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70560b6bd5
* add mode parameter for quantization * mxfp4 quantize/dequantize + start of optional biases * mxfp4 works * speedup * cpu mxfp4 * fix * fix test tol * fix * refactor * add quant mode enum
60 lines
1.9 KiB
Python
60 lines
1.9 KiB
Python
cuda_skip = {
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"TestLoad.test_load_f8_e4m3",
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"TestLayers.test_quantized_embedding",
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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_gather_mm_sorted",
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# Segmented matmul NYI
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"TestBlas.test_segmented_mm",
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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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# 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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"TestFFT.test_fft_exhaustive",
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"TestFFT.test_fft_grads",
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"TestFFT.test_fft_into_ifft",
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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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# 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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# 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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"TestQuantized.test_gather_qmm_grad",
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"TestQuantized.test_non_multiples",
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"TestQuantized.test_qmm",
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"TestQuantized.test_qmm_jvp",
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"TestQuantized.test_qmm_shapes",
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"TestQuantized.test_qmm_vjp",
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"TestQuantized.test_qmv",
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"TestQuantized.test_mxfp4_qmv",
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"TestQuantized.test_mxfp4_qvm",
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"TestQuantized.test_qvm",
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"TestQuantized.test_qvm_splitk",
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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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"TestExportImport.test_export_quantized_model",
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}
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