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Rajeev Rao aff45dd565 TensorRT OSS 8.0 release
Signed-off-by: Rajeev Rao <rajeevrao@nvidia.com>
2021-07-02 16:35:44 -07:00

111 lines
4.5 KiB
C++

/*
* Copyright (c) 2021, NVIDIA CORPORATION. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Docstrings for the pyCaffe parser bindings.
#pragma once
namespace tensorrt
{
namespace ICaffeParserDoc
{
constexpr const char* descr = R"trtdoc(
This class is used for parsing Caffe models. It allows users to export models trained using Caffe to TRT.
:ivar plugin_factory_v2: :class:`ICaffePluginFactoryV2` The ICaffePluginFactory used to create the user defined plugins.
:ivar plugin_namespace: :class:`str` The namespace used to lookup and create plugins in the network.
:ivar protobuf_buffer_size: :class:`int` The buffer size for the parsing and storage of the learned model.
:ivar error_recorder: :class:`IErrorRecorder` Application-implemented error reporting interface for TensorRT objects.
)trtdoc";
constexpr const char* parse = R"trtdoc(
Parse a prototxt file and a binaryproto Caffe model to extract network definition and weights associated with the network, respectively.
:arg deploy: The plain text, prototxt file used to define the network definition.
:arg model: The binaryproto Caffe model that contains the weights associated with the network.
:arg network: Network in which the CaffeParser will fill the layers.
:arg dtype: The type to which the weights will be transformed.
:returns: An :class:`IBlobNameToTensor` object that contains the extracted data.
)trtdoc";
constexpr const char* parse_buffer = R"trtdoc(
Parse a prototxt file and a binaryproto Caffe model to extract network definition and weights associated with the network, respectively.
:arg deploy_buffer: The memory buffer containing the plain text deploy prototxt used to define the network definition.
:arg model_buffer: The binaryproto Caffe memory buffer that contains the weights associated with the network.
:arg network: Network in which the CaffeParser will fill the layers.
:arg dtype: The type to which the weights will be transformed.
:returns: An :class:`IBlobNameToTensor` object that contains the extracted data.
)trtdoc";
constexpr const char* parse_binary_proto = R"trtdoc(
Parse and extract data stored in binaryproto file. The binaryproto file contains data stored in a binary blob. :func:`parse_binary_proto` converts it to an :class:`numpy.ndarray` object.
:arg filename: Path to file containing binary proto.
:returns: :class:`numpy.ndarray` An array that contains the extracted data.
)trtdoc";
} // namespace ICaffeParserDoc
namespace IBlobNameToTensorDoc
{
constexpr const char* descr = R"trtdoc(
This class is used to store and query :class:`ITensor` s after they have been extracted from a Caffe model using the :class:`CaffeParser` .
)trtdoc";
constexpr const char* find = R"trtdoc(
Given a blob name, this function returns an :class:`ITensor` object.
:arg name: Caffe blob name for which the user wants the corresponding :class:`ITensor` .
:returns: A :class:`ITensor` object corresponding to the queried name. If no such :class:`ITensor` exists, then an empty object is returned.
)trtdoc";
} // namespace IBlobNameToTensorDoc
namespace ICaffePluginFactoryV2Doc
{
constexpr const char* descr = R"trtdoc(
Plugin factory used to configure plugins.
)trtdoc";
constexpr const char* is_plugin_v2 = R"trtdoc(
A user implemented function that determines if a layer configuration is provided by an :class:`IPluginV2` .
:arg layer_name: Name of the layer which the user wishes to validate.
:returns: True if the the layer configuration is provided by an :class:`IPluginV2` .
)trtdoc";
constexpr const char* create_plugin = R"trtdoc(
Creates a plugin.
:arg layer_name: Name of layer associated with the plugin.
:arg weights: Weights used for the layer.
:returns: The newly created :class:`IPluginV2` .
)trtdoc";
} // namespace ICaffePluginFactoryV2Doc
namespace FreeFunctionsDoc
{
constexpr const char* shutdown_protobuf_library = R"trtdoc(
Shuts down protocol buffers library.
)trtdoc";
}
} // namespace tensorrt