DaCeML
latest
User Guide
Installation
ONNX
PyTorch Integration
Automatic Differentiation
Development
Examples
Module Documentation
daceml.autodiff
daceml.onnx
daceml.pytorch
DaCeML
»
Index
Edit on GitHub
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Y
|
Z
_
__call__() (ONNXModel method)
A
activation_alpha (ONNXGRU attribute)
(ONNXLSTM attribute)
(ONNXRNN attribute)
activation_beta (ONNXGRU attribute)
(ONNXLSTM attribute)
(ONNXRNN attribute)
activations (ONNXGRU attribute)
(ONNXLSTM attribute)
(ONNXRNN attribute)
add_backward_pass() (in module daceml.autodiff)
aggregate_function (ONNXTreeEnsembleRegressor attribute)
alpha (ONNXAdam attribute)
(ONNXCelu attribute)
(ONNXElu attribute)
(ONNXGemm attribute)
(ONNXHardSigmoid attribute)
(ONNXLeakyRelu attribute)
(ONNXLRN attribute)
(ONNXMomentum attribute)
(ONNXSelu attribute)
(ONNXThresholdedRelu attribute)
append_post_autodiff_hook() (DaceModule method)
append_post_compile_hook() (DaceModule method)
append_post_onnx_hook() (DaceModule method)
attribute_type (ONNXAttribute attribute)
attributes (ONNXSchema attribute)
auto_pad (ONNXAveragePool attribute)
(ONNXConv attribute)
(ONNXConvInteger attribute)
(ONNXConvTranspose attribute)
(ONNXLpPool attribute)
(ONNXMaxPool attribute)
(ONNXQLinearConv attribute)
axes (ONNXMeanVarianceNormalization attribute)
(ONNXReduceL1 attribute)
(ONNXReduceL2 attribute)
(ONNXReduceLogSum attribute)
(ONNXReduceLogSumExp attribute)
(ONNXReduceMax attribute)
(ONNXReduceMean attribute)
(ONNXReduceMin attribute)
(ONNXReduceProd attribute)
(ONNXReduceSum attribute)
(ONNXReduceSumSquare attribute)
(ONNXSqueeze attribute)
(ONNXUnsqueeze attribute)
axis (ONNXArgMax attribute)
(ONNXArgMin attribute)
(ONNXCompress attribute)
(ONNXConcat attribute)
(ONNXFlatten attribute)
(ONNXGather attribute)
(ONNXGatherElements attribute)
(ONNXHardmax attribute)
(ONNXLogSoftmax attribute)
(ONNXLpNormalization attribute)
(ONNXOneHot attribute)
(ONNXScatter attribute)
(ONNXScatterElements attribute)
(ONNXSoftmax attribute)
(ONNXSplit attribute)
(ONNXTopK attribute)
(ONNXUnique attribute)
B
backward() (BackwardImplementation static method)
backward_can_be_applied() (BackwardImplementation static method)
backward_generator (BackwardContext attribute)
backward_implementation (ONNXOp attribute)
backward_sdfg (BackwardContext attribute)
backward_state (BackwardContext attribute)
BackwardContext (class in daceml.autodiff)
BackwardImplementation (class in daceml.autodiff)
BackwardResult (class in daceml.autodiff)
base_values (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
batch_axis (ONNXReverseSequence attribute)
batch_dims (ONNXGatherND attribute)
beta (ONNXAdam attribute)
(ONNXGemm attribute)
(ONNXHardSigmoid attribute)
(ONNXLRN attribute)
(ONNXMomentum attribute)
bias (ONNXLRN attribute)
(ONNXShrink attribute)
blocksize (ONNXDepthToSpace attribute)
(ONNXSpaceToDepth attribute)
C
cats_int64s (ONNXCategoryMapper attribute)
(ONNXOneHotEncoder attribute)
cats_strings (ONNXCategoryMapper attribute)
(ONNXOneHotEncoder attribute)
ceil_mode (ONNXAveragePool attribute)
(ONNXMaxPool attribute)
center_point_box (ONNXNonMaxSuppression attribute)
class_ids (ONNXTreeEnsembleClassifier attribute)
class_nodeids (ONNXTreeEnsembleClassifier attribute)
class_treeids (ONNXTreeEnsembleClassifier attribute)
class_weights (ONNXTreeEnsembleClassifier attribute)
classlabels_int64s (ONNXTreeEnsembleClassifier attribute)
classlabels_ints (ONNXLinearClassifier attribute)
(ONNXSVMClassifier attribute)
classlabels_strings (ONNXLinearClassifier attribute)
(ONNXSVMClassifier attribute)
(ONNXTreeEnsembleClassifier attribute)
clip (ONNXGRU attribute)
(ONNXLSTM attribute)
(ONNXRNN attribute)
coefficients (ONNXLinearClassifier attribute)
(ONNXLinearRegressor attribute)
(ONNXSVMClassifier attribute)
(ONNXSVMRegressor attribute)
compile_and_init() (ONNXModel method)
coordinate_transformation_mode (ONNXResize attribute)
count_include_pad (ONNXAveragePool attribute)
cubic_coeff_a (ONNXResize attribute)
D
dace_module() (in module daceml.pytorch)
daceml.onnx
module
daceml.onnx.environments.onnxruntime
module
daceml.onnx.nodes.onnx_op
module
daceml.onnx.op_implementations.img_op_implementations
module
daceml.onnx.op_implementations.pure_implementations
module
daceml.pytorch
module
DaceModule (class in daceml.pytorch)
decay_factor (ONNXAdagrad attribute)
default_float (ONNXLabelEncoder attribute)
default_int64 (ONNXCategoryMapper attribute)
(ONNXLabelEncoder attribute)
default_string (ONNXCategoryMapper attribute)
(ONNXLabelEncoder attribute)
default_value (ONNXAttribute attribute)
description (ONNXAttribute attribute)
(ONNXParameter attribute)
detect_negative (ONNXIsInf attribute)
detect_positive (ONNXIsInf attribute)
dilations (ONNXConv attribute)
(ONNXConvInteger attribute)
(ONNXConvTranspose attribute)
(ONNXMaxPool attribute)
(ONNXQLinearConv attribute)
direction (ONNXBitShift attribute)
(ONNXGRU attribute)
(ONNXLSTM attribute)
(ONNXRNN attribute)
doc (ONNXSchema attribute)
domain (ONNXSchema attribute)
dtype (ONNXEyeLike attribute)
(ONNXMultinomial attribute)
(ONNXRandomNormal attribute)
(ONNXRandomNormalLike attribute)
(ONNXRandomUniform attribute)
(ONNXRandomUniformLike attribute)
E
epsilon (ONNXAdagrad attribute)
(ONNXAdam attribute)
(ONNXBatchNormalization attribute)
(ONNXInstanceNormalization attribute)
equation (ONNXEinsum attribute)
exclude_outside (ONNXResize attribute)
exclusive (ONNXCumSum attribute)
extrapolation_value (ONNXResize attribute)
F
Float (ONNXAttributeType attribute)
Floats (ONNXAttributeType attribute)
fmod (ONNXMod attribute)
forward() (DaceModule method)
(ONNXForward static method)
forward_can_be_applied() (ONNXForward static method)
forward_sdfg (BackwardContext attribute)
forward_state (BackwardContext attribute)
from_json() (ONNXAttribute class method)
(ONNXParameter class method)
(ONNXSchema class method)
(ONNXTypeConstraint class method)
from_onnx_proto() (ONNXAttribute class method)
(ONNXParameter class method)
(ONNXSchema class method)
(ONNXTypeConstraint class method)
G
gamma (ONNXSelu attribute)
get_onnx_node() (in module daceml.onnx)
given_grad_names (BackwardResult attribute)
graph_name (ONNXGraphCall attribute)
group (ONNXConv attribute)
(ONNXConvInteger attribute)
(ONNXConvTranspose attribute)
(ONNXQLinearConv attribute)
H
has_onnx_node() (in module daceml.onnx)
hidden_size (ONNXGRU attribute)
(ONNXLSTM attribute)
(ONNXRNN attribute)
high (ONNXRandomUniform attribute)
(ONNXRandomUniformLike attribute)
homogeneous (ONNXParameter attribute)
I
ignore_index (ONNXNegativeLogLikelihoodLoss attribute)
(ONNXSoftmaxCrossEntropyLoss attribute)
imputed_value_floats (ONNXImputer attribute)
imputed_value_int64s (ONNXImputer attribute)
input_forget (ONNXLSTM attribute)
inputdimensions (ONNXFeatureVectorizer attribute)
inputs (ONNXModel attribute)
(ONNXSchema attribute)
Int (ONNXAttributeType attribute)
intercepts (ONNXLinearClassifier attribute)
(ONNXLinearRegressor attribute)
Ints (ONNXAttributeType attribute)
iter_edges() (ONNXOp method)
iter_inputs_in_onnx_order() (ONNXOp method)
iter_outputs_in_onnx_order() (ONNXOp method)
K
k (ONNXEyeLike attribute)
keepdims (ONNXArgMax attribute)
(ONNXArgMin attribute)
(ONNXReduceL1 attribute)
(ONNXReduceL2 attribute)
(ONNXReduceLogSum attribute)
(ONNXReduceLogSumExp attribute)
(ONNXReduceMax attribute)
(ONNXReduceMean attribute)
(ONNXReduceMin attribute)
(ONNXReduceProd attribute)
(ONNXReduceSum attribute)
(ONNXReduceSumSquare attribute)
kernel_params (ONNXSVMClassifier attribute)
(ONNXSVMRegressor attribute)
kernel_shape (ONNXAveragePool attribute)
(ONNXConv attribute)
(ONNXConvInteger attribute)
(ONNXConvTranspose attribute)
(ONNXLpPool attribute)
(ONNXMaxPool attribute)
(ONNXMaxUnpool attribute)
(ONNXQLinearConv attribute)
kernel_type (ONNXSVMClassifier attribute)
(ONNXSVMRegressor attribute)
keys_floats (ONNXLabelEncoder attribute)
keys_int64s (ONNXLabelEncoder attribute)
keys_strings (ONNXLabelEncoder attribute)
L
lambd (ONNXShrink attribute)
largest (ONNXTopK attribute)
linear_before_reset (ONNXGRU attribute)
low (ONNXRandomUniform attribute)
(ONNXRandomUniformLike attribute)
M
make_backward_function() (in module daceml.autodiff)
max_gram_length (ONNXTfIdfVectorizer attribute)
max_skip_count (ONNXTfIdfVectorizer attribute)
mean (ONNXRandomNormal attribute)
(ONNXRandomNormalLike attribute)
min_gram_length (ONNXTfIdfVectorizer attribute)
mode (ONNXDepthToSpace attribute)
(ONNXMomentum attribute)
(ONNXPad attribute)
(ONNXResize attribute)
(ONNXRoiAlign attribute)
(ONNXTfIdfVectorizer attribute)
(ONNXUpsample attribute)
module
daceml.onnx
daceml.onnx.environments.onnxruntime
daceml.onnx.nodes.onnx_op
daceml.onnx.op_implementations.img_op_implementations
daceml.onnx.op_implementations.pure_implementations
daceml.pytorch
momentum (ONNXBatchNormalization attribute)
multi_class (ONNXLinearClassifier attribute)
N
n_supports (ONNXSVMRegressor attribute)
n_targets (ONNXTreeEnsembleRegressor attribute)
name (ONNXAttribute attribute)
(ONNXParameter attribute)
(ONNXSchema attribute)
nearest_mode (ONNXResize attribute)
ngram_counts (ONNXTfIdfVectorizer attribute)
ngram_indexes (ONNXTfIdfVectorizer attribute)
nodes_falsenodeids (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_featureids (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_hitrates (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_missing_value_tracks_true (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_modes (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_nodeids (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_treeids (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_truenodeids (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
nodes_values (ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
norm (ONNXNormalizer attribute)
norm_coefficient (ONNXAdagrad attribute)
(ONNXAdam attribute)
(ONNXMomentum attribute)
norm_coefficient_post (ONNXAdam attribute)
O
offset (ONNXScaler attribute)
one_class (ONNXSVMRegressor attribute)
onnx_representation() (in module daceml.onnx)
ONNXAbs (class in daceml.onnx.nodes.onnx_op)
ONNXAcos (class in daceml.onnx.nodes.onnx_op)
ONNXAcosh (class in daceml.onnx.nodes.onnx_op)
ONNXAdagrad (class in daceml.onnx.nodes.onnx_op)
ONNXAdam (class in daceml.onnx.nodes.onnx_op)
ONNXAdd (class in daceml.onnx.nodes.onnx_op)
ONNXAnd (class in daceml.onnx.nodes.onnx_op)
ONNXArgMax (class in daceml.onnx.nodes.onnx_op)
ONNXArgMin (class in daceml.onnx.nodes.onnx_op)
ONNXArrayFeatureExtractor (class in daceml.onnx.nodes.onnx_op)
ONNXAsin (class in daceml.onnx.nodes.onnx_op)
ONNXAsinh (class in daceml.onnx.nodes.onnx_op)
ONNXAtan (class in daceml.onnx.nodes.onnx_op)
ONNXAtanh (class in daceml.onnx.nodes.onnx_op)
ONNXAttribute (class in daceml.onnx)
ONNXAttributeType (class in daceml.onnx)
ONNXAveragePool (class in daceml.onnx.nodes.onnx_op)
ONNXBatchNormalization (class in daceml.onnx.nodes.onnx_op)
ONNXBinarizer (class in daceml.onnx.nodes.onnx_op)
ONNXBitShift (class in daceml.onnx.nodes.onnx_op)
ONNXCast (class in daceml.onnx.nodes.onnx_op)
ONNXCategoryMapper (class in daceml.onnx.nodes.onnx_op)
ONNXCeil (class in daceml.onnx.nodes.onnx_op)
ONNXCelu (class in daceml.onnx.nodes.onnx_op)
ONNXClip (class in daceml.onnx.nodes.onnx_op)
ONNXCompress (class in daceml.onnx.nodes.onnx_op)
ONNXConcat (class in daceml.onnx.nodes.onnx_op)
ONNXConstant (class in daceml.onnx.nodes.onnx_op)
ONNXConstantOfShape (class in daceml.onnx.nodes.onnx_op)
ONNXConv (class in daceml.onnx.nodes.onnx_op)
ONNXConvInteger (class in daceml.onnx.nodes.onnx_op)
ONNXConvTranspose (class in daceml.onnx.nodes.onnx_op)
ONNXCos (class in daceml.onnx.nodes.onnx_op)
ONNXCosh (class in daceml.onnx.nodes.onnx_op)
ONNXCumSum (class in daceml.onnx.nodes.onnx_op)
ONNXDepthToSpace (class in daceml.onnx.nodes.onnx_op)
ONNXDequantizeLinear (class in daceml.onnx.nodes.onnx_op)
ONNXDet (class in daceml.onnx.nodes.onnx_op)
ONNXDiv (class in daceml.onnx.nodes.onnx_op)
ONNXDropout (class in daceml.onnx.nodes.onnx_op)
ONNXDynamicQuantizeLinear (class in daceml.onnx.nodes.onnx_op)
ONNXEinsum (class in daceml.onnx.nodes.onnx_op)
ONNXElu (class in daceml.onnx.nodes.onnx_op)
ONNXEqual (class in daceml.onnx.nodes.onnx_op)
ONNXErf (class in daceml.onnx.nodes.onnx_op)
ONNXExp (class in daceml.onnx.nodes.onnx_op)
ONNXExpand (class in daceml.onnx.nodes.onnx_op)
ONNXEyeLike (class in daceml.onnx.nodes.onnx_op)
ONNXFeatureVectorizer (class in daceml.onnx.nodes.onnx_op)
ONNXFlatten (class in daceml.onnx.nodes.onnx_op)
ONNXFloor (class in daceml.onnx.nodes.onnx_op)
ONNXForward (class in daceml.onnx.forward_implementation_abc)
ONNXGather (class in daceml.onnx.nodes.onnx_op)
ONNXGatherElements (class in daceml.onnx.nodes.onnx_op)
ONNXGatherND (class in daceml.onnx.nodes.onnx_op)
ONNXGemm (class in daceml.onnx.nodes.onnx_op)
ONNXGlobalAveragePool (class in daceml.onnx.nodes.onnx_op)
ONNXGlobalLpPool (class in daceml.onnx.nodes.onnx_op)
ONNXGlobalMaxPool (class in daceml.onnx.nodes.onnx_op)
ONNXGradient (class in daceml.onnx.nodes.onnx_op)
ONNXGraphCall (class in daceml.onnx.nodes.onnx_op)
ONNXGreater (class in daceml.onnx.nodes.onnx_op)
ONNXGreaterOrEqual (class in daceml.onnx.nodes.onnx_op)
ONNXGRU (class in daceml.onnx.nodes.onnx_op)
ONNXHardmax (class in daceml.onnx.nodes.onnx_op)
ONNXHardSigmoid (class in daceml.onnx.nodes.onnx_op)
ONNXIdentity (class in daceml.onnx.nodes.onnx_op)
ONNXImputer (class in daceml.onnx.nodes.onnx_op)
ONNXInstanceNormalization (class in daceml.onnx.nodes.onnx_op)
ONNXIsInf (class in daceml.onnx.nodes.onnx_op)
ONNXIsNaN (class in daceml.onnx.nodes.onnx_op)
ONNXLabelEncoder (class in daceml.onnx.nodes.onnx_op)
ONNXLeakyRelu (class in daceml.onnx.nodes.onnx_op)
ONNXLess (class in daceml.onnx.nodes.onnx_op)
ONNXLessOrEqual (class in daceml.onnx.nodes.onnx_op)
ONNXLinearClassifier (class in daceml.onnx.nodes.onnx_op)
ONNXLinearRegressor (class in daceml.onnx.nodes.onnx_op)
ONNXLog (class in daceml.onnx.nodes.onnx_op)
ONNXLogSoftmax (class in daceml.onnx.nodes.onnx_op)
ONNXLpNormalization (class in daceml.onnx.nodes.onnx_op)
ONNXLpPool (class in daceml.onnx.nodes.onnx_op)
ONNXLRN (class in daceml.onnx.nodes.onnx_op)
ONNXLSTM (class in daceml.onnx.nodes.onnx_op)
ONNXMatMul (class in daceml.onnx.nodes.onnx_op)
ONNXMatMulInteger (class in daceml.onnx.nodes.onnx_op)
ONNXMax (class in daceml.onnx.nodes.onnx_op)
ONNXMaxPool (class in daceml.onnx.nodes.onnx_op)
ONNXMaxRoiPool (class in daceml.onnx.nodes.onnx_op)
ONNXMaxUnpool (class in daceml.onnx.nodes.onnx_op)
ONNXMean (class in daceml.onnx.nodes.onnx_op)
ONNXMeanVarianceNormalization (class in daceml.onnx.nodes.onnx_op)
ONNXMin (class in daceml.onnx.nodes.onnx_op)
ONNXMod (class in daceml.onnx.nodes.onnx_op)
ONNXModel (class in daceml.onnx)
ONNXMomentum (class in daceml.onnx.nodes.onnx_op)
ONNXMul (class in daceml.onnx.nodes.onnx_op)
ONNXMultinomial (class in daceml.onnx.nodes.onnx_op)
ONNXNeg (class in daceml.onnx.nodes.onnx_op)
ONNXNegativeLogLikelihoodLoss (class in daceml.onnx.nodes.onnx_op)
ONNXNonMaxSuppression (class in daceml.onnx.nodes.onnx_op)
ONNXNonZero (class in daceml.onnx.nodes.onnx_op)
ONNXNormalizer (class in daceml.onnx.nodes.onnx_op)
ONNXNot (class in daceml.onnx.nodes.onnx_op)
ONNXOneHot (class in daceml.onnx.nodes.onnx_op)
ONNXOneHotEncoder (class in daceml.onnx.nodes.onnx_op)
ONNXOp (class in daceml.onnx.nodes.onnx_op)
ONNXOr (class in daceml.onnx.nodes.onnx_op)
ONNXPad (class in daceml.onnx.nodes.onnx_op)
ONNXParameter (class in daceml.onnx)
ONNXParameterType (class in daceml.onnx)
ONNXPow (class in daceml.onnx.nodes.onnx_op)
ONNXPRelu (class in daceml.onnx.nodes.onnx_op)
ONNXQLinearConv (class in daceml.onnx.nodes.onnx_op)
ONNXQLinearMatMul (class in daceml.onnx.nodes.onnx_op)
ONNXQuantizeLinear (class in daceml.onnx.nodes.onnx_op)
ONNXRandomNormal (class in daceml.onnx.nodes.onnx_op)
ONNXRandomNormalLike (class in daceml.onnx.nodes.onnx_op)
ONNXRandomUniform (class in daceml.onnx.nodes.onnx_op)
ONNXRandomUniformLike (class in daceml.onnx.nodes.onnx_op)
ONNXRange (class in daceml.onnx.nodes.onnx_op)
ONNXReciprocal (class in daceml.onnx.nodes.onnx_op)
ONNXReduceL1 (class in daceml.onnx.nodes.onnx_op)
ONNXReduceL2 (class in daceml.onnx.nodes.onnx_op)
ONNXReduceLogSum (class in daceml.onnx.nodes.onnx_op)
ONNXReduceLogSumExp (class in daceml.onnx.nodes.onnx_op)
ONNXReduceMax (class in daceml.onnx.nodes.onnx_op)
ONNXReduceMean (class in daceml.onnx.nodes.onnx_op)
ONNXReduceMin (class in daceml.onnx.nodes.onnx_op)
ONNXReduceProd (class in daceml.onnx.nodes.onnx_op)
ONNXReduceSum (class in daceml.onnx.nodes.onnx_op)
ONNXReduceSumSquare (class in daceml.onnx.nodes.onnx_op)
ONNXRelu (class in daceml.onnx.nodes.onnx_op)
ONNXReshape (class in daceml.onnx.nodes.onnx_op)
ONNXResize (class in daceml.onnx.nodes.onnx_op)
ONNXReverseSequence (class in daceml.onnx.nodes.onnx_op)
ONNXRNN (class in daceml.onnx.nodes.onnx_op)
ONNXRoiAlign (class in daceml.onnx.nodes.onnx_op)
ONNXRound (class in daceml.onnx.nodes.onnx_op)
ONNXRuntime (class in daceml.onnx.environments.onnxruntime)
ONNXRuntimeCUDA (class in daceml.onnx.environments.onnxruntime)
ONNXScaler (class in daceml.onnx.nodes.onnx_op)
ONNXScatter (class in daceml.onnx.nodes.onnx_op)
ONNXScatterElements (class in daceml.onnx.nodes.onnx_op)
ONNXScatterND (class in daceml.onnx.nodes.onnx_op)
ONNXSchema (class in daceml.onnx)
ONNXSelu (class in daceml.onnx.nodes.onnx_op)
ONNXShape (class in daceml.onnx.nodes.onnx_op)
ONNXShrink (class in daceml.onnx.nodes.onnx_op)
ONNXSigmoid (class in daceml.onnx.nodes.onnx_op)
ONNXSign (class in daceml.onnx.nodes.onnx_op)
ONNXSin (class in daceml.onnx.nodes.onnx_op)
ONNXSinh (class in daceml.onnx.nodes.onnx_op)
ONNXSize (class in daceml.onnx.nodes.onnx_op)
ONNXSlice (class in daceml.onnx.nodes.onnx_op)
ONNXSoftmax (class in daceml.onnx.nodes.onnx_op)
ONNXSoftmaxCrossEntropyLoss (class in daceml.onnx.nodes.onnx_op)
ONNXSoftplus (class in daceml.onnx.nodes.onnx_op)
ONNXSoftsign (class in daceml.onnx.nodes.onnx_op)
ONNXSpaceToDepth (class in daceml.onnx.nodes.onnx_op)
ONNXSplit (class in daceml.onnx.nodes.onnx_op)
ONNXSqrt (class in daceml.onnx.nodes.onnx_op)
ONNXSqueeze (class in daceml.onnx.nodes.onnx_op)
ONNXSub (class in daceml.onnx.nodes.onnx_op)
ONNXSum (class in daceml.onnx.nodes.onnx_op)
ONNXSVMClassifier (class in daceml.onnx.nodes.onnx_op)
ONNXSVMRegressor (class in daceml.onnx.nodes.onnx_op)
ONNXTan (class in daceml.onnx.nodes.onnx_op)
ONNXTanh (class in daceml.onnx.nodes.onnx_op)
ONNXTfIdfVectorizer (class in daceml.onnx.nodes.onnx_op)
ONNXThresholdedRelu (class in daceml.onnx.nodes.onnx_op)
ONNXTile (class in daceml.onnx.nodes.onnx_op)
ONNXTopK (class in daceml.onnx.nodes.onnx_op)
ONNXTranspose (class in daceml.onnx.nodes.onnx_op)
ONNXTreeEnsembleClassifier (class in daceml.onnx.nodes.onnx_op)
ONNXTreeEnsembleRegressor (class in daceml.onnx.nodes.onnx_op)
ONNXTypeConstraint (class in daceml.onnx)
ONNXUnique (class in daceml.onnx.nodes.onnx_op)
ONNXUnsqueeze (class in daceml.onnx.nodes.onnx_op)
ONNXUpsample (class in daceml.onnx.nodes.onnx_op)
ONNXWhere (class in daceml.onnx.nodes.onnx_op)
ONNXXor (class in daceml.onnx.nodes.onnx_op)
op_implementation() (in module daceml.onnx.op_implementations.utils)
Optional (ONNXParameterType attribute)
output_height (ONNXRoiAlign attribute)
output_padding (ONNXConvTranspose attribute)
output_shape (ONNXConvTranspose attribute)
output_width (ONNXRoiAlign attribute)
outputs (ONNXModel attribute)
(ONNXSchema attribute)
P
p (ONNXGlobalLpPool attribute)
(ONNXLpNormalization attribute)
(ONNXLpPool attribute)
pads (ONNXAveragePool attribute)
(ONNXConv attribute)
(ONNXConvInteger attribute)
(ONNXConvTranspose attribute)
(ONNXLpPool attribute)
(ONNXMaxPool attribute)
(ONNXMaxUnpool attribute)
(ONNXQLinearConv attribute)
param_type (ONNXParameter attribute)
perm (ONNXTranspose attribute)
pool_int64s (ONNXTfIdfVectorizer attribute)
pool_strings (ONNXTfIdfVectorizer attribute)
pooled_shape (ONNXMaxRoiPool attribute)
post_autodiff_hooks (DaceModule attribute)
post_compile_hooks (DaceModule attribute)
post_onnx_hooks (DaceModule attribute)
post_transform (ONNXLinearClassifier attribute)
(ONNXLinearRegressor attribute)
(ONNXSVMClassifier attribute)
(ONNXSVMRegressor attribute)
(ONNXTreeEnsembleClassifier attribute)
(ONNXTreeEnsembleRegressor attribute)
prepend_post_autodiff_hook() (DaceModule method)
prepend_post_compile_hook() (DaceModule method)
prepend_post_onnx_hook() (DaceModule method)
prob_a (ONNXSVMClassifier attribute)
prob_b (ONNXSVMClassifier attribute)
PureBatchNormalization (class in daceml.onnx.op_implementations.img_op_implementations)
PureCast (class in daceml.onnx.op_implementations.pure_implementations)
PureConv2D (class in daceml.onnx.op_implementations.img_op_implementations)
PureEinsum (class in daceml.onnx.op_implementations.pure_implementations)
PureErf (class in daceml.onnx.op_implementations.pure_implementations)
PureFlatten (class in daceml.onnx.op_implementations.pure_implementations)
PureGemm (class in daceml.onnx.op_implementations.pure_implementations)
PureLog (class in daceml.onnx.op_implementations.pure_implementations)
PureLogSoftmax (class in daceml.onnx.op_implementations.pure_implementations)
PureMatMul (class in daceml.onnx.op_implementations.pure_implementations)
PureMaxPool2D (class in daceml.onnx.op_implementations.img_op_implementations)
PurePow (class in daceml.onnx.op_implementations.pure_implementations)
PureReciprocal (class in daceml.onnx.op_implementations.pure_implementations)
PureReduceMax (class in daceml.onnx.op_implementations.pure_implementations)
PureReduceMean (class in daceml.onnx.op_implementations.pure_implementations)
PureReduceMin (class in daceml.onnx.op_implementations.pure_implementations)
PureReduceSum (class in daceml.onnx.op_implementations.pure_implementations)
PureRelu (class in daceml.onnx.op_implementations.pure_implementations)
PureReshape (class in daceml.onnx.op_implementations.pure_implementations)
PureSigmoid (class in daceml.onnx.op_implementations.pure_implementations)
PureSoftmax (class in daceml.onnx.op_implementations.pure_implementations)
PureSqrt (class in daceml.onnx.op_implementations.pure_implementations)
PureSum (class in daceml.onnx.op_implementations.pure_implementations)
PureTranspose (class in daceml.onnx.op_implementations.pure_implementations)
R
reduction (ONNXNegativeLogLikelihoodLoss attribute)
(ONNXSoftmaxCrossEntropyLoss attribute)
replaced_value_float (ONNXImputer attribute)
replaced_value_int64 (ONNXImputer attribute)
required (ONNXAttribute attribute)
required_grad_names (BackwardResult attribute)
reset_sdfg() (DaceModule method)
reverse (ONNXCumSum attribute)
rho (ONNXSVMClassifier attribute)
(ONNXSVMRegressor attribute)
S
sample_size (ONNXMultinomial attribute)
sampling_ratio (ONNXRoiAlign attribute)
scale (ONNXRandomNormal attribute)
(ONNXRandomNormalLike attribute)
(ONNXScaler attribute)
schema (ONNXOp attribute)
sdfg (ONNXModel attribute)
seed (ONNXDropout attribute)
(ONNXMultinomial attribute)
(ONNXRandomNormal attribute)
(ONNXRandomNormalLike attribute)
(ONNXRandomUniform attribute)
(ONNXRandomUniformLike attribute)
select_last_index (ONNXArgMax attribute)
(ONNXArgMin attribute)
shape (ONNXRandomNormal attribute)
(ONNXRandomUniform attribute)
since_version (ONNXSchema attribute)
Single (ONNXParameterType attribute)
size (ONNXLRN attribute)
sorted (ONNXTopK attribute)
(ONNXUnique attribute)
spatial_scale (ONNXMaxRoiPool attribute)
(ONNXRoiAlign attribute)
split (ONNXSplit attribute)
state (ONNXModel attribute)
storage_order (ONNXMaxPool attribute)
strides (ONNXAveragePool attribute)
(ONNXConv attribute)
(ONNXConvInteger attribute)
(ONNXConvTranspose attribute)
(ONNXLpPool attribute)
(ONNXMaxPool attribute)
(ONNXMaxUnpool attribute)
(ONNXQLinearConv attribute)
String (ONNXAttributeType attribute)
Strings (ONNXAttributeType attribute)
support_vectors (ONNXSVMClassifier attribute)
(ONNXSVMRegressor attribute)
T
target_ids (ONNXTreeEnsembleRegressor attribute)
target_nodeids (ONNXTreeEnsembleRegressor attribute)
target_treeids (ONNXTreeEnsembleRegressor attribute)
target_weights (ONNXTreeEnsembleRegressor attribute)
targets (ONNXLinearRegressor attribute)
Tensor (ONNXAttributeType attribute)
threshold (ONNXBinarizer attribute)
time_axis (ONNXReverseSequence attribute)
to (ONNXCast attribute)
to_json() (ONNXAttribute method)
(ONNXParameter method)
(ONNXSchema method)
(ONNXTypeConstraint method)
training (DaceModule attribute)
transA (ONNXGemm attribute)
transB (ONNXGemm attribute)
type_constraints (ONNXSchema attribute)
type_str (ONNXParameter attribute)
(ONNXTypeConstraint attribute)
types (ONNXTypeConstraint attribute)
U
Unsupported (ONNXAttributeType attribute)
V
validate() (ONNXOp method)
value (ONNXConstant attribute)
(ONNXConstantOfShape attribute)
value_float (ONNXConstant attribute)
value_floats (ONNXConstant attribute)
value_int (ONNXConstant attribute)
value_ints (ONNXConstant attribute)
value_string (ONNXConstant attribute)
value_strings (ONNXConstant attribute)
values_floats (ONNXLabelEncoder attribute)
values_int64s (ONNXLabelEncoder attribute)
values_strings (ONNXLabelEncoder attribute)
Variadic (ONNXParameterType attribute)
vectors_per_class (ONNXSVMClassifier attribute)
W
weights (ONNXModel attribute)
(ONNXTfIdfVectorizer attribute)
X
xs (ONNXGradient attribute)
Y
y (ONNXGradient attribute)
Z
zeros (ONNXOneHotEncoder attribute)
zs (ONNXGradient attribute)
Read the Docs
v: latest
Versions
latest
readd_ops
new-checker
gallery
cudnn
Downloads
pdf
epub
On Read the Docs
Project Home
Builds