sparse_deferred/__init__.py,sha256=m4aphhHnVUsUkdKJxsK-6Eu5xNYxL3cEI8QqtqbNTWA,1083
sparse_deferred/algorithms/__init__.py,sha256=1LIq8ekyzpQR_URFpfYSLZgp-hwiE3hSNMjOoPeuGfw,998
sparse_deferred/algorithms/auto_hop.py,sha256=S351rv-mmbKhOQzee8SCz5_G9L1I1Sm98UDvVfS-h_Y,2147
sparse_deferred/algorithms/auto_hop_test.py,sha256=dP3g72hXerqffYPoEkkD6_39Oj5GdNW1sbmDZVlNvWk,2701
sparse_deferred/algorithms/svd.py,sha256=ujoEnheVvQi-YJX3BvAnKaXFdTK7dO2XQk8Uc-tr6A4,3477
sparse_deferred/algorithms/svd_test.py,sha256=92audc7zS0W9-aO7JQG75BthRQu3CrLXDWPv_T2MhF0,1949
sparse_deferred/algorithms/topological_sort.py,sha256=i42WeXSFMaGsgQjRdq0ykRbsE4zf07uNMy7oOMtlu8c,2789
sparse_deferred/algorithms/topological_sort_test.py,sha256=DtUGqsymKzkAO-XbfWm56-ULGsoi2XVGEdwFjymtdTM,3233
sparse_deferred/algorithms/traversal.py,sha256=Ij0Y3NH7ERZYvDw-XvIMSn6VX07Ssk0voxeOkc8Wpe4,2917
sparse_deferred/algorithms/traversal_test.py,sha256=U6UmlRkEm_kxmC6uZurKcMeHQjRqUya0T6rbFj6-rr4,4381
sparse_deferred/algorithms/virtualize.py,sha256=XKPgFmHXbtp51FfZiKXP4h6IzSuqqykBRhQx2uJWd9E,3583
sparse_deferred/algorithms/virtualize_test.py,sha256=SBt3LXLQbtwJMEfjLy5LHRWwZnFjMxy_WwOjwEplk6U,3023
sparse_deferred/examples/cora_jax.py,sha256=Eo5g3BwcumWO5ARhSsJ2jW1j7k0RrLB8-wUGk5VEMtE,3780
sparse_deferred/examples/data.py,sha256=iIr3h5WN62f3pn1PmLjtSz-UMpdt1kiowbQSrHzElXc,8716
sparse_deferred/examples/malnet_gnn.py,sha256=kfWqz1QxN5PaJeSs6GCHjLnMr7yOv_zy3TE2p09j2yE,9701
sparse_deferred/examples/malnet_nn.py,sha256=DeQMC4ACQv9XEgT2PocyR7SD7j0ncaa0MqlXtiWrrME,10307
sparse_deferred/examples/models.py,sha256=moeaksWunSNUhd4DNV4rxn74wcOPS62-heFVu5NN7bg,4810
sparse_deferred/gnn/__init__.py,sha256=oGGdQqYO7y-SFW26Or3rIR7myG7sQ95Bd73CIRYRPiQ,608
sparse_deferred/gnn/heterogeneous_gnn.py,sha256=b5JrSDkXr0s2_ES4Jq2OFeGIRRZnPs1qd5ZRQaD7zhU,6451
sparse_deferred/gnn/heterogeneous_gnn_test.py,sha256=13H6RKQcgwui5z-1eKJGwkIfoPh2V7_qALxmCrdmlwY,2303
sparse_deferred/implicit/matrix.py,sha256=96AfqMTFUVkZOYxMcd7RuI82Yl9rJEosuRt04XPFLjE,16302
sparse_deferred/implicit/matrix_test.py,sha256=akfgCVPthPAAXqvPxDBNCqM8tHdKfe_Op2M2HjUk5yE,3266
sparse_deferred/jax/__init__.py,sha256=_br-qhMyxlosk5jQhoBehnNP3QFHqcJmeo3q2dnBEKA,5413
sparse_deferred/jax/jax_test.py,sha256=9ZOmD-fHOP6n1KhjyMny0o4x0ZoYtSUbUSOBxTPDAVE,1397
sparse_deferred/nn/edges.py,sha256=KD3Kr0EKgrganxqbFzlCmu3kZFdap_cS5iqP9yvCUfA,9019
sparse_deferred/nn/edges_test.py,sha256=Ra0wO4tKBhbeLem1olhFgNgJmXcvfdF94WjgH_EjIJI,5329
sparse_deferred/np/__init__.py,sha256=ZN0RQY7EzZEOkfasop-kwyAxPsnfsO_023aAJTFGkZ4,5471
sparse_deferred/np/np_test.py,sha256=EO8vOqxyzhX_FkCNLKjWieg_txCyJyeycVEiCK7RDjo,1366
sparse_deferred/structs/graph_struct.py,sha256=30AkLDBh7vapDxFGPbo0xLqMibSO4POJNjhdN2q4RQw,45075
sparse_deferred/structs/graph_struct_test.py,sha256=hiI5PL4DBBrAC2fDeoiDyp51Cz8WSczN314kHQPAAbQ,29408
sparse_deferred/tf/__init__.py,sha256=3h5rD8NR37Nsv9aDfeZs7HQ4eXDE4gVFRaEL5XwDSaU,964
sparse_deferred/tf/graph.py,sha256=IuKF3xs3Tma-CCZxN580vZrvhJLuI4sFXLL_K5d6OLQ,2370
sparse_deferred/tf/tf_engine.py,sha256=Ux5wUgsvi6kjCWvVrwC1WWhdeog5jMMylPpg_ytxoEs,4974
sparse_deferred/tf/tf_engine_test.py,sha256=aNvsiQBx8COD1gx-oC2zq3-wo4jebI9y1zzzPtHNUdU,1483
sparse_deferred/tf/tf_matrix.py,sha256=Fb1pu65XCUxfh4rvpTgoN81bqudxai2zOLUlO34Aacg,3280
sparse_deferred/tfgnn/__init__.py,sha256=fgd3RMSpusJaQrTLvuO3D55agrqWfAuh2ce6sCtKA5Q,953
sparse_deferred/tfgnn/io.py,sha256=Crlz6zQuODHE4oesmrnqkIomsBEdJjxVt7LBwdMTvZ4,17113
sparse_deferred/tfgnn/io_test.py,sha256=zHPFlLmIgIPzdsOf6tYnLKIb0Yy5cVICof4ITkgJSTk,9734
sparse_deferred-1.0.0.dist-info/METADATA,sha256=MwaA2vyzw5Zgxf8Cgj2iJBtiq3C98mm108vwsoJAg7s,5741
sparse_deferred-1.0.0.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
sparse_deferred-1.0.0.dist-info/top_level.txt,sha256=ly6Mnu1kK_0jxJeMG1cMgJwkWcjWI9oBVOsPT9YEdV8,16
sparse_deferred-1.0.0.dist-info/RECORD,,
