, out output:T) | 1+ | T = tensor(float) |
CumSum | (in x:T, in axis:T2, out y:T) | 14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int32), tensor(int64) |
[11, 13] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int32), tensor(int64) |
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DepthToSpace | (in input:T, out output:T) | 13+ | T = tensor(float) |
[11, 12] | T = tensor(float) | ||
[1, 10] | T = tensor(float) | ||
DequantizeLinear | (in x:T, in x_scale:tensor(float), in x_zero_point:T, out y:tensor(float)) | 13+ | T = tensor(int32), tensor(int8), tensor(uint8) |
[10, 12] | T = tensor(int32), tensor(int8), tensor(uint8) | ||
Det | (in X:T, out Y:T) | 11+ | T = tensor(float) |
DictVectorizer | (in X:T1, out Y:T2) | 1+ | T1 = map(int64,tensor(double)), map(int64,tensor(float)), map(int64,tensor(string)), map(string,tensor(double)), map(string,tensor(float)), map(string,tensor(int64)) T2 = tensor(double), tensor(float), tensor(int64), tensor(string) |
Div | (in A:T, in B:T, out C:T) | 14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Dropout | (in data:T, in ratio:T1, in training_mode:T2, out output:T, out mask:T2) or (in data:T, out output:T, out mask:T) or (in data:T, out output:T, out mask:T1) | 13+ | T = tensor(double), tensor(float) T1 = tensor(double), tensor(float) T2 = tensor(bool) |
12 | T = tensor(double), tensor(float) T1 = tensor(double), tensor(float) T2 = tensor(bool) |
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[10, 11] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(bool) |
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[7, 9] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(bool) |
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DynamicQuantizeLinear | (in x:T1, out y:T2, out y_scale:tensor(float), out y_zero_point:T2) | 11+ | T2 = tensor(uint8) |
DynamicSlice | (in data:T, in starts:Tind, in ends:Tind, in axes:Tind, out output:T) | 1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
Einsum | (in Inputs:T, out Output:T) | 12+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
Elu | (in X:T, out Y:T) | 6+ | T = tensor(float) |
Equal | (in A:T, in B:T, out C:T1) | 13+ | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
[11, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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[7, 10] | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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Erf | (in input:T, out output:T) | 13+ | T = tensor(float) |
[9, 12] | T = tensor(float) | ||
Exp | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
Expand | (in input:T, in shape:tensor(int64), out output:T) | 13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[8, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
EyeLike | (in input:T1, out output:T2) | 9+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) T2 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) |
FeatureVectorizer | (in X:T1, out Y:tensor(float)) | 1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) |
Flatten | (in input:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 8] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Floor | (in X:T, out Y:T) | 13+ | T = tensor(float) |
[6, 12] | T = tensor(float) | ||
GRU | (in X:T, in W:T, in R:T, in B:T, in sequence_lens:T1, in initial_h:T, out Y:T, out Y_h:T) | 7+ | T = tensor(double), tensor(float) T1 = tensor(int32) |
Gather | (in data:T, in indices:Tind, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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GatherElements | (in data:T, in indices:Tind, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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GatherND | (in data:T, in indices:tensor(int64), out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int64) |
12 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int64) |
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11 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int64) |
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Gemm | (in A:T, in B:T, in C:T, out Y:T) | 13+ | T = tensor(double), tensor(float) |
[11, 12] | T = tensor(double), tensor(float) | ||
[9, 10] | T = tensor(double), tensor(float) | ||
[7, 8] | T = tensor(double), tensor(float) | ||
GlobalAveragePool | (in X:T, out Y:T) | 1+ | T = tensor(float) |
GlobalLpPool | (in X:T, out Y:T) | 2+ | T = tensor(float) |
GlobalMaxPool | (in X:T, out Y:T) | 1+ | T = tensor(float) |
Greater | (in A:T, in B:T, out C:T1) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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[7, 8] | T = tensor(double), tensor(float) T1 = tensor(bool) |
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GreaterOrEqual | (in A:T, in B:T, out C:T1) | 12+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
HardSigmoid | (in X:T, out Y:T) | 6+ | T = tensor(float) |
Hardmax | (in input:T, out output:T) | 13+ | T = tensor(float) |
[11, 12] | T = tensor(float) | ||
[1, 10] | T = tensor(float) | ||
Identity | (in input:T, out output:T) or (in input:V, out output:V) | 14+ | V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
If | (in cond:B, out outputs:V) | 13+ | B = tensor(bool) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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[1, 10] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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ImageScaler | (in input:T, out output:T) | 1+ | T = tensor(float) |
Imputer | (in X:T, out Y:T) | 1+ | T = tensor(float), tensor(int64) |
InstanceNormalization | (in input:T, in scale:T, in B:T, out output:T) | 6+ | T = tensor(float) |
IsInf | (in X:T1, out Y:T2) | 10+ | T1 = tensor(double), tensor(float) T2 = tensor(bool) |
IsNaN | (in X:T1, out Y:T2) | 13+ | T1 = tensor(float), tensor(float16) T2 = tensor(bool) |
[9, 12] | T1 = tensor(float), tensor(float16) T2 = tensor(bool) |
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LRN | (in X:T, out Y:T) | 13+ | T = tensor(float) |
[1, 12] | T = tensor(float) | ||
LSTM | (in X:T, in W:T, in R:T, in B:T, in sequence_lens:T1, in initial_h:T, in initial_c:T, in P:T, out Y:T, out Y_h:T, out Y_c:T) | 7+ | T = tensor(double), tensor(float) T1 = tensor(int32) |
LabelEncoder | (in X:T1, out Y:T2) | 2+ | T1 = tensor(float), tensor(int64), tensor(string) T2 = tensor(float), tensor(int64), tensor(string) |
1 | T1 = tensor(int64), tensor(string) T2 = tensor(int64), tensor(string) |
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LayerNormalization | (in X:T, in Scale:T, in B:T, out Y:T, out Mean:U, out InvStdDev:U) | 1+ | T = tensor(double), tensor(float) |
LeakyRelu | (in X:T, out Y:T) | 6+ | T = tensor(float) |
Less | (in A:T, in B:T, out C:T1) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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[7, 8] | T = tensor(double), tensor(float) T1 = tensor(bool) |
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LessOrEqual | (in A:T, in B:T, out C:T1) | 12+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
LinearClassifier | (in X:T1, out Y:T2, out Z:tensor(float)) | 1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int64), tensor(string) |
LinearRegressor | (in X:T, out Y:tensor(float)) | 1+ | T = tensor(float) |
Log | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
LogSoftmax | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float) |
[11, 12] | T = tensor(double), tensor(float) | ||
[1, 10] | T = tensor(double), tensor(float) | ||
Loop | (in M:I, in cond:B, in v_initial:V, out v_final_and_scan_outputs:V) | 13+ | B = tensor(bool) I = tensor(int64) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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[1, 10] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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LpNormalization | (in input:T, out output:T) | 1+ | T = tensor(double), tensor(float) |
LpPool | (in X:T, out Y:T) | 11+ | T = tensor(float) |
[2, 10] | T = tensor(float) | ||
MatMul | (in A:T, in B:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
[9, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[1, 8] | T = tensor(double), tensor(float) | ||
MatMulInteger | (in A:T1, in B:T2, in a_zero_point:T1, in b_zero_point:T2, out Y:T3) | 10+ | T1 = tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int32) |
Max | (in data_0:T, out max:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[8, 11] | T = tensor(double), tensor(float) | ||
[6, 7] | T = tensor(float) | ||
MaxPool | (in X:T, out Y:T) or (in X:T, out Y:T, out Indices:I) | 12+ | I = tensor(int64) T = tensor(double), tensor(float), tensor(int8), tensor(uint8) |
[8, 11] | I = tensor(int64) T = tensor(double), tensor(float) |
||
[1, 7] | T = tensor(float) | ||
MaxRoiPool | (in X:T, in rois:T, out Y:T) | 1+ | T = tensor(float) |
MaxUnpool | (in X:T1, in I:T2, in output_shape:T2, out output:T1) | 11+ | T1 = tensor(float) T2 = tensor(int64) |
[9, 10] | T1 = tensor(float) T2 = tensor(int64) |
||
Mean | (in data_0:T, out mean:T) | 13+ | T = tensor(float) |
[8, 12] | T = tensor(float) | ||
[6, 7] | T = tensor(float) | ||
MeanVarianceNormalization | (in X:T, out Y:T) or (in input:T, out output:T) | 13+ | T = tensor(float) |
[9, 12] | T = tensor(float) | ||
[1, 8] | T = tensor(float) | ||
Min | (in data_0:T, out min:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[8, 11] | T = tensor(double), tensor(float) | ||
[6, 7] | T = tensor(float) | ||
Mod | (in A:T, in B:T, out C:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[10, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Mul | (in A:T, in B:T, out C:T) | 14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Multinomial | (in input:T1, out output:T2) | 7+ | T1 = tensor(float) T2 = tensor(int32), tensor(int64) |
Neg | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8) |
[6, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8) | ||
NonZero | (in X:T, out Y:tensor(int64)) | 13+ | T = tensor(bool), tensor(float), tensor(int32), tensor(int64), tensor(uint8) |
[9, 12] | T = tensor(bool), tensor(float), tensor(int32), tensor(int64), tensor(uint8) | ||
Normalizer | (in X:T, out Y:tensor(float)) | 1+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
Not | (in X:T, out Y:T) | 1+ | T = tensor(bool) T1 = tensor(bool) |
OneHot | (in indices:T1, in depth:T2, in values:T3, out output:T3) | 11+ | T1 = tensor(float), tensor(int32), tensor(int64) T2 = tensor(float), tensor(int32), tensor(int64) T3 = tensor(float), tensor(int32), tensor(int64), tensor(string) |
[9, 10] | T1 = tensor(float), tensor(int32), tensor(int64) T2 = tensor(float), tensor(int32), tensor(int64) T3 = tensor(float), tensor(int32), tensor(int64), tensor(string) |
||
OneHotEncoder | (in X:T, out Y:tensor(float)) | 1+ | T = tensor(double), tensor(float), tensor(int64), tensor(string) |
Or | (in A:T, in B:T, out C:T1) | 7+ | T = tensor(bool) T1 = tensor(bool) |
PRelu | (in X:T, in slope:T, out Y:T) | 9+ | T = tensor(float) |
[7, 8] | T = tensor(float) | ||
Pad | (in data:T, in pads:tensor(int64), in constant_value:T, out output:T) or (in data:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[2, 10] | T = tensor(double), tensor(float) | ||
ParametricSoftplus | (in X:T, out Y:T) | 1+ | T = tensor(float) |
Pow | (in X:T, in Y:T, out Z:T) or (in X:T, in Y:T1, out Z:T) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) |
12 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) |
||
[7, 11] | T = tensor(double), tensor(float) | ||
QLinearConv | (in x:T1, in x_scale:tensor(float), in x_zero_point:T1, in w:T2, in w_scale:tensor(float), in w_zero_point:T2, in y_scale:tensor(float), in y_zero_point:T3, in B:T4, out y:T3) | 10+ | T1 = tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(uint8) T4 = tensor(int32) |
QLinearMatMul | (in a:T1, in a_scale:tensor(float), in a_zero_point:T1, in b:T2, in b_scale:tensor(float), in b_zero_point:T2, in y_scale:tensor(float), in y_zero_point:T3, out y:T3) | 10+ | T1 = tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(uint8) |
QuantizeLinear | (in x:T1, in y_scale:tensor(float), in y_zero_point:T2, out y:T2) | 13+ | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
[10, 12] | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
||
RNN | (in X:T, in W:T, in R:T, in B:T, in sequence_lens:T1, in initial_h:T, out Y:T, out Y_h:T) | 7+ | T = tensor(float) T1 = tensor(int32) |
RandomNormal | (out output:T) | 1+ | T = tensor(double), tensor(float) |
RandomNormalLike | (in input:T1, out output:T2) | 1+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(double), tensor(float) |
RandomUniform | (out output:T) | 1+ | T = tensor(double), tensor(float) |
RandomUniformLike | (in input:T1, out output:T2) | 1+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(double), tensor(float) |
Range | (in start:T, in limit:T, in delta:T, out output:T) | 11+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64) |
Reciprocal | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
ReduceL1 | (in data:T, out reduced:T) | 13+ | T = tensor(float), tensor(int32) |
[11, 12] | T = tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(float), tensor(int32) | ||
ReduceL2 | (in data:T, out reduced:T) | 13+ | T = tensor(float), tensor(int32) |
[11, 12] | T = tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(float), tensor(int32) | ||
ReduceLogSum | (in data:T, out reduced:T) | 13+ | T = tensor(float), tensor(int32) |
[11, 12] | T = tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(float), tensor(int32) | ||
ReduceLogSumExp | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32) | ||
ReduceMax | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
11 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceMean | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32) | ||
ReduceMin | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
11 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceProd | (in data:T, out reduced:T) | 13+ | T = tensor(float), tensor(int32), tensor(int64) |
[11, 12] | T = tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(float), tensor(int32), tensor(int64) | ||
ReduceSum | (in data:T, in axes:tensor(int64), out reduced:T) or (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceSumSquare | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32) | ||
Relu | (in X:T, out Y:T) | 14+ | T = tensor(double), tensor(float) |
13 | T = tensor(double), tensor(float) | ||
[6, 12] | T = tensor(double), tensor(float) | ||
Reshape | (in data:T, in shape:tensor(int64), out reshaped:T) or (in data:T, out reshaped:T) | 14+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
13 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
[5, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
[1, 4] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Resize | (in X:T, in scales:tensor(float), out Y:T) or (in X:T1, in roi:T2, in scales:tensor(float), in sizes:tensor(int64), out Y:T1) | 13+ | T1 = tensor(float), tensor(int32), tensor(uint8) |
[11, 12] | T1 = tensor(float), tensor(int32), tensor(uint8) | ||
10 | T = tensor(float), tensor(int32), tensor(uint8) | ||
ReverseSequence | (in input:T, in sequence_lens:tensor(int64), out Y:T) | 10+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
RoiAlign | (in X:T1, in rois:T1, in batch_indices:T2, out Y:T1) | 10+ | T = tensor(double), tensor(float) T2 = tensor(int64) |
Round | (in X:T, out Y:T) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
SVMClassifier | (in X:T1, out Y:T2, out Z:tensor(float)) | 1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int64), tensor(string) |
SVMRegressor | (in X:T, out Y:tensor(float)) | 1+ | T = tensor(float) |
Scale | (in input:T, out output:T) | 1+ | T = tensor(float) |
ScaledTanh | (in input:T, out output:T) | 1+ | T = tensor(float) |
Scaler | (in X:T, out Y:tensor(float)) | 1+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
Scan | (in initial_state_and_scan_inputs:V, out final_state_and_scan_outputs:V) or (in sequence_lens:I, in initial_state_and_scan_inputs:V, out final_state_and_scan_outputs:V) | 11+ | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[9, 10] | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
8 | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Scatter | (in data:T, in indices:Tind, in updates:T, out output:T) | [9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
ScatterElements | (in data:T, in indices:Tind, in updates:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
ScatterND | (in data:T, in indices:tensor(int64), in updates:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Selu | (in X:T, out Y:T) | 6+ | T = tensor(float) |
SequenceAt | (in input_sequence:S, in position:I, out tensor:T) | 11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceConstruct | (in inputs:T, out output_sequence:S) | 11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceEmpty | (out output:S) | 11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceErase | (in input_sequence:S, in position:I, out output_sequence:S) | 11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceInsert | (in input_sequence:S, in tensor:T, in position:I, out output_sequence:S) | 11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceLength | (in input_sequence:S, out length:I) | 11+ | I = tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
Shape | (in data:T, out shape:T1) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Shrink | (in input:T, out output:T) | 9+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Sigmoid | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
Sign | (in input:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[9, 12] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
SimplifiedLayerNormalization | (in X:T, in scale:T, out Y:T, out inv_std_var:U) | 1+ | T = tensor(double), tensor(float) |
Sin | (in input:T, out output:T) | 7+ | T = tensor(double), tensor(float) |
Sinh | (in input:T, out output:T) | 9+ | T = tensor(float) |
Size | (in data:T, out size:T1) | 13+ | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[1, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Slice | (in data:T, in starts:Tind, in ends:Tind, in axes:Tind, in steps:Tind, out output:T) or (in data:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
10 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[1, 9] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Softmax | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float) |
[11, 12] | T = tensor(double), tensor(float) | ||
[1, 10] | T = tensor(double), tensor(float) | ||
Softplus | (in X:T, out Y:T) | 1+ | T = tensor(float) |
Softsign | (in input:T, out output:T) | 1+ | T = tensor(float) |
SpaceToDepth | (in input:T, out output:T) | 13+ | T = tensor(float) |
[1, 12] | T = tensor(float) | ||
Split | (in input:T, in split:T, out outputs...:T) or (in input:T, in split:tensor(int64), out outputs:T) or (in input:T, out outputs:T) | 13+ | T = tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint8) |
[11, 12] | T = tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint8) | ||
[2, 10] | T = tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint8) | ||
SplitToSequence | (in input:T, in split:I, out output_sequence:S) | 11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string) |
Sqrt | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
Squeeze | (in data:T, in axes:tensor(int64), out squeezed:T) or (in data:T, out squeezed:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
StringNormalizer | (in X:tensor(string), out Y:tensor(string)) | 10+ | T = tensor(string) |
Sub | (in A:T, in B:T, out C:T) | 14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Sum | (in data_0:T, out sum:T) | 13+ | T = tensor(double), tensor(float) |
[8, 12] | T = tensor(double), tensor(float) | ||
[6, 7] | T = tensor(double), tensor(float) | ||
Tan | (in input:T, out output:T) | 7+ | T = tensor(float) |
Tanh | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
TfIdfVectorizer | (in X:T, out Y:T1) | 9+ | T = tensor(int32), tensor(int64), tensor(string) T1 = tensor(float) |
ThresholdedRelu | (in X:T, out Y:T) | 10+ | T = tensor(float) |
[1, 9] | T = tensor(float) | ||
Tile | (in input:T, in repeats:T1, out output:T) or (in input:T, in tiles:T, in axis:T, out output:T) | 13+ | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[6, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
TopK | (in X:T, in K:tensor(int64), out Values:T, out Indices:I) or (in X:T, out Values:T, out Indices:I) | 11+ | I = tensor(int64) T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
10 | I = tensor(int64) T = tensor(double), tensor(float) |
||
[1, 9] | I = tensor(int64) T = tensor(double), tensor(float) |
||
Transpose | (in data:T, out transposed:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
TreeEnsembleClassifier | (in X:T1, out Y:T2, out Z:tensor(float)) | 1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int64), tensor(string) |
TreeEnsembleRegressor | (in X:T, out Y:tensor(float)) | 1+ | T = tensor(double), tensor(float) |
Trilu | (in input:T, in k:tensor(int64), out output:T) | 14+ | T = tensor(double), tensor(float), tensor(int64) |
Unique | (in X:T, out Y:T, out indices:tensor(int64), out inverse_indices:tensor(int64), out counts:tensor(int64)) | 11+ | T = tensor(float), tensor(int64), tensor(int8), tensor(string) |
Unsqueeze | (in data:T, in axes:tensor(int64), out expanded:T) or (in data:T, out expanded:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Upsample | (in X:T, in scales:tensor(float), out Y:T) or (in X:T, out Y:T) | 9 | T = tensor(float), tensor(int32), tensor(uint8) |
[7, 8] | T = tensor(float), tensor(int32), tensor(uint8) | ||
Where | (in condition:B, in X:T, in Y:T, out output:T) | 9+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint8) |
Xor | (in A:T, in B:T, out C:T1) | 7+ | T = tensor(bool) T1 = tensor(bool) |
ZipMap | (in X:tensor(float), out Z:T) | 1+ | T = seq(map(int64,tensor(float))), seq(map(string,tensor(float))) |
Operator Domain: com.microsoft | |||
Attention | (in input:T, in weight:T, in bias:T, in mask_index:M, in past:T, out output:T, out present:T) | 1+ | T = tensor(float) |
AttnLSTM | (in X:T, in W:T, in R:T, in B:T, in sequence_lens:T1, in initial_h:T, in initial_c:T, in P:T, in QW:T, in MW:T, in V:T, in M:T, in memory_seq_lens:T1, in AW:T, out Y:T, out Y_h:T, out Y_c:T) | 1+ | T = tensor(double), tensor(float) T1 = tensor(int32) |
BiasGelu | (in A:T, in B:T, out C:T) | 1+ | T = tensor(float) |
CDist | (in A:T, in B:T, out C:T) | 1+ | T = tensor(double), tensor(float) |
ConvTransposeWithDynamicPads | (in X:T, in W:T, in Pads:tensor(int64), in B:T, out Y:T) | 1+ | T = tensor(float) |
CropAndResize | (in X:T1, in rois:T1, in batch_indices:T2, in crop_size:T2, out Y:T1) | 1+ | T = tensor(float) T2 = tensor(int32) |
DequantizeLinear | (in x:T1, in x_scale:T2, in x_zero_point:T1, out y:T2) | 1+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(float) |
DynamicQuantizeLSTM | (in X:T, in W:T2, in R:T2, in B:T, in sequence_lens:T1, in initial_h:T, in initial_c:T, in P:T, in W_scale:T, in W_zero_point:T2, in R_scale:T, in R_zero_point:T2, out Y:T, out Y_h:T, out Y_c:T) | 1+ | T = tensor(float) T1 = tensor(int32) T2 = tensor(int8), tensor(uint8) |
DynamicQuantizeMatMul | (in A:T1, in B:T2, in b_scale:T1, in b_zero_point:T2, in bias:T1, out Y:T1) | 1+ | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
EmbedLayerNormalization | (in input_ids:T1, in segment_ids:T1, in word_embedding:T, in position_embedding:T, in segment_embedding:T, in gamma:T, in beta:T, in mask:T1, out output:T, out mask_index:T1) | 1+ | T = tensor(float) |
ExpandDims | (in X:T, in axis:tensor(int32), out Y:T) | 1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) axis = tensor(int32) |
FastGelu | (in X:T, in bias:T, out Y:T) | 1+ | T = tensor(float) |
FusedConv | (in X:T, in W:T, in B:T, in Z:T, out Y:T) | 1+ | T = tensor(float) |
FusedGemm | (in A:T, in B:T, in C:T, out Y:T) | 1+ | T = tensor(float) |
FusedMatMul | (in A:T, in B:T, out Y:T) | 1+ | T = tensor(float) |
GatherND | (in data:T, in indices:Tind, out output:T) | 1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
Gelu | (in X:T, out Y:T) | 1+ | T = tensor(float) |
Inverse | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
MatMulInteger16 | (in A:T1, in B:T2, out Y:T3) | 1+ | T1 = tensor(int16) T2 = tensor(int16) T3 = tensor(int32) |
MatMulIntegerToFloat | (in A:T1, in B:T2, in a_scale:T3, in b_scale:T3, in a_zero_point:T1, in b_zero_point:T2, in bias:T3, out Y:T3) | 1+ | T1 = tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(float) |
MaxpoolWithMask | (in X:T, in M:tensor(int32), out Y:T) | 1+ | X = tensor(float) |
MurmurHash3 | (in X:T1, out Y:T2) | 1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint32), tensor(uint64) T2 = tensor(int32), tensor(uint32) |
NhwcMaxPool | (in x:T, out y:T) | 1+ | T = tensor(uint8) |
Pad | (in data:T, in pads:tensor(int64), in value:T, out output:T) | 1+ | T = tensor(float) |
QAttention | (in input:T1, in weight:T2, in bias:T3, in input_scale:T3, in weight_scale:T3, in mask_index:T4, in input_zero_point:T1, in weight_zero_point:T2, in past:T3, out output:T3, out present:T3) | 1+ | T1 = tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(float) T4 = tensor(int32) |
QLinearAdd | (in A:T, in A_scale:tensor(float), in A_zero_point:T, in B:T, in B_scale:tensor(float), in B_zero_point:T, in C_scale:tensor(float), in C_zero_point:T, out C:T) | 1+ | T = tensor(int8), tensor(uint8) |
QLinearConv | (in x:T1, in x_scale:tensor(float), in x_zero_point:T1, in w:T2, in w_scale:tensor(float), in w_zero_point:T2, in y_scale:tensor(float), in y_zero_point:T3, in B:T4, out y:T3) | 1+ | T1 = tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(uint8) T4 = tensor(int32) |
QLinearLeakyRelu | (in X:T, in X_scale:tensor(float), in X_zero_point:T, in Y_scale:tensor(float), in Y_zero_point:T, out Y:T) | 1+ | T = tensor(int8), tensor(uint8) |
QLinearMul | (in A:T, in A_scale:tensor(float), in A_zero_point:T, in B:T, in B_scale:tensor(float), in B_zero_point:T, in C_scale:tensor(float), in C_zero_point:T, out C:T) | 1+ | T = tensor(int8), tensor(uint8) |
QLinearSigmoid | (in X:T, in X_scale:tensor(float), in X_zero_point:T, in Y_scale:tensor(float), in Y_zero_point:T, out Y:T) | 1+ | T = tensor(int8), tensor(uint8) |
QuantizeLinear | (in x:T1, in y_scale:T1, in y_zero_point:T2, out y:T2) | 1+ | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
Range | (in start:T, in limit:T, in delta:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64) |
SampleOp | (in X:T, out Y:T) | 1+ | T = tensor(float) |
SkipLayerNormalization | (in input:T, in skip:T, in gamma:T, in beta:T, in bias:T, out output:T, out mean:U, out inv_std_var:U) | 1+ | T = tensor(double), tensor(float) |
Tokenizer | (in X:T, out Y:T) | 1+ | T = tensor(string) |
TransposeMatMul | (in A:T, in B:T, out Y:T) | 1+ | T = tensor(float) |
Trilu | (in X:T, in k:tensor(int64), out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(int64) |
Unique | (in x:T, out y:T, out idx:tensor(int64), out counts:tensor(int64)) | 1+ | T = tensor(float) |
WordConvEmbedding | (in Sequence:T, in W:T1, in B:T1, in C:T1, out Y:T1) | 1+ | T = tensor(int32) T1 = tensor(float) |
Operator Domain: com.microsoft.nchwc | |||
AveragePool | (in X:T, out Y:T) | 1+ | T = tensor(float) |
Conv | (in X:T, in W:T, in B:T, in Sum:T, out Y:T) | 1+ | T = tensor(float) |
GlobalAveragePool | (in X:T, out Y:T) | 1+ | T = tensor(float) |
GlobalMaxPool | (in X:T, out Y:T) | 1+ | T = tensor(float) |
MaxPool | (in X:T, out Y:T) | 1+ | T = tensor(float) |
ReorderInput | (in X:T, out Y:T) | 1+ | T = tensor(float) |
ReorderOutput | (in X:T, out Y:T) | 1+ | T = tensor(float) |
Upsample | (in X:T, out Y:T) | 1+ | T = tensor(float) |
Op Name | Parameters | OpSet Version | Types Supported |
---|---|---|---|
Operator Domain: ai.onnx.ml | |||
Abs | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Add | (in A:T, in B:T, out C:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Affine | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
And | (in A:T, in B:T, out C:T1) | 7+ | T = tensor(bool) T1 = tensor(bool) |
ArgMax | (in data:T, out reduced:tensor(int64)) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
ArgMin | (in data:T, out reduced:tensor(int64)) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
AveragePool | (in X:T, out Y:T) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
10 | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
||
[7, 9] | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
||
BatchNormalization | (in X:T, in scale:T, in B:T, in input_mean:U, in input_var:U, out Y:T, out running_mean:U, out running_var:U) or (in X:T, in scale:T, in B:T, in mean:T, in var:T, out Y:T, out mean:T, out var:T, out saved_mean:T, out saved_var:T) | 9+ | T = tensor(double), tensor(float), tensor(float16) |
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
Cast | (in input:T1, out output:T2) | 13+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[9, 12] | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[6, 8] | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Ceil | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Clip | (in input:T, in min:T, in max:T, out output:T) or (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8) | ||
11 | T = tensor(float) | ||
[6, 10] | T = tensor(float) | ||
Compress | (in input:T, in condition:T1, out output:T) | 11+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
Concat | (in inputs:T, out concat_result:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[4, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
ConstantOfShape | (in input:T1, out output:T2) | 9+ | T1 = tensor(int64) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Conv | (in X:T, in W:T, in B:T, out Y:T) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
ConvTranspose | (in X:T, in W:T, in B:T, out Y:T) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
Cos | (in input:T, out output:T) | 7+ | T = tensor(double), tensor(float), tensor(float16) |
Crop | (in input:T, out output:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
CumSum | (in x:T, in axis:T2, out y:T) | 14+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T2 = tensor(int32), tensor(int64) |
[11, 13] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T2 = tensor(int32), tensor(int64) |
||
DequantizeLinear | (in x:T, in x_scale:tensor(float), in x_zero_point:T, out y:tensor(float)) | 10+ | T = tensor(int8), tensor(uint8) |
Div | (in A:T, in B:T, out C:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Dropout | (in data:T, in ratio:T1, in training_mode:T2, out output:T, out mask:T2) or (in data:T, out output:T, out mask:T) or (in data:T, out output:T, out mask:T1) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
12 | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
||
[10, 11] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(bool) |
||
[7, 9] | T = tensor(double), tensor(float), tensor(float16) | ||
DynamicSlice | (in data:T, in starts:Tind, in ends:Tind, in axes:Tind, out output:T) | 1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
Einsum | (in Inputs:T, out Output:T) | 12+ | T = tensor(double), tensor(float), tensor(float16) |
Elu | (in X:T, out Y:T) | 6+ | T = tensor(double), tensor(float), tensor(float16) |
Equal | (in A:T, in B:T, out C:T1) | 13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[11, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 10] | T = tensor(bool), tensor(int32), tensor(int64) | ||
Erf | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Exp | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Expand | (in input:T, in shape:tensor(int64), out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[8, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
EyeLike | (in input:T1, out output:T2) | 9+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) T2 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) |
Flatten | (in input:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 8] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Floor | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
GRU | (in X:T, in W:T, in R:T, in B:T, in sequence_lens:T1, in initial_h:T, out Y:T, out Y_h:T) | 7+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
Gather | (in data:T, in indices:Tind, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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GatherElements | (in data:T, in indices:Tind, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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GatherND | (in data:T, in indices:tensor(int64), out output:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int64) Tind = tensor(int64) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int64) Tind = tensor(int64) |
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Gemm | (in A:T, in B:T, in C:T, out Y:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[9, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
GlobalAveragePool | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
GlobalMaxPool | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
Greater | (in A:T, in B:T, out C:T1) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
GreaterOrEqual | (in A:T, in B:T, out C:T1) | 12+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
HardSigmoid | (in X:T, out Y:T) | 6+ | T = tensor(double), tensor(float), tensor(float16) |
Identity | (in input:T, out output:T) or (in input:V, out output:V) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
If | (in cond:B, out outputs:V) | 13+ | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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[1, 10] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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ImageScaler | (in input:T, out output:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
InstanceNormalization | (in input:T, in scale:T, in B:T, out output:T) | 6+ | T = tensor(double), tensor(float), tensor(float16) |
LRN | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
LSTM | (in X:T, in W:T, in R:T, in B:T, in sequence_lens:T1, in initial_h:T, in initial_c:T, in P:T, out Y:T, out Y_h:T, out Y_c:T) | 7+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
LayerNormalization | (in X:T, in Scale:T, in B:T, out Y:T, out Mean:U, out InvStdDev:U) | 1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float) |
LeakyRelu | (in X:T, out Y:T) | 6+ | T = tensor(double), tensor(float), tensor(float16) |
Less | (in A:T, in B:T, out C:T1) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
LessOrEqual | (in A:T, in B:T, out C:T1) | 12+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
Log | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
LogSoftmax | (in input:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
Loop | (in M:I, in cond:B, in v_initial:V, out v_final_and_scan_outputs:V) | 13+ | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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[1, 10] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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MatMul | (in A:T, in B:T, out Y:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
MatMulInteger | (in A:T1, in B:T2, in a_zero_point:T1, in b_zero_point:T2, out Y:T3) | 10+ | T1 = tensor(int8) T2 = tensor(int8) T3 = tensor(int32) |
Max | (in data_0:T, out max:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[6, 11] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
MaxPool | (in X:T, out Y:T) or (in X:T, out Y:T, out Indices:I) | 12+ | T = tensor(double), tensor(float), tensor(float16), tensor(int8), tensor(uint8) |
11 | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
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10 | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
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[8, 9] | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
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[1, 7] | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
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MemcpyFromHost | (in X:T, out Y:T) | 1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
MemcpyToHost | (in X:T, out Y:T) | 1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Min | (in data_0:T, out min:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[6, 11] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
Mul | (in A:T, in B:T, out C:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Neg | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) | ||
NonZero | (in X:T, out Y:tensor(int64)) | 13+ | T = tensor(bool), tensor(float), tensor(int32), tensor(int64), tensor(uint8) |
[9, 12] | T = tensor(bool), tensor(float), tensor(int32), tensor(int64), tensor(uint8) | ||
Not | (in X:T, out Y:T) | 1+ | T = tensor(bool) T1 = tensor(bool) |
OneHot | (in indices:T1, in depth:T2, in values:T3, out output:T3) | 11+ | T1 = tensor(int32), tensor(int64) T2 = tensor(int32), tensor(int64) T3 = tensor(float), tensor(float16), tensor(int64) |
Or | (in A:T, in B:T, out C:T1) | 7+ | T = tensor(bool) T1 = tensor(bool) |
PRelu | (in X:T, in slope:T, out Y:T) | 9+ | T = tensor(double), tensor(float), tensor(float16) |
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
Pad | (in data:T, in pads:tensor(int64), in constant_value:T, out output:T) or (in data:T, out output:T) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
[2, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
ParametricSoftplus | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
Pow | (in X:T, in Y:T, out Z:T) or (in X:T, in Y:T1, out Z:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
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[7, 11] | T = tensor(double), tensor(float), tensor(float16) | ||
QuantizeLinear | (in x:T1, in y_scale:tensor(float), in y_zero_point:T2, out y:T2) | 10+ | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
RNN | (in X:T, in W:T, in R:T, in B:T, in sequence_lens:T1, in initial_h:T, out Y:T, out Y_h:T) | 7+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
Range | (in start:T, in limit:T, in delta:T, out output:T) | 11+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64) |
Reciprocal | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
ReduceL1 | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceL2 | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceLogSum | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
ReduceLogSumExp | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
ReduceMax | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
11 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) | ||
ReduceMean | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceMin | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int8), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int8), tensor(uint8) | ||
11 | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceProd | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceSum | (in data:T, in axes:tensor(int64), out reduced:T) or (in data:T, out reduced:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) | ||
ReduceSumSquare | (in data:T, out reduced:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
Relu | (in X:T, out Y:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Reshape | (in data:T, in shape:tensor(int64), out reshaped:T) or (in data:T, out reshaped:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
[5, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
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[1, 4] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Resize | (in X:T, in scales:tensor(float), out Y:T) or (in X:T1, in roi:T2, in scales:tensor(float), in sizes:tensor(int64), out Y:T1) | 13+ | T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) |
[11, 12] | T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) | ||
10 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) | ||
ReverseSequence | (in input:T, in sequence_lens:tensor(int64), out Y:T) | 10+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
RoiAlign | (in X:T1, in rois:T1, in batch_indices:T2, out Y:T1) | 10+ | T = tensor(double), tensor(float) T2 = tensor(int64) |
Round | (in X:T, out Y:T) | 11+ | T = tensor(double), tensor(float), tensor(float16) |
ScaledTanh | (in input:T, out output:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
Scan | (in initial_state_and_scan_inputs:V, out final_state_and_scan_outputs:V) or (in sequence_lens:I, in initial_state_and_scan_inputs:V, out final_state_and_scan_outputs:V) | 11+ | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[9, 10] | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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8 | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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Scatter | (in data:T, in indices:Tind, in updates:T, out output:T) | [9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
ScatterElements | (in data:T, in indices:Tind, in updates:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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ScatterND | (in data:T, in indices:tensor(int64), in updates:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Selu | (in X:T, out Y:T) | 6+ | T = tensor(double), tensor(float), tensor(float16) |
Shape | (in data:T, out shape:T1) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
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Shrink | (in input:T, out output:T) | 9+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Sigmoid | (in X:T, out Y:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
SimplifiedLayerNormalization | (in X:T, in scale:T, out Y:T, out inv_std_var:U) | 1+ | T = tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float) |
Sin | (in input:T, out output:T) | 7+ | T = tensor(double), tensor(float), tensor(float16) |
Size | (in data:T, out size:T1) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
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Slice | (in data:T, in starts:Tind, in ends:Tind, in axes:Tind, in steps:Tind, out output:T) or (in data:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(float), tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(float), tensor(int32), tensor(int64) |
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10 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(float), tensor(int32), tensor(int64) |
||
[1, 9] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(float), tensor(int32), tensor(int64) |
||
Softmax | (in input:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
Softplus | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
Softsign | (in input:T, out output:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
Split | (in input:T, in split:T, out outputs...:T) or (in input:T, in split:tensor(int64), out outputs:T) or (in input:T, out outputs:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[2, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Sqrt | (in X:T, out Y:T) | 13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Squeeze | (in data:T, in axes:tensor(int64), out squeezed:T) or (in data:T, out squeezed:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Sub | (in A:T, in B:T, out C:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Sum | (in data_0:T, out sum:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[8, 12] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
[6, 7] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
Tanh | (in input:T, out output:T) | 13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
ThresholdedRelu | (in X:T, out Y:T) | 10+ | T = tensor(double), tensor(float), tensor(float16) |
1+ | T = tensor(double), tensor(float), tensor(float16) | ||
Tile | (in input:T, in repeats:T1, out output:T) or (in input:T, in tiles:T, in axis:T, out output:T) | 13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(int64) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(int64) |
||
TopK | (in X:T, in K:tensor(int64), out Values:T, out Indices:I) or (in X:T, out Values:T, out Indices:I) | 11+ | I = tensor(int64) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
10 | I = tensor(int64) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[1, 9] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Transpose | (in data:T, out transposed:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Unsqueeze | (in data:T, in axes:tensor(int64), out expanded:T) or (in data:T, out expanded:T) | 13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Upsample | (in X:T, in scales:tensor(float), out Y:T) or (in X:T, out Y:T) | 9 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) |
[7, 8] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) | ||
Where | (in condition:B, in X:T, in Y:T, out output:T) | 9+ | B = tensor(bool) T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8) |
Xor | (in A:T, in B:T, out C:T1) | 7+ | T = tensor(bool) T1 = tensor(bool) |
Operator Domain: com.microsoft | |||
Attention | (in input:T, in weight:T, in bias:T, in mask_index:M, in past:T, out output:T, out present:T) | 1+ | T = tensor(float), tensor(float16) |
BiasDropout | (in data:T, in bias:T, in residual:T, in ratio:T1, in training_mode:T2, out output:T, out mask:T2) | 1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
BiasGelu | (in A:T, in B:T, out C:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
BiasSoftmax | (in data:T, in bias:T, out output:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
ComplexMul | (in A:T, in B:T, out C:T) | 1+ | T = tensor(float), tensor(float16) |
ComplexMulConj | (in A:T, in B:T, out C:T) | 1+ | T = tensor(float), tensor(float16) |
ConvTransposeWithDynamicPads | (in X:T, in W:T, in Pads:tensor(int64), in B:T, out Y:T) | 1+ | T = tensor(float) |
DequantizeLinear | (in x:T1, in x_scale:T2, in x_zero_point:T1, out y:T2) | 1+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(float16) |
EmbedLayerNormalization | (in input_ids:T1, in segment_ids:T1, in word_embedding:T, in position_embedding:T, in segment_embedding:T, in gamma:T, in beta:T, in mask:T1, out output:T, out mask_index:T1) | 1+ | T = tensor(float), tensor(float16) |
FastGelu | (in X:T, in bias:T, out Y:T) | 1+ | T = tensor(bfloat16), tensor(float), tensor(float16) |
FusedConv | (in X:T, in W:T, in B:T, in Z:T, out Y:T) | 1+ | T = tensor(float) |
FusedMatMul | (in A:T, in B:T, out Y:T) | 1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
Gelu | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
Inverse | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
Irfft | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
LongformerAttention | (in input:T, in weight:T, in bias:T, in mask:T, in global_weight:T, in global_bias:T, in global:G, out output:T) | 1+ | T = tensor(float), tensor(float16) |
QAttention | (in input:T1, in weight:T2, in bias:T3, in input_scale:T3, in weight_scale:T3, in mask_index:T4, in input_zero_point:T1, in weight_zero_point:T2, in past:T3, out output:T3, out present:T3) | 1+ | T1 = tensor(int8) T2 = tensor(int8) T3 = tensor(float), tensor(float16) T4 = tensor(int32) |
QuantizeLinear | (in x:T1, in y_scale:T1, in y_zero_point:T2, out y:T2) | 1+ | T1 = tensor(float16) T2 = tensor(int8), tensor(uint8) |
Rfft | (in X:T, out Y:T) | 1+ | T = tensor(double), tensor(float), tensor(float16) |
SkipLayerNormalization | (in input:T, in skip:T, in gamma:T, in beta:T, in bias:T, out output:T, out mean:U, out inv_std_var:U) | 1+ | T = tensor(float), tensor(float16) |
TransposeMatMul | (in A:T, in B:T, out Y:T) | 1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
Op Name | Parameters | OpSet Version | Types Supported |
---|---|---|---|
Operator Domain: ai.onnx.ml | |||
Gemm | (in A:T, in B:T, in C:T, out Y:T) | 7+ | T = tensor(float) |