diff --git a/model/attention/SimAM.py b/model/attention/SimAM.py
deleted file mode 100644
index 6065501..0000000
--- a/model/attention/SimAM.py
+++ /dev/null
@@ -1,29 +0,0 @@
-"""
-MindSpore implementation of 'SimAM'
-Refer to "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks"
-"""
-import mindspore as ms
-from mindspore import nn
-
-
-class SimAM(nn.Cell):
-    """ SimAM """
-    def __init__(self, e_lambda=1e-4):
-        super().__init__()
-        self.activation = nn.Sigmoid()
-        self.e_lambda = e_lambda
-
-    def construct(self, x):
-        _, _, H, W = x.shape
-        n = W * H - 1
-
-        x_minus_mu_square = (x - x.mean(axis=(2, 3), keep_dims=True)).pow(2)
-        y = x_minus_mu_square / (4 * x_minus_mu_square.sum(axis=(2, 3), keepdims=True) / n + self.e_lambda) + 0.5
-        return x * self.activation(y)
-
-
-if __name__ == '__main__':
-    dummy_input = ms.ops.randn(3, 64, 7, 7)
-    model = SimAM(64)
-    outputs = model(dummy_input)
-    print(outputs.shape)