docs/conf.py,sha256=2ngQ5z88aocGLzpcyttIndmigcM89AyVGTtcU2-_nE8,2066
docs/conf_new.py,sha256=vZa4URi3tLHUwJ5HfMnGqTGhyGpSYcL-xuccEiyijko,1920
docs/conf_old.py,sha256=IhAmcexlcJR_9fgwx_hb9bH4m8u2DLp4wsv8WmINQv8,3965
examples/add_one_custom.py,sha256=svwP5WgnE70soF75U_VG4t1bYh_YxhrymKUjgTbkvTY,1554
examples/conds_jit.py,sha256=EzesQp61b9PX56a9toG_JkLHJ6qYK5rq_sK5qdnBzHw,1502
examples/jvp_examples.py,sha256=uZk7iFLMLRc64ubmeGq7MQLAwF3NCtIeytD4uKagqSk,5907
examples/mlp_inference.py,sha256=OOhcMt2nSpscVgvP8-xQiG6PdYjeBESy2gq_wZo70KM,6746
examples/mlp_inference_jit.py,sha256=AQXcfm7c9Cy-fZUpceQ9oS6NRXI8hmOPCT2xcd7Hj-Q,6342
examples/mlp_train.py,sha256=BfxoUJMjmCrWUVrEBTwW6_7TwWZTiAXzTPSWfP6lM-c,12659
examples/mlp_train_jax.py,sha256=z611q-wKe67hh_hbOwTwttU4XdxvxUorCHG1wsCSyDE,12554
examples/mlp_train_jit.py,sha256=Bx-mOnBNVRki70g3aBK_s5aRw-uW1H-7ip-PeC1leuA,12615
examples/mlp_train_jit_jax.py,sha256=tZo0vvqWuAVK1gBO8ubnlXEo7AJ4C6I0MtT9r0DgIdc,14632
examples/plot_basic_operations.py,sha256=kR1ZZwEAuyhS3ce5vLHJ1MYvPjmMYXR42_3xrJ6aFX8,705
examples/vjp_examples.py,sha256=mMc62KwhMRiSx2AN9XSN-TWCZMJoqV9Ju3pPYNzYU1U,4939
examples/vmap_examples.py,sha256=by4idbSS7ScjZDIOUKn2o24ZObBboEmlT2lZMVKhefE,11281
nabla/__init__.py,sha256=ZKl_uSmxiRGC_BJ1MR-UGUx9WBPfyv6RC6pHXHPRTrk,3776
nabla/core/__init__.py,sha256=XLGhtjY0qYb9_wMQpX9y4a1UkySlAxfW_dp5UMqP26E,824
nabla/core/array.py,sha256=mmlLBCQ3fR7FG3UuTJXKD-1tR3rYN24N2ochLwmLIuY,11365
nabla/core/execution_context.py,sha256=8opmB6t63iEAFDOOQStBCe7IYdiShDLb_wAnLhz2eUg,3015
nabla/core/graph_execution.py,sha256=PlemG-yCHXwqY4opRVeFc_tLDu_AEFD5TK7Z4PeFp70,9700
nabla/core/trafos.py,sha256=9QKodXbCQuaexehl2tBpDBd-vJj7XOWJI3WNa38PG7I,81806
nabla/nn/__init__.py,sha256=K8kTwH0lPyhVD_iCXkpnaTRxysQHjgnh1ciC8iR46z8,721
nabla/nn/base.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/activations/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/activations/advanced.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/activations/basic.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/activations/parametric.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/architectures/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/architectures/mlp.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/architectures/resnet.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/architectures/rnn.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/architectures/transformer.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/init/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/init/constant.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/init/normal.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/init/uniform.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/init/variance_scaling.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/layers/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/layers/attention.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/layers/conv.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/layers/embedding.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/layers/linear.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/layers/normalization.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/layers/pooling.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/losses/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/losses/classification.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/losses/regression.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/losses/regularization.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/optim/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/optim/adam.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/optim/adamw.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/optim/base.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/optim/schedules.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/optim/sgd.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/utils/checkpointing.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/utils/metrics.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/utils/parameters.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/nn/utils/training.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla/ops/__init__.py,sha256=1buCVkQVNpygX4BNnJEkbHiW7Y9-cUTa8T_aayadIlI,823
nabla/ops/binary.py,sha256=qLgdJOYZXf36qegi4vuRGxwSAExjcwGJAk7Ap5UTg3I,8917
nabla/ops/conv_utils.py,sha256=rHqgL8Av37pvpX-BnQMECWLzuIsXFpLY9UNNAONrIRU,9027
nabla/ops/creation.py,sha256=FLWd5AWWqYGn7k9NmohvMBeoDCfT-PD_vlPCtDJl-VQ,14072
nabla/ops/linalg.py,sha256=m3bWSAoa8onp5M9Z1zrlgxHYd2ZP6wXSAqrdLMiejzg,59472
nabla/ops/operation.py,sha256=zy0xVHSvybuEOwswYEElJ_t0I3iaojruGqcgYU_EuJw,10452
nabla/ops/reduce.py,sha256=i5Q3BRlTMoyUO6xSXwV8VT4J9m4JavtBsrlxqYRk4YA,8934
nabla/ops/unary.py,sha256=NicCaWKdsTCJWg-xyu-72x-WiDCkGgR1yb9JHcuxBAk,13681
nabla/ops/view.py,sha256=yZdRacMeS7IZBzF5q3S8lGGJk-onj04-FbfogLay1ew,70532
nabla/ops/kernels/__init__.mojo,sha256=MnIP3P7sbcTP_0dtMvz6wnVBTWdTYtyXQ0QNkSQN2Ug,720
nabla/utils/__init__.py,sha256=K8kTwH0lPyhVD_iCXkpnaTRxysQHjgnh1ciC8iR46z8,721
nabla/utils/broadcasting.py,sha256=bqCp-uL31AYeZ1HLUfjhxmnlDUcn4Wg56kmkeRqVuAo,3602
nabla/utils/formatting.py,sha256=ZRVk0muGi9nxPqGhCsPgxuepfiS_xNodrGUbolV3q8Q,2387
nabla/utils/max_interop.py,sha256=dyAXVAc3mNxeV0E5Y0DBI77-XOmIi9FKXwIrQt1KM20,2509
nabla/utils/testing.py,sha256=xDU3A1hlPMh3MHqgOcjKYTyzHJuQO4FtQkLZvbPjoT0,2202
nabla/utils/types.py,sha256=S-uLTGrzHwLe29Ze7XtXHeGuGLiyfcMvKvQSk6WVvy0,1667
scripts/generate_api_docs.py,sha256=YZhGqBXBDSEy6oDM2qTl-4wghZY_Au2DIoN3_nXr7Do,32488
scripts/release.py,sha256=LW_dsUsFFjSwj2xDDSobxBsKBLTMOmbrR3AYoW-im0I,12281
scripts/update_docs.py,sha256=T9k7Xnq430by3_EWHl7EYBfnb4DLRW8rzoVCvZ5UhOg,2526
scripts/yank_old_releases.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
nabla_ml-25.6091347.dist-info/METADATA,sha256=05f1F-zpNUfwJemuUlh7RdIhUFyf8iGsuHDaTDZ3R0g,3758
nabla_ml-25.6091347.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
nabla_ml-25.6091347.dist-info/top_level.txt,sha256=L7IBldZpQ30gqKm2gWgJNF0nWaEm4wdChS_5CCD3Xz0,28
nabla_ml-25.6091347.dist-info/RECORD,,
