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Stricter check on pool_type for adaptive pooling module. Fix #2159
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@ -134,6 +134,7 @@ class SelectAdaptivePool2d(nn.Module):
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super(SelectAdaptivePool2d, self).__init__()
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assert input_fmt in ('NCHW', 'NHWC')
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self.pool_type = pool_type or '' # convert other falsy values to empty string for consistent TS typing
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pool_type = pool_type.lower()
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if not pool_type:
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self.pool = nn.Identity() # pass through
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self.flatten = nn.Flatten(1) if flatten else nn.Identity()
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@ -145,8 +146,10 @@ class SelectAdaptivePool2d(nn.Module):
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self.pool = FastAdaptiveAvgMaxPool(flatten, input_fmt=input_fmt)
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elif pool_type.endswith('max'):
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self.pool = FastAdaptiveMaxPool(flatten, input_fmt=input_fmt)
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else:
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elif pool_type == 'fast' or pool_type.endswith('avg'):
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self.pool = FastAdaptiveAvgPool(flatten, input_fmt=input_fmt)
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else:
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assert False, 'Invalid pool type: %s' % pool_type
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self.flatten = nn.Identity()
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else:
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assert input_fmt == 'NCHW'
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@ -156,8 +159,10 @@ class SelectAdaptivePool2d(nn.Module):
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self.pool = AdaptiveCatAvgMaxPool2d(output_size)
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elif pool_type == 'max':
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self.pool = nn.AdaptiveMaxPool2d(output_size)
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else:
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elif pool_type == 'avg':
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self.pool = nn.AdaptiveAvgPool2d(output_size)
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else:
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assert False, 'Invalid pool type: %s' % pool_type
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self.flatten = nn.Flatten(1) if flatten else nn.Identity()
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def is_identity(self):
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