| /third_party/mindspore/mindspore/ccsrc/frontend/parallel/ops_info/ |
| D | layer_norm_info.cc | 80 MS_LOG(ERROR) << name_ << ": Invalid input strategy " << ShapeToString(input_strategy); in CheckStrategy()
94 MS_LOG(ERROR) << name_ << ": Invalid gamma strategy " << ShapeToString(gamma_strategy); in CheckStrategy()
102 MS_LOG(ERROR) << name_ << ": Invalid beta strategy " << ShapeToString(beta_strategy); in CheckStrategy()
164 MS_LOG(INFO) << name_ << " : The dev matrix shape is " << ShapeToString(dev_matrix_shape_) in InferAsLossDivisor()
165 << ", the output[0]'s tensor map is " << ShapeToString(outputs_tensor_map_[0]) in InferAsLossDivisor()
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| D | tile_info.cc | 79 …MS_LOG(INFO) << name_ << ": The input shape is " << ShapeToString(inputs_shape_[0]) << ", the mult… in CheckStrategy()
80 … << ShapeToString(full_multiples_) << ", so the 'shape' can be split is " << ShapeToString(tmp); in CheckStrategy()
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| D | reluv2_info.cc | 118 MS_LOG(INFO) << name_ << ": the dev matrix shape is " << ShapeToString(dev_matrix_shape_) in InferAsLossDivisor()
119 … << ", the output tensor map is " << ShapeToString(outputs_tensor_map_[0]) << ", loss divisor is " in InferAsLossDivisor()
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| D | activation_info.cc | 302 MS_LOG(INFO) << name_ << " : The dev matrix shape is " << ShapeToString(dev_matrix_shape_) in InferAsLossDivisor()
303 << ", the output[0]'s tensor map is " << ShapeToString(outputs_tensor_map_[0]) in InferAsLossDivisor()
439 MS_LOG(INFO) << name_ << ": The tensor map of input is " << ShapeToString(input_tensor_map) in InferTensorMap()
440 << ", and the tensor map of output is " << ShapeToString(output_tensor_map); in InferTensorMap()
570 MS_LOG(INFO) << name_ << ": The tensor map of input is " << ShapeToString(input_tensor_map) in InferTensorMap()
571 << ", and the tensor map of output is " << ShapeToString(output_tensor_map); in InferTensorMap()
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| D | loss_info.cc | 102 MS_LOG(INFO) << name_ << " : The dev matrix shape is " << ShapeToString(dev_matrix_shape_) in InferAsLossDivisor()
103 …<< ", the output tensor map is " << ShapeToString(outputs_tensor_map_[1]) << ", as_loss_divisor_ i… in InferAsLossDivisor()
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| D | topk_info.cc | 100 std::string dev_matrix_shape_str = ShapeToString(dev_matrix_shape_); in InferAsLossDivisor()
101 std::string output_tensor_map_str = ShapeToString(outputs_tensor_map_[0]); in InferAsLossDivisor()
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| D | split_info.cc | 194 MS_LOG(INFO) << name_ << ": the dev matrix shape is " << ShapeToString(dev_matrix_shape_) in InferAsLossDivisor()
195 … << ", the output tensor map is " << ShapeToString(outputs_tensor_map_[0]) << ", loss divisor is " in InferAsLossDivisor()
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| D | batchnorm_info.cc | 244 MS_LOG(INFO) << name_ << " : The dev matrix shape is " << ShapeToString(dev_matrix_shape_) in InferAsLossDivisor()
245 << ", the output[0]'s tensor map is " << ShapeToString(outputs_tensor_map_[0]) in InferAsLossDivisor()
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| D | operator_info.cc | 474 << ShapeToString(dev_matrix_shape) << ", " << ShapeToString(tensor_map); in CreateGetTensorSliceOp()
644 …MS_LOG(ERROR) << "Invalid strategy: " << ShapeToString(strategy) << ", the element is less than or… in GetSliceShape()
673 MS_LOG(ERROR) << "Invalid strategy: " << ShapeToString(strategys[i]) in InferSliceShapeByStrategy()
1575 …MS_LOG(ERROR) << "Invalid tensor map: " << ShapeToString(tensor_map) << ", the dev matrix shape is… in ComputeRepeatDeviceNumByTensorMap()
1576 << ShapeToString(dev_matrix_shape); in ComputeRepeatDeviceNumByTensorMap()
1581 MS_LOG(ERROR) << "Invalid dev matrix shape: " << ShapeToString(dev_matrix_shape); in ComputeRepeatDeviceNumByTensorMap()
1618 MS_LOG(INFO) << name_ << ": the dev matrix shape is " << ShapeToString(out_dev_matrix_shape_) in InferAsLossDivisor()
1619 … << ", the output tensor map is " << ShapeToString(outputs_tensor_map_[0]) << ", loss divisor is " in InferAsLossDivisor()
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| D | matmul_info.cc | 144 … << ShapeToString(long_strategy) << ", short strategy is " << ShapeToString(short_strategy); in CheckRelevantDimension()
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| D | reduce_method_info.cc | 525 std::string dev_matrix_shape_str = ShapeToString(dev_matrix_shape_); in InferAsLossDivisor()
526 std::string output_tensor_map_str = ShapeToString(outputs_tensor_map_[0]); in InferAsLossDivisor()
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| D | dropout_do_mask_info.cc | 253 MS_LOG(DEBUG) << "The input slice shape droupout is " << ShapeToString(input_slice_shape); in GetDropoutGenMaskReplaceOp()
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| D | tensordot_info.cc | 180 MS_LOG(INFO) << name_ << ": The dev matrix is " << ShapeToString(dev_matrix_shape_); in InferDevMatrixShape()
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| D | reshape_info.cc | 134 << ShapeToString(output_layout_.slice_shape().array()); in ComputeReplaceOp()
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| /third_party/mindspore/mindspore/ccsrc/frontend/parallel/ |
| D | device_matrix.cc | 108 MS_LOG(EXCEPTION) << "Invalid dev shape: " << ShapeToString(dev_shape); in ConvertRankToCoordinate()
164 std::string ShapeToString(const Shape &shape) { in ShapeToString() function
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| D | device_matrix.h | 50 std::string ShapeToString(const Shape &shape);
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| D | step_parallel.cc | 604 std::string shape_str = ShapeToString(shape); in SplitTensor()
1311 MS_LOG(INFO) << "No: " << i << " input's shape: " << ShapeToString(shape_list[0][i]); in NewOperatorInstance()
1364 MS_LOG(INFO) << "The parameter shape is " << ShapeToString(input_shapes[0]); in GetRefKeyNodeShape()
2366 … MS_LOG(INFO) << "The shape of sens is " << ShapeToString(sens_shape) << ", no need to split sens"; in SplitSens()
2372 … << ShapeToString(sens_shape) << ", loss shape is " << ShapeToString(loss_shape); in SplitSens()
2374 MS_LOG(INFO) << "The shape of sens is " << ShapeToString(sens_shape) << ", split it."; in SplitSens()
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| /third_party/mindspore/mindspore/ccsrc/cxx_api/graph/acl/ |
| D | model_process.cc | 72 static std::string ShapeToString(const std::vector<int64_t> &shape) { in ShapeToString() function
379 …MS_LOG(INFO) << "Note: input " << i << " shape not match, required " << ShapeToString(input_infos_… in CheckAndInitInput()
380 << ", given " << ShapeToString(inputs[i].Shape()); in CheckAndInitInput()
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| /third_party/mindspore/mindspore/lite/src/runtime/kernel/ascend310/src/ |
| D | model_process.cc | 86 static std::string ShapeToString(const std::vector<int64_t> &shape) { in ShapeToString() function
354 …MS_LOG(ERROR) << "Note: input " << i << " shape not match, required " << ShapeToString(tensor_info… in CheckTensorByTensorInfo()
355 << ", given " << ShapeToString(tensor[i].Shape()); in CheckTensorByTensorInfo()
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| /third_party/mindspore/mindspore/core/ir/ |
| D | tensor.cc | 59 static std::string ShapeToString(const ShapeVector &shape) { in ShapeToString() function
616 buf << "Tensor(shape=" << ShapeToString(shape_) << ", dtype=" << dtype->ToString() << ", value="; in ToStringInternal()
641 buf << "Tensor(shape=" << ShapeToString(shape_) << ", dtype=" << dtype->ToString() in ToStringRepr()
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| /third_party/mindspore/mindspore/ccsrc/frontend/parallel/auto_parallel/ |
| D | operator_costmodel.cc | 1395 MS_LOG(EXCEPTION) << "Invalid slice shape " << ShapeToString(slice_shape); in GetBackwardCommCost()
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