| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | batch_matmul_op_test.py | 49 def _npBatchMatmul(self, x, y, adjoint_a, adjoint_b): argument
53 if adjoint_b:
58 def _compare(self, x_in, y_in, adjoint_a, adjoint_b, static_shape): argument
62 y = y_in if not adjoint_b else y_in.reshape(y_t_shape)
67 z0 = math_ops.matmul(x, y, adjoint_a=adjoint_a, adjoint_b=adjoint_b)
73 x_ph, y_ph, adjoint_a=adjoint_a, adjoint_b=adjoint_b)
75 z1 = self._npBatchMatmul(x, y, adjoint_a, adjoint_b)
78 def _testNonEmpty(self, dtype, adjoint_a, adjoint_b, use_static_shape): argument
85 adjoint_b,
98 def _testBroadcasting(self, dtype, adjoint_a, adjoint_b, use_static_shape): argument
[all …]
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| D | sparse_tensor_dense_matmul_op_test.py | 54 adjoint_b=False, argument
60 if adjoint_b:
73 sp_x_value, y, adjoint_a=adjoint_a, adjoint_b=adjoint_b)
78 adjoint_b=adjoint_b)
217 self._testMatmul(x, y, adjoint_a=False, adjoint_b=False)
218 self._testMatmul(x.transpose(), y, adjoint_a=True, adjoint_b=False)
219 self._testMatmul(x, y.transpose(), adjoint_a=False, adjoint_b=True)
221 x.transpose(), y.transpose(), adjoint_a=True, adjoint_b=True)
234 for adjoint_b in [True, False]:
241 y = y.transpose() if adjoint_b else y
[all …]
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| D | sparse_tensor_dense_matmul_grad_test.py | 62 def _testGradients(self, adjoint_a, adjoint_b, name, values_dtype, argument
71 dense_t = self._randomTensor([k, m], values_dtype, adjoint=adjoint_b)
74 sp_t, dense_t, adjoint_a=adjoint_a, adjoint_b=adjoint_b, name=name)
77 dense_t_shape = [m, k] if adjoint_b else [k, m]
87 for adjoint_b in [True, False]:
89 adjoint_a, adjoint_b, values_dtype.__name__, indices_dtype.__name__)
90 self._testGradients(adjoint_a, adjoint_b, name, values_dtype,
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| D | matmul_op_test.py | 258 for adjoint_b, transpose_b in trans_options:
261 transpose_a, adjoint_b, transpose_b)
269 adjoint_b=adjoint_b,
278 adjoint_b=adjoint_b,
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| /external/tensorflow/tensorflow/python/kernel_tests/linalg/sparse/ |
| D | csr_sparse_matrix_test.py | 151 def _testSparseSparse(self, transpose_a, transpose_b, adjoint_a, adjoint_b): argument
156 dense_shape_b = [5, 15, 13] if transpose_b or adjoint_b else [5, 13, 15]
171 adjoint_b=adjoint_b)
178 adjoint_b=adjoint_b)
191 def _testSparseDense(self, transpose_a, transpose_b, adjoint_a, adjoint_b): argument
197 dense_shape_b = [5, 15, 13] if transpose_b or adjoint_b else [5, 13, 15]
211 adjoint_b=adjoint_b)
218 adjoint_b=adjoint_b)
229 def _testDenseSparse(self, transpose_a, transpose_b, adjoint_a, adjoint_b): argument
235 dense_shape_b = [5, 15, 13] if transpose_b or adjoint_b else [5, 13, 15]
[all …]
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| D | csr_sparse_matrix_dense_mat_mul_grad_test.py | 62 transpose_b, adjoint_a, adjoint_b, argument
77 if transpose_b or adjoint_b:
79 if adjoint_b:
91 adjoint_b=adjoint_b,
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| D | csr_sparse_matrix_sparse_mat_mul_grad_test.py | 63 adjoint_b): argument
78 if transpose_b or adjoint_b:
80 if adjoint_b:
93 adjoint_b=adjoint_b,
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| D | csr_sparse_matrix_ops_test.py | 547 for (adjoint_a, adjoint_b) in ((False, False), (False, True),
549 if (transpose_a and adjoint_a) or (transpose_b and adjoint_b):
558 if transpose_b or adjoint_b:
568 (transpose_a, transpose_b, adjoint_a, adjoint_b))
578 adjoint_b=adjoint_b)
585 adjoint_b=adjoint_b)
609 for (adjoint_a, adjoint_b) in ((False, False), (False, True),
611 if (transpose_a and adjoint_a) or (transpose_b and adjoint_b):
620 if transpose_b or adjoint_b:
630 (transpose_a, transpose_b, adjoint_a, adjoint_b))
[all …]
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| /external/tensorflow/tensorflow/python/ops/linalg/sparse/ |
| D | sparse_csr_matrix_ops.py | 122 adjoint_b): argument
131 transpose_b = transpose_b or adjoint_b
152 adjoint_b=False, argument
188 adjoint_b=adjoint_b,
205 adjoint_b=adjoint_b,
212 transpose_b, adjoint_a, adjoint_b)
222 adjoint_b=adjoint_b)
225 if not adjoint_a and not adjoint_b:
236 adjoint_a=not adjoint_b,
237 adjoint_b=not adjoint_a,
[all …]
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| D | sparse_csr_matrix_grad.py | 121 grad_a_dense = matmul(grad, b, adjoint_b=not adj_b)
123 grad_a_dense = matmul(b, grad, adjoint_a=adj_b, adjoint_b=True)
131 grad_a_dense = matmul(b, grad, transpose_a=True, adjoint_b=True)
150 grad_a_dense = matmul(grad, b, transpose_a=True, adjoint_b=not adj_b)
165 grad_b = sparse_matmul(a, grad, adjoint_b=True, transpose_output=True)
193 grad_a = matmul(grad, b, adjoint_b=True, type=dtype)
200 grad_a = matmul(b, grad, adjoint_b=True, type=dtype)
203 grad_a = matmul(b, grad, adjoint_a=True, adjoint_b=True, type=dtype)
204 grad_b = matmul(grad, a, adjoint_a=True, adjoint_b=True, type=dtype)
214 grad_b = matmul(grad, a, transpose_a=True, adjoint_b=True, type=dtype)
[all …]
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | sparse_tensor_dense_matmul_op_test.cc | 28 bool adjoint_b) { in SparseTensorDenseMatMulNode() argument
37 .Attr("adjoint_b", adjoint_b) in SparseTensorDenseMatMulNode()
43 bool adjoint_a, bool adjoint_b) { in SparseTensorDenseMatmul() argument
61 Tensor b(DT_FLOAT, adjoint_b ? TensorShape({n, k}) : TensorShape({k, n})); in SparseTensorDenseMatmul()
67 test::graph::Constant(g, b), adjoint_a, adjoint_b); in SparseTensorDenseMatmul()
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| /external/tensorflow/tensorflow/python/ops/ |
| D | linalg_grad.py | 55 ainv, math_ops.matmul(grad, ainv, adjoint_b=True), adjoint_a=True)
515 rdr = math_ops.matmul(r, dr, adjoint_b=True)
546 dq + math_ops.matmul(y, dv, adjoint_b=True),
559 grad_a = -math_ops.matmul(c, grad_b, adjoint_b=True)
561 grad_a = -math_ops.matmul(grad_b, c, adjoint_b=True)
594 xzt = math_ops.matmul(x, z, adjoint_b=True)
596 grad_a = -math_ops.matmul(a, zx_sym) + math_ops.matmul(b, z, adjoint_b=True)
622 a2 = math_ops.matmul(tmp, a2, adjoint_b=True)
656 grad_a = -math_ops.matmul(c, grad_b, adjoint_b=True)
658 grad_a = -math_ops.matmul(grad_b, c, adjoint_b=True)
[all …]
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| D | sparse_ops_test.py | 163 independent_dense_tf, sp, adjoint_a=False, adjoint_b=False)
168 independent_dense_tf, sp, adjoint_a=False, adjoint_b=True)
174 independent_dense_tf, sp, adjoint_a=True, adjoint_b=False)
180 independent_dense_tf, sp, adjoint_a=True, adjoint_b=True)
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SparseMatrixSparseMatMul.pbtxt | 29 name: "adjoint_b"
40 and `adjoint_b`. At most one of `transpose_a` or `adjoint_a` may be True.
41 Similarly, at most one of `transpose_b` or `adjoint_b` may be True.
109 adjoint_b: If True, `b` adjointed before multiplication.
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | SparseTensorDenseMatMul.pbtxt | 35 name: "adjoint_b"
89 name: "adjoint_b"
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| D | SparseMatrixSparseMatMul.pbtxt | 49 name: "adjoint_b"
|
| D | SparseMatrixMatMul.pbtxt | 41 name: "adjoint_b"
|
| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | SparseTensorDenseMatMul.pbtxt | 35 name: "adjoint_b"
89 name: "adjoint_b"
|
| D | SparseMatrixSparseMatMul.pbtxt | 49 name: "adjoint_b"
|
| D | SparseMatrixMatMul.pbtxt | 41 name: "adjoint_b"
|
| /external/tensorflow/tensorflow/core/ops/ |
| D | sparse_csr_matrix_ops.cc | 255 bool adjoint_b = false; in __anon59a9d6c30702() local
257 TF_RETURN_IF_ERROR(c->GetAttr("adjoint_b", &adjoint_b)); in __anon59a9d6c30702()
262 if (adjoint_b && transpose_b) { in __anon59a9d6c30702()
267 transpose_b = transpose_b || adjoint_b; in __anon59a9d6c30702()
413 bool adjoint_b = false; in __anon59a9d6c30a02() local
415 TF_RETURN_IF_ERROR(c->GetAttr("adjoint_b", &adjoint_b)); in __anon59a9d6c30a02()
419 } else if (adjoint_b && transpose_b) { in __anon59a9d6c30a02()
424 transpose_b = transpose_b || adjoint_b; in __anon59a9d6c30a02()
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| D | sparse_csr_matrix_ops_test.cc | 109 bool adjoint_b, bool transpose_output) { in TEST() argument
116 .Attr("adjoint_b", adjoint_b) in TEST()
233 bool adjoint_b) { in TEST() argument
240 .Attr("adjoint_b", adjoint_b) in TEST()
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| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| D | linear_operator_low_rank_update_test.py | 137 u, math_ops.matmul(diag_update_mat, v, adjoint_b=True))
141 matrix = base_diag_mat + math_ops.matmul(u, v, adjoint_b=True)
146 u, math_ops.matmul(diag_update_mat, u, adjoint_b=True))
150 matrix = base_diag_mat + math_ops.matmul(u, u, adjoint_b=True)
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| D | linear_operator_test.py | 108 self._matrix, x, adjoint_a=adjoint, adjoint_b=adjoint_arg)
386 operator, rhs, adjoint_a=adjoint, adjoint_b=adjoint_arg)
408 lhs, mat, adjoint_a=adjoint, adjoint_b=adjoint_arg)
410 lhs, right_operator, adjoint_a=adjoint, adjoint_b=adjoint_arg)
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| /external/tensorflow/tensorflow/python/ops/linalg/ |
| D | linear_operator_util.py | 391 adjoint_b=False): argument
430 b_eq_sz_ = b.shape[-2 if adjoint_b or transpose_b else -1]
446 if adjoint_b:
|