/external/tensorflow/tensorflow/core/ops/ |
D | set_ops.cc | 56 if (c->RankKnown(input0_shape)) { in __anon967df2c80102() 61 if (c->RankKnown(input1_shape)) { in __anon967df2c80102() 78 if (c->RankKnown(input1_shape)) { in __anon967df2c80102() 118 if (c->RankKnown(input0_shape)) { in __anon967df2c80202()
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D | array_ops.cc | 86 } else if (c->RankKnown(input)) { in PadShapeFn() 122 if (!c->RankKnown(input) && !c->ValueKnown(perm_elems) && perm == nullptr) { in TransposeShapeFn() 129 if (c->RankKnown(input)) { in TransposeShapeFn() 136 if (!c->RankKnown(input) && rank < 2) { in TransposeShapeFn() 185 if (!c->RankKnown(out)) { in SetOutputShapeForReshape() 191 if (c->RankKnown(out) && c->RankKnown(in)) { in SetOutputShapeForReshape() 331 if (!c->RankKnown(cur)) { in __anon7c94107b0302() 417 if (c->RankKnown(s)) { in __anon7c94107b0502() 452 if (c->RankKnown(indices) && c->Rank(indices) == 0) { in __anon7c94107b0602() 454 } else if (c->RankKnown(indices)) { in __anon7c94107b0602() [all …]
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D | control_flow_ops.cc | 93 if (!c->RankKnown(out)) { in MergeShape() 99 if (!c->RankKnown(input) || c->Rank(input) != rank) { in MergeShape()
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D | ragged_conversion_ops.cc | 62 c->RankKnown(rt_dense_values) in RaggedTensorToSparseShapeFn()
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D | tpu_cross_replica_ops.cc | 36 if (c->RankKnown(input)) { in __anonb72bce3d0102()
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D | rpc_ops.cc | 41 if (!c->RankKnown(output)) { in RpcShapeOp()
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D | math_ops.cc | 631 if (!c->RankKnown(in)) { in __anonb22bfa860302() 778 if (!c->RankKnown(cond) || !c->RankKnown(data)) { in __anonb22bfa860502() 913 if (!c->RankKnown(input_shape)) { in ArgOpShape() 1112 if (c->RankKnown(s_segment_ids)) { in UnsortedSegmentReductionShapeFn() 1469 if (c->RankKnown(a_shape)) { in __anonb22bfa860c02() 1694 if (c->RankKnown(input)) { in __anonb22bfa861402()
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D | lookup_ops.cc | 123 if (c->RankKnown(key_shape_and_type.shape) && c->RankKnown(keys)) { in ValidateTableResourceHandle()
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D | string_ops.cc | 165 if (c->RankKnown(c->input(i)) && c->Rank(c->input(i)) != 0) { in __anonb4ab91930402()
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D | data_flow_ops.cc | 61 if (!c->RankKnown(partitions_shape)) { in __anon4a7ac08d0202() 106 if (!c->RankKnown(indices_shape)) { in DynamicStitchShapeFunction() 636 if (c->RankKnown(input_shape) && in __anon4a7ac08d1302()
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D | resource_variable_ops.cc | 242 int64 rank = c->RankKnown(var_shape) ? c->Rank(var_shape) in VariableShapeShapeFn()
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D | list_ops.cc | 263 if (c->RankKnown(element_shape)) { in TensorListConcatShapeInference()
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/external/tensorflow/tensorflow/core/framework/ |
D | shape_inference.cc | 287 if (!RankKnown(handle)) { in ShapeHandleToProto() 304 if (!RankKnown(s)) return false; in FullyDefined() 334 if (RankKnown(s)) { in DebugString() 490 if (!RankKnown(prefix) || !RankKnown(s)) { in MergePrefix() 517 } else if (!RankKnown(s_new) || !s_old.IsSet()) { in Relax() 562 } else if (!RankKnown(s1)) { in Merge() 566 } else if (!RankKnown(s0)) { in Merge() 643 ((RankKnown(s) && end >= rank) || in Subshape() 648 if (!RankKnown(s)) { in Subshape() 698 if (!RankKnown(s1) || !RankKnown(s2)) { in Concatenate() [all …]
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D | shape_inference_testutil.cc | 131 if (c.RankKnown(out)) { in InferShapes() 146 if (!c.RankKnown(out)) { in InferShapes()
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D | common_shape_fns.cc | 254 if (!c->RankKnown(input_shape)) { in BiasAddShape() 1170 if (reduction_indices_t == nullptr || !c->RankKnown(input)) { in ReductionShape() 1174 if (keep_dims && c->RankKnown(input)) { in ReductionShape() 1317 if (!c->RankKnown(shape_x) || !c->RankKnown(shape_y)) { in BroadcastBinaryOpOutputShapeFnHelper() 1471 if (c->RankKnown(sizes_value)) { in SliceShape() 1483 if (c->RankKnown(input)) { in SliceShape() 1556 if (c->RankKnown(indices_shape) && c->RankKnown(updates_shape)) { in ScatterNdUpdateShape()
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D | shape_inference.h | 361 static bool RankKnown(ShapeHandle s) { in RankKnown() function
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/external/tensorflow/tensorflow/compiler/tf2xla/ops/ |
D | xla_ops.cc | 30 if (c->RankKnown(c->input(0))) { in UnchangedRank() 319 if (c->RankKnown(c->input(0))) { in __anonc06300730302() 522 if (context->RankKnown(input_a)) { in __anonc06300730602() 527 if (context->RankKnown(input_b)) { in __anonc06300730602()
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/external/tensorflow/tensorflow/contrib/tensor_forest/ops/ |
D | model_ops.cc | 97 if (c->RankKnown(c->input(1)) && c->Rank(c->input(1)) > 0 && in __anon5b1697710102() 132 if (c->RankKnown(c->input(1)) && c->Rank(c->input(1)) > 0 && in __anon5b1697710202()
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/external/tensorflow/tensorflow/core/grappler/costs/ |
D | graph_properties.cc | 86 if (InferenceContext::RankKnown(*result)) { in Merge() 91 if (InferenceContext::RankKnown(h1)) { in Merge() 938 if (!ctx->RankKnown(shape2) || ctx->Rank(shape2) != rank) { in OutputAsUnion() 962 if (!InferenceContext::RankKnown(s1) && !InferenceContext::RankKnown(s2)) { in EquivalentShapes() 993 if (!InferenceContext::RankKnown(inferred_shape)) { in CompatibleShapes() 1387 if (ic->RankKnown(ic->input(0))) { in MaybeUpdateNodeContextOutput() 1430 if (!ic->RankKnown(input)) { in MaybeUpdateNodeContextOutput() 1462 if (ic->RankKnown(shape_handle) && ic->Rank(shape_handle) >= 1 && in MaybeUpdateNodeContextOutput() 1483 bool valid = ic->RankKnown(input); in MaybeUpdateNodeContextOutput() 1507 bool valid = ic->RankKnown(input); in MaybeUpdateNodeContextOutput() [all …]
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/external/tensorflow/tensorflow/contrib/reduce_slice_ops/ops/ |
D | reduce_slice_ops.cc | 37 if (c->RankKnown(c->input(1))) { in ReduceSliceShapeFn()
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/external/tensorflow/tensorflow/core/common_runtime/ |
D | shape_refiner.cc | 525 if (!target_context->RankKnown(sub_result)) { in ConstantPartialShape() 732 if (!c->RankKnown(s0) && !c->RankKnown(s1)) { in SameDefinedShape()
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D | eval_const_tensor.cc | 79 bool rank_known = c->RankKnown(c->input(0)); in TryToInferTensorOutputFromInputShapes()
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/external/tensorflow/tensorflow/compiler/jit/ |
D | shape_inference.cc | 33 if (!context->RankKnown(handle)) return Status::OK(); in ShapeHandleToTensorShape()
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/external/tensorflow/tensorflow/python/framework/ |
D | cpp_shape_inference.cc | 35 if (c->RankKnown(s)) { in ProtoFromShapeHandle()
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/external/tensorflow/tensorflow/tools/graph_transforms/ |
D | fold_constants_lib.cc | 202 if (!context->RankKnown(handle)) return Status::OK(); in ShapeHandleToTensorShape()
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