View Source Changelog

v0.7.2 (2024-04-27)

[Nx] Ensure shapes and types are checked inside while when there are vectorized tensors

v0.7.1 (2024-02-27)

[Nx.LinAlg] Minor speed up to Nx.LinAlg.qr/2 default implementation

v0.7.0 (2024-02-22)

Enhancements

[Nx] Add Nx.fft2 and Nx.ifft2
[Nx] Add Nx.fill/2
[Nx] Implement QR decomposition as optional callback
[Nx] Support :type option in argmin/argmax
[Nx] Default all sorting operations to unstable sorting (pass stable: true to change it)
[Nx.BinaryBackend] Improve performance of Nx.concatenate/2
[Nx.Defn] Support a mapping function in print_value/2
[Nx.Defn] Add Nx.Defn.Compiler.__to_backend__/1 callback
[Nx.LinAlg] Add Nx.least_squares/2

Bug fixes

[Nx.Constants] Fix min and max finite values for :bf16
[Nx.Defn] Do not discard arguments on optional grads

Incompatible changes

[Nx] Default to non-stable sorting
[Nx] Remove deprecated random_uniform, random_normal, shuffle
[Nx.Defn] Nx.Defn.rewrite_types/2 has been removed

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.

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