poisson_CNN/__init__.py,sha256=j55sbbtnJEJyJl5HXhB2swae19tEDkiC6DAz81bPbTo,152
poisson_CNN/blocks/__init__.py,sha256=_1GHXhNTNC2Y4kcCmpwKq-pBPILDepp85I7HWiGG3NM,372
poisson_CNN/blocks/bottleneck_block.py,sha256=ww92W_5mzq3DngiHWW0A56nAZvPPKNJd3aJHt8EzYuc,9622
poisson_CNN/blocks/metalearning_bottleneck_block.py,sha256=70cnZL8slWINxX01ZK21ML9hZ6kz2gfrU_aa9NbB-wk,17100
poisson_CNN/blocks/metalearning_resnet.py,sha256=5b5pSDu1SE0Whxa8gzWZ2CX43c5JKbA6_Scm4zd13zU,1747
poisson_CNN/blocks/resnet.py,sha256=rgmj-8U6AanImmMsxYvgbspCuVIBF2LhkGLH1ZmAxEQ,2081
poisson_CNN/blocks/subdomain_spp_block.py,sha256=k_gDwJcNJ_9-3MmWPrCdh_UhTgML3msitSaCN2NmjFg,3713
poisson_CNN/dataset/__init__.py,sha256=pym1jGZiqGkDFb88wRezazQ4kuJeMTlgmx0hb6UFhfo,70
poisson_CNN/dataset/generators/__init__.py,sha256=2ZiObUjULjc8eoAKWdOGBebEm3o4hGtz1LucSA0NoS0,382
poisson_CNN/dataset/generators/analytical.py,sha256=Ox1pk-f6tkagsoXJEn4X2-ORmSs3Hml1O_oMUTu-wF0,14732
poisson_CNN/dataset/generators/numerical.py,sha256=-m4_XIKwz2Lh5GFR7c3QjsiRjjQtIsyMCRc120TOfQw,15625
poisson_CNN/dataset/generators/reverse.py,sha256=L1WlkQcCnQ9IReLEWHO1ZzOBAHegYNxKgpAnKz-9Hcw,20826
poisson_CNN/dataset/generators/reverse_neumann.py,sha256=V0Y9zAXd2s4s53qlUy-tuwGpqA7rbk1Im5YvS5RexGk,4500
poisson_CNN/dataset/solvers/__init__.py,sha256=6QJdgPRhHJwLmAgD3iqrLNu-rTikU7eCCTGyqbQ0Ldk,105
poisson_CNN/dataset/solvers/cholesky.py,sha256=v0CTLC_23b_EJC-WbGPIPflhxGxfjcNxKfH8KJsFe-I,6788
poisson_CNN/dataset/solvers/multigrid.py,sha256=E-obFgeWVoi4hnN80sV75zS9rw6Ei6QajHioGeIiiDw,6625
poisson_CNN/dataset/utils/__init__.py,sha256=qzOPKeMReYodaJQ-nooIjlHiJOqYS5SDB2wCctrOUB8,976
poisson_CNN/dataset/utils/assign_to_tensor_index.py,sha256=sKHO5RCQFe4ira5lnLyFSxRZ0ywUQqkg9GpK3dwD6s4,1097
poisson_CNN/dataset/utils/build_fd_coefficients.py,sha256=N9xn6TwpxGeAv67lTxp5KBpxgWpHjk7KKQ98boUBjvg,2092
poisson_CNN/dataset/utils/compute_domain_sizes.py,sha256=xigr6sNxk-Ga77rB_EpN03AdLQdmqOmxR9RXUVPGCRE,193
poisson_CNN/dataset/utils/equal_split_tensor_slice.py,sha256=_MxFOSpmQmxbvm_o7p8yKdY9gxaQImcjoVHv3v4NE-s,3162
poisson_CNN/dataset/utils/flip_and_rotate_tensor.py,sha256=h_Tm7Vr5c0Qokm_OQPEZAgfT6LBxCSxsqVF9TtqNHjY,4498
poisson_CNN/dataset/utils/generate_output_shapes_and_grid_spacings_from_aspect_ratios.py,sha256=DtmMaP1YxqbGuDHp9brGo0mL9a33jqTXRz3LX_ArjXM,3513
poisson_CNN/dataset/utils/generate_smooth_function.py,sha256=8Z2oXmzfGPvd2m2LARoZ-kSvHd0iwe2IeY1zdCQz4jA,5005
poisson_CNN/dataset/utils/generate_uniformly_distributed_aspect_ratios.py,sha256=UuY-GZWcXYwUprClbjvjgFhWgDTSDJeIVqpE0iATL3U,4838
poisson_CNN/dataset/utils/get_fd_coefficients.py,sha256=BVDd6A5wzVH05J1KZk_jJmY3AnoZ_EmeBoNtWDN4VQg,1050
poisson_CNN/dataset/utils/image_resize.py,sha256=R8rW_vspgS5HHFMPAnmRA1ONuD7_J9gG1_4-MKI4x8U,1274
poisson_CNN/dataset/utils/poisson_lhs_matrix.py,sha256=tWJo1LlF1DDeSBggPvI9uv72P6AXAtXY6VSp5cAheCU,14396
poisson_CNN/dataset/utils/set_max_magnitude.py,sha256=yQXkxxJYMBbKzjJNm6cmRVZAppX5VQEi7n82QgzOVgI,1851
poisson_CNN/dataset/utils/slice_tf.py,sha256=qqoTnPDW8IauAcN99WvRLLVqxJ5x3ssm0P-kMEigKdw,193
poisson_CNN/dataset/utils/split_indices.py,sha256=h5DREP41MTNHChpp1vze5NSSFwCjviFtb0BMkj-N0n4,1170
poisson_CNN/layers/JacobiIterationLayer.py,sha256=mlCHhoftBxIZ5bV0rqqrRFPsU1OrTd9jZ4UgU1xndUw,3969
poisson_CNN/layers/MergeWithAttention.py,sha256=EwIQVx0xNdrCSrfCgbvAN8Zi-hdtarL7KTVYolM2cR0,2059
poisson_CNN/layers/Scaling.py,sha256=SnpuYvYTwWFgZIzo3Yw3abQ-L4JOZUIfTUqVFjrYnG0,2929
poisson_CNN/layers/SpatialPyramidPool.py,sha256=gPr1VGvGBEQ64SbABcV0C_-DGaddYi4LTDEOsadoz9M,3930
poisson_CNN/layers/Upsample.py,sha256=UGnNJ9rRmFA-ZLT2_HNkGbjY8H5JN6tOHq_lelsGVlU,3009
poisson_CNN/layers/WeightedContractionLayer.py,sha256=gw6KneR1oKe8MM7Ec4_EzoyOVjsbZegp7CSrUVMhpRA,5286
poisson_CNN/layers/__init__.py,sha256=x4OGgsyEMPYEzR0ycot9W9wSOhH1cu7iugo3wzdzr7E,437
poisson_CNN/layers/deconvupscale.py,sha256=micKMTiVkjhRWuEBDzDniTPf6EAlO_ZWZ-yxxrfvA68,6668
poisson_CNN/layers/metalearning_conv.py,sha256=2o_Nv28aG0IbO-yNITp91dKEMrsSGQyXfCCoqk68KDY,10136
poisson_CNN/layers/metalearning_deconvupscale.py,sha256=s5XfT-XWu5rzL92F6-U9iw1CvTf1szRz2-XDjuG3nmQ,8432
poisson_CNN/losses/__init__.py,sha256=7zslNS1m8KUYOhb4Lxv360JtTbrSwHkdUVTT0AEed2s,136
poisson_CNN/losses/integral_loss.py,sha256=2JJrFuAb0ivlfPzQtZ_MBVzImOe3qiMpxej6_feCdV4,12669
poisson_CNN/losses/loss_wrapper.py,sha256=4U1glc8P1Mtj0sIfNXpYqEF5mF86UyG4MH3nDqmD9o0,5619
poisson_CNN/losses/physics_informed_loss.py,sha256=87Ilj84gl6AdDhAEyQb7NL0Cyr7MB9f76iLL-Q2iVYQ,3740
poisson_CNN/misc/Boundary.py,sha256=cenXyN4LZ57mL1KYbmMeZkFmYTbaLuAb3hg8EVr07E8,8575
poisson_CNN/misc/__init__.py,sha256=zmA9aSkpmHuDFgtPYA3pr79BwGojT-gsfBTEO_eRWOU,34
poisson_CNN/misc/conv_laplacian_loss.py,sha256=3_7sxdbCA1BJqzkwril12bwqJpLseqZRUZD1v1KIP2E,7191
poisson_CNN/models/Dirichlet_BC_NN_Legacy.py,sha256=i2ckW6JpH7b2cbvPazxFis6RxAWDHs1ricDqdho5pOo,13232
poisson_CNN/models/Dirichlet_BC_NN_Metalearning.py,sha256=0U5E95bTPsa07BJ3nfXOTa5VJoCbORXsDVKtsYGfWtM,13023
poisson_CNN/models/Dirichlet_BC_RNN.py,sha256=BXQgz9oDbToy4cEFhOEaKs4e_aZABSifAB98tdc2OQY,3125
poisson_CNN/models/Homogeneous_Poisson_NN.py,sha256=8NcRzva58u6q4nc1WHh1sReOsAPZ70H2Tc2PI3zcZFI,16824
poisson_CNN/models/Homogeneous_Poisson_NN_Autoencoder.py,sha256=kV1_k7sc_9AsGtJA4c9M9QA5IZKuuzsqfIa6fMBzg-I,9107
poisson_CNN/models/Homogeneous_Poisson_NN_Legacy.py,sha256=ctqX86p-24eNjg3m0ZrLMVaU8aoDP2l7pRU5v6ffjaI,34853
poisson_CNN/models/Homogeneous_Poisson_NN_Metalearning.py,sha256=7Lh-55b2vRr9T5_iEpSNrn232MYGpf1Xp2RMUz7mlDQ,20733
poisson_CNN/models/Homogeneous_Poisson_NN_nometaconv.py,sha256=jzpO8BLcP9m9GfG8ulbdFOaZUDLWczhOAc_pGhr65rQ,36
poisson_CNN/models/Poisson_CNN_Legacy.py,sha256=eNpJh0aTSWx0yxWJw2mGmvywjIrCyLkIAfOm5_Q3f1o,3733
poisson_CNN/models/UNet.py,sha256=T2Q_bZTz2n09xK7_rwovXZ1uSWMOZN1KX21JOeJAbxk,12541
poisson_CNN/models/__init__.py,sha256=7gae5SoVmJ34eHfLXFAef6rlWE2ta0gKFYoiY8HGQBw,599
poisson_CNN/models/pix2pix.py,sha256=phIQwgGC0Jl0Eyzeq_AHuD07FbvCx1RQTT4SUqnCSYY,4209
poisson_CNN/models/legacy/Dirichlet_BC_NN.py,sha256=wpWqb2tVzroRk-m8VuBCx_Dz447AzqwtPEBZn3H6Myo,11424
poisson_CNN/models/legacy/Dirichlet_BC_NN_Series.py,sha256=r2DBFCRl9myonMvOH_yiQq2Y2r9VGNFQxruTxokwEk4,8650
poisson_CNN/models/legacy/Homogeneous_Poisson_NN.py,sha256=kEfZPCnTak_RFdpOsHPOzgTu9jdH9QC0h4SeS4PqIpE,33158
poisson_CNN/models/legacy/Model_With_Integral_Loss.py,sha256=MXhp6QEZJglK1zRyiQ25tRfpkiVHNNBAmrCFSJA7XZc,7803
poisson_CNN/models/legacy/Poisson_CNN.py,sha256=HkCfxwI9Vf-NbkPyXflwjtI80UFE7m8R24o_VpGiba4,18021
poisson_CNN/models/legacy/Poisson_GAN.py,sha256=EH8HOAIXUfeHDXLIZj_4OP4mbu4f3ZX4iq317YH4U5Y,6381
poisson_CNN/models/legacy/__init__.py,sha256=JY90srrdJIhqBI_Wc1nu_dKdUV1aVxaiHPSSCW8EZcs,194
poisson_CNN/models/legacy/custom_blocks.py,sha256=OVppcl9u7-AX1pr5nqfBc7QAIeq97dHBq-944bLOd2k,7598
poisson_CNN/utils/__init__.py,sha256=DAGboa06zr1rpTc72TBaGrjhapt1UqrHzACkcblSnHE,509
poisson_CNN/utils/apply_advanced_padding_and_call_conv_layer.py,sha256=Z5iHZ_lwwTcCMmySQV06vpUJXLUtcvlT0rrtxUZ-LnE,897
poisson_CNN/utils/check_batchnorm_fused_enable.py,sha256=GVigRz8uvmE8Gz_H9INFtVXM8nN4dOyknk7pbg8FRUM,370
poisson_CNN/utils/choose_conv_layer.py,sha256=5eAo7lsK-p0KoRWIjlYgBpoQyKE6nRQQOL3DJ4qrmhc,206
poisson_CNN/utils/convert_keras_dataformat_to_tf.py,sha256=cxR5YqjRlafcShGN1PeiEiiZGOrygcBydFMKNV58fH8,290
poisson_CNN/utils/convert_tf_object_names.py,sha256=KdccNUPRArf3j1_ldYEJRUGT3ETTFJc5xKsaAKEOgEU,1090
poisson_CNN/utils/get_peak_magnitudes_in_each_sample.py,sha256=C9rmIEu4ToI9RRlB-zg3hgP688rkFQryVygAaKYDy-c,353
poisson_CNN/utils/get_pooling_method.py,sha256=YU8mIkm8DG9ci_w3tU3IpVun3xsrQDdprZN1HNUZpJk,326
poisson_CNN-0.3.0.dist-info/LICENSE,sha256=gXf5dRMhNSbfLPYYTY_5hsZ1r7UU1OaKQEAQUhuIBkM,18092
poisson_CNN-0.3.0.dist-info/METADATA,sha256=PJ8swEkA_9VXdHaUzFZIQCoZubCkTIcqrffm0rhudIU,1613
poisson_CNN-0.3.0.dist-info/WHEEL,sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA,92
poisson_CNN-0.3.0.dist-info/top_level.txt,sha256=_kFxnrM8MLl29i9apZNMZ3BlcfaLTeEYtatNRRBjwxI,12
poisson_CNN-0.3.0.dist-info/RECORD,,
