/external/tensorflow/tensorflow/python/ops/ragged/ |
D | ragged_gather_ops.py | 40 batch_dims=0, argument 114 def _gather(params, indices, axis, batch_dims): argument 176 def _batch_gather(params, indices, axis, batch_dims): argument 330 def gather_nd(params, indices, batch_dims=0, name=None): argument
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D | ragged_gather_op_test.py | 154 batch_dims=0, argument 358 batch_dims=0): argument
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D | ragged_dispatch.py | 418 axis=0, batch_dims=0): argument 428 def _ragged_gather_nd_v1(params, indices, name=None, batch_dims=0): argument
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | banded_triangular_solve_op_test.py | 31 def _verifySolveAllWays(self, x, y, dtypes, batch_dims=None): argument 44 def _verifySolveAllWaysReal(self, x, y, batch_dims=None): argument 47 def _verifySolveAllWaysComplex(self, x, y, batch_dims=None): argument 55 batch_dims=None, argument
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D | matrix_triangular_solve_op_test.py | 31 def _verifySolveAllWays(self, x, y, dtypes, batch_dims=None): argument 44 def _verifySolveAllWaysReal(self, x, y, batch_dims=None): argument 47 def _verifySolveAllWaysComplex(self, x, y, batch_dims=None): argument 55 batch_dims=None, argument
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D | matrix_solve_op_test.py | 41 def _verifySolve(self, x, y, batch_dims=None): argument
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D | matrix_exponential_op_test.py | 222 def _TestRandomSmall(dtype, batch_dims, size): argument
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/external/tensorflow/tensorflow/python/kernel_tests/array_ops/ |
D | gather_op_test.py | 447 def testBatchDims(self, params, indices, batch_dims, expected=None, argument 539 batch_dims, axis, output_shape): argument 574 def _batchNumpyGather(self, params, indices, axis, batch_dims): argument
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/external/tensorflow/tensorflow/compiler/xla/service/spmd/ |
D | gather_scatter_handler.cc | 137 const HloGatherInstruction* gather, absl::Span<const int64> batch_dims, in PartitionIndexOnlyPartition() 181 const HloSharding& output_sharding, absl::Span<const int64> batch_dims, in ParititonPassthroughOperand() 216 const HloSharding& output_sharding, absl::Span<const int64> batch_dims, in ParititonTrivialIndexedOperandDimension() 272 std::vector<int64> batch_dims; in ParititonTrivialIndexedOperandDimension() local 316 const HloSharding& output_sharding, absl::Span<const int64> batch_dims, in PartitionIndexParallelDimensions() 464 absl::Span<const int64> batch_dims, in PartitionGather() 676 std::vector<int64> batch_dims; in HandleGather() local
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/external/tensorflow/tensorflow/compiler/xla/service/ |
D | qr_expander.cc | 81 Status House(XlaOp x, XlaOp k, absl::Span<const int64> batch_dims, in House() 190 std::vector<int64> batch_dims(num_batch_dims); in QrBlock() local 295 PrimitiveType type, absl::Span<const int64> batch_dims, XlaOp vs, in CompactWYRepresentation() 370 std::vector<int64> batch_dims(num_batch_dims); in BuildQrDecomposition() local
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D | dot_as_convolution_util.h | 43 std::vector<DimNums> batch_dims; member
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/external/tensorflow/tensorflow/compiler/xla/client/lib/ |
D | lu_decomposition.cc | 35 const std::vector<int64> batch_dims( in LuDecomposition() local
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D | svd.cc | 119 std::vector<int64> batch_dims(num_batch_dims); in HouseRow() local 184 std::vector<int64> batch_dims(num_batch_dims); in HouseCol() local 258 std::vector<int64> batch_dims(num_batch_dims); in HouseHolderBidiagonalization() local 460 std::vector<int64> batch_dims(num_batch_dims); in OneSidedJacobiUpdate() local 825 std::vector<int64> batch_dims(num_batch_dims); in SVD() local
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D | self_adjoint_eig.cc | 120 const std::vector<int64> batch_dims(w_shape.dimensions().begin(), in Update() local 430 std::vector<int64> batch_dims(num_batch_dims); in SelfAdjointEig() local
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/external/tensorflow/tensorflow/compiler/tests/ |
D | matrix_solve_op_test.py | 56 def testSolve(self, n, nrhs, batch_dims, rhs_batch_dims, adjoint): argument
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | cusolver_rewriter.cc | 60 std::vector<int64> batch_dims(a_shape.dimensions().begin(), in CreateCholesky() local
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/external/tensorflow/tensorflow/core/kernels/ |
D | gather_op.cc | 92 int32 batch_dims = batch_dims_; in Compute() local
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D | gather_op_test.cc | 43 void MakeOp(DataType data_type, DataType index_type, int batch_dims = 0) { in MakeOp()
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/external/tensorflow/tensorflow/core/ops/ |
D | sparse_csr_matrix_ops.cc | 279 ShapeHandle batch_dims; in __anon59a9d6c30702() local 432 ShapeHandle batch_dims; in __anon59a9d6c30a02() local
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D | resource_variable_ops.cc | 253 int32 batch_dims; in __anon50d007a70402() local
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | gather_op.cc | 158 int batch_dims, xla::XlaOp* gather_output) { in XlaGatherWithBatchDimsOpImpl()
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D | softmax_op.cc | 63 std::vector<int64> batch_dims(logits_shape.dims() - 1); in Compile() local
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/external/tensorflow/tensorflow/python/ops/ |
D | array_ops.py | 4831 batch_dims=0): # pylint: disable=g-doc-args argument 5041 batch_dims=0, argument 5071 def _batch_gather(params, indices, batch_dims, axis=None): argument 5196 def gather_nd(params, indices, name=None, batch_dims=0): argument 5359 def gather_nd_v2(params, indices, batch_dims=0, name=None): argument 5366 def batch_gather_nd(params, indices, batch_dims, name=None): argument
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D | array_grad.py | 585 def _GetBatchIndices(params_shape, indices, batch_dims): argument 606 def _BatchGatherGrad(params_shape, values, indices, batch_dims, argument
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/external/tensorflow/tensorflow/core/grappler/costs/ |
D | op_level_cost_estimator.h | 211 std::vector<int> batch_dims; member
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