All modules for which code is available
- mindspore.boost.adasum
- mindspore.boost.base
- mindspore.boost.boost
- mindspore.boost.boost_cell_wrapper
- mindspore.boost.grad_accumulation
- mindspore.boost.grad_freeze
- mindspore.boost.less_batch_normalization
- mindspore.common.api
- mindspore.common.dtype
- mindspore.common.initializer
- mindspore.common.parameter
- mindspore.common.seed
- mindspore.common.tensor
- mindspore.communication._comm_helper
- mindspore.communication.management
- mindspore.compression.common.constant
- mindspore.compression.quant.qat
- mindspore.compression.quant.quant_utils
- mindspore.compression.quant.quantizer
- mindspore.context
- mindspore.dataset.audio.transforms
- mindspore.dataset.audio.utils
- mindspore.dataset.callback.ds_callback
- mindspore.dataset.engine.cache_client
- mindspore.dataset.engine.datasets
- mindspore.dataset.engine.graphdata
- mindspore.dataset.engine.samplers
- mindspore.dataset.engine.serializer_deserializer
- mindspore.dataset.text.transforms
- mindspore.dataset.text.utils
- mindspore.dataset.transforms.c_transforms
- mindspore.dataset.transforms.py_transforms
- mindspore.dataset.utils.browse_dataset
- mindspore.dataset.vision.c_transforms
- mindspore.dataset.vision.py_transforms
- mindspore.dataset.vision.utils
- mindspore.log
- mindspore.mindrecord.filereader
- mindspore.mindrecord.filewriter
- mindspore.mindrecord.mindpage
- mindspore.mindrecord.tools.cifar100_to_mr
- mindspore.mindrecord.tools.cifar10_to_mr
- mindspore.mindrecord.tools.csv_to_mr
- mindspore.mindrecord.tools.imagenet_to_mr
- mindspore.mindrecord.tools.mnist_to_mr
- mindspore.mindrecord.tools.tfrecord_to_mr
- mindspore.nn.cell
- mindspore.nn.dynamic_lr
- mindspore.nn.grad.cell_grad
- mindspore.nn.layer.activation
- mindspore.nn.layer.basic
- mindspore.nn.layer.combined
- mindspore.nn.layer.container
- mindspore.nn.layer.conv
- mindspore.nn.layer.embedding
- mindspore.nn.layer.image
- mindspore.nn.layer.lstm
- mindspore.nn.layer.math
- mindspore.nn.layer.normalization
- mindspore.nn.layer.pooling
- mindspore.nn.layer.quant
- mindspore.nn.layer.rnns
- mindspore.nn.layer.timedistributed
- mindspore.nn.learning_rate_schedule
- mindspore.nn.loss.loss
- mindspore.nn.metrics
- mindspore.nn.metrics.accuracy
- mindspore.nn.metrics.auc
- mindspore.nn.metrics.bleu_score
- mindspore.nn.metrics.confusion_matrix
- mindspore.nn.metrics.cosine_similarity
- mindspore.nn.metrics.dice
- mindspore.nn.metrics.error
- mindspore.nn.metrics.fbeta
- mindspore.nn.metrics.hausdorff_distance
- mindspore.nn.metrics.loss
- mindspore.nn.metrics.mean_surface_distance
- mindspore.nn.metrics.metric
- mindspore.nn.metrics.occlusion_sensitivity
- mindspore.nn.metrics.perplexity
- mindspore.nn.metrics.precision
- mindspore.nn.metrics.recall
- mindspore.nn.metrics.roc
- mindspore.nn.metrics.root_mean_square_surface_distance
- mindspore.nn.metrics.topk
- mindspore.nn.optim.ada_grad
- mindspore.nn.optim.adam
- mindspore.nn.optim.ftrl
- mindspore.nn.optim.lamb
- mindspore.nn.optim.lars
- mindspore.nn.optim.lazyadam
- mindspore.nn.optim.momentum
- mindspore.nn.optim.optimizer
- mindspore.nn.optim.proximal_ada_grad
- mindspore.nn.optim.rmsprop
- mindspore.nn.optim.sgd
- mindspore.nn.optim.thor
- mindspore.nn.probability.bijector.bijector
- mindspore.nn.probability.bijector.exp
- mindspore.nn.probability.bijector.gumbel_cdf
- mindspore.nn.probability.bijector.invert
- mindspore.nn.probability.bijector.power_transform
- mindspore.nn.probability.bijector.scalar_affine
- mindspore.nn.probability.bijector.softplus
- mindspore.nn.probability.distribution.bernoulli
- mindspore.nn.probability.distribution.beta
- mindspore.nn.probability.distribution.categorical
- mindspore.nn.probability.distribution.cauchy
- mindspore.nn.probability.distribution.distribution
- mindspore.nn.probability.distribution.exponential
- mindspore.nn.probability.distribution.gamma
- mindspore.nn.probability.distribution.geometric
- mindspore.nn.probability.distribution.gumbel
- mindspore.nn.probability.distribution.log_normal
- mindspore.nn.probability.distribution.logistic
- mindspore.nn.probability.distribution.normal
- mindspore.nn.probability.distribution.poisson
- mindspore.nn.probability.distribution.transformed_distribution
- mindspore.nn.probability.distribution.uniform
- mindspore.nn.sparse.sparse
- mindspore.nn.wrap.cell_wrapper
- mindspore.nn.wrap.grad_reducer
- mindspore.nn.wrap.loss_scale
- mindspore.numpy.array_creations
- mindspore.numpy.array_ops
- mindspore.numpy.logic_ops
- mindspore.numpy.math_ops
- mindspore.ops.composite.array_ops
- mindspore.ops.composite.base
- mindspore.ops.composite.clip_ops
- mindspore.ops.composite.math_ops
- mindspore.ops.composite.random_ops
- mindspore.ops.op_info_register
- mindspore.ops.operations.array_ops
- mindspore.ops.operations.comm_ops
- mindspore.ops.operations.debug_ops
- mindspore.ops.operations.image_ops
- mindspore.ops.operations.inner_ops
- mindspore.ops.operations.math_ops
- mindspore.ops.operations.nn_ops
- mindspore.ops.operations.other_ops
- mindspore.ops.operations.random_ops
- mindspore.ops.operations.sparse_ops
- mindspore.ops.primitive
- mindspore.ops.vm_impl_registry
- mindspore.parallel.algo_parameter_config
- mindspore.parallel.nn.layers
- mindspore.parallel.nn.loss
- mindspore.parallel.nn.moe
- mindspore.parallel.nn.op_parallel_config
- mindspore.parallel.nn.transformer
- mindspore.profiler.profiling
- mindspore.run_check.run_check
- mindspore.train.amp
- mindspore.train.callback._callback
- mindspore.train.callback._checkpoint
- mindspore.train.callback._loss_monitor
- mindspore.train.callback._lr_scheduler_callback
- mindspore.train.callback._summary_collector
- mindspore.train.callback._time_monitor
- mindspore.train.dataset_helper
- mindspore.train.loss_scale_manager
- mindspore.train.model
- mindspore.train.serialization
- mindspore.train.summary.summary_record
- mindspore.train.train_thor.convert_utils