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v0.6.4 (2023-11-13)

Enhancements

• [Nx] Allow non-scalar tensors on access

Bug fixes

• [Nx] Improve the :axes option in gather, indexed_add, and indexed_put
• [Nx] Fix grad of gather, indexed_add, and indexed_put with axes
• [Nx.BinaryBackend] Fix sorting of negative infinity
• [Nx.BinaryBackend] Always sort NaN last
• [Nx.Serving] Fix Nx.Batch padding with multi-device backends

v0.6.3 (2023-11-09)

Enhancements

• [Nx] Allow non-scalars as updates on indexed_add and indexed_put
• [Nx] Allow non-scalars as return of gather
• [Nx] Support the :axes option in gather, indexed_add, and indexed_put
• [Nx] Add Nx.covariance
• [Nx] Support :type in argsort
• [Nx] Support :stable option in argsort for future compatibility
• [Nx.Serving] Add :weight option for static load balancing

Bug fixes

• [Nx] Cast input types on slicing
• [Nx.Defn] Support vectorized tensors in grad
• [Nx.Defn] Fix bugs when diffing tensor expressions
• [Nx.Serving] Handle serving getting stuck on timer messages

v0.6.2 (2023-09-21)

Enhancements

• [Nx.Serving] Add Nx.Serving.batch_size/2 and perform batch splitting on run
• [Nx.Serving] Support input streaming

v0.6.1 (2023-09-12)

Enhancements

• [Nx] Add multivariate normal distribution
• [Nx.Serving] Automatically split exceeding batch sizes

Bug fixes

• [Nx] Fix Nx.pad/2 with different backends
• [Nx] Fix Nx.clip/3 with non-finite values
• [Nx.Serving] Emit batches as they arrive in Nx.Serving.streaming/2
• [Nx.Serving] Ensure batch key is preserved when a batch is split

v0.6.0 (2023-08-15)

Enhancements

• [Nx] Add constant creation helpers such as u8, f32, etc
• [Nx] Implement Bluestein's algorithm for fft and ifft in the binary backend
• [Nx] Support range with steps when accessing tensors
• [Nx] Support vectorization via Nx.vectorize/2, Nx.devectorize/2, Nx.revectorize/2, Nx.reshape_vectors/2, and Nx.broadcast_vectors/2
• [Nx] Add Nx.logsumexp/2
• [Nx] Add Nx.split/3
• [Nx] Add Nx.tri/2, Nx.triu/2, Nx.tril/2
• [Nx] Introduce a new serialization format that is more suitable to memory mapping
• [Nx.Defn] Consider Inspect.Opts limit when pretty printing Nx.Defn expressions
• [Nx.Serving] Support multiple batch keys in Nx.Serving
• [Nx.Serving] Support streaming in Nx.Serving

Bug fixes

• [Nx] Fix from_numpy with 1-byte width arrays
• [Nx] Fix cases where pretty printing large Nx.Defn expressions would take a long time
• [Nx] Fix reduce_min/reduce_max for non-finite values

Deprecations

• [Nx.Serving] The post-processing function must now be a two-arity function that receives the {output, metadata} as a pair or the stream

Breaking changes

• [Nx.Serving] The nx.serving.postprocessing telemetry event no longer receives the serving output or serving metadata as event metadata

v0.5.3 (2023-04-14)

Bug fixes

• [Nx.Defn] Fix compilation error when Elixir compiler has column tracking enabled
• [Nx.LinAlg] Fix cases where determinant could return NaN
• [Nx.LinAlg] Fix SVD when working with f16 and bf16

v0.5.2 (2023-03-21)

Enhancements

• [Nx.Random] Add stop_grad to Nx.Random creation functions
• [Nx.Serving] Reduce references sent through serving

Bug fixes

• [Nx] Fix Nx.mode with :axis option

v0.5.1 (2023-02-18)

Require Elixir v1.14.

Enhancements

• [Nx] Support any container or lazy container in stack/concatenate
• [Nx] Add Nx.top_k/2
• [Nx] Add Nx.to_list/1
• [Nx] Improve shape validation in Nx.concatenate/2
• [Nx.Constants] Add pi, e, and euler_gamma
• [Nx.Random] Raise if a non-unary rank tensor is given as probabilities to Nx.Random.choice/4
• [Nx.Random] Make samples optional in Nx.Random.choice/3

v0.5.0 (2023-02-10)

Enhancements

• [Nx] Support serialization of containers
• [Nx] Rename Nx.power to Nx.pow
• [Nx] Add Nx.reflect and Nx.linspace
• [Nx.Defn] Raise at compile time for invalid defn if/cond usage
• [Nx.LinAlg] Support full_matrices? in SVD
• [Nx.LinAlg] Add Nx.LinAlg.matrix_rank
• [Nx.Random] Add Nx.Random.choice and Nx.Random.shuffle
• [Nx.Serving] Add distributed² serving by distributing over devices (GPUs/CPUs) as well as nodes
• [Nx.Serving] Add telemetry to Nx.Serving callbacks

Backwards incompatible changes

• [Nx] from_numpy and from_numpy_archive have been replaced by load_numpy! and load_numpy_archive!
• [Nx.Defn.Evaluator] Do not force GC on evaluator

v0.4.2 (2023-01-13)

Enhancements

• [Nx] Allow tensors to be given on Nx.tensor/2
• [Nx] Add Nx.with_default_backend/2
• [Nx] Add :axes option to Nx.flatten/2
• [Nx] Add :axes option to Nx.weighted_mean/2
• [Nx.Defn] Warn if Nx.tensor/2 first-argument is not constant inside defn
• [Nx.LinAlg] Add Nx.LinAlg.pinv/1
• [Nx.LinAlg] Optimize and handle more cases in Nx.LinAlg.svd/1

Bug fixes

• [Nx] Respect fortran order in loading from numpy
• [Nx.Defn] Render containers in compile error type+shape mismatch
• [Nx.Defn] Restore pdict state after compilation

v0.4.1 (2022-12-07)

Enhancements

• [Nx] Add Nx.Batch and Nx.Serving
• [Nx] Implement Nx.Container for numbers, complex, and tensors for completeness
• [Nx] Support batches in Nx.eye/2

Bug fixes

• [Nx] Keep input tensor names on associative scan
• [Nx.BinaryBackend] Differentiate between complex and real output in as_type
• [Nx.BinaryBackend] Fix loss of precision in Nx.complex/2
• [Nx.BinaryBackend] Preserve NaNs in window and reduce operations
• [Nx.Random] Do not return infinity on normal/2 for f16

v0.4.0 (2022-10-25)

Enhancements

• [Nx] Add Nx.rename/2, Nx.median/2, Nx.weighted_mean/3, and Nx.mode/2
• [Nx] Implement cumulative operations using associative scan for improved performance
• [Nx.Constants] Add min and max
• [Nx.Defn] Allow lists and functions anywhere as arguments in defn, jit and compile
• [Nx.Defn] Add Nx.LazyContainer that allows a data-structure to lazily define tensors
• [Nx.Defn] Allow tensors and ranges as generators inside while
• [Nx.Defn] Add debug_expr/2 and debug_expr_apply/3
• [Nx.Defn.Evaluator] Calculate cache lifetime to reduce memory usage on large numerical programs
• [Nx.LinAlg] Handle Hermitian matrices in eigh
• [Nx.LinAlg] Support batched operations in adjoint, cholesky, determinant, eigh, invert, lu, matrix_power, solve, svd, and triangular_solve
• [Nx.Random] Support pseudo random number generators algorithms

Bug fixes

• [Nx] Perform window_reduce/reduce operations from infinity and negative infinity
• [Nx.Defn] Ensure defnp emits warnings when unused
• [Nx.Defn] Warn on unused variables in while

Deprecations

• [Nx] Deprecate tensor as shape in Nx.eye/2 and Nx.iota/2
• [Nx] Deprecate Nx.random_uniform/2 and Nx.random_normal/2

v0.3.0 (2022-08-13)

Enhancements

• [Nx] Improve support for non-finite values in Nx.broadcast/2, Nx.all_close/2, and more
• [Nx] Add Nx.is_nan/1 and Nx.is_infinite/1
• [Nx] Support booleans in Nx.tensor/2
• [Nx] Add Nx.fft/2 and Nx.ifft/2
• [Nx] Rename Nx.logistic/1 to Nx.sigmoid/1
• [Nx] Add Nx.put_diagonal/3 and Nx.indexed_put/3
• [Nx] Add :reverse to cummulative functions
• [Nx] Add Nx.to_batched/3 which returns a stream
• [Nx] Support batched tensors in Nx.LinAlg.qr/1
• [Nx.Defn] Add Nx.Defn.compile/3 for precompiling expressions
• [Nx.Defn] Add deftransform/2 and deftransformp/2 for easier to define transforms
• [Nx.Defn] Add div/2
• [Nx.Defn] Support case/2, raise/1, and raise/2
• [Nx.Defn] Support booleans in if, cond, and boolean operators
• [Nx.Defn] Perform branch elimitation in if and cond and execute branches lazily
• [Nx.Defn.Evaluator] Garbage collect after evaluation (it can be disabled by setting the :garbage_collect compiler option to false)

Deprecations

• [Nx] Nx.to_batched_list/3 is deprecated in favor of Nx.to_batched/3
• [Nx.Defn] transform/2 is deprecated in favor of deftransform/2 and deftransformp/2
• [Nx.Defn] assert_shape/2 and assert_shape_pattern/2 are deprecated in favor of case/2 + raise/2
• [Nx.Defn] inspect_expr/1 and inspect_value/1 are deprecated in favor of print_expr/1 and print_value/1 respectively

v0.2.1 (2022-06-04)

Enhancements

• [Nx] Improve support for non-finite values in Nx.tensor/1
• [Nx] Use iovec on serialization to avoid copying binaries
• [Nx.BinaryBackend] Improve for complex numbers in Nx.tensor/1
• [Nx.Defn] Improve for complex numbers inside defn

Bug fixes

• [Nx] Properly normalize type in Nx.from_binary/3
• [Nx.Defn] Raise on Nx.Defn.Expr as JIT argument
• [Nx.Defn.Evaluator] Handle concatenate arguments on evaluator

v0.2.0 (2022-04-28)

This version requires Elixir v1.13+.

Enhancements

• [Nx] Support atom notation as the type option throughout the API (for example, :u8, :f64, etc)
• [Nx] Add support for complex numbers (c64, c128)
• [Nx] Add Nx.cumulative_sum/2, Nx.cumulative_product/2, Nx.cumulative_min/2, Nx.cumulative_max/2
• [Nx] Add Nx.conjugate/1, Nx.phase/1, Nx.real/1, and Nx.imag/1
• [Nx] Initial support for NaN and Infinity
• [Nx] Add :axis option to Nx.shuffle/2
• [Nx] Add Nx.axis_index/2
• [Nx] Add Nx.variance/2 to Nx.standard_deviation/2
• [Nx] Rename Nx.slice_axis/3 to Nx.slice_along_axis/4
• [Nx.Backend] Add support for optional backends
• [Nx.Constants] Provide a convenient module to host constants
• [Nx.Defn] Improve error messages throughout the compiler

v0.1.0 (2022-01-06)

First release.