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Searched refs:adj_x (Results 1 – 23 of 23) sorted by relevance

/external/tensorflow/tensorflow/core/kernels/
Dbatch_matmul_op_impl.h62 Eigen::IndexPair<Eigen::DenseIndex> ContractionDims(bool adj_x, bool adj_y) { in ContractionDims() argument
63 return Eigen::IndexPair<Eigen::DenseIndex>(adj_x ? 0 : 1, adj_y ? 1 : 0); in ContractionDims()
77 const Tensor in_y, bool adj_x, bool adj_y, Tensor* out, in Run()
89 contract_pairs[0] = ContractionDims(adj_x, adj_y); in Run()
94 if (adj_x != adj_y) { in Run()
113 const Tensor& in_y, bool adj_x, bool adj_y, Tensor* out,
119 contract_pairs[0] = ContractionDims(adj_x, adj_y);
133 static void Multiply(bool adj_x, bool adj_y, Tx x, Ty y, Tz z) {
134 if (!adj_x) {
172 static void Run(const Tensor& in_x, const Tensor& in_y, bool adj_x,
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/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_BatchMatMul.pbtxt22 name: "adj_x"
40 the `adj_x` or `adj_y` flag to `True`, which are by default `False`.
47 r_o = c_x if adj_x else r_x
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/
Dmath_utils_test.py101 adj_x=True).eval())
109 adj_x=True, adj_y=True).eval())
124 adj_x=True).eval())
132 adj_x=True, adj_y=True).eval())
Dmath_utils.py270 def batch_times_matrix(batch, matrix, adj_x=False, adj_y=False): argument
291 if adj_x:
314 def matrix_times_batch(matrix, batch, adj_x=False, adj_y=False): argument
318 batch=batch, matrix=matrix, adj_x=not adj_y, adj_y=not adj_x),
/external/tensorflow/tensorflow/core/ops/
Dmath_ops_test.cc392 auto set_adj = [&op](bool adj_x, bool adj_y) { in TEST() argument
396 .Attr("adj_x", adj_x) in TEST()
Dmath_ops.cc134 bool adj_x; in __anonb22bfa860202() local
136 TF_RETURN_IF_ERROR(c->GetAttr("adj_x", &adj_x)); in __anonb22bfa860202()
138 DimensionHandle output_rows = c->Dim(a_shape, adj_x ? -1 : -2); in __anonb22bfa860202()
151 TF_RETURN_IF_ERROR(c->Merge(c->Dim(a_shape, adj_x ? -2 : -1), in __anonb22bfa860202()
Dops.pbtxt3337 name: "adj_x"
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dkalman_filter.py291 kalman_gain_transposed, observation_noise, adj_x=True),
/external/tensorflow/tensorflow/core/graph/
Dtestlib.h85 Node* BatchMatmul(Graph* g, Node* in0, Node* in1, bool adj_x, bool adj_y);
Dtestlib.cc171 Node* BatchMatmul(Graph* g, Node* in0, Node* in1, bool adj_x, bool adj_y) { in BatchMatmul() argument
176 .Attr("adj_x", adj_x) in BatchMatmul()
/external/tensorflow/tensorflow/lite/toco/graph_transformations/
Dunroll_batch_matmul.cc234 if (batch_op->adj_x) { in Run()
/external/tensorflow/tensorflow/python/ops/
Dmath_grad.py1249 adj_x = op.get_attr("adj_x")
1252 if not adj_x:
Dmath_ops.py2542 a, b, adj_x=adjoint_a, adj_y=adjoint_b, name=name)
/external/tensorflow/tensorflow/lite/toco/
Dmodel.h983 bool adj_x = false;
Dimport_tensorflow.cc1098 batch_matmul->adj_x = GetBoolAttr(node, "adj_x"); in ConvertBatchMatMulOperator()
/external/tensorflow/tensorflow/compiler/tests/
Drandomized_tests.cc1210 bool adj_x = random_bool(generator()); in TEST_F() local
1212 if (adj_x) { in TEST_F()
1223 .Attr("adj_x", adj_x) in TEST_F()
/external/tensorflow/tensorflow/python/ops/parallel_for/
Dpfor.py1976 adj_x = pfor_input.get_attr("adj_x")
1981 output = math_ops.matmul(x, y, adjoint_a=adj_x, adjoint_b=adj_y)
/external/tensorflow/tensorflow/python/keras/
Dbackend.py1559 adj_x = None if axes[0] == ndim(x) - 1 else True
1561 out = math_ops.matmul(x, y, adjoint_a=adj_x, adjoint_b=adj_y)
/external/tensorflow/tensorflow/core/ops/compat/
Dops_history.v0.pbtxt4636 name: "adj_x"
4677 name: "adj_x"
4719 name: "adj_x"
4762 name: "adj_x"
Dops_history.v2.pbtxt9250 name: "adj_x"
9294 name: "adj_x"
9338 name: "adj_x"
9383 name: "adj_x"
Dops_history.v1.pbtxt9250 name: "adj_x"
9294 name: "adj_x"
9338 name: "adj_x"
9383 name: "adj_x"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.raw_ops.pbtxt317 …argspec: "args=[\'x\', \'y\', \'adj_x\', \'adj_y\', \'name\'], varargs=None, keywords=None, defaul…
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.raw_ops.pbtxt317 …argspec: "args=[\'x\', \'y\', \'adj_x\', \'adj_y\', \'name\'], varargs=None, keywords=None, defaul…