tensorplay

Tensors

`tensorplay.is_tensor`	Returns True if obj is a TensorPlay tensor.
`tensorplay.functional.is_complex`
`tensorplay._composite_funcs.is_conj`
`tensorplay._composite_funcs.is_neg`
`tensorplay._composite_funcs.is_nonzero`
`tensorplay._composite_funcs.is_same_size`
`tensorplay.set_default_dtype`	Sets the default floating point dtype to `d`.
`tensorplay.get_default_dtype`	Returns the current default floating point dtype (float32 initially, changed by `set_default_dtype()`).
`tensorplay.set_default_device`	Sets the default `tensorplay.Tensor` to be allocated on `device`.
`tensorplay.get_default_device`	Gets the default `tensorplay.Tensor` to be allocated on `device`
`tensorplay._composite_funcs.numel`
`tensorplay.set_printoptions`	Set print options

Indexing, Slicing, Joining, Mutating Ops

`tensorplay._composite_funcs.adjoint`
`tensorplay._composite_funcs.alias_copy`
`tensorplay.functional.argwhere`
`tensorplay.functional.cat`
`tensorplay._composite_funcs.concat`
`tensorplay._composite_funcs.concatenate`
`tensorplay.functional.conj`
`tensorplay.functional.chunk`
`tensorplay._composite_funcs.detach`
`tensorplay._composite_funcs.diagonal_copy`
`tensorplay.functional.dsplit`
`tensorplay.functional.column_stack`
`tensorplay.functional.dstack`
`tensorplay._composite_funcs.expand_copy`
`tensorplay.functional.fill`
`tensorplay.functional.gather`
`tensorplay.functional.hsplit`
`tensorplay.functional.hstack`
`tensorplay.functional.index_add`
`tensorplay.functional.index_copy`
`tensorplay.functional.index_put_`
`tensorplay.functional.index_select`
`tensorplay.functional.masked_fill`
`tensorplay.functional.masked_select`
`tensorplay.functional.movedim`
`tensorplay.functional.moveaxis`
`tensorplay.functional.narrow`
`tensorplay._composite_funcs.narrow_copy`
`tensorplay.functional.nonzero`
`tensorplay.functional.permute`
`tensorplay._composite_funcs.permute_copy`
`tensorplay._composite_funcs.put`
`tensorplay.functional.reshape`
`tensorplay.functional.row_stack`
`tensorplay.functional.select`
`tensorplay._composite_funcs.select_copy`
`tensorplay.functional.scatter`
`tensorplay.functional.diagonal_scatter`
`tensorplay.functional.select_scatter`
`tensorplay._composite_funcs.slice_copy`
`tensorplay.functional.slice_scatter`
`tensorplay.functional.scatter_add`
`tensorplay.functional.split`
`tensorplay._composite_funcs.split_copy`
`tensorplay.functional.squeeze`
`tensorplay._composite_funcs.squeeze_copy`
`tensorplay.functional.stack`
`tensorplay.functional.swapaxes`
`tensorplay.functional.swapdims`
`tensorplay.functional.t`
`tensorplay._composite_funcs.t_copy`
`tensorplay.functional.take`
`tensorplay.functional.take_along_dim`
`tensorplay.functional.tensor_split`
`tensorplay.functional.tile`
`tensorplay.functional.transpose`
`tensorplay._composite_funcs.transpose_copy`
`tensorplay.functional.unbind`
`tensorplay._composite_funcs.unbind_copy`
`tensorplay._composite_funcs.unfold_copy`
`tensorplay._shape_funcs.unravel_index`	Converts flat indices into coordinate tuples (one LongTensor per dim).
`tensorplay.functional.unsqueeze`
`tensorplay._composite_funcs.unsqueeze_copy`
`tensorplay._composite_funcs.view_copy`
`tensorplay.functional.vsplit`
`tensorplay.functional.vstack`
`tensorplay.functional.where`

Generators

tensorplay.Generator

Random sampling

`tensorplay.seed`
`tensorplay.manual_seed`
`tensorplay.initial_seed`
`tensorplay.get_rng_state`
`tensorplay.set_rng_state`
`tensorplay.functional.bernoulli`
`tensorplay.functional.multinomial`
`tensorplay.functional.normal`
`tensorplay.functional.poisson`
`tensorplay.functional.rand`
`tensorplay.functional.rand_like`
`tensorplay.functional.randint`
`tensorplay.functional.randint_like`
`tensorplay.functional.randn`
`tensorplay.functional.randn_like`
`tensorplay.functional.randperm`

Serialization

`tensorplay.serialization.save`	Save `obj` to disk.
`tensorplay.serialization.load`	Load a checkpoint saved by `tp.save` or `torch.save`.

Parallelism

`tensorplay.get_num_threads`	Returns the number of threads used for parallelizing CPU operations
`tensorplay.set_num_threads`	Sets the number of threads used for intraop parallelism on CPU.

Locally disabling gradient computation

`tensorplay.autograd.grad_mode.no_grad`	Context-manager that disables gradient calculation.
`tensorplay.autograd.grad_mode.enable_grad`	Context-manager that enables gradient calculation.
`tensorplay.autograd.grad_mode.set_grad_enabled`	Context-manager that sets gradient calculation on or off.
`tensorplay.autograd.grad_mode.is_grad_enabled`
`tensorplay.autograd.grad_mode.inference_mode`	Context manager that enables or disables inference mode.

Pointwise Ops

`tensorplay.functional.abs`
`tensorplay.functional.abs_`
`tensorplay._composite_funcs.absolute`	Alias of `abs()`.
`tensorplay.functional.acos`
`tensorplay._composite_funcs.acos_`
`tensorplay._composite_funcs.arccos`
`tensorplay.functional.acosh`
`tensorplay._composite_funcs.acosh_`
`tensorplay._composite_funcs.arccosh`
`tensorplay.functional.add`
`tensorplay.functional.addcdiv`
`tensorplay.functional.addcmul`
`tensorplay.functional.angle`
`tensorplay.functional.asin`
`tensorplay._composite_funcs.asin_`
`tensorplay._composite_funcs.arcsin`
`tensorplay.functional.asinh`
`tensorplay._composite_funcs.asinh_`
`tensorplay._composite_funcs.arcsinh`
`tensorplay.functional.atan`
`tensorplay._composite_funcs.atan_`
`tensorplay._composite_funcs.arctan`
`tensorplay.functional.atanh`
`tensorplay._composite_funcs.atanh_`
`tensorplay._composite_funcs.arctanh`
`tensorplay.functional.atan2`
`tensorplay._composite_funcs.arctan2`	atan2(y, x) = 2*atan(y / (hypot + x)); native atan2 CPU kernel is currently unregistered in this tree, so compose.
`tensorplay.functional.bitwise_not`
`tensorplay.functional.bitwise_and`
`tensorplay.functional.bitwise_or`
`tensorplay.functional.bitwise_xor`
`tensorplay.functional.bitwise_left_shift`
`tensorplay.functional.bitwise_right_shift`
`tensorplay.functional.ceil`
`tensorplay.functional.clamp`
`tensorplay.functional.clamp_`
`tensorplay.functional.clip`
`tensorplay._composite_funcs.copysign`
`tensorplay.functional.cos`
`tensorplay.functional.cosh`
`tensorplay.functional.deg2rad`
`tensorplay.functional.div`
`tensorplay._composite_funcs.divide`
`tensorplay.functional.digamma`
`tensorplay.functional.erf`
`tensorplay.functional.erfc`
`tensorplay.functional.erfinv`
`tensorplay.functional.exp`
`tensorplay.functional.exp2`
`tensorplay.functional.expm1`
`tensorplay.functional.fill_`
`tensorplay.functional.fix`
`tensorplay.functional.floor`
`tensorplay._composite_funcs.floor_divide`
`tensorplay._composite_funcs.fmod`
`tensorplay.functional.frac`
`tensorplay._composite_funcs.gradient`
`tensorplay.functional.imag`
`tensorplay.functional.lerp`
`tensorplay.functional.lgamma`
`tensorplay.functional.log`
`tensorplay.functional.log10`
`tensorplay.functional.log1p`
`tensorplay.functional.log2`
`tensorplay.functional.logaddexp`
`tensorplay.functional.logaddexp2`
`tensorplay.functional.logical_and`
`tensorplay.functional.logical_not`
`tensorplay.functional.logical_or`
`tensorplay.functional.logical_xor`
`tensorplay.functional.logit`
`tensorplay.functional.hypot`
`tensorplay.functional.i0`
`tensorplay.functional.mul`
`tensorplay._composite_funcs.multiply`
`tensorplay.functional.nan_to_num`
`tensorplay.functional.neg`
`tensorplay.functional.neg_`
`tensorplay.functional.negative`
`tensorplay.functional.nextafter`
`tensorplay.functional.polygamma`
`tensorplay.functional.positive`
`tensorplay.functional.pow`
`tensorplay.functional.rad2deg`
`tensorplay.functional.real`
`tensorplay.functional.reciprocal`
`tensorplay._composite_funcs.remainder`
`tensorplay.functional.round`
`tensorplay.functional.rsqrt`
`tensorplay.functional.rsqrt_`
`tensorplay.functional.sigmoid`
`tensorplay.functional.sign`
`tensorplay.functional.sgn`
`tensorplay.functional.signbit`
`tensorplay.functional.sin`
`tensorplay.functional.sinc`
`tensorplay.functional.sinh`
`tensorplay.functional.softmax`
`tensorplay.functional.sqrt`
`tensorplay.functional.sqrt_`
`tensorplay.functional.square`
`tensorplay.functional.sub`
`tensorplay._composite_funcs.subtract`
`tensorplay.functional.tan`
`tensorplay.functional.tanh`
`tensorplay._composite_funcs.true_divide`
`tensorplay.functional.trunc`
`tensorplay.functional.zero_`

Reduction Ops

`tensorplay.functional.argmax`
`tensorplay.functional.argmin`
`tensorplay.functional.amax`
`tensorplay.functional.amin`
`tensorplay.functional.aminmax`
`tensorplay.functional.all`
`tensorplay.functional.any`
`tensorplay.functional.max`
`tensorplay.functional.min`
`tensorplay.functional.dist`
`tensorplay.functional.logsumexp`
`tensorplay.functional.mean`
`tensorplay.functional.nanmean`
`tensorplay.functional.median`
`tensorplay.functional.nanmedian`
`tensorplay.functional.mode`
`tensorplay.functional.norm`
`tensorplay.functional.nansum`
`tensorplay.functional.prod`
`tensorplay._composite_funcs.quantile`
`tensorplay._composite_funcs.nanquantile`
`tensorplay.functional.std`
`tensorplay.functional.std_mean`
`tensorplay.functional.sum`
`tensorplay.functional.unique`
`tensorplay._composite_funcs.unique_consecutive`
`tensorplay.functional.var`
`tensorplay.functional.var_mean`
`tensorplay.functional.count_nonzero`

Comparison Ops

`tensorplay.functional.allclose`
`tensorplay.functional.argsort`
`tensorplay.functional.eq`
`tensorplay.functional.equal`
`tensorplay.functional.ge`
`tensorplay.functional.greater_equal`
`tensorplay.functional.gt`
`tensorplay.functional.greater`
`tensorplay.functional.isclose`
`tensorplay.functional.isfinite`
`tensorplay._composite_funcs.isin`
`tensorplay.functional.isinf`
`tensorplay.functional.isposinf`
`tensorplay.functional.isneginf`
`tensorplay.functional.isnan`
`tensorplay.functional.isreal`
`tensorplay.functional.kthvalue`
`tensorplay.functional.le`
`tensorplay.functional.less_equal`
`tensorplay.functional.lt`
`tensorplay.functional.less`
`tensorplay.functional.maximum`
`tensorplay.functional.minimum`
`tensorplay.functional.ne`
`tensorplay.functional.not_equal`
`tensorplay.functional.sort`
`tensorplay.functional.topk`
`tensorplay.functional.msort`

Spectral Ops

`tensorplay.functional.stft`
`tensorplay.functional.istft`
`tensorplay.functional.bartlett_window`
`tensorplay.functional.blackman_window`
`tensorplay.functional.hamming_window`
`tensorplay.functional.hann_window`
`tensorplay._composite_funcs.kaiser_window`

Other Operations

`tensorplay._composite_funcs.adaptive_avg_pool1d`
`tensorplay._composite_funcs.adaptive_max_pool1d`
`tensorplay.functional.atleast_1d`
`tensorplay.functional.atleast_2d`
`tensorplay.functional.atleast_3d`
`tensorplay._composite_funcs.avg_pool1d`
`tensorplay.functional.bincount`
`tensorplay.functional.block_diag`
`tensorplay.functional.broadcast_tensors`
`tensorplay.functional.broadcast_to`
`tensorplay._shape_funcs.broadcast_shapes`	Returns the broadcast shape of the given shapes (right-aligned).
`tensorplay.functional.bucketize`
`tensorplay._composite_funcs.cartesian_prod`
`tensorplay.functional.channel_shuffle`
`tensorplay.functional.clone`
`tensorplay._composite_funcs.combinations`
`tensorplay.functional.conv1d`
`tensorplay.functional.conv3d`
`tensorplay.functional.conv_transpose1d`
`tensorplay.functional.conv_transpose2d`
`tensorplay.functional.conv_transpose3d`
`tensorplay._composite_funcs.corrcoef`
`tensorplay.functional.cosine_embedding_loss`
`tensorplay._composite_funcs.cosine_similarity`
`tensorplay._composite_funcs.cov`	Each row of `input` is a variable, each column an observation (torch semantics; no `rowvar` argument).
`tensorplay.functional.cummax`
`tensorplay.functional.cummin`
`tensorplay.functional.cumprod`
`tensorplay.functional.cumsum`
`tensorplay.functional.diag`
`tensorplay.functional.diag_embed`
`tensorplay._composite_funcs.diagflat`
`tensorplay.functional.diagonal`
`tensorplay.functional.diff`
`tensorplay.functional.einsum`
`tensorplay.functional.embedding`
`tensorplay.functional.flatten`
`tensorplay.functional.flip`
`tensorplay.functional.gcd`
`tensorplay.functional.group_norm`
`tensorplay.functional.gru`
`tensorplay.functional.hardshrink`
`tensorplay.functional.hinge_embedding_loss`
`tensorplay._composite_funcs.histc`
`tensorplay._composite_funcs.histogram`
`tensorplay.functional.instance_norm`
`tensorplay.functional.kl_div`
`tensorplay._composite_funcs.kron`
`tensorplay.functional.lcm`
`tensorplay.functional.logcumsumexp`
`tensorplay.functional.lstm`
`tensorplay._composite_funcs.lstm_cell`
`tensorplay.functional.margin_ranking_loss`
`tensorplay._composite_funcs.max_pool1d`
`tensorplay.functional.meshgrid`
`tensorplay.functional.pairwise_distance`
`tensorplay.functional.pdist`
`tensorplay.functional.pixel_unshuffle`
`tensorplay.functional.poisson_nll_loss`
`tensorplay.functional.prelu`
`tensorplay.functional.ravel`
`tensorplay.functional.relu_`
`tensorplay.functional.renorm`
`tensorplay._composite_funcs.repeat_interleave`
`tensorplay._composite_funcs.rms_norm`
`tensorplay.functional.rnn_relu`
`tensorplay._composite_funcs.rnn_relu_cell`
`tensorplay.functional.rnn_tanh`
`tensorplay._composite_funcs.rnn_tanh_cell`
`tensorplay.functional.roll`
`tensorplay.functional.rot90`
`tensorplay._composite_funcs.rsub`
`tensorplay.functional.searchsorted`
`tensorplay.functional.selu`
`tensorplay._shape_funcs.tensordot`	Contracts `input` and `other` over the given dimensions.
`tensorplay.functional.threshold`
`tensorplay.functional.trace`
`tensorplay.functional.tril`
`tensorplay._composite_funcs.tril_indices`
`tensorplay.functional.triu`
`tensorplay._composite_funcs.triu_indices`
`tensorplay.functional.triplet_margin_loss`
`tensorplay.functional.unflatten`
`tensorplay._composite_funcs.vander`
`tensorplay.functional.view_as_real`
`tensorplay.functional.view_as_complex`
`tensorplay._composite_funcs.resolve_conj`
`tensorplay._composite_funcs.resolve_neg`

Utilities

`tensorplay.autocast_decrement_nesting`
`tensorplay.autocast_increment_nesting`
`tensorplay.clear_autocast_cache`
`tensorplay.amp.autocast_mode.get_autocast_cpu_dtype`	Return the dtype to be used for CPU autocasting.
`tensorplay.get_autocast_dtype`
`tensorplay.amp.autocast_mode.get_autocast_gpu_dtype`	Return the dtype to be used for CUDA autocasting.
`tensorplay._composite_funcs.get_device`
`tensorplay.is_autocast_cache_enabled`
`tensorplay.is_autocast_enabled`
`tensorplay._composite_funcs.result_type`
`tensorplay._composite_funcs.can_cast`
`tensorplay._composite_funcs.promote_types`
`tensorplay.set_autocast_cache_enabled`
`tensorplay.set_autocast_dtype`
`tensorplay.set_autocast_enabled`
`tensorplay.use_deterministic_algorithms`	Sets whether TensorPlay operations must use "deterministic" algorithms.
`tensorplay.are_deterministic_algorithms_enabled`	Returns True if the global deterministic flag is turned on.
`tensorplay.is_deterministic_algorithms_warn_only_enabled`	Returns True if the global deterministic flag is set to warn only.
`tensorplay.set_deterministic_debug_mode`	Sets the debug mode for deterministic operations.
`tensorplay.get_deterministic_debug_mode`	Returns the current value of the debug mode for deterministic operations.
`tensorplay.set_float32_matmul_precision`	Sets the internal precision of float32 matrix multiplications.
`tensorplay.get_float32_matmul_precision`	Returns the current value of float32 matrix multiplication precision.
`tensorplay.typename`	String representation of the type of an object.

Optimizations

tensorplay.compiler.api.compile

Compile a callable through the TensorPlay compiler frontend.

TensorPlay-specific additions

`DType`	Members:
`Device`
`DeviceType`	Members:
`GradScaler`	An instance `scaler` of `GradScaler`.
`Layout`	Sparse/dense storage layout tags (mirrors torch.layout loosely).
`MemoryFormat`	Tensor memory layout, mirroring torch.MemoryFormat.
`Scalar`
`Size`
`Tensor`	alias of `TensorBase`
`adaptive_avg_pool2d`
`adaptive_avg_pool3d`
`adaptive_max_pool2d`
`add_`
`add_relu`
`addcdiv_`
`addcmul_`
`airy_ai`
`autocast`	Instances of `autocast` serve as context managers or decorators that allow regions of your script to run in mixed precision.
`avg_pool2d`
`avg_pool3d`
`batch_norm`
`bernoulli_`
`bessel_j0`
`bessel_j1`
`bessel_y0`
`bessel_y1`
`binary_cross_entropy`
`binary_cross_entropy_with_logits`
`cauchy_`
`celu`
`chebyshev_polynomial_t`
`chebyshev_polynomial_u`
`chebyshev_polynomial_v`
`chebyshev_polynomial_w`
`cholesky`
`circular_pad_nd`
`clamp_max`
`clamp_min`
`col2im`
`constant_pad_nd`
`contiguous`
`conv1d_grad_bias`
`conv1d_grad_input`
`conv1d_grad_weight`
`conv2d`
`conv2d_grad_bias`
`conv2d_grad_input`
`conv2d_grad_weight`
`conv2d_relu`
`conv3d_grad_bias`
`conv3d_grad_input`
`conv3d_grad_weight`
`conv_transpose1d_grad_bias`
`conv_transpose1d_grad_input`
`conv_transpose1d_grad_weight`
`conv_transpose2d_grad_bias`
`conv_transpose2d_grad_input`
`conv_transpose2d_grad_weight`
`conv_transpose3d_grad_bias`
`conv_transpose3d_grad_input`
`conv_transpose3d_grad_weight`
`copy_`
`custom_bwd`	Create a helper decorator for backward methods of custom autograd functions.
`custom_fwd`	Create a helper decorator for `forward` methods of custom autograd functions.
`dequantize_per_channel`
`dequantize_per_tensor`
`device`	alias of `Device`
`div_`
`dtype`	alias of `DType`
`elu`
`expand`
`expand_as`
`exponential_`
`fft_fft`
`fft_ifft`
`fft_irfft`
`fft_rfft`
`fork_rng`	Forks the RNG state: code inside the context gets a pristine RNG.
`forward_add`
`forward_cos`
`forward_div`
`forward_exp`
`forward_log`
`forward_mm`
`forward_mul`
`forward_neg`
`forward_pow`
`forward_relu`
`forward_sigmoid`
`forward_sin`
`forward_sqrt`
`forward_sub`
`forward_tanh`
`fused_mul_add`
`gammainc`
`gammaincc`
`gelu`
`geometric_`
`get_parallel_info`	Returns a detailed string describing parallelization settings
`get_thread_num`	Returns the current thread number (starting from 0) in the current parallel region, or 0 in the sequential region
`glu`
`hardsigmoid`
`hardswish`
`hardtanh`
`hermite_polynomial_h`
`hermite_polynomial_he`
`huber_loss`
`i0e`
`i1`
`i1e`
`im2col`
`in_parallel_region`	Checks whether the code runs in a parallel region
`index_fill`
`index_fill_`
`index_put`
`inner_backward_other`
`inner_backward_self`
`inspect_checkpoint`	Summarize a checkpoint without loading tensor payloads.
`item`
`l1_loss`
`laguerre_polynomial_l`
`layer_norm`
`leaky_relu`
`legendre_polynomial_p`
`lerp_`
`log_normal_`
`log_softmax`
`masked_fill_`
`masked_scatter`
`matmul_backward_other`
`matmul_backward_self`
`max_pool2d`
`mish`
`modified_bessel_i1`
`modified_bessel_k0`
`modified_bessel_k1`
`mse_loss`
`mul_`
`multi_margin_loss`
`multilabel_margin_loss`
`multilabel_soft_margin_loss`
`native_dropout`
`nll_loss`
`normal_`
`one_hot`
`pixel_shuffle`
`quantized_linear`
`random_`
`reflection_pad_nd`
`relu`
`relu6`
`repeat`
`replication_pad_nd`
`resize_`
`sample`
`scaled_dot_product_attention`
`scaled_modified_bessel_k0`
`scaled_modified_bessel_k1`
`scatter_`
`scatter_add_`
`shifted_chebyshev_polynomial_t`
`shifted_chebyshev_polynomial_u`
`shifted_chebyshev_polynomial_v`
`shifted_chebyshev_polynomial_w`
`silu`
`slice`
`smooth_l1_loss`
`soft_margin_loss`
`softplus`
`softshrink`
`sparse_add`
`sparse_mm`
`sparse_mul`
`sparse_sum`
`spdiags`
`spherical_bessel_j0`
`split_with_sizes`
`sub_`
`to_dense`
`to_sparse`
`to_sparse_csr`
`tp_binary_cross_entropy`
`tp_cosine_embedding_loss`
`tp_hinge_embedding_loss`
`tp_huber_loss`
`tp_kl_div`
`tp_l1_loss`
`tp_margin_ranking_loss`
`tp_poisson_nll_loss`
`tp_smooth_l1_loss`
`tp_soft_margin_loss`
`unfold`
`uniform_`
`unsafe_chunk`
`unsafe_split`
`upsample_bicubic2d`
`upsample_bilinear2d`
`upsample_linear1d`
`upsample_nearest1d`
`upsample_nearest2d`
`upsample_nearest3d`
`upsample_trilinear3d`
`view`
`zeta`

`tensorplay.tensor`
`tensorplay.functional.sparse_coo_tensor`
`tensorplay.as_tensor`	Convert `data` into a tensor, sharing storage when possible.
`tensorplay.from_dlpack`
`tensorplay.functional.zeros`
`tensorplay.functional.zeros_like`
`tensorplay.functional.ones`
`tensorplay.functional.ones_like`
`tensorplay.functional.arange`
`tensorplay.functional.linspace`
`tensorplay.functional.logspace`
`tensorplay.functional.eye`
`tensorplay.functional.empty`
`tensorplay.functional.empty_like`
`tensorplay.functional.full`
`tensorplay.functional.full_like`
`tensorplay.functional.quantize_per_tensor`
`tensorplay.functional.quantize_per_channel`
`tensorplay.functional.complex`
`tensorplay.functional.polar`
`tensorplay._composite_funcs.scalar_tensor`
`tensorplay.functional.heaviside`

`tensorplay.functional.addbmm`
`tensorplay.functional.addmm`
`tensorplay.functional.addmv`
`tensorplay.functional.addr`
`tensorplay.functional.baddbmm`
`tensorplay.functional.bmm`
`tensorplay._composite_funcs.chain_matmul`
`tensorplay.functional.cholesky_inverse`
`tensorplay.functional.cholesky_solve`
`tensorplay.functional.dot`
`tensorplay._composite_funcs.ger`
`tensorplay.functional.inner`
`tensorplay.functional.matmul`
`tensorplay._composite_funcs.matrix_power`
`tensorplay.functional.mm`
`tensorplay.functional.mv`
`tensorplay.functional.outer`
`tensorplay.functional.svd`
`tensorplay._composite_funcs.trapz`
`tensorplay._composite_funcs.trapezoid`
`tensorplay._composite_funcs.cumulative_trapezoid`
`tensorplay.functional.triangular_solve`
`tensorplay.functional.vdot`

tensorplay

Tensors

Creation Ops

Indexing, Slicing, Joining, Mutating Ops

Generators

Random sampling

Serialization

Parallelism

Locally disabling gradient computation

Pointwise Ops

Reduction Ops

Comparison Ops

Spectral Ops

Other Operations

BLAS and LAPACK Operations

Utilities

Optimizations

TensorPlay-specific additions

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