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new implementation of prelu #7

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new implementation of prelu #7

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27 changes: 27 additions & 0 deletions nobuco/node_converters/activation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,11 +9,16 @@
import torch.nn.functional as F
from torch import nn

from tensorflow.python.framework.ops import disable_eager_execution

from nobuco.commons import ChannelOrder, ChannelOrderingStrategy
from nobuco.converters.channel_ordering import set_channel_order, get_channel_order
from nobuco.converters.node_converter import converter
from nobuco.converters.tensor import dim_pytorch2keras

def prelu(x, weight):
x = tf.math.maximum(0, x) + weight * tf.math.minimum(0, x)
return x

def hard_sigmoid_pytorch_compatible(x):
x = tf.clip_by_value(x/6 + 1/2, clip_value_min=0, clip_value_max=1)
Expand Down Expand Up @@ -63,6 +68,28 @@ def func(input):
return func


# # please help me
# @converter(nn.PReLU, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
# def converter_PReLU(self, input: Tensor):
# return keras.layers.PReLU()


@converter(F.prelu, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
def converter_prelu(input: Tensor, alpha: float = 0.0, inplace: bool = False):
def func(input, alpha=0.0, inplace=False):
# return keras.layers.PReLU(tf.initializers.constant(alpha))(input) # please help me
return keras.layers.PReLU(tf.initializers.constant(0))(input)
return func


@converter(torch.prelu, torch.Tensor.prelu, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
def converter_prelu(input: Tensor, alpha: float = 0.0, inplace: bool = False):
def func(input, alpha=0.0, inplace=False):
# return keras.layers.PReLU(tf.initializers.constant(alpha))(input) # please help me
return keras.layers.PReLU(tf.initializers.constant(0))(input)
return func


@converter(nn.LeakyReLU, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
def converter_LeakyRelu(self, input: Tensor):
return keras.layers.LeakyReLU(alpha=self.negative_slope)
Expand Down
4 changes: 2 additions & 2 deletions nobuco/node_converters/math.py
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Original file line number Diff line number Diff line change
Expand Up @@ -59,13 +59,13 @@ def func(input, dim, keepdim=False, *, dtype=None, out=None):
return out
return func

@converter(torch.sin, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
@converter(torch.sin, torch.Tensor.sin, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
def converter_sin(input, *args, **kwargs):
def func(input, *args, **kwargs):
return tf.math.sin(input)
return func

@converter(torch.cos, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
@converter(torch.cos, torch.Tensor.cos, channel_ordering_strategy=ChannelOrderingStrategy.MINIMUM_TRANSPOSITIONS)
def converter_cos(input, *args, **kwargs):
def func(input, *args, **kwargs):
return tf.math.cos(input)
Expand Down