MXNet
-
- ndarray
- ndarray.CachedOp
- ndarray.NDArray
- ndarray.Activation
- ndarray.BatchNorm
- ndarray.BatchNorm_v1
- ndarray.BilinearSampler
- ndarray.BlockGrad
- ndarray.CTCLoss
- ndarray.Cast
- ndarray.Concat
- ndarray.Convolution
- ndarray.Convolution_v1
- ndarray.Correlation
- ndarray.Crop
- ndarray.Custom
- ndarray.Deconvolution
- ndarray.Dropout
- ndarray.ElementWiseSum
- ndarray.Embedding
- ndarray.Flatten
- ndarray.FullyConnected
- ndarray.GridGenerator
- ndarray.GroupNorm
- ndarray.IdentityAttachKLSparseReg
- ndarray.InstanceNorm
- ndarray.L2Normalization
- ndarray.LRN
- ndarray.LayerNorm
- ndarray.LeakyReLU
- ndarray.LinearRegressionOutput
- ndarray.LogisticRegressionOutput
- ndarray.MAERegressionOutput
- ndarray.MakeLoss
- ndarray.Pad
- ndarray.Pooling
- ndarray.Pooling_v1
- ndarray.RNN
- ndarray.ROIPooling
- ndarray.Reshape
- ndarray.SVMOutput
- ndarray.SequenceLast
- ndarray.SequenceMask
- ndarray.SequenceReverse
- ndarray.SliceChannel
- ndarray.Softmax
- ndarray.SoftmaxActivation
- ndarray.SoftmaxOutput
- ndarray.SpatialTransformer
- ndarray.SwapAxis
- ndarray.UpSampling
- ndarray.abs
- ndarray.adam_update
- ndarray.add_n
- ndarray.all_finite
- ndarray.amp_cast
- ndarray.amp_multicast
- ndarray.arccos
- ndarray.arccosh
- ndarray.arcsin
- ndarray.arcsinh
- ndarray.arctan
- ndarray.arctanh
- ndarray.argmax
- ndarray.argmax_channel
- ndarray.argmin
- ndarray.argsort
- ndarray.batch_dot
- ndarray.batch_take
- ndarray.broadcast_add
- ndarray.broadcast_axes
- ndarray.broadcast_axis
- ndarray.broadcast_div
- ndarray.broadcast_equal
- ndarray.broadcast_greater
- ndarray.broadcast_greater_equal
- ndarray.broadcast_hypot
- ndarray.broadcast_lesser
- ndarray.broadcast_lesser_equal
- ndarray.broadcast_like
- ndarray.broadcast_logical_and
- ndarray.broadcast_logical_or
- ndarray.broadcast_logical_xor
- ndarray.broadcast_maximum
- ndarray.broadcast_minimum
- ndarray.broadcast_minus
- ndarray.broadcast_mod
- ndarray.broadcast_mul
- ndarray.broadcast_not_equal
- ndarray.broadcast_plus
- ndarray.broadcast_power
- ndarray.broadcast_sub
- ndarray.broadcast_to
- ndarray.cast
- ndarray.cast_storage
- ndarray.cbrt
- ndarray.ceil
- ndarray.choose_element_0index
- ndarray.clip
- ndarray.col2im
- ndarray.concat
- ndarray.cos
- ndarray.cosh
- ndarray.crop
- ndarray.ctc_loss
- ndarray.cumsum
- ndarray.degrees
- ndarray.depth_to_space
- ndarray.diag
- ndarray.dot
- ndarray.elemwise_add
- ndarray.elemwise_div
- ndarray.elemwise_mul
- ndarray.elemwise_sub
- ndarray.erf
- ndarray.erfinv
- ndarray.exp
- ndarray.expand_dims
- ndarray.expm1
- ndarray.fill_element_0index
- ndarray.fix
- ndarray.flatten
- ndarray.flip
- ndarray.floor
- ndarray.ftml_update
- ndarray.ftrl_update
- ndarray.gamma
- ndarray.gammaln
- ndarray.gather_nd
- ndarray.hard_sigmoid
- ndarray.identity
- ndarray.im2col
- ndarray.khatri_rao
- ndarray.lamb_update_phase1
- ndarray.lamb_update_phase2
- ndarray.linalg_det
- ndarray.linalg_extractdiag
- ndarray.linalg_extracttrian
- ndarray.linalg_gelqf
- ndarray.linalg_gemm
- ndarray.linalg_gemm2
- ndarray.linalg_inverse
- ndarray.linalg_makediag
- ndarray.linalg_maketrian
- ndarray.linalg_potrf
- ndarray.linalg_potri
- ndarray.linalg_slogdet
- ndarray.linalg_sumlogdiag
- ndarray.linalg_syrk
- ndarray.linalg_trmm
- ndarray.linalg_trsm
- ndarray.log
- ndarray.log10
- ndarray.log1p
- ndarray.log2
- ndarray.log_softmax
- ndarray.logical_not
- ndarray.make_loss
- ndarray.max
- ndarray.max_axis
- ndarray.mean
- ndarray.min
- ndarray.min_axis
- ndarray.moments
- ndarray.mp_lamb_update_phase1
- ndarray.mp_lamb_update_phase2
- ndarray.mp_nag_mom_update
- ndarray.mp_sgd_mom_update
- ndarray.mp_sgd_update
- ndarray.multi_all_finite
- ndarray.multi_lars
- ndarray.multi_mp_sgd_mom_update
- ndarray.multi_mp_sgd_update
- ndarray.multi_sgd_mom_update
- ndarray.multi_sgd_update
- ndarray.multi_sum_sq
- ndarray.nag_mom_update
- ndarray.nanprod
- ndarray.nansum
- ndarray.negative
- ndarray.norm
- ndarray.normal
- ndarray.one_hot
- ndarray.ones_like
- ndarray.pad
- ndarray.pick
- ndarray.preloaded_multi_mp_sgd_mom_update
- ndarray.preloaded_multi_mp_sgd_update
- ndarray.preloaded_multi_sgd_mom_update
- ndarray.preloaded_multi_sgd_update
- ndarray.prod
- ndarray.radians
- ndarray.random_exponential
- ndarray.random_gamma
- ndarray.random_generalized_negative_binomial
- ndarray.random_negative_binomial
- ndarray.random_normal
- ndarray.random_pdf_dirichlet
- ndarray.random_pdf_exponential
- ndarray.random_pdf_gamma
- ndarray.random_pdf_generalized_negative_binomial
- ndarray.random_pdf_negative_binomial
- ndarray.random_pdf_normal
- ndarray.random_pdf_poisson
- ndarray.random_pdf_uniform
- ndarray.random_poisson
- ndarray.random_randint
- ndarray.random_uniform
- ndarray.ravel_multi_index
- ndarray.rcbrt
- ndarray.reciprocal
- ndarray.relu
- ndarray.repeat
- ndarray.reset_arrays
- ndarray.reshape
- ndarray.reshape_like
- ndarray.reverse
- ndarray.rint
- ndarray.rmsprop_update
- ndarray.rmspropalex_update
- ndarray.round
- ndarray.rsqrt
- ndarray.sample_exponential
- ndarray.sample_gamma
- ndarray.sample_generalized_negative_binomial
- ndarray.sample_multinomial
- ndarray.sample_negative_binomial
- ndarray.sample_normal
- ndarray.sample_poisson
- ndarray.sample_uniform
- ndarray.scatter_nd
- ndarray.sgd_mom_update
- ndarray.sgd_update
- ndarray.shape_array
- ndarray.shuffle
- ndarray.sigmoid
- ndarray.sign
- ndarray.signsgd_update
- ndarray.signum_update
- ndarray.sin
- ndarray.sinh
- ndarray.size_array
- ndarray.slice
- ndarray.slice_axis
- ndarray.slice_like
- ndarray.smooth_l1
- ndarray.softmax
- ndarray.softmax_cross_entropy
- ndarray.softmin
- ndarray.softsign
- ndarray.sort
- ndarray.space_to_depth
- ndarray.split
- ndarray.sqrt
- ndarray.square
- ndarray.squeeze
- ndarray.stack
- ndarray.stop_gradient
- ndarray.sum
- ndarray.sum_axis
- ndarray.swapaxes
- ndarray.take
- ndarray.tan
- ndarray.tanh
- ndarray.tile
- ndarray.topk
- ndarray.transpose
- ndarray.trunc
- ndarray.uniform
- ndarray.unravel_index
- ndarray.where
- ndarray.zeros_like
- ndarray.concatenate
- ndarray.ones
- ndarray.add
- ndarray.arange
- ndarray.linspace
- ndarray.eye
- ndarray.divide
- ndarray.equal
- ndarray.full
- ndarray.greater
- ndarray.greater_equal
- ndarray.imdecode
- ndarray.lesser
- ndarray.lesser_equal
- ndarray.logical_and
- ndarray.logical_or
- ndarray.logical_xor
- ndarray.maximum
- ndarray.minimum
- ndarray.moveaxis
- ndarray.modulo
- ndarray.multiply
- ndarray.not_equal
- ndarray.onehot_encode
- ndarray.power
- ndarray.subtract
- ndarray.true_divide
- ndarray.waitall
- ndarray.histogram
- ndarray.split_v2
- ndarray.to_dlpack_for_read
- ndarray.to_dlpack_for_write
- ndarray.from_dlpack
- ndarray.from_numpy
- ndarray.zeros
- ndarray.indexing_key_expand_implicit_axes
- ndarray.get_indexing_dispatch_code
- ndarray.get_oshape_of_gather_nd_op
- ndarray.empty
- ndarray.array
- ndarray.load
- ndarray.load_frombuffer
- ndarray.save
-
- ndarray.contrib
- ndarray.contrib.rand_zipfian
- ndarray.contrib.foreach
- ndarray.contrib.while_loop
- ndarray.contrib.cond
- ndarray.contrib.isinf
- ndarray.contrib.isfinite
- ndarray.contrib.isnan
- ndarray.contrib.AdaptiveAvgPooling2D
- ndarray.contrib.BilinearResize2D
- ndarray.contrib.CTCLoss
- ndarray.contrib.DeformableConvolution
- ndarray.contrib.DeformablePSROIPooling
- ndarray.contrib.ModulatedDeformableConvolution
- ndarray.contrib.MultiBoxDetection
- ndarray.contrib.MultiBoxPrior
- ndarray.contrib.MultiBoxTarget
- ndarray.contrib.MultiProposal
- ndarray.contrib.PSROIPooling
- ndarray.contrib.Proposal
- ndarray.contrib.ROIAlign
- ndarray.contrib.RROIAlign
- ndarray.contrib.SparseEmbedding
- ndarray.contrib.SyncBatchNorm
- ndarray.contrib.allclose
- ndarray.contrib.arange_like
- ndarray.contrib.backward_gradientmultiplier
- ndarray.contrib.backward_hawkesll
- ndarray.contrib.backward_index_copy
- ndarray.contrib.backward_quadratic
- ndarray.contrib.bipartite_matching
- ndarray.contrib.boolean_mask
- ndarray.contrib.box_decode
- ndarray.contrib.box_encode
- ndarray.contrib.box_iou
- ndarray.contrib.box_nms
- ndarray.contrib.box_non_maximum_suppression
- ndarray.contrib.calibrate_entropy
- ndarray.contrib.count_sketch
- ndarray.contrib.ctc_loss
- ndarray.contrib.dequantize
- ndarray.contrib.dgl_adjacency
- ndarray.contrib.dgl_csr_neighbor_non_uniform_sample
- ndarray.contrib.dgl_csr_neighbor_uniform_sample
- ndarray.contrib.dgl_graph_compact
- ndarray.contrib.dgl_subgraph
- ndarray.contrib.div_sqrt_dim
- ndarray.contrib.edge_id
- ndarray.contrib.fft
- ndarray.contrib.getnnz
- ndarray.contrib.gradientmultiplier
- ndarray.contrib.group_adagrad_update
- ndarray.contrib.hawkesll
- ndarray.contrib.ifft
- ndarray.contrib.index_array
- ndarray.contrib.index_copy
- ndarray.contrib.interleaved_matmul_encdec_qk
- ndarray.contrib.interleaved_matmul_encdec_valatt
- ndarray.contrib.interleaved_matmul_selfatt_qk
- ndarray.contrib.interleaved_matmul_selfatt_valatt
- ndarray.contrib.quadratic
- ndarray.contrib.quantize
- ndarray.contrib.quantize_v2
- ndarray.contrib.quantized_act
- ndarray.contrib.quantized_batch_norm
- ndarray.contrib.quantized_concat
- ndarray.contrib.quantized_conv
- ndarray.contrib.quantized_elemwise_add
- ndarray.contrib.quantized_elemwise_mul
- ndarray.contrib.quantized_embedding
- ndarray.contrib.quantized_flatten
- ndarray.contrib.quantized_fully_connected
- ndarray.contrib.quantized_pooling
- ndarray.contrib.requantize
- ndarray.contrib.round_ste
- ndarray.contrib.sign_ste
-
- ndarray.image
- ndarray.image.adjust_lighting
- ndarray.image.crop
- ndarray.image.flip_left_right
- ndarray.image.flip_top_bottom
- ndarray.image.normalize
- ndarray.image.random_brightness
- ndarray.image.random_color_jitter
- ndarray.image.random_contrast
- ndarray.image.random_flip_left_right
- ndarray.image.random_flip_top_bottom
- ndarray.image.random_hue
- ndarray.image.random_lighting
- ndarray.image.random_saturation
- ndarray.image.resize
- ndarray.image.to_tensor
-
- ndarray.linalg
- ndarray.linalg.det
- ndarray.linalg.extractdiag
- ndarray.linalg.extracttrian
- ndarray.linalg.gelqf
- ndarray.linalg.gemm
- ndarray.linalg.gemm2
- ndarray.linalg.inverse
- ndarray.linalg.makediag
- ndarray.linalg.maketrian
- ndarray.linalg.potrf
- ndarray.linalg.potri
- ndarray.linalg.slogdet
- ndarray.linalg.sumlogdiag
- ndarray.linalg.syevd
- ndarray.linalg.syrk
- ndarray.linalg.trmm
- ndarray.linalg.trsm
-
- ndarray.op
- ndarray.op.CachedOp
- ndarray.op.Activation
- ndarray.op.BatchNorm
- ndarray.op.BatchNorm_v1
- ndarray.op.BilinearSampler
- ndarray.op.BlockGrad
- ndarray.op.CTCLoss
- ndarray.op.Cast
- ndarray.op.Concat
- ndarray.op.Convolution
- ndarray.op.Convolution_v1
- ndarray.op.Correlation
- ndarray.op.Crop
- ndarray.op.Custom
- ndarray.op.Deconvolution
- ndarray.op.Dropout
- ndarray.op.ElementWiseSum
- ndarray.op.Embedding
- ndarray.op.Flatten
- ndarray.op.FullyConnected
- ndarray.op.GridGenerator
- ndarray.op.GroupNorm
- ndarray.op.IdentityAttachKLSparseReg
- ndarray.op.InstanceNorm
- ndarray.op.L2Normalization
- ndarray.op.LRN
- ndarray.op.LayerNorm
- ndarray.op.LeakyReLU
- ndarray.op.LinearRegressionOutput
- ndarray.op.LogisticRegressionOutput
- ndarray.op.MAERegressionOutput
- ndarray.op.MakeLoss
- ndarray.op.Pad
- ndarray.op.Pooling
- ndarray.op.Pooling_v1
- ndarray.op.RNN
- ndarray.op.ROIPooling
- ndarray.op.Reshape
- ndarray.op.SVMOutput
- ndarray.op.SequenceLast
- ndarray.op.SequenceMask
- ndarray.op.SequenceReverse
- ndarray.op.SliceChannel
- ndarray.op.Softmax
- ndarray.op.SoftmaxActivation
- ndarray.op.SoftmaxOutput
- ndarray.op.SpatialTransformer
- ndarray.op.SwapAxis
- ndarray.op.UpSampling
- ndarray.op.abs
- ndarray.op.adam_update
- ndarray.op.add_n
- ndarray.op.all_finite
- ndarray.op.amp_cast
- ndarray.op.amp_multicast
- ndarray.op.arccos
- ndarray.op.arccosh
- ndarray.op.arcsin
- ndarray.op.arcsinh
- ndarray.op.arctan
- ndarray.op.arctanh
- ndarray.op.argmax
- ndarray.op.argmax_channel
- ndarray.op.argmin
- ndarray.op.argsort
- ndarray.op.batch_dot
- ndarray.op.batch_take
- ndarray.op.broadcast_add
- ndarray.op.broadcast_axes
- ndarray.op.broadcast_axis
- ndarray.op.broadcast_div
- ndarray.op.broadcast_equal
- ndarray.op.broadcast_greater
- ndarray.op.broadcast_greater_equal
- ndarray.op.broadcast_hypot
- ndarray.op.broadcast_lesser
- ndarray.op.broadcast_lesser_equal
- ndarray.op.broadcast_like
- ndarray.op.broadcast_logical_and
- ndarray.op.broadcast_logical_or
- ndarray.op.broadcast_logical_xor
- ndarray.op.broadcast_maximum
- ndarray.op.broadcast_minimum
- ndarray.op.broadcast_minus
- ndarray.op.broadcast_mod
- ndarray.op.broadcast_mul
- ndarray.op.broadcast_not_equal
- ndarray.op.broadcast_plus
- ndarray.op.broadcast_power
- ndarray.op.broadcast_sub
- ndarray.op.broadcast_to
- ndarray.op.cast
- ndarray.op.cast_storage
- ndarray.op.cbrt
- ndarray.op.ceil
- ndarray.op.choose_element_0index
- ndarray.op.clip
- ndarray.op.col2im
- ndarray.op.concat
- ndarray.op.cos
- ndarray.op.cosh
- ndarray.op.crop
- ndarray.op.ctc_loss
- ndarray.op.cumsum
- ndarray.op.degrees
- ndarray.op.depth_to_space
- ndarray.op.diag
- ndarray.op.dot
- ndarray.op.elemwise_add
- ndarray.op.elemwise_div
- ndarray.op.elemwise_mul
- ndarray.op.elemwise_sub
- ndarray.op.erf
- ndarray.op.erfinv
- ndarray.op.exp
- ndarray.op.expand_dims
- ndarray.op.expm1
- ndarray.op.fill_element_0index
- ndarray.op.fix
- ndarray.op.flatten
- ndarray.op.flip
- ndarray.op.floor
- ndarray.op.ftml_update
- ndarray.op.ftrl_update
- ndarray.op.gamma
- ndarray.op.gammaln
- ndarray.op.gather_nd
- ndarray.op.hard_sigmoid
- ndarray.op.identity
- ndarray.op.im2col
- ndarray.op.khatri_rao
- ndarray.op.lamb_update_phase1
- ndarray.op.lamb_update_phase2
- ndarray.op.linalg_det
- ndarray.op.linalg_extractdiag
- ndarray.op.linalg_extracttrian
- ndarray.op.linalg_gelqf
- ndarray.op.linalg_gemm
- ndarray.op.linalg_gemm2
- ndarray.op.linalg_inverse
- ndarray.op.linalg_makediag
- ndarray.op.linalg_maketrian
- ndarray.op.linalg_potrf
- ndarray.op.linalg_potri
- ndarray.op.linalg_slogdet
- ndarray.op.linalg_sumlogdiag
- ndarray.op.linalg_syrk
- ndarray.op.linalg_trmm
- ndarray.op.linalg_trsm
- ndarray.op.log
- ndarray.op.log10
- ndarray.op.log1p
- ndarray.op.log2
- ndarray.op.log_softmax
- ndarray.op.logical_not
- ndarray.op.make_loss
- ndarray.op.max
- ndarray.op.max_axis
- ndarray.op.mean
- ndarray.op.min
- ndarray.op.min_axis
- ndarray.op.moments
- ndarray.op.mp_lamb_update_phase1
- ndarray.op.mp_lamb_update_phase2
- ndarray.op.mp_nag_mom_update
- ndarray.op.mp_sgd_mom_update
- ndarray.op.mp_sgd_update
- ndarray.op.multi_all_finite
- ndarray.op.multi_lars
- ndarray.op.multi_mp_sgd_mom_update
- ndarray.op.multi_mp_sgd_update
- ndarray.op.multi_sgd_mom_update
- ndarray.op.multi_sgd_update
- ndarray.op.multi_sum_sq
- ndarray.op.nag_mom_update
- ndarray.op.nanprod
- ndarray.op.nansum
- ndarray.op.negative
- ndarray.op.norm
- ndarray.op.normal
- ndarray.op.one_hot
- ndarray.op.ones_like
- ndarray.op.pad
- ndarray.op.pick
- ndarray.op.preloaded_multi_mp_sgd_mom_update
- ndarray.op.preloaded_multi_mp_sgd_update
- ndarray.op.preloaded_multi_sgd_mom_update
- ndarray.op.preloaded_multi_sgd_update
- ndarray.op.prod
- ndarray.op.radians
- ndarray.op.random_exponential
- ndarray.op.random_gamma
- ndarray.op.random_generalized_negative_binomial
- ndarray.op.random_negative_binomial
- ndarray.op.random_normal
- ndarray.op.random_pdf_dirichlet
- ndarray.op.random_pdf_exponential
- ndarray.op.random_pdf_gamma
- ndarray.op.random_pdf_generalized_negative_binomial
- ndarray.op.random_pdf_negative_binomial
- ndarray.op.random_pdf_normal
- ndarray.op.random_pdf_poisson
- ndarray.op.random_pdf_uniform
- ndarray.op.random_poisson
- ndarray.op.random_randint
- ndarray.op.random_uniform
- ndarray.op.ravel_multi_index
- ndarray.op.rcbrt
- ndarray.op.reciprocal
- ndarray.op.relu
- ndarray.op.repeat
- ndarray.op.reset_arrays
- ndarray.op.reshape
- ndarray.op.reshape_like
- ndarray.op.reverse
- ndarray.op.rint
- ndarray.op.rmsprop_update
- ndarray.op.rmspropalex_update
- ndarray.op.round
- ndarray.op.rsqrt
- ndarray.op.sample_exponential
- ndarray.op.sample_gamma
- ndarray.op.sample_generalized_negative_binomial
- ndarray.op.sample_multinomial
- ndarray.op.sample_negative_binomial
- ndarray.op.sample_normal
- ndarray.op.sample_poisson
- ndarray.op.sample_uniform
- ndarray.op.scatter_nd
- ndarray.op.sgd_mom_update
- ndarray.op.sgd_update
- ndarray.op.shape_array
- ndarray.op.shuffle
- ndarray.op.sigmoid
- ndarray.op.sign
- ndarray.op.signsgd_update
- ndarray.op.signum_update
- ndarray.op.sin
- ndarray.op.sinh
- ndarray.op.size_array
- ndarray.op.slice
- ndarray.op.slice_axis
- ndarray.op.slice_like
- ndarray.op.smooth_l1
- ndarray.op.softmax
- ndarray.op.softmax_cross_entropy
- ndarray.op.softmin
- ndarray.op.softsign
- ndarray.op.sort
- ndarray.op.space_to_depth
- ndarray.op.split
- ndarray.op.sqrt
- ndarray.op.square
- ndarray.op.squeeze
- ndarray.op.stack
- ndarray.op.stop_gradient
- ndarray.op.sum
- ndarray.op.sum_axis
- ndarray.op.swapaxes
- ndarray.op.take
- ndarray.op.tan
- ndarray.op.tanh
- ndarray.op.tile
- ndarray.op.topk
- ndarray.op.transpose
- ndarray.op.trunc
- ndarray.op.uniform
- ndarray.op.unravel_index
- ndarray.op.where
- ndarray.op.zeros_like
-
- ndarray.random
- ndarray.random.uniform
- ndarray.random.normal
- ndarray.random.randn
- ndarray.random.poisson
- ndarray.random.exponential
- ndarray.random.gamma
- ndarray.random.multinomial
- ndarray.random.negative_binomial
- ndarray.random.generalized_negative_binomial
- ndarray.random.shuffle
- ndarray.random.randint
- ndarray.random.exponential_like
- ndarray.random.gamma_like
- ndarray.random.generalized_negative_binomial_like
- ndarray.random.negative_binomial_like
- ndarray.random.normal_like
- ndarray.random.poisson_like
- ndarray.random.uniform_like
- ndarray.register
-
- ndarray.sparse
- ndarray.sparse.csr_matrix
- ndarray.sparse.row_sparse_array
- ndarray.sparse.add
- ndarray.sparse.subtract
- ndarray.sparse.multiply
- ndarray.sparse.divide
- ndarray.sparse.ElementWiseSum
- ndarray.sparse.Embedding
- ndarray.sparse.FullyConnected
- ndarray.sparse.LinearRegressionOutput
- ndarray.sparse.LogisticRegressionOutput
- ndarray.sparse.MAERegressionOutput
- ndarray.sparse.abs
- ndarray.sparse.adagrad_update
- ndarray.sparse.adam_update
- ndarray.sparse.add_n
- ndarray.sparse.arccos
- ndarray.sparse.arccosh
- ndarray.sparse.arcsin
- ndarray.sparse.arcsinh
- ndarray.sparse.arctan
- ndarray.sparse.arctanh
- ndarray.sparse.broadcast_add
- ndarray.sparse.broadcast_div
- ndarray.sparse.broadcast_minus
- ndarray.sparse.broadcast_mul
- ndarray.sparse.broadcast_plus
- ndarray.sparse.broadcast_sub
- ndarray.sparse.cast_storage
- ndarray.sparse.cbrt
- ndarray.sparse.ceil
- ndarray.sparse.clip
- ndarray.sparse.concat
- ndarray.sparse.cos
- ndarray.sparse.cosh
- ndarray.sparse.degrees
- ndarray.sparse.dot
- ndarray.sparse.elemwise_add
- ndarray.sparse.elemwise_div
- ndarray.sparse.elemwise_mul
- ndarray.sparse.elemwise_sub
- ndarray.sparse.exp
- ndarray.sparse.expm1
- ndarray.sparse.fix
- ndarray.sparse.floor
- ndarray.sparse.ftrl_update
- ndarray.sparse.gamma
- ndarray.sparse.gammaln
- ndarray.sparse.log
- ndarray.sparse.log10
- ndarray.sparse.log1p
- ndarray.sparse.log2
- ndarray.sparse.make_loss
- ndarray.sparse.mean
- ndarray.sparse.negative
- ndarray.sparse.norm
- ndarray.sparse.radians
- ndarray.sparse.relu
- ndarray.sparse.retain
- ndarray.sparse.rint
- ndarray.sparse.round
- ndarray.sparse.rsqrt
- ndarray.sparse.sgd_mom_update
- ndarray.sparse.sgd_update
- ndarray.sparse.sigmoid
- ndarray.sparse.sign
- ndarray.sparse.sin
- ndarray.sparse.sinh
- ndarray.sparse.slice
- ndarray.sparse.sqrt
- ndarray.sparse.square
- ndarray.sparse.stop_gradient
- ndarray.sparse.sum
- ndarray.sparse.tan
- ndarray.sparse.tanh
- ndarray.sparse.trunc
- ndarray.sparse.where
- ndarray.sparse.zeros_like
- ndarray.sparse.BaseSparseNDArray
- ndarray.sparse.CSRNDArray
- ndarray.sparse.RowSparseNDArray
-
- gluon.Block
- gluon.Block.apply
- gluon.Block.cast
- gluon.Block.collect_params
- gluon.Block.forward
- gluon.Block.hybridize
- gluon.Block.initialize
- gluon.Block.load_parameters
- gluon.Block.load_params
- gluon.Block.name_scope
- gluon.Block.register_child
- gluon.Block.register_forward_hook
- gluon.Block.register_forward_pre_hook
- gluon.Block.register_op_hook
- gluon.Block.save_parameters
- gluon.Block.save_params
- gluon.Block.summary
-
- gluon.HybridBlock
- gluon.HybridBlock.apply
- gluon.HybridBlock.cast
- gluon.HybridBlock.collect_params
- gluon.HybridBlock.export
- gluon.HybridBlock.forward
- gluon.HybridBlock.hybrid_forward
- gluon.HybridBlock.hybridize
- gluon.HybridBlock.infer_shape
- gluon.HybridBlock.infer_type
- gluon.HybridBlock.initialize
- gluon.HybridBlock.load_parameters
- gluon.HybridBlock.load_params
- gluon.HybridBlock.name_scope
- gluon.HybridBlock.optimize_for
- gluon.HybridBlock.register_child
- gluon.HybridBlock.register_forward_hook
- gluon.HybridBlock.register_forward_pre_hook
- gluon.HybridBlock.register_op_hook
- gluon.HybridBlock.save_parameters
- gluon.HybridBlock.save_params
- gluon.HybridBlock.summary
-
- gluon.SymbolBlock
- gluon.SymbolBlock.apply
- gluon.SymbolBlock.cast
- gluon.SymbolBlock.collect_params
- gluon.SymbolBlock.export
- gluon.SymbolBlock.forward
- gluon.SymbolBlock.hybrid_forward
- gluon.SymbolBlock.hybridize
- gluon.SymbolBlock.imports
- gluon.SymbolBlock.infer_shape
- gluon.SymbolBlock.infer_type
- gluon.SymbolBlock.initialize
- gluon.SymbolBlock.load_parameters
- gluon.SymbolBlock.load_params
- gluon.SymbolBlock.name_scope
- gluon.SymbolBlock.optimize_for
- gluon.SymbolBlock.register_child
- gluon.SymbolBlock.register_forward_hook
- gluon.SymbolBlock.register_forward_pre_hook
- gluon.SymbolBlock.register_op_hook
- gluon.SymbolBlock.save_parameters
- gluon.SymbolBlock.save_params
- gluon.SymbolBlock.summary
-
- gluon.Constant
- gluon.Constant.cast
- gluon.Constant.data
- gluon.Constant.grad
- gluon.Constant.initialize
- gluon.Constant.list_ctx
- gluon.Constant.list_data
- gluon.Constant.list_grad
- gluon.Constant.list_row_sparse_data
- gluon.Constant.reset_ctx
- gluon.Constant.row_sparse_data
- gluon.Constant.set_data
- gluon.Constant.var
- gluon.Constant.zero_grad
-
- gluon.Parameter
- gluon.Parameter.cast
- gluon.Parameter.data
- gluon.Parameter.grad
- gluon.Parameter.initialize
- gluon.Parameter.list_ctx
- gluon.Parameter.list_data
- gluon.Parameter.list_grad
- gluon.Parameter.list_row_sparse_data
- gluon.Parameter.reset_ctx
- gluon.Parameter.row_sparse_data
- gluon.Parameter.set_data
- gluon.Parameter.var
- gluon.Parameter.zero_grad
-
- gluon.ParameterDict
- gluon.ParameterDict.get
- gluon.ParameterDict.get_constant
- gluon.ParameterDict.initialize
- gluon.ParameterDict.list_ctx
- gluon.ParameterDict.load
- gluon.ParameterDict.load_dict
- gluon.ParameterDict.reset_ctx
- gluon.ParameterDict.save
- gluon.ParameterDict.setattr
- gluon.ParameterDict.update
- gluon.ParameterDict.zero_grad
- gluon.contrib
-
- gluon.data
- gluon.data.vision.datasets
- gluon.data.vision.transforms
- gluon.data.Dataset
- gluon.data.ArrayDataset
- gluon.data.RecordFileDataset
- gluon.data.SimpleDataset
- gluon.data.BatchSampler
- gluon.data.DataLoader
- gluon.data.FilterSampler
- gluon.data.RandomSampler
- gluon.data.Sampler
- gluon.data.SequentialSampler
-
- gluon.loss
- gluon.loss.Loss
- gluon.loss.L2Loss
- gluon.loss.L1Loss
- gluon.loss.SigmoidBinaryCrossEntropyLoss
- gluon.loss.SigmoidBCELoss
- gluon.loss.SoftmaxCrossEntropyLoss
- gluon.loss.SoftmaxCELoss
- gluon.loss.KLDivLoss
- gluon.loss.CTCLoss
- gluon.loss.HuberLoss
- gluon.loss.HingeLoss
- gluon.loss.SquaredHingeLoss
- gluon.loss.LogisticLoss
- gluon.loss.TripletLoss
- gluon.loss.PoissonNLLLoss
- gluon.loss.CosineEmbeddingLoss
- gluon.loss.SDMLLoss
- gluon.nn
- gluon.rnn
- initializer
- initializer.Bilinear
- initializer.Constant
- initializer.FusedRNN
- initializer.InitDesc
- initializer.Initializer
- initializer.LSTMBias
- initializer.Load
- initializer.MSRAPrelu
- initializer.Mixed
- initializer.Normal
- initializer.One
- initializer.Orthogonal
- initializer.Uniform
- initializer.Xavier
- initializer.Zero
- optimizer
- optimizer.AdaDelta
- optimizer.AdaGrad
- optimizer.Adam
- optimizer.Adamax
- optimizer.DCASGD
- optimizer.FTML
- optimizer.Ftrl
- optimizer.LARS
- optimizer.LBSGD
- optimizer.NAG
- optimizer.Nadam
- optimizer.Optimizer
- optimizer.RMSProp
- optimizer.SGD
- optimizer.SGLD
- optimizer.Signum
- optimizer.LAMB
- optimizer.Test
- optimizer.Updater
- optimizer.ccSGD
- metric
- metric.Accuracy
- metric.Caffe
- metric.CompositeEvalMetric
- metric.CrossEntropy
- metric.CustomMetric
- metric.EvalMetric
- metric.F1
- metric.Loss
- metric.MAE
- metric.MCC
- metric.MSE
- metric.NegativeLogLikelihood
- metric.PCC
- metric.PearsonCorrelation
- metric.Perplexity
- metric.RMSE
- metric.TopKAccuracy
- metric.Torch
- symbol
-
- symbol.contrib
- symbol.contrib.rand_zipfian
- symbol.contrib.foreach
- symbol.contrib.while_loop
- symbol.contrib.cond
- symbol.contrib.AdaptiveAvgPooling2D
- symbol.contrib.BilinearResize2D
- symbol.contrib.CTCLoss
- symbol.contrib.DeformableConvolution
- symbol.contrib.DeformablePSROIPooling
- symbol.contrib.ModulatedDeformableConvolution
- symbol.contrib.MultiBoxDetection
- symbol.contrib.MultiBoxPrior
- symbol.contrib.MultiBoxTarget
- symbol.contrib.MultiProposal
- symbol.contrib.PSROIPooling
- symbol.contrib.Proposal
- symbol.contrib.ROIAlign
- symbol.contrib.RROIAlign
- symbol.contrib.SparseEmbedding
- symbol.contrib.SyncBatchNorm
- symbol.contrib.allclose
- symbol.contrib.arange_like
- symbol.contrib.backward_gradientmultiplier
- symbol.contrib.backward_hawkesll
- symbol.contrib.backward_index_copy
- symbol.contrib.backward_quadratic
- symbol.contrib.bipartite_matching
- symbol.contrib.boolean_mask
- symbol.contrib.box_decode
- symbol.contrib.box_encode
- symbol.contrib.box_iou
- symbol.contrib.box_nms
- symbol.contrib.box_non_maximum_suppression
- symbol.contrib.calibrate_entropy
- symbol.contrib.count_sketch
- symbol.contrib.ctc_loss
- symbol.contrib.dequantize
- symbol.contrib.dgl_adjacency
- symbol.contrib.dgl_csr_neighbor_non_uniform_sample
- symbol.contrib.dgl_csr_neighbor_uniform_sample
- symbol.contrib.dgl_graph_compact
- symbol.contrib.dgl_subgraph
- symbol.contrib.div_sqrt_dim
- symbol.contrib.edge_id
- symbol.contrib.fft
- symbol.contrib.getnnz
- symbol.contrib.gradientmultiplier
- symbol.contrib.group_adagrad_update
- symbol.contrib.hawkesll
- symbol.contrib.ifft
- symbol.contrib.index_array
- symbol.contrib.index_copy
- symbol.contrib.interleaved_matmul_encdec_qk
- symbol.contrib.interleaved_matmul_encdec_valatt
- symbol.contrib.interleaved_matmul_selfatt_qk
- symbol.contrib.interleaved_matmul_selfatt_valatt
- symbol.contrib.quadratic
- symbol.contrib.quantize
- symbol.contrib.quantize_v2
- symbol.contrib.quantized_act
- symbol.contrib.quantized_batch_norm
- symbol.contrib.quantized_concat
- symbol.contrib.quantized_conv
- symbol.contrib.quantized_elemwise_add
- symbol.contrib.quantized_elemwise_mul
- symbol.contrib.quantized_embedding
- symbol.contrib.quantized_flatten
- symbol.contrib.quantized_fully_connected
- symbol.contrib.quantized_pooling
- symbol.contrib.requantize
- symbol.contrib.round_ste
- symbol.contrib.sign_ste
-
- symbol.image
- symbol.image.adjust_lighting
- symbol.image.crop
- symbol.image.flip_left_right
- symbol.image.flip_top_bottom
- symbol.image.normalize
- symbol.image.random_brightness
- symbol.image.random_color_jitter
- symbol.image.random_contrast
- symbol.image.random_flip_left_right
- symbol.image.random_flip_top_bottom
- symbol.image.random_hue
- symbol.image.random_lighting
- symbol.image.random_saturation
- symbol.image.resize
- symbol.image.to_tensor
-
- symbol.linalg
- symbol.linalg.det
- symbol.linalg.extractdiag
- symbol.linalg.extracttrian
- symbol.linalg.gelqf
- symbol.linalg.gemm
- symbol.linalg.gemm2
- symbol.linalg.inverse
- symbol.linalg.makediag
- symbol.linalg.maketrian
- symbol.linalg.potrf
- symbol.linalg.potri
- symbol.linalg.slogdet
- symbol.linalg.sumlogdiag
- symbol.linalg.syevd
- symbol.linalg.syrk
- symbol.linalg.trmm
- symbol.linalg.trsm
-
- symbol.op
- symbol.op.Activation
- symbol.op.BatchNorm
- symbol.op.BatchNorm_v1
- symbol.op.BilinearSampler
- symbol.op.BlockGrad
- symbol.op.CTCLoss
- symbol.op.Cast
- symbol.op.Concat
- symbol.op.Convolution
- symbol.op.Convolution_v1
- symbol.op.Correlation
- symbol.op.Crop
- symbol.op.Custom
- symbol.op.Deconvolution
- symbol.op.Dropout
- symbol.op.ElementWiseSum
- symbol.op.Embedding
- symbol.op.Flatten
- symbol.op.FullyConnected
- symbol.op.GridGenerator
- symbol.op.GroupNorm
- symbol.op.IdentityAttachKLSparseReg
- symbol.op.InstanceNorm
- symbol.op.L2Normalization
- symbol.op.LRN
- symbol.op.LayerNorm
- symbol.op.LeakyReLU
- symbol.op.LinearRegressionOutput
- symbol.op.LogisticRegressionOutput
- symbol.op.MAERegressionOutput
- symbol.op.MakeLoss
- symbol.op.Pad
- symbol.op.Pooling
- symbol.op.Pooling_v1
- symbol.op.RNN
- symbol.op.ROIPooling
- symbol.op.Reshape
- symbol.op.SVMOutput
- symbol.op.SequenceLast
- symbol.op.SequenceMask
- symbol.op.SequenceReverse
- symbol.op.SliceChannel
- symbol.op.Softmax
- symbol.op.SoftmaxActivation
- symbol.op.SoftmaxOutput
- symbol.op.SpatialTransformer
- symbol.op.SwapAxis
- symbol.op.UpSampling
- symbol.op.abs
- symbol.op.adam_update
- symbol.op.add_n
- symbol.op.all_finite
- symbol.op.amp_cast
- symbol.op.amp_multicast
- symbol.op.arccos
- symbol.op.arccosh
- symbol.op.arcsin
- symbol.op.arcsinh
- symbol.op.arctan
- symbol.op.arctanh
- symbol.op.argmax
- symbol.op.argmax_channel
- symbol.op.argmin
- symbol.op.argsort
- symbol.op.batch_dot
- symbol.op.batch_take
- symbol.op.broadcast_add
- symbol.op.broadcast_axes
- symbol.op.broadcast_axis
- symbol.op.broadcast_div
- symbol.op.broadcast_equal
- symbol.op.broadcast_greater
- symbol.op.broadcast_greater_equal
- symbol.op.broadcast_hypot
- symbol.op.broadcast_lesser
- symbol.op.broadcast_lesser_equal
- symbol.op.broadcast_like
- symbol.op.broadcast_logical_and
- symbol.op.broadcast_logical_or
- symbol.op.broadcast_logical_xor
- symbol.op.broadcast_maximum
- symbol.op.broadcast_minimum
- symbol.op.broadcast_minus
- symbol.op.broadcast_mod
- symbol.op.broadcast_mul
- symbol.op.broadcast_not_equal
- symbol.op.broadcast_plus
- symbol.op.broadcast_power
- symbol.op.broadcast_sub
- symbol.op.broadcast_to
- symbol.op.cast_storage
- symbol.op.cbrt
- symbol.op.ceil
- symbol.op.choose_element_0index
- symbol.op.clip
- symbol.op.col2im
- symbol.op.cos
- symbol.op.cosh
- symbol.op.ctc_loss
- symbol.op.cumsum
- symbol.op.degrees
- symbol.op.depth_to_space
- symbol.op.diag
- symbol.op.dot
- symbol.op.elemwise_add
- symbol.op.elemwise_div
- symbol.op.elemwise_mul
- symbol.op.elemwise_sub
- symbol.op.erf
- symbol.op.erfinv
- symbol.op.exp
- symbol.op.expand_dims
- symbol.op.expm1
- symbol.op.fill_element_0index
- symbol.op.fix
- symbol.op.flip
- symbol.op.floor
- symbol.op.ftml_update
- symbol.op.ftrl_update
- symbol.op.gamma
- symbol.op.gammaln
- symbol.op.gather_nd
- symbol.op.hard_sigmoid
- symbol.op.identity
- symbol.op.im2col
- symbol.op.khatri_rao
- symbol.op.lamb_update_phase1
- symbol.op.lamb_update_phase2
- symbol.op.linalg_det
- symbol.op.linalg_extractdiag
- symbol.op.linalg_extracttrian
- symbol.op.linalg_gelqf
- symbol.op.linalg_gemm
- symbol.op.linalg_gemm2
- symbol.op.linalg_inverse
- symbol.op.linalg_makediag
- symbol.op.linalg_maketrian
- symbol.op.linalg_potrf
- symbol.op.linalg_potri
- symbol.op.linalg_slogdet
- symbol.op.linalg_sumlogdiag
- symbol.op.linalg_syrk
- symbol.op.linalg_trmm
- symbol.op.linalg_trsm
- symbol.op.log
- symbol.op.log10
- symbol.op.log1p
- symbol.op.log2
- symbol.op.log_softmax
- symbol.op.logical_not
- symbol.op.make_loss
- symbol.op.max
- symbol.op.max_axis
- symbol.op.mean
- symbol.op.min
- symbol.op.min_axis
- symbol.op.moments
- symbol.op.mp_lamb_update_phase1
- symbol.op.mp_lamb_update_phase2
- symbol.op.mp_nag_mom_update
- symbol.op.mp_sgd_mom_update
- symbol.op.mp_sgd_update
- symbol.op.multi_all_finite
- symbol.op.multi_lars
- symbol.op.multi_mp_sgd_mom_update
- symbol.op.multi_mp_sgd_update
- symbol.op.multi_sgd_mom_update
- symbol.op.multi_sgd_update
- symbol.op.multi_sum_sq
- symbol.op.nag_mom_update
- symbol.op.nanprod
- symbol.op.nansum
- symbol.op.negative
- symbol.op.norm
- symbol.op.normal
- symbol.op.one_hot
- symbol.op.ones_like
- symbol.op.pick
- symbol.op.preloaded_multi_mp_sgd_mom_update
- symbol.op.preloaded_multi_mp_sgd_update
- symbol.op.preloaded_multi_sgd_mom_update
- symbol.op.preloaded_multi_sgd_update
- symbol.op.prod
- symbol.op.radians
- symbol.op.random_exponential
- symbol.op.random_gamma
- symbol.op.random_generalized_negative_binomial
- symbol.op.random_negative_binomial
- symbol.op.random_normal
- symbol.op.random_pdf_dirichlet
- symbol.op.random_pdf_exponential
- symbol.op.random_pdf_gamma
- symbol.op.random_pdf_generalized_negative_binomial
- symbol.op.random_pdf_negative_binomial
- symbol.op.random_pdf_normal
- symbol.op.random_pdf_poisson
- symbol.op.random_pdf_uniform
- symbol.op.random_poisson
- symbol.op.random_randint
- symbol.op.random_uniform
- symbol.op.ravel_multi_index
- symbol.op.rcbrt
- symbol.op.reciprocal
- symbol.op.relu
- symbol.op.repeat
- symbol.op.reset_arrays
- symbol.op.reshape_like
- symbol.op.reverse
- symbol.op.rint
- symbol.op.rmsprop_update
- symbol.op.rmspropalex_update
- symbol.op.round
- symbol.op.rsqrt
- symbol.op.sample_exponential
- symbol.op.sample_gamma
- symbol.op.sample_generalized_negative_binomial
- symbol.op.sample_multinomial
- symbol.op.sample_negative_binomial
- symbol.op.sample_normal
- symbol.op.sample_poisson
- symbol.op.sample_uniform
- symbol.op.scatter_nd
- symbol.op.sgd_mom_update
- symbol.op.sgd_update
- symbol.op.shape_array
- symbol.op.shuffle
- symbol.op.sigmoid
- symbol.op.sign
- symbol.op.signsgd_update
- symbol.op.signum_update
- symbol.op.sin
- symbol.op.sinh
- symbol.op.size_array
- symbol.op.slice
- symbol.op.slice_axis
- symbol.op.slice_like
- symbol.op.smooth_l1
- symbol.op.softmax_cross_entropy
- symbol.op.softmin
- symbol.op.softsign
- symbol.op.sort
- symbol.op.space_to_depth
- symbol.op.split
- symbol.op.sqrt
- symbol.op.square
- symbol.op.squeeze
- symbol.op.stack
- symbol.op.stop_gradient
- symbol.op.sum
- symbol.op.sum_axis
- symbol.op.swapaxes
- symbol.op.take
- symbol.op.tan
- symbol.op.tanh
- symbol.op.tile
- symbol.op.topk
- symbol.op.transpose
- symbol.op.trunc
- symbol.op.uniform
- symbol.op.unravel_index
- symbol.op.where
- symbol.op.zeros_like
-
- symbol.random
- symbol.random.uniform
- symbol.random.normal
- symbol.random.randn
- symbol.random.poisson
- symbol.random.exponential
- symbol.random.gamma
- symbol.random.multinomial
- symbol.random.negative_binomial
- symbol.random.generalized_negative_binomial
- symbol.random.shuffle
- symbol.random.randint
- symbol.random.exponential_like
- symbol.random.gamma_like
- symbol.random.generalized_negative_binomial_like
- symbol.random.negative_binomial_like
- symbol.random.normal_like
- symbol.random.poisson_like
- symbol.random.uniform_like
- symbol.register
-
- symbol.sparse
- symbol.sparse.ElementWiseSum
- symbol.sparse.Embedding
- symbol.sparse.FullyConnected
- symbol.sparse.LinearRegressionOutput
- symbol.sparse.LogisticRegressionOutput
- symbol.sparse.MAERegressionOutput
- symbol.sparse.abs
- symbol.sparse.adagrad_update
- symbol.sparse.adam_update
- symbol.sparse.add_n
- symbol.sparse.arccos
- symbol.sparse.arccosh
- symbol.sparse.arcsin
- symbol.sparse.arcsinh
- symbol.sparse.arctan
- symbol.sparse.arctanh
- symbol.sparse.broadcast_add
- symbol.sparse.broadcast_div
- symbol.sparse.broadcast_minus
- symbol.sparse.broadcast_mul
- symbol.sparse.broadcast_plus
- symbol.sparse.broadcast_sub
- symbol.sparse.cast_storage
- symbol.sparse.cbrt
- symbol.sparse.ceil
- symbol.sparse.clip
- symbol.sparse.concat
- symbol.sparse.cos
- symbol.sparse.cosh
- symbol.sparse.degrees
- symbol.sparse.dot
- symbol.sparse.elemwise_add
- symbol.sparse.elemwise_div
- symbol.sparse.elemwise_mul
- symbol.sparse.elemwise_sub
- symbol.sparse.exp
- symbol.sparse.expm1
- symbol.sparse.fix
- symbol.sparse.floor
- symbol.sparse.ftrl_update
- symbol.sparse.gamma
- symbol.sparse.gammaln
- symbol.sparse.log
- symbol.sparse.log10
- symbol.sparse.log1p
- symbol.sparse.log2
- symbol.sparse.make_loss
- symbol.sparse.mean
- symbol.sparse.negative
- symbol.sparse.norm
- symbol.sparse.radians
- symbol.sparse.relu
- symbol.sparse.retain
- symbol.sparse.rint
- symbol.sparse.round
- symbol.sparse.rsqrt
- symbol.sparse.sgd_mom_update
- symbol.sparse.sgd_update
- symbol.sparse.sigmoid
- symbol.sparse.sign
- symbol.sparse.sin
- symbol.sparse.sinh
- symbol.sparse.slice
- symbol.sparse.sqrt
- symbol.sparse.square
- symbol.sparse.stop_gradient
- symbol.sparse.sum
- symbol.sparse.tan
- symbol.sparse.tanh
- symbol.sparse.trunc
- symbol.sparse.where
- symbol.sparse.zeros_like
- symbol.Activation
- symbol.BatchNorm
- symbol.BatchNorm_v1
- symbol.BilinearSampler
- symbol.BlockGrad
- symbol.CTCLoss
- symbol.Cast
- symbol.Concat
- symbol.Convolution
- symbol.Convolution_v1
- symbol.Correlation
- symbol.Crop
- symbol.Custom
- symbol.Deconvolution
- symbol.Dropout
- symbol.ElementWiseSum
- symbol.Embedding
- symbol.Flatten
- symbol.FullyConnected
- symbol.GridGenerator
- symbol.GroupNorm
- symbol.IdentityAttachKLSparseReg
- symbol.InstanceNorm
- symbol.L2Normalization
- symbol.LRN
- symbol.LayerNorm
- symbol.LeakyReLU
- symbol.LinearRegressionOutput
- symbol.LogisticRegressionOutput
- symbol.MAERegressionOutput
- symbol.MakeLoss
- symbol.Pad
- symbol.Pooling
- symbol.Pooling_v1
- symbol.RNN
- symbol.ROIPooling
- symbol.Reshape
- symbol.SVMOutput
- symbol.SequenceLast
- symbol.SequenceMask
- symbol.SequenceReverse
- symbol.SliceChannel
- symbol.Softmax
- symbol.SoftmaxActivation
- symbol.SoftmaxOutput
- symbol.SpatialTransformer
- symbol.SwapAxis
- symbol.UpSampling
- symbol.abs
- symbol.adam_update
- symbol.add_n
- symbol.all_finite
- symbol.amp_cast
- symbol.amp_multicast
- symbol.arccos
- symbol.arccosh
- symbol.arcsin
- symbol.arcsinh
- symbol.arctan
- symbol.arctanh
- symbol.argmax
- symbol.argmax_channel
- symbol.argmin
- symbol.argsort
- symbol.batch_dot
- symbol.batch_take
- symbol.broadcast_add
- symbol.broadcast_axes
- symbol.broadcast_axis
- symbol.broadcast_div
- symbol.broadcast_equal
- symbol.broadcast_greater
- symbol.broadcast_greater_equal
- symbol.broadcast_hypot
- symbol.broadcast_lesser
- symbol.broadcast_lesser_equal
- symbol.broadcast_like
- symbol.broadcast_logical_and
- symbol.broadcast_logical_or
- symbol.broadcast_logical_xor
- symbol.broadcast_maximum
- symbol.broadcast_minimum
- symbol.broadcast_minus
- symbol.broadcast_mod
- symbol.broadcast_mul
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- mxnet.attribute
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mxnet / mxnet.recordio
mxnet.recordio¶
Read and write for the RecordIO data format.
Classes
An alias for HEADER. |
|
|
Reads/writes RecordIO data format, supporting random access. |
|
Reads/writes RecordIO data format, supporting sequential read and write. |
Functions
|
Pack a string into MXImageRecord. |
|
Pack an image into |
|
Unpack a MXImageRecord to string. |
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Unpack a MXImageRecord to image. |
-
mxnet.recordio.
IRHeader
¶ An alias for HEADER. Used to store metadata (e.g. labels) accompanying a record. See mxnet.recordio.pack and mxnet.recordio.pack_img for example uses.
- Parameters
flag (int) – Available for convenience, can be set arbitrarily.
label (float or an array of float) – Typically used to store label(s) for a record.
id (int) – Usually a unique id representing record.
id2 (int) – Higher order bits of the unique id, should be set to 0 (in most cases).
Attributes
flag
Alias for field number 0
id
Alias for field number 2
id2
Alias for field number 3
label
Alias for field number 1
alias of
mxnet.recordio.HEADER
-
class
mxnet.recordio.
MXIndexedRecordIO
(idx_path, uri, flag, key_type=<class 'int'>)[source]¶ Bases:
mxnet.recordio.MXRecordIO
Reads/writes RecordIO data format, supporting random access.
Examples
Methods
close
()Closes the record file.
open
()Opens the record file.
read_idx
(idx)Returns the record at given index.
seek
(idx)Sets the current read pointer position.
tell
()Returns the current position of write head.
write_idx
(idx, buf)Inserts input record at given index.
>>> for i in range(5): ... record.write_idx(i, 'record_%d'%i) >>> record.close() >>> record = mx.recordio.MXIndexedRecordIO('tmp.idx', 'tmp.rec', 'r') >>> record.read_idx(3) record_3
- Parameters
idx_path (str) – Path to the index file.
uri (str) – Path to the record file. Only supports seekable file types.
flag (str) – ‘w’ for write or ‘r’ for read.
key_type (type) – Data type for keys.
-
read_idx
(idx)[source]¶ Returns the record at given index.
Examples
>>> record = mx.recordio.MXIndexedRecordIO('tmp.idx', 'tmp.rec', 'w') >>> for i in range(5): ... record.write_idx(i, 'record_%d'%i) >>> record.close() >>> record = mx.recordio.MXIndexedRecordIO('tmp.idx', 'tmp.rec', 'r') >>> record.read_idx(3) record_3
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seek
(idx)[source]¶ Sets the current read pointer position.
This function is internally called by read_idx(idx) to find the current reader pointer position. It doesn’t return anything.
-
class
mxnet.recordio.
MXRecordIO
(uri, flag)[source]¶ Bases:
object
Reads/writes RecordIO data format, supporting sequential read and write.
Examples
Methods
close
()Closes the record file.
open
()Opens the record file.
read
()Returns record as a string.
reset
()Resets the pointer to first item.
write
(buf)Inserts a string buffer as a record.
>>> record = mx.recordio.MXRecordIO('tmp.rec', 'w') <mxnet.recordio.MXRecordIO object at 0x10ef40ed0> >>> for i in range(5): ... record.write('record_%d'%i) >>> record.close() >>> record = mx.recordio.MXRecordIO('tmp.rec', 'r') >>> for i in range(5): ... item = record.read() ... print(item) record_0 record_1 record_2 record_3 record_4 >>> record.close()
- Parameters
uri (string) – Path to the record file.
flag (string) – ‘w’ for write or ‘r’ for read.
-
read
()[source]¶ Returns record as a string.
Examples
>>> record = mx.recordio.MXRecordIO('tmp.rec', 'r') >>> for i in range(5): ... item = record.read() ... print(item) record_0 record_1 record_2 record_3 record_4 >>> record.close()
- Returns
buf – Buffer read.
- Return type
string
-
reset
()[source]¶ Resets the pointer to first item.
If the record is opened with ‘w’, this function will truncate the file to empty.
Examples
>>> record = mx.recordio.MXRecordIO('tmp.rec', 'r') >>> for i in range(2): ... item = record.read() ... print(item) record_0 record_1 >>> record.reset() # Pointer is reset. >>> print(record.read()) # Started reading from start again. record_0 >>> record.close()
-
mxnet.recordio.
pack
(header, s)[source]¶ Pack a string into MXImageRecord.
- Parameters
header (IRHeader) – Header of the image record.
header.label
can be a number or an array. See more detail inIRHeader
.s (str) – Raw image string to be packed.
- Returns
s – The packed string.
- Return type
str
Examples
>>> label = 4 # label can also be a 1-D array, for example: label = [1,2,3] >>> id = 2574 >>> header = mx.recordio.IRHeader(0, label, id, 0) >>> with open(path, 'r') as file: ... s = file.read() >>> packed_s = mx.recordio.pack(header, s)
-
mxnet.recordio.
pack_img
(header, img, quality=95, img_fmt='.jpg')[source]¶ Pack an image into
MXImageRecord
.- Parameters
header (IRHeader) – Header of the image record.
header.label
can be a number or an array. See more detail inIRHeader
.img (numpy.ndarray) – Image to be packed.
quality (int) – Quality for JPEG encoding in range 1-100, or compression for PNG encoding in range 1-9.
img_fmt (str) – Encoding of the image (.jpg for JPEG, .png for PNG).
- Returns
s – The packed string.
- Return type
str
Examples
>>> label = 4 # label can also be a 1-D array, for example: label = [1,2,3] >>> id = 2574 >>> header = mx.recordio.IRHeader(0, label, id, 0) >>> img = cv2.imread('test.jpg') >>> packed_s = mx.recordio.pack_img(header, img)
-
mxnet.recordio.
unpack
(s)[source]¶ Unpack a MXImageRecord to string.
- Parameters
s (str) – String buffer from
MXRecordIO.read
.- Returns
header (IRHeader) – Header of the image record.
s (str) – Unpacked string.
Examples
>>> record = mx.recordio.MXRecordIO('test.rec', 'r') >>> item = record.read() >>> header, s = mx.recordio.unpack(item) >>> header HEADER(flag=0, label=14.0, id=20129312, id2=0)
-
mxnet.recordio.
unpack_img
(s, iscolor=-1)[source]¶ Unpack a MXImageRecord to image.
- Parameters
s (str) – String buffer from
MXRecordIO.read
.iscolor (int) – Image format option for
cv2.imdecode
.
- Returns
header (IRHeader) – Header of the image record.
img (numpy.ndarray) – Unpacked image.
Examples
>>> record = mx.recordio.MXRecordIO('test.rec', 'r') >>> item = record.read() >>> header, img = mx.recordio.unpack_img(item) >>> header HEADER(flag=0, label=14.0, id=20129312, id2=0) >>> img array([[[ 23, 27, 45], [ 28, 32, 50], ..., [ 36, 40, 59], [ 35, 39, 58]], ..., [[ 91, 92, 113], [ 97, 98, 119], ..., [168, 169, 167], [166, 167, 165]]], dtype=uint8)
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