mirror of
https://github.com/ml-explore/mlx.git
synced 2025-09-05 16:13:52 +08:00
@@ -1,24 +1,50 @@
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cuda_skip = {
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"TestArray.test_api",
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"TestAutograd.test_cumprod_grad",
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"TestAutograd.test_slice_grads",
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"TestAutograd.test_split_against_slice",
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"TestAutograd.test_stop_gradient",
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"TestAutograd.test_topk_grad",
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"TestAutograd.test_update_state",
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"TestAutograd.test_vjp",
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"TestBF16.test_arg_reduction_ops",
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"TestBF16.test_binary_ops",
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"TestBF16.test_reduction_ops",
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"TestBlas.test_block_masked_matmul",
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"TestBlas.test_complex_gemm",
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"TestCompile.test_compile_dynamic_dims",
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"TestEinsum.test_ellipses",
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"TestEinsum.test_opt_einsum_test_cases",
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"TestLoad.test_load_f8_e4m3",
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"TestMemory.test_memory_info",
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"TestLayers.test_group_norm",
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"TestLayers.test_pooling",
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"TestLayers.test_quantized_embedding",
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"TestLayers.test_sin_pe",
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"TestLayers.test_upsample",
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"TestOps.test_array_equal",
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"TestOps.test_complex_ops",
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"TestOps.test_dynamic_slicing",
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"TestOps.test_softmax",
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"TestOps.test_sort",
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"TestOps.test_tile",
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"TestReduce.test_axis_permutation_sums",
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"TestReduce.test_dtypes",
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"TestReduce.test_expand_sums",
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"TestReduce.test_many_reduction_axes",
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"TestUpsample.test_torch_upsample",
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# DivMod NYI
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"TestOps.test_divmod",
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"TestEval.test_multi_output_eval_during_transform",
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# Partition NYI
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"TestAutograd.test_topk_grad",
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"TestOps.test_argpartition",
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"TestOps.test_partition",
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# Block masked matmul NYI
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"TestBlas.test_block_masked_matmul",
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# Gather matmul NYI
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"TestBlas.test_gather_matmul",
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"TestBlas.test_gather_matmul_grad",
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"TestBlas.test_matmul_batched",
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"TestBlas.test_matrix_vector_attn",
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"TestCompile.test_compile_dynamic_dims",
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"TestCompile.test_compile_inf",
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"TestCompile.test_inf_constant",
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# Scan NYI
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"TestAutograd.test_cumprod_grad",
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"TestOps.test_scans",
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"TestOps.test_logcumsumexp",
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# Hadamard NYI
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"TestOps.test_hadamard",
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"TestOps.test_hadamard_grad_vmap",
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# Convolutions NYI
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"TestConv.test_1d_conv_with_2d",
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"TestConv.test_asymmetric_padding",
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"TestConv.test_basic_grad_shapes",
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@@ -45,11 +71,11 @@ cuda_skip = {
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"TestConvTranspose.test_torch_conv_transpose_3D",
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"TestConvTranspose.test_torch_conv_transpose_3D_grad",
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"TestConvTranspose.test_torch_conv_transpose_3d_output_padding",
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"TestEinsum.test_attention",
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"TestEinsum.test_ellipses",
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"TestEinsum.test_opt_einsum_test_cases",
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"TestEval.test_multi_output_eval_during_transform",
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"TestExportImport.test_export_conv",
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"TestLayers.test_conv1d",
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"TestLayers.test_conv2d",
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"TestVmap.test_vmap_conv",
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# FFTs NYI
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"TestFFT.test_fft",
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"TestFFT.test_fft_big_powers_of_two",
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"TestFFT.test_fft_contiguity",
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@@ -59,52 +85,22 @@ cuda_skip = {
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"TestFFT.test_fft_large_numbers",
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"TestFFT.test_fft_shared_mem",
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"TestFFT.test_fftn",
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"TestInit.test_orthogonal",
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# Lapack ops NYI
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"TestLinalg.test_cholesky",
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"TestLinalg.test_cholesky_inv",
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"TestLinalg.test_eig",
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"TestLinalg.test_eigh",
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"TestLinalg.test_inverse",
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"TestVmap.test_vmap_inverse",
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"TestLinalg.test_lu",
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"TestLinalg.test_lu_factor",
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"TestLinalg.test_pseudo_inverse",
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"TestLinalg.test_qr_factorization",
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"TestInit.test_orthogonal",
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"TestLinalg.test_svd_decomposition",
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"TestVmap.test_vmap_svd",
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"TestLinalg.test_tri_inverse",
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"TestLoad.test_load_f8_e4m3",
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"TestLosses.test_binary_cross_entropy",
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"TestMemory.test_memory_info",
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"TestLayers.test_conv1d",
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"TestLayers.test_conv2d",
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"TestLayers.test_elu",
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"TestLayers.test_group_norm",
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"TestLayers.test_hard_shrink",
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"TestLayers.test_pooling",
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"TestLayers.test_quantized_embedding",
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"TestLayers.test_sin_pe",
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"TestLayers.test_softshrink",
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"TestLayers.test_upsample",
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"TestOps.test_argpartition",
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"TestOps.test_array_equal",
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"TestOps.test_as_strided",
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"TestOps.test_binary_ops",
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"TestOps.test_bitwise_grad",
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"TestOps.test_complex_ops",
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"TestOps.test_divmod",
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"TestOps.test_dynamic_slicing",
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"TestOps.test_hadamard",
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"TestOps.test_hadamard_grad_vmap",
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"TestOps.test_irregular_binary_ops",
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"TestOps.test_kron",
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"TestOps.test_log1p",
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"TestOps.test_logaddexp",
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"TestOps.test_logcumsumexp",
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"TestOps.test_partition",
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"TestOps.test_scans",
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"TestOps.test_softmax",
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"TestOps.test_sort",
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"TestOps.test_tensordot",
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"TestOps.test_tile",
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# Quantization NYI
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"TestQuantized.test_gather_matmul_grad",
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"TestQuantized.test_gather_qmm",
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"TestQuantized.test_gather_qmm_sorted",
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@@ -120,12 +116,4 @@ cuda_skip = {
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"TestQuantized.test_small_matrix",
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"TestQuantized.test_throw",
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"TestQuantized.test_vjp_scales_biases",
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"TestReduce.test_axis_permutation_sums",
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"TestReduce.test_dtypes",
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"TestReduce.test_expand_sums",
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"TestReduce.test_many_reduction_axes",
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"TestUpsample.test_torch_upsample",
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"TestVmap.test_vmap_conv",
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"TestVmap.test_vmap_inverse",
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"TestVmap.test_vmap_svd",
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}
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@@ -83,14 +83,14 @@ class TestLosses(mlx_tests.MLXTestCase):
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logits, targets, reduction="mean"
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)
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expected_mean = mx.mean(expected_none)
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self.assertEqual(losses_mean, expected_mean)
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self.assertTrue(mx.allclose(losses_mean, expected_mean))
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# Test with reduction 'sum'
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losses_sum = nn.losses.binary_cross_entropy(
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logits, targets, reduction="sum"
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)
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expected_sum = mx.sum(expected_none)
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self.assertEqual(losses_sum, expected_sum)
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self.assertTrue(mx.allclose(losses_sum, expected_sum))
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# With weights, no label smoothing
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weights = mx.array([1.0, 2.0, 1.0, 2.0])
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