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117 lines
3.2 KiB
117 lines
3.2 KiB
/**
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* Copyright 2019-2020 Huawei Technologies Co., Ltd
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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/*!
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* \file logging_ops.h
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* \brief
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*/
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#ifndef OPS_BUILT_IN_OP_PROTO_INC_LOGGING_OPS_H_
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#define OPS_BUILT_IN_OP_PROTO_INC_LOGGING_OPS_H_
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#include "graph/operator.h"
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#include "graph/operator_reg.h"
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namespace ge {
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/**
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*@brief Provides the time since epoch in seconds . \n
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*@par Outputs:
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*y: A Tensor of type float64. The timestamp as a double for seconds since
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the Unix epoch . \n
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*@attention Constraints:
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*The timestamp is computed when the op is executed, not when it is added to
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the graph . \n
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*@par Third-party framework compatibility
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*Compatible with tensorflow Timestamp operator . \n
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*@par Restrictions:
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*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
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*/
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REG_OP(Timestamp)
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.OUTPUT(y, TensorType({DT_DOUBLE}))
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.OP_END_FACTORY_REG(Timestamp)
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/**
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*@brief Asserts that the given condition is true . \n
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*@par Inputs:
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*If input_condition evaluates to false, print the list of tensors in data.
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*Inputs include:
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*@li input_condition: The condition to evaluate.
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*@li input_data: The tensors to print out when condition is false .
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It's a dynamic input. \n
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*@par Attributes:
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*summarize: Print this many entries of each tensor . \n
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*@par Third-party framework compatibility
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*Compatible with tensorflow Assert operator . \n
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*@par Restrictions:
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*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
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*/
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REG_OP(Assert)
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.INPUT(input_condition, TensorType{DT_BOOL})
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.DYNAMIC_INPUT(input_data, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8,
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DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32,
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DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING}))
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.ATTR(summarize, Int, 3)
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.OP_END_FACTORY_REG(Assert)
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/**
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*@brief Prints a tensor . \n
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*@par Inputs:
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*x: The tensor to print, it is a dynamic_input . \n
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*Compatible with aicpu Print operator . \n
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*@par Restrictions:
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*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
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*/
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REG_OP(Print)
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.DYNAMIC_INPUT(x, TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32,
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DT_INT64, DT_UINT32, DT_UINT64, DT_DOUBLE, DT_STRING}))
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.OP_END_FACTORY_REG(Print)
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/**
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*@brief Prints a string scalar . \n
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*@par Inputs:
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*The dtype of input x must be string. Inputs include:
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*x: The string scalar to print . \n
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*@par Attributes:
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*output_stream: A string specifying the output stream or logging level
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to print to . \n
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*@par Third-party framework compatibility
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*Compatible with tensorflow PrintV2 operator . \n
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*@par Restrictions:
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*Warning: THIS FUNCTION IS EXPERIMENTAL. Please do not use.
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*/
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REG_OP(PrintV2)
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.INPUT(x, TensorType({DT_STRING}))
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.ATTR(output_stream, String, "stderr")
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.OP_END_FACTORY_REG(PrintV2)
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} // namespace ge
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#endif // OPS_BUILT_IN_OP_PROTO_INC_LOGGING_OPS_H_
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