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pytorch
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Complexity
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Issues
A
torch\nn\modules\normalization.py
22 1 3
A
torch\nn\modules\loss.py
52 1 3
A
caffe2\operators\lengths_reducer_ops.h
67 1 3
A
caffe2\operators\lengths_reducer_fused_nbit_rowwise_ops.cc
0 1 3
A
torch\jit\_script.py
205 1 3
A
caffe2\sgd\adam_op.h
68 1 3
A
torch\fx\operator_schemas.py
88 1 3
A
torch\fx\_symbolic_trace.py
110 1 3
A
caffe2\quantization\server\fully_connected_dnnlowp_acc16_op_test.py
26 1 3
A
caffe2\quantization\server\pool_dnnlowp_op_avx2.cc
47 1 3
A
torch\distributed\rpc\backend_registry.py
63 1 3
A
torch\distributed\fsdp\_unshard_param_utils.py
46 1 3
A
caffe2\operators\batch_matmul_op.h
40 1 3
A
caffe2\mobile\contrib\nnapi\nnapi.cc
119 1 3
A
caffe2\mobile\contrib\nnapi\nnapi_benchmark.cc
31 1 3
A
caffe2\quantization\server\activation_distribution_observer.cc
169 1 3
A
caffe2\contrib\fakelowp\batch_matmul_fp16_fake_op.h
38 1 3
A
torch\distributed\checkpoint\optimizer.py
39 1 3
A
caffe2\image\image_input_op.h
190 1 3
A
torch\distributed\checkpoint\planner_helpers.py
32 1 3