| /external/tensorflow/tensorflow/core/kernels/ |
| D | reshape_util.cc | 51 const int64 output_rank = target_shape_in.NumElements(); in Reshape() local
62 for (int d = 0; d < output_rank; ++d) { in Reshape()
117 gtl::InlinedVector<int64, 8> output_strides(output_rank); in Reshape()
118 if (output_rank > 0) { in Reshape()
119 output_strides[output_rank - 1] = 1; in Reshape()
120 for (int d = output_rank - 2; d >= 0; --d) { in Reshape()
128 TensorShape({nnz, output_rank}), in Reshape()
137 for (int j = 0; j < output_rank; ++j) { in Reshape()
145 TensorShape({output_rank}), in Reshape()
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| D | deserialize_sparse_variant_op.cc | 155 const int output_rank = output_shape->NumElements(); in Compute() local
158 0, {static_cast<int64>(total_non_zeros), output_rank}, in Compute()
177 i, output_rank - input_dims_to_stack, in Compute()
205 if (input_dims_to_stack == 1 && output_rank == 2) { in Compute()
239 for (size_t k = input_dims_to_stack; k < output_rank; ++k) { in Compute()
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| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| D | feature_column_ops.py | 42 def _maybe_reshape_input_tensor(tensor, column_name, output_rank): argument
69 if output_rank > input_rank + 1:
75 column_name, input_rank, output_rank))
76 elif output_rank == input_rank + 1:
88 elif output_rank < input_rank:
89 return layers._inner_flatten(tensor, output_rank) # pylint: disable=protected-access
99 output_rank, argument
121 if output_rank == 3:
126 output_rank=output_rank), transformed_tensor)
137 output_rank=output_rank))
[all …]
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| D | feature_column.py | 254 output_rank=2): argument
428 output_rank=2): argument
824 output_rank=2): argument
968 output_rank=2): argument
989 sparse_id_column = layers._inner_flatten(sparse_id_column, output_rank)
1018 return math_ops.reduce_sum(one_hot_id_tensor, axis=[output_rank - 1])
1197 output_rank=2): argument
1215 input_tensor = layers._inner_flatten(args.input_tensor, output_rank)
1218 weight_tensor = layers._inner_flatten(args.weight_tensor, output_rank)
1631 def _reshape_real_valued_tensor(input_tensor, output_rank, column_name=None): argument
[all …]
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| D | feature_column_test.py | 339 for output_rank in range(1, len(id_tensor_shape) + 1):
340 with variable_scope.variable_scope("output_rank_{}".format(output_rank)):
342 id_tensor, output_rank=output_rank)
345 expected_shape = (id_tensor_shape[:output_rank - 1] + [vocab_size])
366 output_rank = len(id_tensor_shape)
375 output_rank=output_rank)
601 for output_rank in range(1, 3 + len(dimensions)):
602 with variable_scope.variable_scope("output_rank_{}".format(output_rank)):
605 output_rank=output_rank)
609 input_shape[:output_rank - 1] +
[all …]
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| /external/tensorflow/tensorflow/core/ops/ |
| D | set_ops.cc | 53 DimensionHandle output_rank; in __anon967df2c80102() local
74 output_rank = c->MakeDim(input0_rank); in __anon967df2c80102()
79 output_rank = c->MakeDim(c->Rank(input1_shape)); in __anon967df2c80102()
81 output_rank = c->UnknownDim(); in __anon967df2c80102()
85 c->set_output(0, c->Matrix(c->UnknownDim(), output_rank)); in __anon967df2c80102()
87 c->set_output(2, c->Vector(output_rank)); in __anon967df2c80102()
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| /external/tensorflow/tensorflow/compiler/xla/service/ |
| D | gather_expander.cc | 254 int64 output_rank) { in PermuteBatchAndOffsetDims() argument
256 permutation.reserve(output_rank); in PermuteBatchAndOffsetDims()
259 int64 offset_idx_counter = output_rank - offset_dims.size(); in PermuteBatchAndOffsetDims()
260 for (int64 i = 0; i < output_rank; i++) { in PermuteBatchAndOffsetDims()
316 int64 output_rank = output_shape.dimensions_size(); in ExpandInstruction() local
369 output_rank); in ExpandInstruction()
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| D | instruction_fusion.cc | 173 int64 output_rank = 0; in EffectivelyAtMostUnary() local
176 [&output_rank](const Shape& subshape, const ShapeIndex& shape_index) { in EffectivelyAtMostUnary()
178 output_rank = std::max(output_rank, ShapeUtil::TrueRank(subshape)); in EffectivelyAtMostUnary()
182 hlo->operands(), [output_rank](HloInstruction* operand) { in EffectivelyAtMostUnary()
191 return ShapeUtil::TrueRank(operand->shape()) >= output_rank; in EffectivelyAtMostUnary()
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| D | hlo_evaluator.cc | 783 int64 output_rank = output_shape.dimensions_size(); in IterationSpaceForOutputBatchIndices() local
784 std::vector<int64> index_base(output_rank, 0); in IterationSpaceForOutputBatchIndices()
786 index_count.reserve(output_rank); in IterationSpaceForOutputBatchIndices()
787 for (int64 i = 0; i < output_rank; i++) { in IterationSpaceForOutputBatchIndices()
794 std::vector<int64>(output_rank, 1)}; in IterationSpaceForOutputBatchIndices()
800 int64 output_rank, absl::Span<const int64> slice_sizes, in IterationSpaceForOutputOffsetIndices() argument
802 std::vector<int64> index_base(output_rank, 0); in IterationSpaceForOutputOffsetIndices()
803 std::vector<int64> index_count(output_rank, 1); in IterationSpaceForOutputOffsetIndices()
805 for (int64 i = 0; i < output_rank; i++) { in IterationSpaceForOutputOffsetIndices()
818 std::vector<int64>(output_rank, 1)}; in IterationSpaceForOutputOffsetIndices()
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| D | shape_inference.cc | 2631 const int64 output_rank = output_shape.rank(); in InferBroadcastShape() local
2632 if (operand_rank > output_rank) { in InferBroadcastShape()
2636 operand_rank, output_rank); in InferBroadcastShape()
2645 if (broadcast_dimensions[i] < 0 || broadcast_dimensions[i] >= output_rank) { in InferBroadcastShape()
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| /external/tensorflow/tensorflow/compiler/xla/client/lib/ |
| D | matrix.cc | 169 const int64 output_rank = output_config.size(); in Einsum() local
232 output_dims.reserve(output_rank); in Einsum()
243 std::vector<int64> transpose_dims(output_rank); in Einsum()
244 for (int64 i = 0; i < output_rank; ++i) { in Einsum()
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| /external/tensorflow/tensorflow/lite/kernels/ |
| D | gather_nd.cc | 84 const int output_rank = indices_rank + params_rank - indices_nd - 1; in Prepare() local
85 TfLiteIntArray* output_shape = TfLiteIntArrayCreate(output_rank); in Prepare()
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| D | embedding_lookup_sparse.cc | 154 const int output_rank = (lookup_rank - 1) + (embedding_rank - 1); in Eval() local
161 TfLiteIntArray* output_shape = TfLiteIntArrayCreate(output_rank); in Eval()
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| /external/tensorflow/tensorflow/compiler/xla/ |
| D | shape_util.cc | 1303 int64 output_rank = output_shape.rank(); in AlignLayouts() local
1326 for (int64 i = 0, j = 0; i < input_rank || j < output_rank;) { in AlignLayouts()
1334 j == output_rank) { in AlignLayouts()
1352 alignment.push_back({input_rank, output_rank}); in AlignLayouts()
1360 output_layout.reserve(output_rank); in AlignLayouts()
1398 CHECK_EQ(output_layout.size(), output_rank); in AlignLayouts()
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| /external/tensorflow/tensorflow/compiler/xla/service/llvm_ir/ |
| D | ir_array.cc | 268 int64 output_rank = shape.rank(); in SourceIndexOfBroadcast() local
270 int64 min_broadcasted_dimension = output_rank; in SourceIndexOfBroadcast()
296 for (int64 i = max_broadcasted_dimension + 1; i < output_rank; ++i) { in SourceIndexOfBroadcast()
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| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| D | constant_folding.cc | 710 const int output_rank = in MaterializeReductionIndices() local
713 bool full_reduction = output_rank == 0 || num_reduction_indices == input_rank; in MaterializeReductionIndices()
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| /external/tensorflow/tensorflow/compiler/xla/client/ |
| D | xla_builder.cc | 1759 const int64 output_rank = output_shape.rank(); in Map() local
1765 if (rank != output_rank) { in Map()
|