863a9dcee691e850e79d97a16abb977e24324fa1,tests/convolution_test.py,ConvTest,test_3d_conv_default_shape,#ConvTest#,22

Before Change

    // 3d tests
    def test_3d_conv_default_shape(self):
        x_3d = self.get_3d_input()
        conv_3d = ConvLayer(10, 3, 1)
        conv_3d_out = conv_3d(x_3d)
        print(conv_3d)
        with self.test_session() as sess:
            sess.run(tf.global_variables_initializer())
            out_3d = sess.run(conv_3d_out)
            self.assertAllClose((2, 16, 16, 16, 10), out_3d.shape)

    def test_3d_conv_bias_shape(self):
        x_3d = self.get_3d_input()
        conv_3d = ConvLayer(10, 3, 1, with_bias=True)
        conv_3d_out = conv_3d(x_3d)

After Change

    // 3d tests
    def test_3d_conv_default_shape(self):
        input_param = {"n_output_chns": 10,
                       "kernel_size": 3,
                       "stride": 1}
        self._test_conv_output_shape(rank=3,
                                     param_dict=input_param,
                                     output_shape=(2, 16, 16, 16, 10))

    def test_3d_conv_full_kernel_size(self):
        input_param = {"n_output_chns": 10,
                       "kernel_size": [3, 3, 1],

Instances