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/external/tensorflow/tensorflow/python/distribute/
Ddistribute_lib_test.py327 x_r = dist.reduce(reduce_util.ReduceOp.MEAN, x, axis=None)
328 self.assertEqual(self.evaluate(x), self.evaluate(x_r))
335 x_r = dist.reduce(op, x, axis=None)
336 self.assertEqual(self.evaluate(x), self.evaluate(x_r))
337 x_r = dist.extended.reduce_to(op, x, "/CPU:0")
338 self.assertEqual(self.evaluate(x), self.evaluate(x_r))
339 x_r, y_r = dist.extended.batch_reduce_to(op,
341 self.assertEqual(self.evaluate(x), self.evaluate(x_r))
356 x_r = dist.extended.reduce_to(reduce_util.ReduceOp.MEAN, x, "/CPU:0")
357 self.assertEqual(self.evaluate(x), self.evaluate(x_r))
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/external/webrtc/modules/audio_processing/agc2/
Dcompute_interpolated_gain_curve.cc53 auto area_under_linear_piece = [](double x_l, double x_r, double m, in ComputeAreaUnderPiecewiseLinearApproximation()
55 return x_r * (m * x_r / 2.0 + q) - x_l * (m * x_l / 2.0 + q); in ComputeAreaUnderPiecewiseLinearApproximation()
/external/libxaac/decoder/
Dixheaacd_hbe_trans.c295 FLOAT32 x_r, x_i, temp; in ixheaacd_norm_qmf_in_buf_4() local
297 x_r = in_buf[0]; in ixheaacd_norm_qmf_in_buf_4()
300 temp = x_r * x_r; in ixheaacd_norm_qmf_in_buf_4()
310 x_r *= mag_scaling_fac; in ixheaacd_norm_qmf_in_buf_4()
313 norm_buf[0] = x_r; in ixheaacd_norm_qmf_in_buf_4()
334 FLOAT32 x_r, x_i, temp; in ixheaacd_norm_qmf_in_buf_2() local
336 x_r = in_buf[0]; in ixheaacd_norm_qmf_in_buf_2()
339 temp = x_r * x_r; in ixheaacd_norm_qmf_in_buf_2()
347 x_r *= mag_scaling_fac; in ixheaacd_norm_qmf_in_buf_2()
350 norm_buf[0] = x_r; in ixheaacd_norm_qmf_in_buf_2()
/external/tensorflow/tensorflow/python/keras/layers/
Drecurrent.py1854 x_r = K.dot(inputs_r, self.kernel[:, self.units:self.units * 2])
1859 x_r = K.bias_add(x_r, input_bias[self.units: self.units * 2])
1880 r = self.recurrent_activation(x_r + recurrent_r)
1903 x_z, x_r, x_h = array_ops.split(matrix_x, 3, axis=-1)
1918 r = self.recurrent_activation(x_r + recurrent_r)
Drecurrent_v2.py597 x_z, x_r, x_h = array_ops.split(matrix_x, 3, axis=1)
606 r = nn.sigmoid(x_r + recurrent_r)