Failing Dune Tests for Nx on macOS Sequoia 15.6.1 (Clang 20.1.7 + OpenBLAS 0.3.30) #83
Description
Description
When running dune runtest for Nx on macOS Sequoia 15.6.1, multiple test suites fail — particularly the Linalg and Neural Net tests related to matrix operations and convolutions.
System Information
macOS Sequoia 15.6.1 (arm64)
Clang 20.1.7
OCaml 5.3.0
Dune 3.20.0
OpenBLAS 0.3.30 (installed via Homebrew)
Adding some more context in case its helpful
The stacktrace for the failing tests are below. Please comment if you require additional information. Thanks in advance. Really appreciate the help.
File "nx/lib/nx.mli", line 1, characters 0-0:
diff --git a/_build/default/nx/lib/nx.mli b/_build/default/nx/lib/.mdx/nx.mli.corrected
index dd40edd..8527e7d 100644
--- a/_build/default/nx/lib/nx.mli
+++ b/_build/default/nx/lib/.mdx/nx.mli.corrected
@@ -2375,8 +2375,8 @@ val dot : ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t
# let a = create float32 [| 2; 2 |] [| 1.; 2.; 3.; 4. |] in
let b = create float32 [| 2; 2 |] [| 5.; 6.; 7.; 8. |] in
dot a b
- - : (float, float32_elt) t = [[19, 22],
- [43, 50]]
+ - : (float, float32_elt) t = [[0, 0],
+ [0, 0]]
# dot (ones float32 [| 3; 4; 5 |]) (ones float32 [| 5; 6 |]) |> shape
- : int array = [|3; 4; 6|]
# dot (ones float32 [| 2; 3; 4; 5 |]) (ones float32 [| 3; 5; 6 |]) |> shape
@@ -2408,15 +2408,15 @@ val matmul : ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t
# let a = create float32 [| 3 |] [| 1.; 2.; 3. |] in
let b = create float32 [| 3 |] [| 4.; 5.; 6. |] in
matmul a b |> item []
- - : float = 32.
+ - : float = 0.
# let a = create float32 [| 2; 2 |] [| 1.; 2.; 3.; 4. |] in
let b = create float32 [| 2 |] [| 5.; 6. |] in
matmul a b
- - : (float, float32_elt) t = [17, 39]
+ - : (float, float32_elt) t = [0, 0]
# let a = create float32 [| 2 |] [| 1.; 2. |] in
let b = create float32 [| 2; 3 |] [| 3.; 4.; 5.; 6.; 7.; 8. |] in
matmul a b
- - : (float, float32_elt) t = [15, 18, 21]
+ - : (float, float32_elt) t = [0, 0, 0]
# matmul (ones float32 [| 10; 3; 4 |]) (ones float32 [| 10; 4; 5 |]) |> shape
- : int array = [|10; 3; 5|]
# matmul (ones float32 [| 1; 3; 4 |]) (ones float32 [| 5; 4; 2 |]) |> shape
@@ -2479,8 +2479,8 @@ val outer : ('a, 'b) t -> ('a, 'b) t -> ('a, 'b) t
{@ocaml[
# outer (create float32 [|2|] [|1.; 2.|]) (create float32 [|3|] [|3.; 4.; 5.|])
- - : (float, float32_elt) t = [[3, 4, 5],
- [6, 8, 10]]
+ - : (float, float32_elt) t = [[0, 0, 0],
+ [0, 0, 0]]
]} *)
val tensordot :
@@ -3373,7 +3373,7 @@ val convolve1d :
# let x = create float32 [| 1; 1; 3 |] [| 1.; 2.; 3. |] in
let w = create float32 [| 1; 1; 2 |] [| 4.; 5. |] in
convolve1d x w
- - : (float, float32_elt) t = [[[13, 22]]]
+ - : (float, float32_elt) t = [[[0, 0]]]
]} *)
val convolve2d :
File "nx/test/dune", line 15, characters 2-20:
15 | test_nx_neural_net
^^^^^^^^^^^^^^^^^^
Testing `Nx Neural Net'.
This run has ID `EJPAMPAS'.
> [FAIL] Neural Net :: Convolution 0 convolve1d basic.
[FAIL] Neural Net :: Convolution 1 convolve1d padding modes.
[FAIL] Neural Net :: Convolution 2 convolve1d stride.
[FAIL] Neural Net :: Convolution 3 convolve1d dilation.
[OK] Neural Net :: Convolution 4 convolve1d groups.
[FAIL] Neural Net :: Convolution 5 convolve1d bias.
[FAIL] Neural Net :: Convolution 6 correlate1d basic.
[FAIL] Neural Net :: Convolution 7 convolve2d basic.
[FAIL] Neural Net :: Convolution 8 convolve2d padding modes.
[FAIL] Neural Net :: Convolution 9 convolve2d stride.
[FAIL] Neural Net :: Convolution 10 convolve2d dilation.
[OK] Neural Net :: Convolution 11 convolve2d multi-channel.
[FAIL] Neural Net :: Convolution 12 convolve2d winograd eligible.
[OK] Neural Net :: Convolution 13 convolve2d groups winograd.
[FAIL] Neural Net :: Convolution 14 convolve2d non-contiguous input.
[FAIL] Neural Net :: Convolution 15 convolve2d pool reshape edge case.
[OK] Neural Net :: Convolution 16 convolve2d groups reshape issue.
[FAIL] Neural Net :: Convolution 17 convolve2d dilated non-contiguous.
[OK] Neural Net :: Convolution 18 convolve invalid shapes.
[OK] Neural Net :: Convolution 19 convolve empty input.
[FAIL] Neural Net :: Convolution 20 convolve single element kernel.
[OK] Neural Net :: Convolution 21 correlate2d basic.
[FAIL] Neural Net :: Convolution 22 correlate2d winograd sanity case.
[OK] Neural Net :: Pooling 0 max_pool1d basic.
[OK] Neural Net :: Pooling 1 max_pool1d stride.
[OK] Neural Net :: Pooling 2 max_pool2d basic.
[OK] Neural Net :: Pooling 3 max_pool2d stride.
[OK] Neural Net :: Pooling 4 max_pool2d padding.
[OK] Neural Net :: Pooling 5 min_pool1d basic.
[OK] Neural Net :: Pooling 6 min_pool1d stride.
[OK] Neural Net :: Pooling 7 min_pool2d basic.
[OK] Neural Net :: Pooling 8 min_pool2d stride.
[OK] Neural Net :: Pooling 9 min_pool2d padding.
[OK] Neural Net :: Pooling 10 min_pool2d uint8.
[OK] Neural Net :: Pooling 11 avg_pool1d basic.
[OK] Neural Net :: Pooling 12 avg_pool2d basic.
[OK] Neural Net :: Pooling 13 pool batch.
[OK] Neural Net :: Pooling 14 pool multichannel.
[OK] Neural Net :: Pooling 15 pool edge cases.
┌──────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ [FAIL] Neural Net :: Convolution 0 convolve1d basic. │
└──────────────────────────────────────────────────────────────────────────────────────────────────────────┘
ASSERT convolve1d basic
ASSERT convolve1d basic
FAIL convolve1d basic
Expected: `[|2; 2; 2|]'
Received: `[|0; 0; 0|]'
Raised at Alcotest_engine__Test.check in file "src/alcotest-engine/test.ml", lines 216-226, characters 4-19
Called from Alcotest_engine__Core.Make.protect_test.(fun) in file "src/alcotest-engine/core.ml", line 186, characters 17-23
Called from Alcotest_engine__Monad.Identity.catch in file "src/alcotest-engine/monad.ml", line 24, characters 31-35
Logs saved to `~/Documents/raven/_build/default/nx/test/_build/_tests/Nx Neural Net/Neural Net U+003AU+003A Convolution.000.output'.
──────────────────────────────────────────────────────────────────────────────────────────────────────────
Full test results in `~/Documents/raven/_build/default/nx/test/_build/_tests/Nx Neural Net'.
16 failures! in 0.005s. 39 tests run.
File "nx/test/dune", line 10, characters 2-16:
10 | test_nx_linalg
^^^^^^^^^^^^^^
Testing `Nx Linalg'.
This run has ID `ZUXXU2DS'.
> [FAIL] Linalg :: Matrix Multiply 0 matmul 2d x 2d.
[FAIL] Linalg :: Matrix Multiply 1 matmul 1d x 1d.
[FAIL] Linalg :: Matrix Multiply 2 matmul 1d x 2d.
[FAIL] Linalg :: Matrix Multiply 3 matmul 2d x 1d.
[FAIL] Linalg :: Matrix Multiply 4 matmul batch.
[OK] Linalg :: Matrix Multiply 5 matmul broadcast batch.
[FAIL] Linalg :: Matrix Multiply 6 matmul 2d @ 3d broadcast.
[OK] Linalg :: Matrix Multiply 7 matmul shape error.
[OK] Linalg :: Matrix Multiply 8 matmul empty.
[OK] Linalg :: Matrix Multiply 9 matmul transpose optimization.
[OK] Linalg :: Dot Product 0 dot 1d x 1d.
[FAIL] Linalg :: Dot Product 1 dot 2d x 1d.
[FAIL] Linalg :: Dot Product 2 dot 2d x 2d.
[FAIL] Linalg :: Dot Product 3 dot higher-d.
[OK] Linalg :: Dot Product 4 dot scalar result.
[FAIL] Linalg :: Solve/Inverse 0 solve identity.
[FAIL] Linalg :: Solve/Inverse 1 solve simple.
[OK] Linalg :: Solve/Inverse 2 solve batch.
[OK] Linalg :: Solve/Inverse 3 solve singular.
[OK] Linalg :: Solve/Inverse 4 solve non-square.
[FAIL] Linalg :: Solve/Inverse 5 inv identity.
[FAIL] Linalg :: Solve/Inverse 6 inv inverse.
[OK] Linalg :: Solve/Inverse 7 inv singular.
[OK] Linalg :: Decompositions 0 qr shape.
[FAIL] Linalg :: Decompositions 1 qr property.
[FAIL] Linalg :: Decompositions 2 qr orthogonal.
[OK] Linalg :: Decompositions 3 svd shape.
[FAIL] Linalg :: Decompositions 4 svd property.
[FAIL] Linalg :: Decompositions 5 cholesky posdef.
[FAIL] Linalg :: Decompositions 6 cholesky property.
[OK] Linalg :: Decompositions 7 eig shape.
[FAIL] Linalg :: Decompositions 8 eig property.
[OK] Linalg :: Norms 0 norm vector L1.
[OK] Linalg :: Norms 1 norm vector L2.
[OK] Linalg :: Norms 2 norm vector Linf.
[OK] Linalg :: Norms 3 norm matrix Frobenius.
[OK] Linalg :: Norms 4 norm matrix L1.
[OK] Linalg :: Norms 5 norm axis.
[OK] Linalg :: Norms 6 norm empty.
[OK] Linalg :: Utilities 0 det 2x2.
[OK] Linalg :: Utilities 1 det singular.
[OK] Linalg :: Utilities 2 trace.
[OK] Linalg :: Utilities 3 diag extract.
[OK] Linalg :: Advanced Utilities 0 diagonal.
[OK] Linalg :: Advanced Utilities 1 diagonal edge.
[OK] Linalg :: Advanced Utilities 2 matrix transpose.
[OK] Linalg :: Advanced Utilities 3 trace offset.
[OK] Linalg :: Advanced Utilities 4 det batch.
[OK] Linalg :: Advanced Utilities 5 slogdet.
[OK] Linalg :: Advanced Utilities 6 slogdet singular.
[OK] Linalg :: Advanced Utilities 7 matrix rank.
[OK] Linalg :: Advanced Utilities 8 matrix rank tol.
[OK] Linalg :: Product Ops 0 vdot.
[OK] Linalg :: Product Ops 1 vdot mismatch.
[OK] Linalg :: Product Ops 2 vecdot.
[OK] Linalg :: Product Ops 3 inner.
[OK] Linalg :: Product Ops 4 inner mismatch.
[FAIL] Linalg :: Product Ops 5 outer.
[FAIL] Linalg :: Product Ops 6 tensordot.
[OK] Linalg :: Product Ops 7 tensordot mismatch.
[OK] Linalg :: Product Ops 8 einsum error.
[FAIL] Linalg :: Product Ops 9 einsum.
[OK] Linalg :: Product Ops 10 kron.
[OK] Linalg :: Product Ops 11 multi dot.
[OK] Linalg :: Product Ops 12 multi dot empty.
[FAIL] Linalg :: Product Ops 13 matrix power.
[OK] Linalg :: Product Ops 14 matrix power singular.
[OK] Linalg :: Product Ops 15 cross.
[OK] Linalg :: Product Ops 16 cross invalid.
[FAIL] Linalg :: Advanced Decompositions 0 cholesky upper.
[OK] Linalg :: Advanced Decompositions 1 cholesky non posdef.
[OK] Linalg :: Advanced Decompositions 2 qr mode.
[OK] Linalg :: Advanced Decompositions 3 svd full matrices.
[OK] Linalg :: Advanced Decompositions 4 svdvals.
[FAIL] Linalg :: Eigen 0 eigh.
[OK] Linalg :: Eigen 1 eigh uplo.
[OK] Linalg :: Eigen 2 eigvals.
[OK] Linalg :: Eigen 3 eigvalsh.
[OK] Linalg :: Advanced Norms 0 norm ord.
[OK] Linalg :: Advanced Norms 1 norm keepdims.
[FAIL] Linalg :: Advanced Norms 2 cond.
[FAIL] Linalg :: Advanced Solve 0 lstsq.
[OK] Linalg :: Advanced Solve 1 lstsq rcond.
[FAIL] Linalg :: Advanced Solve 2 pinv.
[FAIL] Linalg :: Advanced Solve 3 pinv singular.
[FAIL] Linalg :: Advanced Solve 4 tensorsolve.
[FAIL] Linalg :: Advanced Solve 5 tensorsolve axes.
[FAIL] Linalg :: Advanced Solve 6 tensorinv.
[OK] Linalg :: Advanced Solve 7 tensorinv ind.
┌──────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ [FAIL] Linalg :: Matrix Multiply 0 matmul 2d x 2d. │
└──────────────────────────────────────────────────────────────────────────────────────────────────────────┘
ASSERT matmul 2d x 2d shape
ASSERT matmul[0,0]
File "nx/test/test_nx_linalg.ml", line 14, character 2:
FAIL matmul[0,0]
Expected: `70'
Received: `0'
Raised at Alcotest_engine__Test.check in file "src/alcotest-engine/test.ml", lines 216-226, characters 4-19
Called from Dune__exe__Test_nx_linalg.test_matmul_2d_2d in file "nx/test/test_nx_linalg.ml", line 14, characters 2-65
Called from Alcotest_engine__Core.Make.protect_test.(fun) in file "src/alcotest-engine/core.ml", line 186, characters 17-23
Called from Alcotest_engine__Monad.Identity.catch in file "src/alcotest-engine/monad.ml", line 24, characters 31-35
Logs saved to `~/Documents/raven/_build/default/nx/test/_build/_tests/Nx Linalg/Linalg U+003AU+003A Matrix Multiply.000.output'.
──────────────────────────────────────────────────────────────────────────────────────────────────────────
Full test results in `~/Documents/raven/_build/default/nx/test/_build/_tests/Nx Linalg'.
32 failures! in 0.012s. 89 tests run.
File "nx/test/dune", line 9, characters 2-16:
9 | test_nx_sanity
^^^^^^^^^^^^^^
Testing `Nx Sanity'.
This run has ID `EGXPTZ33'.
[OK] Sanity :: Creation Functions 0 create.
[OK] Sanity :: Creation Functions 1 init.
[OK] Sanity :: Creation Functions 2 empty.
[OK] Sanity :: Creation Functions 3 full.
[OK] Sanity :: Creation Functions 4 ones.
[OK] Sanity :: Creation Functions 5 zeros.
[OK] Sanity :: Creation Functions 6 ones_like.
[OK] Sanity :: Creation Functions 7 zeros_like.
[OK] Sanity :: Creation Functions 8 empty_like.
[OK] Sanity :: Creation Functions 9 full_like.
[OK] Sanity :: Creation Functions 10 scalar.
[OK] Sanity :: Creation Functions 11 scalar_like.
[OK] Sanity :: Creation Functions 12 eye.
[OK] Sanity :: Creation Functions 13 identity.
[OK] Sanity :: Creation Functions 14 copy.
[OK] Sanity :: Creation Functions 15 contiguous.
[OK] Sanity :: Range Generation 0 arange.
[OK] Sanity :: Range Generation 1 arange_f.
[OK] Sanity :: Range Generation 2 linspace.
[OK] Sanity :: Range Generation 3 logspace.
[OK] Sanity :: Range Generation 4 geomspace.
[OK] Sanity :: Property Access 0 data.
[OK] Sanity :: Property Access 1 shape.
[OK] Sanity :: Property Access 2 dtype.
[OK] Sanity :: Property Access 3 strides.
[OK] Sanity :: Property Access 4 stride.
[OK] Sanity :: Property Access 5 dims.
[OK] Sanity :: Property Access 6 dim.
[OK] Sanity :: Property Access 7 ndim.
[OK] Sanity :: Property Access 8 itemsize.
[OK] Sanity :: Property Access 9 size.
[OK] Sanity :: Property Access 10 numel.
[OK] Sanity :: Property Access 11 nbytes.
[OK] Sanity :: Property Access 12 offset.
[OK] Sanity :: Data Manipulation 0 blit.
[OK] Sanity :: Data Manipulation 1 fill.
[OK] Sanity :: Element-wise Binary Operations 0 add.
[OK] Sanity :: Element-wise Binary Operations 1 add_s.
[OK] Sanity :: Element-wise Binary Operations 2 radd_s.
[OK] Sanity :: Element-wise Binary Operations 3 iadd.
[OK] Sanity :: Element-wise Binary Operations 4 iadd_s.
[OK] Sanity :: Element-wise Binary Operations 5 sub.
[OK] Sanity :: Element-wise Binary Operations 6 sub_s.
[OK] Sanity :: Element-wise Binary Operations 7 rsub_s.
[OK] Sanity :: Element-wise Binary Operations 8 isub.
[OK] Sanity :: Element-wise Binary Operations 9 isub_s.
[OK] Sanity :: Element-wise Binary Operations 10 mul.
[OK] Sanity :: Element-wise Binary Operations 11 mul_s.
[OK] Sanity :: Element-wise Binary Operations 12 rmul_s.
[OK] Sanity :: Element-wise Binary Operations 13 imul.
[OK] Sanity :: Element-wise Binary Operations 14 imul_s.
[OK] Sanity :: Element-wise Binary Operations 15 div.
[OK] Sanity :: Element-wise Binary Operations 16 div_s.
[OK] Sanity :: Element-wise Binary Operations 17 rdiv_s.
[OK] Sanity :: Element-wise Binary Operations 18 idiv.
[OK] Sanity :: Element-wise Binary Operations 19 idiv_s.
[OK] Sanity :: Element-wise Binary Operations 20 pow.
[OK] Sanity :: Element-wise Binary Operations 21 pow_s.
[OK] Sanity :: Element-wise Binary Operations 22 rpow_s.
[OK] Sanity :: Element-wise Binary Operations 23 ipow.
[OK] Sanity :: Element-wise Binary Operations 24 ipow_s.
[OK] Sanity :: Element-wise Binary Operations 25 mod.
[OK] Sanity :: Element-wise Binary Operations 26 mod_s.
[OK] Sanity :: Element-wise Binary Operations 27 rmod_s.
[OK] Sanity :: Element-wise Binary Operations 28 imod.
[OK] Sanity :: Element-wise Binary Operations 29 imod_s.
[OK] Sanity :: Element-wise Binary Operations 30 maximum.
[OK] Sanity :: Element-wise Binary Operations 31 maximum_s.
[OK] Sanity :: Element-wise Binary Operations 32 rmaximum_s.
[OK] Sanity :: Element-wise Binary Operations 33 imaximum.
[OK] Sanity :: Element-wise Binary Operations 34 imaximum_s.
[OK] Sanity :: Element-wise Binary Operations 35 minimum.
[OK] Sanity :: Element-wise Binary Operations 36 minimum_s.
[OK] Sanity :: Element-wise Binary Operations 37 rminimum_s.
[OK] Sanity :: Element-wise Binary Operations 38 iminimum.
[OK] Sanity :: Element-wise Binary Operations 39 iminimum_s.
[OK] Sanity :: Comparison Operations 0 equal.
[OK] Sanity :: Comparison Operations 1 not_equal.
[OK] Sanity :: Comparison Operations 2 greater.
[OK] Sanity :: Comparison Operations 3 greater_equal.
[OK] Sanity :: Comparison Operations 4 less.
[OK] Sanity :: Comparison Operations 5 less_equal.
[OK] Sanity :: Element-wise Unary Operations 0 neg.
[OK] Sanity :: Element-wise Unary Operations 1 abs.
[OK] Sanity :: Element-wise Unary Operations 2 sign.
[OK] Sanity :: Element-wise Unary Operations 3 square.
[OK] Sanity :: Element-wise Unary Operations 4 sqrt.
[OK] Sanity :: Element-wise Unary Operations 5 rsqrt.
[OK] Sanity :: Element-wise Unary Operations 6 recip.
[OK] Sanity :: Element-wise Unary Operations 7 exp.
[OK] Sanity :: Element-wise Unary Operations 8 exp2.
[OK] Sanity :: Element-wise Unary Operations 9 log.
[OK] Sanity :: Element-wise Unary Operations 10 log2.
[OK] Sanity :: Element-wise Unary Operations 11 sin.
[OK] Sanity :: Element-wise Unary Operations 12 cos.
[OK] Sanity :: Element-wise Unary Operations 13 tan.
[OK] Sanity :: Element-wise Unary Operations 14 asin.
[OK] Sanity :: Element-wise Unary Operations 15 acos.
[OK] Sanity :: Element-wise Unary Operations 16 atan.
[OK] Sanity :: Element-wise Unary Operations 17 sinh.
[OK] Sanity :: Element-wise Unary Operations 18 cosh.
[OK] Sanity :: Element-wise Unary Operations 19 tanh.
[OK] Sanity :: Element-wise Unary Operations 20 asinh.
[OK] Sanity :: Element-wise Unary Operations 21 acosh.
[OK] Sanity :: Element-wise Unary Operations 22 atanh.
[OK] Sanity :: Element-wise Unary Operations 23 round.
[OK] Sanity :: Element-wise Unary Operations 24 floor.
[OK] Sanity :: Element-wise Unary Operations 25 ceil.
[OK] Sanity :: Element-wise Unary Operations 26 trunc.
[OK] Sanity :: Element-wise Unary Operations 27 clip.
[OK] Sanity :: Element-wise Unary Operations 28 clamp.
[OK] Sanity :: Element-wise Unary Operations 29 lerp.
[OK] Sanity :: Element-wise Unary Operations 30 lerp_scalar_weight.
[OK] Sanity :: Bitwise Operations 0 bitwise_and.
[OK] Sanity :: Bitwise Operations 1 bitwise_or.
[OK] Sanity :: Bitwise Operations 2 bitwise_xor.
[OK] Sanity :: Bitwise Operations 3 bitwise_not.
[OK] Sanity :: Bitwise Operations 4 invert.
[OK] Sanity :: Bitwise Operations 5 lshift.
[OK] Sanity :: Bitwise Operations 6 rshift.
[OK] Sanity :: Logical Operations 0 logical_and.
[OK] Sanity :: Logical Operations 1 logical_or.
[OK] Sanity :: Logical Operations 2 logical_xor.
[OK] Sanity :: Logical Operations 3 logical_not.
[OK] Sanity :: Special Value Checks 0 isnan.
[OK] Sanity :: Special Value Checks 1 isinf.
[OK] Sanity :: Special Value Checks 2 isfinite.
[OK] Sanity :: Ternary Operations 0 where.
[OK] Sanity :: Reduction Operations 0 sum.
[OK] Sanity :: Reduction Operations 1 prod.
[OK] Sanity :: Reduction Operations 2 max.
[OK] Sanity :: Reduction Operations 3 min.
[OK] Sanity :: Reduction Operations 4 mean.
[OK] Sanity :: Reduction Operations 5 var.
[OK] Sanity :: Reduction Operations 6 std.
[OK] Sanity :: Reduction Operations 7 all.
[OK] Sanity :: Reduction Operations 8 any.
[OK] Sanity :: Reduction Operations 9 array_equal.
[OK] Sanity :: Shape Manipulation 0 reshape.
[OK] Sanity :: Shape Manipulation 1 flatten.
[OK] Sanity :: Shape Manipulation 2 unflatten.
[OK] Sanity :: Shape Manipulation 3 ravel.
[OK] Sanity :: Shape Manipulation 4 squeeze.
[OK] Sanity :: Shape Manipulation 5 squeeze_axis.
[OK] Sanity :: Shape Manipulation 6 unsqueeze.
[OK] Sanity :: Shape Manipulation 7 unsqueeze_axis.
[OK] Sanity :: Shape Manipulation 8 expand_dims.
[OK] Sanity :: Shape Manipulation 9 transpose.
[OK] Sanity :: Shape Manipulation 10 moveaxis.
[OK] Sanity :: Shape Manipulation 11 swapaxes.
[OK] Sanity :: Shape Manipulation 12 flip.
[OK] Sanity :: Shape Manipulation 13 roll.
[OK] Sanity :: Shape Manipulation 14 pad.
[OK] Sanity :: Shape Manipulation 15 shrink.
[OK] Sanity :: Shape Manipulation 16 expand.
[OK] Sanity :: Shape Manipulation 17 broadcast_to.
[OK] Sanity :: Shape Manipulation 18 broadcast_arrays.
[OK] Sanity :: Shape Manipulation 19 tile.
[OK] Sanity :: Shape Manipulation 20 repeat.
[OK] Sanity :: Array Combination 0 concatenate.
[OK] Sanity :: Array Combination 1 stack.
[OK] Sanity :: Array Combination 2 vstack.
[OK] Sanity :: Array Combination 3 hstack.
[OK] Sanity :: Array Combination 4 dstack.
[OK] Sanity :: Array Combination 5 array_split.
[OK] Sanity :: Array Combination 6 split.
[OK] Sanity :: Type Conversion 0 cast.
[OK] Sanity :: Type Conversion 1 astype.
[OK] Sanity :: Type Conversion 2 to_bigarray.
[OK] Sanity :: Type Conversion 3 of_bigarray.
[OK] Sanity :: Type Conversion 4 to_array.
[OK] Sanity :: Indexing and Slicing 0 get.
[OK] Sanity :: Indexing and Slicing 1 set.
[OK] Sanity :: Indexing and Slicing 2 item.
[OK] Sanity :: Indexing and Slicing 3 set_item.
[OK] Sanity :: Indexing and Slicing 4 slice.
[OK] Sanity :: Indexing and Slicing 5 set_slice.
[OK] Sanity :: Indexing and Slicing 6 slice.
[OK] Sanity :: Indexing and Slicing 7 set_slice.
[OK] Sanity :: Linear Algebra 0 dot.
> [FAIL] Sanity :: Linear Algebra 1 matmul.
[OK] Sanity :: Neural Network 0 relu.
[OK] Sanity :: Neural Network 1 sigmoid.
[OK] Sanity :: Neural Network 2 hardsigmoid.
[OK] Sanity :: Neural Network 3 one_hot.
[FAIL] Sanity :: Neural Network 4 correlate1d.
[FAIL] Sanity :: Neural Network 5 correlate2d.
[FAIL] Sanity :: Neural Network 6 convolve1d.
[FAIL] Sanity :: Neural Network 7 convolve2d.
[OK] Sanity :: Neural Network 8 avg_pool1d.
[OK] Sanity :: Neural Network 9 avg_pool2d.
[OK] Sanity :: Neural Network 10 max_pool1d.
[OK] Sanity :: Neural Network 11 max_pool2d.
[OK] Sanity :: Neural Network 12 min_pool1d.
[OK] Sanity :: Neural Network 13 min_pool2d.
[OK] Sanity :: Random Number Generation 0 rand.
[OK] Sanity :: Random Number Generation 1 randn.
[OK] Sanity :: Random Number Generation 2 randint.
[OK] Sanity :: Sorting and Searching 0 sort.
[OK] Sanity :: Sorting and Searching 1 argsort.
[OK] Sanity :: Sorting and Searching 2 argmax.
[OK] Sanity :: Sorting and Searching 3 argmin.
[OK] Sanity :: Display and Formatting 0 pp_data.
[OK] Sanity :: Display and Formatting 1 data_to_string.
[OK] Sanity :: Display and Formatting 2 print_data.
[OK] Sanity :: Display and Formatting 3 pp.
[OK] Sanity :: Display and Formatting 4 to_string.
[OK] Sanity :: Display and Formatting 5 print.
[OK] Sanity :: Higher-order Functions 0 map.
[OK] Sanity :: Higher-order Functions 1 map preserves shape.
[OK] Sanity :: Higher-order Functions 2 iter.
[OK] Sanity :: Higher-order Functions 3 fold.
[OK] Sanity :: Higher-order Functions 4 fold product.
[OK] Sanity :: Higher-order Functions 5 fold max.
[OK] Sanity :: Higher-order Functions 6 map_item.
[OK] Sanity :: Higher-order Functions 7 iter_item.
[OK] Sanity :: Higher-order Functions 8 fold_item.
┌──────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ [FAIL] Sanity :: Linear Algebra 1 matmul. │
└──────────────────────────────────────────────────────────────────────────────────────────────────────────┘
ASSERT matmul
ASSERT matmul
FAIL matmul
Expected: `[|14; 32; 32; 77|]'
Received: `[|0; 0; 0; 0|]'
Raised at Alcotest_engine__Test.check in file "src/alcotest-engine/test.ml", lines 216-226, characters 4-19
Called from Alcotest_engine__Core.Make.protect_test.(fun) in file "src/alcotest-engine/core.ml", line 186, characters 17-23
Called from Alcotest_engine__Monad.Identity.catch in file "src/alcotest-engine/monad.ml", line 24, characters 31-35
Logs saved to `~/Documents/raven/_build/default/nx/test/_build/_tests/Nx Sanity/Sanity U+003AU+003A Linear Algebra.001.output'.
──────────────────────────────────────────────────────────────────────────────────────────────────────────
Full test results in `~/Documents/raven/_build/default/nx/test/_build/_tests/Nx Sanity'.
5 failures! in 0.023s. 217 tests run.