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- A
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- Glu
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- M
- MA
- MSELoss
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- MaskIndices
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- NONE
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- Normalization
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- Object
- OneHot
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- OptState
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- PRelu
- Pad
- Param
- Parameter
- ParameterList
- PartitionState
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- Poly
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- Pow
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- Prod
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- Ptp
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- Quantile
- RMSNormalization
- RMSprop
- RNN
- RNNBase
- RPC_AVAILABLE
- R
- Rad2deg
- Radians
- RandAugment
- RandInt
- RandomBrightness
- RandomColorDegeneration
- RandomColorJitter
- RandomContrast
- RandomCrop
- RandomElasticTransform
- RandomErasing
- RandomFlip
- RandomGaussianBlur
- RandomGrayscale
- RandomHorizontalFlip
- RandomHue
- RandomInvert
- RandomPerspective
- RandomPosterization
- RandomRotation
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- RandomSharpness
- RandomShear
- RandomTranslation
- RandomVerticalFlip
- RandomZoom
- Ravel
- RavelMultiIndex
- ReLU
- Real
- Reciprocal
- Relu6
- Remainder
- Repeat
- RepeatVector
- Rescaling
- Reshape
- Resize
- Resizing
- ResultType
- ReversibleEmbedding
- RightShift
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- Rnncellbase
- Roll
- Rollaxis
- Roots
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- Round
- SGD
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- STRING
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- Scan
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- Selu
- SeparableConv1D
- SeparableConv2D
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- Sequential
- SetDiff1d
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- Shape
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- SiLU
- Sigmoid
- Sign
- Signbit
- SignedInteger
- SimpleRNN
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- Sin
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- Single
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- Softmax
- Softmax2d
- Softmin
- Softplus
- Softshrink
- Softsign
- Solarization
- Sort
- SortComplex
- Spacing
- Sparsemax
- SpatialDropout1D
- SpatialDropout2D
- SpatialDropout3D
- SpectralNorm
- SpectralNormalization
- Split
- Sqrt
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- Stack
- StackedRNNCells
- Std
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- T
- TFSMLayer
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- T_module
- Take
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- Tan
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- Tensor
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- TorchFunctional
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- Transformer
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- Tri
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- Triu
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- TrueDivide
- Trunc
- UInt8
- Ufunc
- Uint
- Uint16
- Uint2
- Uint32
- Uint4
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- Unflatten
- Unfold
- Union1d
- Unique
- UniqueAll
- UniqueCounts
- UniqueInverse
- UniqueValues
- UnitNormalization
- UnpackBits
- UnravelIndex
- UnsignedInteger
- Unsqueeze
- Unstack
- Unwrap
- UpSampling1D
- UpSampling2D
- UpSampling3D
- UpdateCvState
- Upsample
- V
- Vander
- Var
- Variable
- Vdot
- Vecdot
- Vecmat
- Vectorize
- View
- Vsplit
- Vstack
- WeightNorm
- Where
- WrappedSchedule
- Wrapper
- ZeroNansState
- ZeroPadding1D
- ZeroPadding2D
- ZeroPadding3D
- Zeros
- ZerosLike
- __array_namespace_info__
- absolute
- activation
- activation_relu_or_gelu
- adaptive_average_pool
- adaptive_grad_clip
- adaptive_max_pool
- add_decayed_weights
- add_noise
- add_scale
- addressable_data
- align_corners
- alpha
- amax
- amin
- apply
- apply_along_axis
- apply_gradients
- apply_if_finite
- apply_mask
- apply_over_axes
- approximate
- arccos
- arccosh
- arcsin
- arcsinh
- arctan
- arctan2
- arctanh
- args
- array_equal
- array_equiv
- array_split
- as_string
- assert_equal
- associative_scan
- at
- atleast_1d
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- atleast_3d
- attr
- average_pool
- axis
- base
- batch_normalization
- batch_shape
- beta
- bias
- bias_correction
- bias_hh
- bias_ih
- bias_k
- bias_v
- binary_cross_entropy
- binomial
- bits
- bitwise_and
- bitwise_invert
- bitwise_left_shift
- bitwise_not
- bitwise_or
- bitwise_right_shift
- bitwise_xor
- bool
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- broadcast_arrays
- broadcast_shapes
- broadcast_to
- byte
- cached
- can_cast
- cast_like
- categorical
- categorical_crossentropy
- cdouble
- ceil_mode
- chain
- char
- character
- children
- chisquare
- choice
- cholesky
- cholesky_inverse
- clear
- clip_by_block_rms
- clip_by_global_norm
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- close
- column_stack
- complex
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- compute_mask
- cond
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- conditionally_transform
- constant
- constant_schedule
- control_delta_method
- control_variates_jacobians
- conv1d_input
- conv1d_weight
- conv2d_input
- conv2d_weight
- conv3d_input
- conv3d_weight
- conv_transpose
- conv_transpose1d
- conv_transpose2d
- conv_transpose3d
- convert_to_numpy
- convert_to_tensor
- convex_kl_divergence
- copy_to_host_async
- cosine_decay_schedule
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- cosine_similarity
- count
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- cpu
- create_mask
- cross_entropy
- ctc_decode
- ctc_loss
- ctc_loss_with_forward_probs
- cumulative_prod
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- custom_gradient
- d_model
- data
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- decoder
- depthwise_conv
- deserialize
- device_ids
- device_mesh
- device_type
- diag_indices
- diag_indices_from
- digamma
- dilation
- dim
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- dirichlet
- div_value
- divide_no_nan
- dot_product_attention
- downscale_factor
- dropout1
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- dropout3
- eig
- eigh
- eigvals
- eigvalsh
- einsum_path
- ema
- embedding_dim
- empty_like
- enable_grad
- encoder
- end_dim
- eps
- erfc
- erfcx
- erfinv
- estimate_control_variate_coefficients
- euler_gamma
- eval
- expand_dims
- expit
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- extract_sequences
- eye
- f
- fft
- fft2
- fftfreq
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- fftshift
- fill_diagonal
- filters
- find_duplicates
- flatten_parameters
- float
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- fn
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- forward
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- from_dlpack
- full_like
- gamma
- gammainc
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- gaussian_nll_loss
- geometric
- get
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- get_item
- get_parameter
- get_printoptions
- glorot_normal
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- grad
- greater_equal
- group_size
- groups
- gumbel
- half
- hard_shrink
- hard_sigmoid
- hard_silu
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- hard_tanh
- he_normal
- he_uniform
- head
- head_dim
- hfft
- hidden_size
- hinge_loss
- histogram_bin_edges
- huber_loss
- ifft
- ifft2
- ifftn
- ifftshift
- ihfft
- iinfo
- in1_features
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- in_top_k
- inexact
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- init
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- inplace
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- interpolate
- inv
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- irfft
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- is_tensor
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- item
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- jit
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- jvp
- k
- kaiming_normal
- kaiming_uniform
- keep_params_nonnegative
- kernel_size
- key
- keys
- kl_divergence
- l1_loss
- l2_loss
- label_smoothing
- lambd
- laplace
- layer_norm
- layers
- leaky_relu
- left_shift
- less_equal
- linear1
- linear2
- linear_onecycle_schedule
- linear_schedule
- linear_to_mel_weight_matrix
- load_state_dict
- log_cosh
- log_ndtr
- log_prob
- log_sigmoid
- log_softmax
- logdet
- logger
- logical_and
- logical_not
- logical_or
- logical_xor
- logistic
- logit
- lognormal
- long
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- lstsq
- lu
- lu_factor
- map
- map_params
- margin
- margin_ranking_loss
- mask
- mask_check
- mask_indices
- mask_mod
- masked
- matrix_norm
- matrix_power
- matrix_rank
- matrix_transpose
- max_norm
- max_pool
- max_pool1d
- max_pool2d
- max_pool3d
- max_val
- measure_valued_estimation_mean
- measure_valued_estimation_std
- measure_valued_jacobians
- merge_masks
- metadata
- min_val
- mode
- modules
- moments
- momentum
- moving_avg_baseline
- mse_loss
- multi_dot
- multi_transform
- multivariate_normal
- n
- name
- named_chain
- named_modules
- named_parameters
- nan_to_num
- nbytes
- ndarray
- ndim
- negative
- negative_slope
- nextafter
- nll_loss
- no_grad
- nonlinearity
- norm
- norm1
- norm2
- norm3
- norm_first
- norm_type
- normal
- not_equal
- ntxent
- num_embeddings
- num_features
- num_groups
- num_heads
- num_layers
- number
- object
- one_hot
- ones
- ones_like
- orthogonal
- orthogonal
- out_features
- out_proj
- outer
- output_device
- output_ratio
- output_size
- p
- padding
- padding_idx
- parameters
- parameters_to_vector
- params
- pareto
- partition
- pathwise_jacobians
- per_example_global_norm_clip
- per_example_layer_norm_clip
- permutation
- permute_dims
- pi
- piecewise
- piecewise_constant_schedule
- piecewise_interpolate_schedule
- pinv
- place
- poisson
- polar
- polydiv
- polynomial_schedule
- pop
- popitem
- predict
- promote_types
- psi
- psnr
- qr
- quantize
- randn
- random_like
- rank
- ravel_multi_index
- rayleigh
- register_buffer
- register_parameter
- remove
- remove_axis
- replace
- reset
- reshape_weight_to_matrix
- result_type
- rfft
- rfft2
- rfftfreq
- rfftn
- right_shift
- rms_norm
- rms_normalization
- rsqrt
- safe_softmax_cross_entropy
- saturate_cast
- savez_compressed
- scale
- scale_factor
- scale_grad_by_freq
- scaled_dot_product_attention
- scatter_update
- score_function_jacobians
- seed
- segment_max
- segment_sum
- selective_transform
- separable_conv
- serialize
- set
- set_printoptions
- sgdr_schedule
- short
- shuffle
- sigmoid_binary_cross_entropy
- sigmoid_focal_loss
- skip_large_updates
- skip_not_finite
- slice_update
- slogdet
- smooth_l1_loss
- smooth_labels
- snapshot
- soft_shrink
- softmax_cross_entropy
- softmax_cross_entropy_with_integer_labels
- solve
- solve_triangular
- sparse
- sparse
- sparse_categorical_crossentropy
- sparse_plus
- sparse_sigmoid
- split_key_like
- squared_error
- squareplus
- start_dim
- state
- state_dict
- static_graph
- step
- stop_gradient
- stride
- strides
- svd
- svdvals
- swap
- switch
- take_along_axis
- tanh_shrink
- tensorinv
- tensorsolve
- test_import
- threshold
- to_dense
- to_device
- tolist
- top_k
- train
- training
- tree_add_scalar_mul
- tree_l1_norm
- tree_l2_norm
- tree_linf_norm
- tree_map_params
- tree_scalar_mul
- triangular
- tril_indices
- tril_indices_from
- trim_zeros
- triu_indices
- triu_indices_from
- true_divide
- trunc_normal
- truncated_normal
- type
- unflattened_size
- uniform
- unique_all
- unique_counts
- unique_inverse
- unique_values
- unravel_index
- unwrap_random_key_data
- update
- update_infinity_moment
- update_moment
- update_moment_per_elem_norm
- upper
- upsample_bilinear
- upsample_nearest
- upscale_factor
- value
- value_and_grad
- values
- variant
- vector_norm
- vectorized_map
- view_as_complex
- view_as_real
- vmap
- wald
- warmup_constant_schedule
- warmup_cosine_decay_schedule
- warmup_exponential_decay_schedule
- weight
- weight_hh
- weight_ih
- while_loop
- xavier_normal
- xavier_uniform
- xlog1py
- zero_grad
- zero_nans
- zeros
- zeros_like

Show Source

Nop¶

Auto-generated from numpy_code_defs

NumPy

API: numpy.nditer.nop

Strategy: Direct Mapping

Official Docs ↗

NVIDIA SASS

API: NOP

Strategy: Direct Mapping

"Previous" NonZero

"Next" Normalization

© Copyright 2026, Samuel Marks.

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