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Searched refs:actual_y (Results 1 – 4 of 4) sorted by relevance

/external/eigen/blas/
Dlevel2_impl.h249 Scalar* actual_y = get_compact_vector(y,actual_m,*incy); in EIGEN_BLAS_FUNC() local
253 if(beta==Scalar(0)) make_vector(actual_y, actual_m).setZero(); in EIGEN_BLAS_FUNC()
254 else make_vector(actual_y, actual_m) *= beta; in EIGEN_BLAS_FUNC()
267 … make_vector(actual_y+start,len) += (alpha*actual_x[j]) * mat_coeffs.col(j).segment(offset,len); in EIGEN_BLAS_FUNC()
269 …actual_y[j] += alpha * ( mat_coeffs.col(j).segment(offset,len).transpose() * make_vector(actual_x+… in EIGEN_BLAS_FUNC()
271 …actual_y[j] += alpha * ( mat_coeffs.col(j).segment(offset,len).adjoint() * make_vector(actual_x+… in EIGEN_BLAS_FUNC()
275 if(actual_y!=y) delete[] copy_back(actual_y,y,actual_m,*incy); in EIGEN_BLAS_FUNC()
325 … make_vector(actual_y+start,len) += (alpha*actual_x[j]) * mat_coeffs.col(j).segment(offset,len);
327 …actual_y[j] += alpha * ( mat_coeffs.col(j).segment(offset,len).transpose() * make_vector(actual_x+…
329 …actual_y[j] += alpha * ( mat_coeffs.col(j).segment(offset,len).adjoint() * make_vector(actual_x+…
[all …]
Dlevel2_real_impl.h44 Scalar* actual_y = get_compact_vector(y,*n,*incy); in EIGEN_BLAS_FUNC() local
48 if(beta==Scalar(0)) make_vector(actual_y, *n).setZero(); in EIGEN_BLAS_FUNC()
49 else make_vector(actual_y, *n) *= beta; in EIGEN_BLAS_FUNC()
56 func[code](*n, a, *lda, actual_x, actual_y, alpha); in EIGEN_BLAS_FUNC()
59 if(actual_y!=y) delete[] copy_back(actual_y,y,*n,*incy); in EIGEN_BLAS_FUNC()
Dlevel2_cplx_impl.h50 Scalar* actual_y = get_compact_vector(y,*n,*incy); in EIGEN_BLAS_FUNC() local
54 if(beta==Scalar(0)) make_vector(actual_y, *n).setZero(); in EIGEN_BLAS_FUNC()
55 else make_vector(actual_y, *n) *= beta; in EIGEN_BLAS_FUNC()
64 func[code](*n, a, *lda, actual_x, actual_y, alpha); in EIGEN_BLAS_FUNC()
68 if(actual_y!=y) delete[] copy_back(actual_y,y,*n,*incy); in EIGEN_BLAS_FUNC()
/external/tensorflow/tensorflow/contrib/fused_conv/python/ops/
Dfused_conv2d_bias_activation_op_test_base.py930 actual_y, expected_y = sess.run([actual, expected])
931 self.assertAllClose(actual_y, expected_y, rtol=0, atol=1)