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该OP用于读取输入数组 LoDTensorArray 中指定位置的数据, 为输入的数组， 为指定的读取位置。常与 OP配合使用进行LoDTensorArray的读写。
例1:
返回类型：Variable
代码示例
array_read
- 应用实践
- Release Note
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- paddle.amp
- paddle.callbacks
- paddle.compat
- paddle.distributed
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- 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
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- regularizer
- transpiler
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- LoDTensorArray
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- DistributeTranspiler
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- DistributeTranspilerConfig
- paddle.io
- paddle.jit
- paddle
- sinh
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- CUDAPinnedPlace
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- in_dynamic_mode
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- divide
- mean
- isfinite
- logical_xor
- max
- ones
- gather
- CUDAPlace
- all
- log
- full
- erf
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- summary
- greater_than
- triu
- rsqrt
- maximum
- nonzero
- tile
- squeeze
- cross
- get_default_dtype
- greater_equal
- numel
- get_device
- unsqueeze_
- any
- argmin
- sort
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- Model
- dist
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- DataParallel
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- enable_static
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- rank
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- argmax
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- pow
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- zeros_like
- is_compiled_with_cuda
- load
- sign
- masked_select
- median
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- bmm
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- meshgrid
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- 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
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- set_cuda_rng_state
- not_equal
- log10
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- randperm
- CPUPlace
- increment
- logical_and
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- floor
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- index_sample
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- empty_like
- sqrt
- flops
- broadcast_to
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- t
- dot
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- is_tensor
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- uniform
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- 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
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- sin
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- 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
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- 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
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- deserialize_persistables
- accuracy
- WeightNormParamAttr
- data
- Variable
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- save_inference_model
- load_program_state
- cuda_places
- paddle.sysconfig
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- paddle.utils
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- get_image_backend
- set_image_backend
- Overview
- image_load
- datasets
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- 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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