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该接口为常量初始化函数，用于权重初始化，通过输入的value值初始化输入变量；
返回：参数初始化类的实例
Constant
- 应用实践
- Release Note
- 安装说明
- API 文档
- paddle.amp
- paddle.callbacks
- paddle.compat
- paddle.distributed
- paddle.distribution
- paddle.fluid
- LoDTensor
- create_random_int_lodtensor
- load_op_library
- DataFeeder
- cuda_pinned_places
- get_flags
- DataFeedDesc
- release_memory
- memory_optimize
- set_flags
- device_guard
- data
- create_lod_tensor
- clip
- dataset
- dygraph
- evaluator
- initializer
- io
- layers
- resize_nearest
- clip_by_norm
- stack
- cumsum
- adaptive_pool3d
- sum
- continuous_value_model
- scatter
- teacher_student_sigmoid_loss
- reduce_any
- pad2d
- pad
- ctc_greedy_decoder
- density_prior_box
- create_py_reader_by_data
- DecodeHelper
- reduce_all
- reduce_prod
- crop_tensor
- reduce_min
- psroi_pool
- Normal
- piecewise_decay
- mul
- filter_by_instag
- MultivariateNormalDiag
- reduce_mean
- GreedyEmbeddingHelper
- elementwise_floordiv
- sequence_softmax
- logsigmoid
- elementwise_div
- reduce_sum
- elementwise_max
- reorder_lod_tensor_by_rank
- lod_reset
- roi_pool
- generate_mask_labels
- relu6
- fc
- random_crop
- im2sequence
- margin_rank_loss
- sums
- softshrink
- selu
- greater_equal
- locality_aware_nms
- natural_exp_decay
- iou_similarity
- unbind
- generate_proposal_labels
- pool2d
- inverse_time_decay
- create_tensor
- not_equal
- sampling_id
- StaticRNN
- rpn_target_assign
- increment
- argmax
- sequence_pool
- range
- box_coder
- flatten
- sigmoid_focal_loss
- elementwise_pow
- dynamic_lstm
- where
- sampled_softmax_with_cross_entropy
- softmax
- sigmoid_cross_entropy_with_logits
- l2_normalize
- data
- crop
- box_decoder_and_assign
- rnn
- topk
- sequence_first_step
- Decoder
- gelu
- split
- assign
- resize_bilinear
- reverse
- sequence_reshape
- bipartite_match
- brelu
- mean
- pool3d
- fsp_matrix
- ssd_loss
- sign
- shuffle_channel
- box_clip
- double_buffer
- elementwise_mod
- yolo_box
- hard_swish
- mse_loss
- rank_loss
- linear_lr_warmup
- retinanet_target_assign
- linear_chain_crf
- softplus
- GRUCell
- reshape
- SampleEmbeddingHelper
- reduce_max
- sequence_conv
- While
- sequence_reverse
- resize_trilinear
- dynamic_lstmp
- kldiv_loss
- argsort
- deformable_conv
- tensor_array_to_tensor
- DynamicRNN
- ones
- concat
- hash
- while_loop
- greater_than
- isfinite
- tanh_shrink
- strided_slice
- grid_sampler
- size
- hsigmoid
- gru_unit
- get_tensor_from_selected_rows
- adaptive_pool2d
- unsqueeze
- gather
- less_equal
- Categorical
- roi_align
- lrn
- sequence_concat
- matmul
- soft_relu
- prior_box
- argmin
- deformable_roi_pooling
- tanh
- array_length
- label_smooth
- space_to_depth
- equal
- image_resize
- dynamic_gru
- one_hot
- clip
- fill_constant
- LSTMCell
- yolov3_loss
- sequence_expand
- collect_fpn_proposals
- exponential_decay
- beam_search
- multiclass_nms
- huber_loss
- py_reader
- affine_grid
- leaky_relu
- elementwise_min
- lod_append
- autoincreased_step_counter
- sequence_expand_as
- zeros_like
- sequence_mask
- sequence_unpad
- lstm_unit
- elu
- zeros
- ones_like
- maxout
- read_file
- softsign
- diag
- affine_channel
- warpctc
- image_resize_short
- gaussian_random
- beam_search_decode
- polygon_box_transform
- similarity_focus
- eye
- target_assign
- has_inf
- edit_distance
- cosine_decay
- pixel_shuffle
- array_read
- lstm
- relu
- merge_selected_rows
- sequence_pad
- hard_sigmoid
- pow
- add_position_encoding
- embedding
- roi_perspective_transform
- expand_as
- BasicDecoder
- thresholded_relu
- elementwise_add
- unique_with_counts
- inplace_abn
- bpr_loss
- distribute_fpn_proposals
- expand
- cross_entropy
- cond
- sequence_enumerate
- dropout
- sequence_scatter
- swish
- polynomial_decay
- noam_decay
- RNNCell
- matrix_nms
- squeeze
- pad_constant_like
- anchor_generator
- Uniform
- unique
- center_loss
- generate_proposals
- Switch
- retinanet_detection_output
- sequence_last_step
- TrainingHelper
- IfElse
- has_nan
- prroi_pool
- smooth_l1
- gather_nd
- elementwise_sub
- uniform_random
- detection_output
- less_than
- array_write
- sequence_slice
- hard_shrink
- create_array
- metrics
- nets
- optimizer
- profiler
- reader
- regularizer
- transpiler
- require_version
- LoDTensorArray
- Tensor
- DistributeTranspiler
- one_hot
- DistributeTranspilerConfig
- paddle.io
- paddle.jit
- paddle
- sinh
- add
- addmm
- CUDAPinnedPlace
- less_equal
- in_dynamic_mode
- atan
- tanh
- tan
- shard_index
- is_empty
- divide
- mean
- isfinite
- logical_xor
- max
- ones
- gather
- CUDAPlace
- all
- log
- full
- erf
- norm
- summary
- greater_than
- triu
- rsqrt
- maximum
- nonzero
- tile
- squeeze
- cross
- get_default_dtype
- greater_equal
- numel
- get_device
- unsqueeze_
- any
- argmin
- sort
- randn
- gather_nd
- Model
- dist
- grad
- scatter_
- DataParallel
- zeros
- transpose
- enable_static
- topk
- slice
- get_cudnn_version
- less_than
- unstack
- ones_like
- rank
- roll
- argmax
- scatter_nd_add
- assign
- pow
- is_compiled_with_xpu
- zeros_like
- is_compiled_with_cuda
- load
- sign
- masked_select
- median
- multinomial
- multiplex
- bmm
- expand
- meshgrid
- reciprocal
- index_select
- prod
- expand_as
- minimum
- Tensor
- multiply
- square
- exp
- cast
- asin
- broadcast_shape
- cos
- split
- tanh_
- disable_static
- flatten
- set_device
- round
- set_default_dtype
- abs
- unsqueeze
- shape
- cosh
- std
- set_cuda_rng_state
- not_equal
- log10
- no_grad
- randperm
- CPUPlace
- increment
- logical_and
- log2
- Overview
- logical_not
- unbind
- floor
- scale
- to_tensor
- index_sample
- isinf
- logical_or
- diag
- floor_divide
- randint
- where
- empty_like
- sqrt
- flops
- broadcast_to
- clip
- t
- dot
- strided_slice
- is_tensor
- reshape_
- mv
- concat
- uniform
- XPUPlace
- sum
- inverse
- ParamAttr
- seed
- squeeze_
- conj
- histogram
- mm
- tril
- empty
- scatter
- stanh
- save
- equal
- reshape
- log1p
- matmul
- mod
- equal_all
- cumsum
- eye
- flip
- unique
- scatter_nd
- cholesky
- trace
- subtract
- min
- var
- chunk
- acos
- full_like
- normal
- logsumexp
- isnan
- stack
- linspace
- sin
- rand
- add_n
- arange
- bernoulli
- kron
- argsort
- imag
- allclose
- get_cuda_rng_state
- real
- ceil
- paddle.metric
- paddle.nn
- Dropout3D
- PixelShuffle
- dynamic_decode
- Bilinear
- Layer
- Sigmoid
- GRUCell
- MultiHeadAttention
- Hardtanh
- GroupNorm
- MSELoss
- LSTM
- PReLU
- BiRNN
- BatchNorm
- KLDivLoss
- AdaptiveAvgPool1D
- L1Loss
- Hardshrink
- Pad3D
- AdaptiveAvgPool3D
- AvgPool1D
- AvgPool3D
- HSigmoidLoss
- Softsign
- Hardswish
- ParameterList
- AvgPool2D
- SmoothL1Loss
- MaxPool3D
- LeakyReLU
- Softplus
- Tanhshrink
- CosineSimilarity
- BCELoss
- AdaptiveMaxPool1D
- Conv1DTranspose
- SyncBatchNorm
- InstanceNorm2D
- InstanceNorm3D
- GRU
- LayerList
- ELU
- LayerNorm
- Swish
- Conv2D
- GELU
- Maxout
- MaxPool2D
- RNN
- SpectralNorm
- CrossEntropyLoss
- BatchNorm3D
- Pad1D
- Softshrink
- Upsample
- ReLU
- ReLU6
- LSTMCell
- LogSoftmax
- Transformer
- BatchNorm1D
- Flatten
- SimpleRNNCell
- Pad2D
- AlphaDropout
- functional
- log_softmax
- softshrink
- prelu
- relu6
- dropout3d
- alpha_dropout
- cross_entropy
- adaptive_avg_pool3d
- elu
- leaky_relu
- sigmoid_focal_loss
- local_response_norm
- adaptive_max_pool3d
- hardsigmoid
- softmax_with_cross_entropy
- gather_tree
- swish
- adaptive_max_pool2d
- max_pool1d
- conv3d_transpose
- avg_pool1d
- hardshrink
- conv3d
- maxout
- dropout2d
- upsample
- log_sigmoid
- diag_embed
- dropout
- instance_norm
- conv2d
- pad
- one_hot
- binary_cross_entropy
- affine_grid
- max_pool2d
- ctc_loss
- tanhshrink
- nll_loss
- hsigmoid_loss
- thresholded_relu
- square_error_cost
- label_smooth
- conv1d
- pixel_shuffle
- relu
- temporal_shift
- binary_cross_entropy_with_logits
- embedding
- relu_
- softplus
- max_pool3d
- unfold
- adaptive_max_pool1d
- gelu
- batch_norm
- conv2d_transpose
- softmax_
- layer_norm
- softsign
- hardswish
- l1_loss
- dice_loss
- adaptive_avg_pool2d
- softmax
- cosine_similarity
- normalize
- sigmoid
- interpolate
- smooth_l1_loss
- avg_pool2d
- hardtanh
- linear
- conv1d_transpose
- kl_div
- npair_loss
- mse_loss
- selu
- avg_pool3d
- adaptive_avg_pool1d
- grid_sample
- bilinear
- log_loss
- margin_ranking_loss
- elu_
- initializer
- utils
- Linear
- LogSigmoid
- BatchNorm2D
- MaxPool1D
- CTCLoss
- Embedding
- Sequential
- ClipGradByValue
- RNNCellBase
- UpsamplingNearest2D
- InstanceNorm1D
- BeamSearchDecoder
- Conv1D
- Tanh
- TransformerDecoder
- SELU
- UpsamplingBilinear2D
- Conv2DTranspose
- Softmax
- Conv3DTranspose
- NLLLoss
- TransformerDecoderLayer
- Dropout
- Overview
- BCEWithLogitsLoss
- SimpleRNN
- PairwiseDistance
- Conv3D
- MarginRankingLoss
- AdaptiveAvgPool2D
- ClipGradByGlobalNorm
- TransformerEncoder
- AdaptiveMaxPool2D
- AdaptiveMaxPool3D
- Hardsigmoid
- Dropout2D
- TransformerEncoderLayer
- ClipGradByNorm
- LocalResponseNorm
- ThresholdedReLU
- paddle.onnx
- paddle.optimizer
- paddle.regularizer
- paddle.static
- load_from_file
- auc
- BuildStrategy
- create_global_var
- program_guard
- Program
- cpu_places
- xpu_places
- device_guard
- serialize_program
- ParallelExecutor
- deserialize_program
- create_parameter
- scope_guard
- CompiledProgram
- default_main_program
- load
- py_func
- nn
- serialize_persistables
- gradients
- append_backward
- ExecutionStrategy
- save_to_file
- Executor
- default_startup_program
- deserialize_persistables
- accuracy
- WeightNormParamAttr
- data
- Variable
- InputSpec
- load_inference_model
- save
- global_scope
- name_scope
- set_program_state
- save_inference_model
- load_program_state
- cuda_places
- paddle.sysconfig
- paddle.text
- paddle.utils
- paddle.vision
- get_image_backend
- set_image_backend
- Overview
- image_load
- datasets
- models
- ops
- transforms
- crop
- adjust_contrast
- CenterCrop
- vflip
- resize
- RandomHorizontalFli
- RandomCrop
- Normalize
- HueTransform
- adjust_hue
- Resize
- to_tensor
- ColorJitter
- pad
- Pad
- Compose
- Transpose
- hflip
- BaseTransform
- Grayscale
- center_crop
- to_grayscale
- RandomVerticalFlip
- adjust_brightness
- rotate
- normalize
- RandomResizedCrop
- BrightnessTransform
- ContrastTransform
- RandomRotation
- SaturationTransform
- ToTensor
- 常见问题
- 使用教程
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