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{".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_GRE", "name": "IPPROTO_GRE", "type": "builtins.int"}}, "IPPROTO_HELLO": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_HELLO", "name": "IPPROTO_HELLO", "type": "builtins.int"}}, "IPPROTO_HOPOPTS": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_HOPOPTS", "name": "IPPROTO_HOPOPTS", "type": "builtins.int"}}, "IPPROTO_ICMP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_ICMP", "name": "IPPROTO_ICMP", "type": "builtins.int"}}, "IPPROTO_ICMPV6": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_ICMPV6", "name": "IPPROTO_ICMPV6", "type": "builtins.int"}}, "IPPROTO_IDP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_IDP", "name": "IPPROTO_IDP", "type": "builtins.int"}}, "IPPROTO_IGMP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_IGMP", "name": "IPPROTO_IGMP", "type": "builtins.int"}}, "IPPROTO_IP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_IP", "name": "IPPROTO_IP", "type": "builtins.int"}}, "IPPROTO_IPCOMP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_IPCOMP", "name": "IPPROTO_IPCOMP", "type": "builtins.int"}}, "IPPROTO_IPIP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_IPIP", "name": "IPPROTO_IPIP", "type": "builtins.int"}}, "IPPROTO_IPV4": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_IPV4", "name": "IPPROTO_IPV4", "type": "builtins.int"}}, "IPPROTO_IPV6": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_IPV6", "name": "IPPROTO_IPV6", "type": "builtins.int"}}, "IPPROTO_MAX": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_MAX", "name": "IPPROTO_MAX", "type": "builtins.int"}}, "IPPROTO_MOBILE": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_MOBILE", "name": "IPPROTO_MOBILE", "type": "builtins.int"}}, "IPPROTO_ND": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_ND", "name": "IPPROTO_ND", "type": "builtins.int"}}, "IPPROTO_NONE": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_NONE", "name": "IPPROTO_NONE", "type": "builtins.int"}}, "IPPROTO_PIM": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_PIM", "name": "IPPROTO_PIM", "type": "builtins.int"}}, "IPPROTO_PUP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_PUP", "name": "IPPROTO_PUP", "type": "builtins.int"}}, "IPPROTO_RAW": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_RAW", "name": "IPPROTO_RAW", "type": "builtins.int"}}, "IPPROTO_ROUTING": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": "socket.IPPROTO_ROUTING", "name": "IPPROTO_ROUTING", "type": "builtins.int"}}, "IPPROTO_RSVP": {".class": "SymbolTableNode", "kind": "Gdef", "node": {".class": "Var", "flags": ["is_ready"], "fullname": 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b/deepchem/models/losses.py index dddd82a28b5d4699f1e807f8859c0d0ab450c92c..28ef29413cdc21002e1c741bc818f074f7b1df8f 100644 --- a/deepchem/models/losses.py +++ b/deepchem/models/losses.py @@ -40,6 +40,16 @@ class L1Loss(Loss): import torch return torch.nn.L1Loss(reduction='none') +class HuberLoss(Loss): + """Modified version of L1 Loss, also known as Smooth L1 loss. Less sensitive to small errors, linear for larger errors.""" + def _compute_tf_loss(self, output, labels): + import tensorflow as tf + output, labels = _make_tf_shapes_consistent(output, labels) + return tf.keras.losses.Huber(reduction='none')(output, labels) + + def _create_pytorch_loss(self): + import torch + return torch.nn.SmoothL1Loss(reduction='none') class L2Loss(Loss): """The squared difference between the true and predicted values.""" @@ -280,7 +290,7 @@ class VAE_KLDivergence(Loss): """The KL_divergence between hidden distribution and normal distribution. This loss represents KL divergence losses between normal distribution(using parameter of distribution) - based on _[1]. + based on _[1].z The logvar should have shape (batch_size, hidden_space) and each term represents standard deviation of hidden distribution. The mean shuold have