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### File: onnx/defs/data_type_utils.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#ifndef ONNX_DATA_TYPE_UTILS_H
#define ONNX_DATA_TYPE_UTILS_H
#include <mutex>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include "onnx/common/common.h"
#include "onnx/onnx_pb.h"
namespace ONNX_NAMESPACE {
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/data_type_utils.h", "license": "apache-2.0", "size": 2456} |
### File: onnx/defs/function.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/function.h"
#include <map>
#include "onnx/defs/schema.h"
#include "onnx/string_utils.h"
namespace ONNX_NAMESPACE {
std::string InteralTensorNameGenerator(const std::string& node_name, const std::string& internal_name) ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/function.cc", "license": "apache-2.0", "size": 5541} |
### File: onnx/defs/function.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <mutex>
#include <string>
#include <unordered_map>
#include <utility>
#include <vector>
#include "attr_proto_util.h"
#include "onnx/common/constants.h"
#include "onnx/common/status.h"
#include "onnx/defs/parser.h"
#inc... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/function.h", "license": "apache-2.0", "size": 6095} |
### File: onnx/defs/gen_doc.py
#!/usr/bin/env python
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
import os
from collections import defaultdict
from typing import Any, Dict, List, NamedTuple, Sequence, Set, Tuple
import numpy as np
from onnx import defs, helper
from onnx.backend.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/gen_doc.py", "license": "apache-2.0", "size": 16397} |
### File: onnx/defs/gen_shape_inference_information.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from onnx import defs
def main() -> None:
# domain -> support level -> name -> [schema]
with_inference = []
without_inference = []
for schema in defs.get_all_schema... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/gen_shape_inference_information.py", "license": "apache-2.0", "size": 840} |
### File: onnx/defs/generator/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <cmath>
#include "onnx/defs/function.h"
#include "onnx/defs/generator/utils.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* Constant_ver19_doc = R"DOC(
This operator produc... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/generator/defs.cc", "license": "apache-2.0", "size": 27266} |
### File: onnx/defs/generator/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <functional>
#include "onnx/defs/generator/utils.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* Constant_ver13_doc = R"DOC(
This operator produces a constant tensor. Exactl... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/generator/old.cc", "license": "apache-2.0", "size": 10557} |
### File: onnx/defs/generator/utils.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/generator/utils.h"
#include <algorithm>
#include <cmath>
namespace ONNX_NAMESPACE {
void ConstantOpInference(InferenceContext& ctx) {
auto* value = ctx.getAttribute("value");
auto* sparse_value = ctx.getAttr... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/generator/utils.cc", "license": "apache-2.0", "size": 3627} |
### File: onnx/defs/generator/utils.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
void ConstantOpInference(InferenceContext& ctx);
} // namespace ONNX_NAMESPACE
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/generator/utils.h", "license": "apache-2.0", "size": 200} |
### File: onnx/defs/image/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <functional>
#include "onnx/defs/data_type_utils.h"
#include "onnx/defs/schema.h"
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
static const char* ImageDecoder_ver20_doc =
R"DOC(Loads and decodes and i... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/image/defs.cc", "license": "apache-2.0", "size": 2765} |
### File: onnx/defs/logical/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
inline void unaryLogicalOpInference(InferenceContext& ctx) {
// Type inference
updateOutputElemType(ctx, 0, TensorProto::BOOL);
// Shape inf... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/logical/defs.cc", "license": "apache-2.0", "size": 11824} |
### File: onnx/defs/logical/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
using namespace ONNX_NAMESPACE;
namespace ONNX_NAMESPACE {
std::function<void(OpSchema&)> BinaryLogicDocGenerator_opset12(const char* name) {
return [=](OpSchema& schema) {
std::string doc;
POPUL... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/logical/old.cc", "license": "apache-2.0", "size": 10060} |
### File: onnx/defs/math/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <functional>
#include "onnx/common/assertions.h"
#include "onnx/defs/data_type_utils.h"
#include "onnx/defs/function.h"
#include "onnx/defs/math/utils.h"
#include "onnx/defs/schema.h"
#include "onnx/defs/tenso... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/math/defs.cc", "license": "apache-2.0", "size": 145939} |
### File: onnx/defs/math/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <functional>
#include "onnx/defs/function.h"
#include "onnx/defs/math/utils.h"
#include "onnx/defs/schema.h"
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
std::function<void(OpSchema&)> MathDocGenerator_opse... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/math/old.cc", "license": "apache-2.0", "size": 127899} |
### File: onnx/defs/math/utils.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "onnx/defs/shape_inference.h"
#include "onnx/defs/tensor_proto_util.h"
#include "onnx/onnx_pb.h"
namespace ONNX_NAMESPACE {
namespace defs {
namespace math {
namespace utils {
template <typename T>
T GetScalarValueFr... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/math/utils.h", "license": "apache-2.0", "size": 1095} |
### File: onnx/defs/nn/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <cmath>
#include "onnx/common/assertions.h"
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
const char* pads_doc =
"Padding for the beginning and ending along each s... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/nn/defs.cc", "license": "apache-2.0", "size": 123428} |
### File: onnx/defs/nn/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <cmath>
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* Dropout_ver12_doc = R"DOC(
Dropout takes an input floating-point tensor, an optional input ratio (floating-point sc... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/nn/old.cc", "license": "apache-2.0", "size": 99110} |
### File: onnx/defs/object_detection/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
using namespace ONNX_NAMESPACE;
namespace ONNX_NAMESPACE {
static const char* RoiAlign_ver16_doc = R"DOC(
Region of Interest (RoI) align operation described in the
[Mask R-CNN paper](https://arxiv... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/object_detection/defs.cc", "license": "apache-2.0", "size": 9319} |
### File: onnx/defs/object_detection/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
using namespace ONNX_NAMESPACE;
namespace ONNX_NAMESPACE {
static const char* RoiAlign_ver10_doc = R"DOC(
Region of Interest (RoI) align operation described in the
[Mask R-CNN paper](https://arxiv.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/object_detection/old.cc", "license": "apache-2.0", "size": 8155} |
### File: onnx/defs/operator_sets.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
// Forward declarations for ai.onnx version 1
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Abs);
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(Onnx, 1, Add);
clas... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/operator_sets.h", "license": "apache-2.0", "size": 74736} |
### File: onnx/defs/operator_sets_ml.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#ifdef ONNX_ML
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
// Forward declarations for ai.onnx.ml version 1
class ONNX_OPERATOR_SET_SCHEMA_CLASS_NAME(OnnxML, 1, ArrayFeatureExtractor);
class ONNX_OPERATOR... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/operator_sets_ml.h", "license": "apache-2.0", "size": 4380} |
### File: onnx/defs/operator_sets_preview.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
// Declare training operators.
class ONNX_PREVIEW_OPERATOR_SET_SCHEMA_CLASS_NAME(1, Gradient);
class ONNX_PREVIEW_OPERATOR_SET_SCHEMA_CLASS_NAME(1, Momentu... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/operator_sets_preview.h", "license": "apache-2.0", "size": 1236} |
### File: onnx/defs/operator_sets_training.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
// Declare training operators.
// Iterate over schema from ai.onnx.training version 1
class OpSet_OnnxTraining_ver1 {
public:
static void ForEachSchema... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/operator_sets_training.h", "license": "apache-2.0", "size": 494} |
### File: onnx/defs/optional/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <numeric>
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static std::vector<std::string> optional_and_tensor_types() {
auto optional_types = OpSchema::all_optio... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/optional/defs.cc", "license": "apache-2.0", "size": 6516} |
### File: onnx/defs/optional/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <numeric>
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* OptionalHasElement_ver1_doc = R"DOC(
Returns true if the optional-type input contains a... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/optional/old.cc", "license": "apache-2.0", "size": 3413} |
### File: onnx/defs/parser.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
// Experimental language syntax and parser for ONNX. Please note that the syntax as formalized
// by this parser is preliminary and may change.
#include "onnx/defs/parser.h"
#include <iostream>
#include <stdexcept>
#include <string>
#include... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/parser.cc", "license": "apache-2.0", "size": 25349} |
### File: onnx/defs/parser.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
// Experimental language syntax and parser for ONNX. Please note that the syntax as formalized
// by this parser is preliminary and may change.
#pragma once
#include <ctype.h>
#include <iostream>
#include <stdexcept>
#include <string>
#inclu... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/parser.h", "license": "apache-2.0", "size": 12445} |
### File: onnx/defs/printer.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/printer.h"
#include <iomanip>
#include <vector>
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
using MetaDataProp = StringStringEntryProto;
using MetaDataProps = google::protobuf::RepeatedPtrField<... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/printer.cc", "license": "apache-2.0", "size": 13240} |
### File: onnx/defs/printer.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <iostream>
#include <string>
#include "onnx/defs/parser.h"
#include "onnx/onnx_pb.h"
namespace ONNX_NAMESPACE {
std::ostream& operator<<(std::ostream& os, const TensorShapeProto_Dimension& dim);
std::ostream& operato... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/printer.h", "license": "apache-2.0", "size": 1385} |
### File: onnx/defs/quantization/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* QuantizeLinear_ver19_doc = R"DOC(
The linear quantization operator. It consumes a high precision tensor, a scale, and a ze... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/quantization/defs.cc", "license": "apache-2.0", "size": 10048} |
### File: onnx/defs/quantization/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* QuantizeLinear_ver13_doc = R"DOC(
The linear quantization operator. It consumes a high precision tensor, a scale, and a zer... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/quantization/old.cc", "license": "apache-2.0", "size": 8995} |
### File: onnx/defs/reduction/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <functional>
#include "onnx/defs/function.h"
#include "onnx/defs/reduction/utils.h"
#include "onnx/defs/schema.h"
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
ONNX_OPERATOR_SET_SC... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/reduction/defs.cc", "license": "apache-2.0", "size": 6132} |
### File: onnx/defs/reduction/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <functional>
#include "onnx/defs/reduction/utils.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
std::vector<std::string> GetSupportedDataTypesForReductionOps_opset12(bool supports8bit) {
i... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/reduction/old.cc", "license": "apache-2.0", "size": 18988} |
### File: onnx/defs/reduction/utils.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/reduction/utils.h"
#include <algorithm>
#include <string>
#include <vector>
namespace ONNX_NAMESPACE {
std::vector<std::string> GetSupportedDataTypesForReductionOps(bool supports8bit, bool supports_bool) {
aut... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/reduction/utils.cc", "license": "apache-2.0", "size": 6212} |
### File: onnx/defs/reduction/utils.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <cmath>
#include "onnx/defs/schema.h"
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
// Constants used to indicate value returned by reduction of an empty set of values.
constexpr const ch... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/reduction/utils.h", "license": "apache-2.0", "size": 1519} |
### File: onnx/defs/rnn/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
void RNNShapeInference(InferenceContext& ctx) {
TensorShapeProto::Dimension num_directions, seq_length, batch_size, hidden_size;
auto direction = getAttribute(ctx, "direction", "... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/rnn/defs.cc", "license": "apache-2.0", "size": 19570} |
### File: onnx/defs/rnn/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
std::function<void(OpSchema&)> RNNDocGeneratorOld(const char* /*name*/) {
return [=](OpSchema& schema) {
schema.Attr(
"direction",
"Specify if the RNN is forward,... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/rnn/old.cc", "license": "apache-2.0", "size": 39020} |
### File: onnx/defs/schema.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
#include <stdexcept>
#include <unordered_set>
#include <utility>
#include "onnx/checker.h"
#include "onnx/defs/operator_sets.h"
#include "onnx/defs/operator_sets_preview.h"
#include "onnx/defs/operator_sets_trai... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/schema.cc", "license": "apache-2.0", "size": 43403} |
### File: onnx/defs/schema.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <climits>
#include <cstring>
#include <functional>
#include <initializer_list>
#include <iostream>
#include <limits>
#include <map>
#include <memory>
#include <ostream>
#include <set>
#include <string>
#include <tuple>
#i... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/schema.h", "license": "apache-2.0", "size": 57834} |
### File: onnx/defs/sequence/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <numeric>
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* SequenceEmpty_ver11_doc = R"DOC(
Construct an empty tensor sequence, with given data ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/sequence/defs.cc", "license": "apache-2.0", "size": 34034} |
### File: onnx/defs/shape_inference.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "shape_inference.h"
#include <vector>
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
// Note: for all methods below for propagating type or shape, callers are
// responsible to handle optional inputs/... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/shape_inference.cc", "license": "apache-2.0", "size": 21872} |
### File: onnx/defs/shape_inference.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <algorithm>
#include <functional>
#include <string>
#include <utility>
#include <vector>
#include "onnx/defs/data_type_utils.h"
#include "onnx/proto_utils.h"
#include "onnx/string_utils.h"
namespace ONNX_NAMESP... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/shape_inference.h", "license": "apache-2.0", "size": 33786} |
### File: onnx/defs/tensor/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <cmath>
#include <numeric>
#include "onnx/defs/data_propagators.h"
#include "onnx/defs/function.h"
#include "onnx/defs/tensor/utils.h"
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
st... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor/defs.cc", "license": "apache-2.0", "size": 162706} |
### File: onnx/defs/tensor/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <cmath>
#include <numeric>
#include "onnx/defs/data_propagators.h"
#include "onnx/defs/function.h"
#include "onnx/defs/tensor/utils.h"
namespace ONNX_NAMESPACE {
static const char* Cast_ver13_doc = R"DOC(
T... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor/old.cc", "license": "apache-2.0", "size": 228134} |
### File: onnx/defs/tensor/utils.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/tensor/utils.h"
#include <algorithm>
#include <limits>
#include <numeric>
#include <string>
#include <utility>
#include <vector>
namespace ONNX_NAMESPACE {
void resizeShapeInferenceHelper(
const TensorShapeProto... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor/utils.cc", "license": "apache-2.0", "size": 18765} |
### File: onnx/defs/tensor/utils.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <cmath>
#include <vector>
#include "onnx/defs/schema.h"
#include "onnx/defs/tensor_proto_util.h"
namespace ONNX_NAMESPACE {
// The below is called by ops after opset 11, inclusively.
void resizeShapeInference(Infe... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor/utils.h", "license": "apache-2.0", "size": 1603} |
### File: onnx/defs/tensor_proto_util.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "tensor_proto_util.h"
#include <string>
#include <vector>
#include "onnx/common/platform_helpers.h"
#include "onnx/defs/data_type_utils.h"
#include "onnx/defs/shape_inference.h"
namespace ONNX_NAMESPACE {
#define DEFINE... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor_proto_util.cc", "license": "apache-2.0", "size": 11786} |
### File: onnx/defs/tensor_proto_util.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <vector>
#include "onnx/onnx-operators_pb.h"
namespace ONNX_NAMESPACE {
template <typename T>
TensorProto ToTensor(const T& value);
template <typename T>
TensorProto ToTensor(const std::vector<T>& values);
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor_proto_util.h", "license": "apache-2.0", "size": 399} |
### File: onnx/defs/tensor_util.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "tensor_util.h"
#include <string>
#include <vector>
#include "onnx/common/platform_helpers.h"
namespace ONNX_NAMESPACE {
#define DEFINE_PARSE_DATA(type, typed_data_fetch) \
template <> ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor_util.cc", "license": "apache-2.0", "size": 3395} |
### File: onnx/defs/tensor_util.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include <vector>
#include "onnx/common/ir.h"
namespace ONNX_NAMESPACE {
template <typename T>
const std::vector<T> ParseData(const Tensor* tensor);
} // namespace ONNX_NAMESPACE
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/tensor_util.h", "license": "apache-2.0", "size": 244} |
### File: onnx/defs/text/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* StringConcat_doc =
R"DOC(StringConcat concatenates string tensors elementwise (with NumPy-style broadcasting support))DOC";
ONNX_OPERATOR_SET_SCHEMA(
Strin... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/text/defs.cc", "license": "apache-2.0", "size": 10376} |
### File: onnx/defs/traditionalml/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
#ifdef ONNX_ML
namespace ONNX_NAMESPACE {
static const char* ArrayFeatureExtractor_ver1_doc = R"DOC(
Select elements of the input tensor based on the indices passed.<br>
The indices are applie... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/traditionalml/defs.cc", "license": "apache-2.0", "size": 55308} |
### File: onnx/defs/traditionalml/old.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/defs/schema.h"
#ifdef ONNX_ML
namespace ONNX_NAMESPACE {
static const char* LabelEncoder_ver1_doc = R"DOC(
Converts strings to integers and vice versa.<br>
If the string default value is set, it will convert ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/traditionalml/old.cc", "license": "apache-2.0", "size": 18054} |
### File: onnx/defs/training/defs.cc
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <algorithm>
#include <cmath>
#include "onnx/defs/function.h"
#include "onnx/defs/schema.h"
namespace ONNX_NAMESPACE {
static const char* Gradient_ver1_doc = R"DOC(
Gradient operator computes the partial derivatives of a spec... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/defs/training/defs.cc", "license": "apache-2.0", "size": 27885} |
### File: onnx/examples/Protobufs.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2023-04-04T17:07:50.826940Z",
"iopub.status.busy": "2023-04-04T17:07:50.826940Z",
"iopub.status.idle": "2023-04-04T17:07:51.182950Z",
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Jupyter Notebook", "repo_name": "minhanghuang/onnx", "path": "onnx/examples/Protobufs.ipynb", "license": "apache-2.0", "size": 16506} |
### File: onnx/examples/check_model.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-06T20:16:44.956148Z",
"iopub.status.busy": "2023-03-06T20:16:44.956148Z",
"iopub.status.idle": "2023-03-06T20:16:45.015963Z",
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Jupyter Notebook", "repo_name": "minhanghuang/onnx", "path": "onnx/examples/check_model.ipynb", "license": "apache-2.0", "size": 3053} |
### File: onnx/examples/load_model.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-06T20:16:24.630453Z",
"iopub.status.busy": "2023-03-06T20:16:24.630453Z",
"iopub.status.idle": "2023-03-06T20:16:24.689518Z",
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Jupyter Notebook", "repo_name": "minhanghuang/onnx", "path": "onnx/examples/load_model.ipynb", "license": "apache-2.0", "size": 2644} |
### File: onnx/examples/make_model.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2023-03-06T20:16:09.220355Z",
"iopub.status.busy": "2023-03-06T20:16:09.219355Z",
"iopub.status.idle": "2023-03-06T20:16:09.481504Z",
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Jupyter Notebook", "repo_name": "minhanghuang/onnx", "path": "onnx/examples/make_model.ipynb", "license": "apache-2.0", "size": 4603} |
### File: onnx/examples/np_array_tensorproto.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Original Numpy array:\n",
"[[1. 2. 3.]\n",
" [4. 5. 6.]]\n",
"\n"
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Jupyter Notebook", "repo_name": "minhanghuang/onnx", "path": "onnx/examples/np_array_tensorproto.ipynb", "license": "apache-2.0", "size": 3415} |
### File: onnx/examples/save_model.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The model is saved.\n"
]
}
],
"source": [
"import onnx\n",
"import os\n",... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Jupyter Notebook", "repo_name": "minhanghuang/onnx", "path": "onnx/examples/save_model.ipynb", "license": "apache-2.0", "size": 1189} |
### File: onnx/examples/shape_inference.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Before shape inference, the shape info of Y is:\n",
"[]\n"
]
}
],
"sou... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Jupyter Notebook", "repo_name": "minhanghuang/onnx", "path": "onnx/examples/shape_inference.ipynb", "license": "apache-2.0", "size": 2820} |
### File: onnx/external_data_helper.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
import os
import re
import sys
import uuid
from itertools import chain
from typing import Callable, Iterable, Optional
from onnx.onnx_pb import AttributeProto, GraphProto, ModelProto, TensorProto
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/external_data_helper.py", "license": "apache-2.0", "size": 11764} |
### File: onnx/frontend/__init__.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/frontend/__init__.py", "license": "apache-2.0", "size": 82} |
### File: onnx/helper.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
import collections.abc
import numbers
import struct
from cmath import isnan
from typing import (
Any,
Callable,
Dict,
KeysView,
List,
Optional,
Sequence,
Tuple,
TypeVar,
Un... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/helper.py", "license": "apache-2.0", "size": 51943} |
### File: onnx/hub.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
"""ONNX Model Hub
This implements the python client for the ONNX model hub.
"""
import hashlib
import json
import os
import sys
import tarfile
from io import BytesIO
from os.path import join
from typing import IO, A... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/hub.py", "license": "apache-2.0", "size": 17323} |
### File: onnx/inliner.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import onnx
import onnx.onnx_cpp2py_export.inliner as C # noqa: N812
def inline_local_functions(
model: onnx.ModelProto, convert_version: bool = False
) -> onnx.ModelPr... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/inliner.py", "license": "apache-2.0", "size": 1720} |
### File: onnx/inliner/inliner.cc
// Copyright (c) ONNX Project Contributors
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include "onnx/inliner/inliner.h"
#include <functional>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <utility>
#include <vector>
#include "onnx/common/assertions... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/inliner/inliner.cc", "license": "apache-2.0", "size": 20585} |
### File: onnx/inliner/inliner.h
// Copyright (c) ONNX Project Contributors
/*
* SPDX-License-Identifier: Apache-2.0
*/
#include <memory>
#include <string>
#include <utility>
#include <vector>
#include "onnx/onnx_pb.h"
namespace ONNX_NAMESPACE {
namespace inliner {
// A FunctionId is a pair of strings (domain, f... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/inliner/inliner.h", "license": "apache-2.0", "size": 1780} |
### File: onnx/mapping.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
import warnings
from typing import Any, Dict, NamedTuple, Union, cast
import numpy as np
from onnx import OptionalProto, SequenceProto, TensorProto
class TensorDtypeMap(NamedTuple):
np_dtype: np.dtype
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/mapping.py", "license": "apache-2.0", "size": 7854} |
### File: onnx/numpy_helper.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
import sys
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
import numpy as np
from onnx import MapProto, OptionalProto, SequenceProto, TensorProto, helper
from onnx.external_data_hel... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/numpy_helper.py", "license": "apache-2.0", "size": 21426} |
### File: onnx/onnx-data_pb.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
// clang-format off
#include "onnx/onnx_pb.h"
#include "onnx/onnx-data.pb.h"
// clang-format on
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx-data_pb.h", "license": "apache-2.0", "size": 157} |
### File: onnx/onnx-operators_pb.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#pragma once
#include "onnx/onnx_pb.h"
#ifdef ONNX_ML
#include "onnx/onnx-operators-ml.pb.h"
#else
#include "onnx/onnx-operators.pb.h"
#endif
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx-operators_pb.h", "license": "apache-2.0", "size": 190} |
### File: onnx/onnx_cpp2py_export/__init__.pyi
# This is __init__.pyi, not __init__.py
# This directory is only considered for typing information, not for actual
# module implementations.
ONNX_ML: bool = ...
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/__init__.pyi", "license": "apache-2.0", "size": 162} |
### File: onnx/onnx_cpp2py_export/checker.pyi
class CheckerContext:
ir_version: int = ...
opset_imports: dict[str, int] = ...
class ValidationError(Exception): ...
def check_value_info(bytes: bytes, checker_context: CheckerContext) -> None: ...
def check_tensor(bytes: bytes, checker_context: CheckerContext) -... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/checker.pyi", "license": "apache-2.0", "size": 880} |
### File: onnx/onnx_cpp2py_export/defs.pyi
"""Submodule containing all the ONNX schema definitions."""
from __future__ import annotations
from typing import Sequence, overload
from onnx import AttributeProto, FunctionProto
class SchemaError(Exception): ...
class OpSchema:
def __init__(
self,
nam... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/defs.pyi", "license": "apache-2.0", "size": 6296} |
### File: onnx/onnx_cpp2py_export/inliner.pyi
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
def inline_local_functions(model: bytes, convert_version: bool) -> bytes:
"""
Inlines calls to model-local function in input model and returns it.
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/inliner.pyi", "license": "apache-2.0", "size": 771} |
### File: onnx/onnx_cpp2py_export/parser.pyi
def parse_model(model: str) -> tuple[bool, bytes, bytes]:
"""
Returns (success-flag, error-message, serialized-proto).
If success-flag is true, then serialized-proto contains the parsed ModelProto.
Otherwise, error-message contains a string describing the pa... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/parser.pyi", "license": "apache-2.0", "size": 1214} |
### File: onnx/onnx_cpp2py_export/printer.pyi
def function_to_text(serialized_function_proto: bytes) -> str: ...
def graph_to_text(serialized_graph_proto: bytes) -> str: ...
def model_to_text(serialized_model_proto: bytes) -> str: ...
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/printer.pyi", "license": "apache-2.0", "size": 189} |
### File: onnx/onnx_cpp2py_export/shape_inference.pyi
class InferenceError(Exception): ...
def infer_shapes(
b: bytes, check_type: bool, strict_mode: bool, data_prop: bool
) -> bytes: ...
def infer_shapes_path(
model_path: str,
output_path: str,
check_type: bool,
strict_mode: bool,
data_prop:... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/shape_inference.pyi", "license": "apache-2.0", "size": 406} |
### File: onnx/onnx_cpp2py_export/version_converter.pyi
class ConvertError(Exception): ...
# Where the first bytes are a serialized ModelProto
def convert_version(bytes: bytes, target: int) -> bytes: ...
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_cpp2py_export/version_converter.pyi", "license": "apache-2.0", "size": 149} |
### File: onnx/onnx_pb.h
/*
* SPDX-License-Identifier: Apache-2.0
*/
#ifndef ONNX_ONNX_PB_H
#define ONNX_ONNX_PB_H
// Defines ONNX_EXPORT and ONNX_IMPORT. On Windows, this corresponds to
// different declarations (dllexport and dllimport). On Linux/Mac, it just
// resolves to the same "default visibility" setting.
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C", "repo_name": "minhanghuang/onnx", "path": "onnx/onnx_pb.h", "license": "apache-2.0", "size": 1715} |
### File: onnx/parser.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
import onnx
import onnx.onnx_cpp2py_export.parser as C # noqa: N812
class ParseError(Exception):
pass
def parse_model(model_text: str) -> onnx.ModelProto:
"""Parse a string to build a ModelProto.
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/parser.py", "license": "apache-2.0", "size": 1857} |
### File: onnx/printer.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from typing import Union
import onnx
import onnx.onnx_cpp2py_export.printer as C # noqa: N812
def to_text(proto: Union[onnx.ModelProto, onnx.FunctionProto, onnx.GraphProto]) -> str:
if isinstance(proto, ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/printer.py", "license": "apache-2.0", "size": 628} |
### File: onnx/proto_utils.h
// Copyright (c) ONNX Project Contributors
//
// SPDX-License-Identifier: Apache-2.0
#pragma once
#include <google/protobuf/io/coded_stream.h>
#include <google/protobuf/io/zero_copy_stream_impl_lite.h>
#include <string>
#include <vector>
#include "onnx/onnx_pb.h"
#ifdef ONNX_USE_LITE_P... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/proto_utils.h", "license": "apache-2.0", "size": 2208} |
### File: onnx/py_utils.h
// Copyright (c) ONNX Project Contributors
//
// SPDX-License-Identifier: Apache-2.0
#pragma once
#include <pybind11/pybind11.h>
#include "onnx/proto_utils.h"
namespace ONNX_NAMESPACE {
namespace py = pybind11;
template <typename Proto>
bool ParseProtoFromPyBytes(Proto* proto, const py::b... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "C++", "repo_name": "minhanghuang/onnx", "path": "onnx/py_utils.h", "license": "apache-2.0", "size": 545} |
### File: onnx/reference/__init__.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from onnx.reference.reference_evaluator import ReferenceEvaluator
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/__init__.py", "license": "apache-2.0", "size": 149} |
### File: onnx/reference/custom_element_types.py
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
import numpy as np
bfloat16 = np.dtype((np.uint16, {"bfloat16": (np.uint16, 0)}))
float8e4m3fn = np.dtype((np.uint8, {"e4m3fn": (np.uint8, 0)}))
float8e4m3fnuz = np.dtype((np.uint8, {"e4m... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/custom_element_types.py", "license": "apache-2.0", "size": 422} |
### File: onnx/reference/op_run.py
# SPDX-License-Identifier: Apache-2.0
from __future__ import annotations
import abc
from typing import Any, ClassVar, Iterable
import numpy as np
from onnx import TensorProto
from onnx.defs import get_all_schemas_with_history, get_schema, onnx_opset_version
from onnx.helper impor... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/op_run.py", "license": "apache-2.0", "size": 26431} |
### File: onnx/reference/ops/__init__.py
# Copyright (c) ONNX Project Contributors
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from onnx.reference.ops._op_list import load_op
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/__init__.py", "license": "apache-2.0", "size": 174} |
### File: onnx/reference/ops/_helpers.py
# Copyright (c) ONNX Project Contributors
# Copyright (c) ONNX Project Contributors
#
# SPDX-License-Identifier: Apache-2.0
from typing import Any, Dict, Union
from onnx.reference.op_run import OpRun, _split_class_name
def build_registered_operators_any_domain(
module_c... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/_helpers.py", "license": "apache-2.0", "size": 1877} |
### File: onnx/reference/ops/_op.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
from typing import Any, Dict
import numpy as np
from onnx.onnx_pb import NodeProto
from onnx.reference.op_run import OpRun, RuntimeTypeError
class OpRunUnary(OpRun):
"""
Ancestor to all unar... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/_op.py", "license": "apache-2.0", "size": 6641} |
### File: onnx/reference/ops/_op_common_indices.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
def _get_indices(i, shape): # type: ignore
res = np.empty((len(shape),), dtype=np.int64)
k = len(shape) - 1
while k > 0:
m = i % shape[k]
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/_op_common_indices.py", "license": "apache-2.0", "size": 734} |
### File: onnx/reference/ops/_op_common_pool.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
import itertools
from typing import Optional, Tuple
import numpy as np
from onnx.reference.op_run import OpRun
from onnx.reference.ops._op_common_indices import _get_index, _get_indices
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/_op_common_pool.py", "license": "apache-2.0", "size": 10440} |
### File: onnx/reference/ops/_op_common_random.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from onnx.helper import tensor_dtype_to_np_dtype
from onnx.reference.op_run import OpRun
class _CommonRandom(OpRun):
def __init__(self, onnx_node, run_params): ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/_op_common_random.py", "license": "apache-2.0", "size": 1865} |
### File: onnx/reference/ops/_op_common_window.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from onnx.helper import tensor_dtype_to_np_dtype
from onnx.reference.op_run import OpRun
class _CommonWindow(OpRun):
@staticmethod
def _begin(size, periodic,... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/_op_common_window.py", "license": "apache-2.0", "size": 689} |
### File: onnx/reference/ops/_op_list.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
"""
Every class imported in this module defines an implementation of
an operator of the main domain. Any class name uses `_` to specify a
version defined in a specific opset. The class name without... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/_op_list.py", "license": "apache-2.0", "size": 16735} |
### File: onnx/reference/ops/aionnx_preview_training/__init__.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
from onnx.reference.ops.aionnx_preview_training._op_list import load_op
from onnx.reference.ops.aionnx_preview_training._op_run_training import OpRunTraining
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/aionnx_preview_training/__init__.py", "license": "apache-2.0", "size": 240} |
### File: onnx/reference/ops/aionnx_preview_training/_op_list.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
import textwrap
from typing import Any, Dict
from typing import Optional as TOptional
from typing import Union
from onnx.reference.op_run import OpFunction
from onnx.refer... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/aionnx_preview_training/_op_list.py", "license": "apache-2.0", "size": 3062} |
### File: onnx/reference/ops/aionnx_preview_training/_op_run_training.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
from onnx.reference.op_run import OpRun
class OpRunTraining(OpRun):
op_domain = "ai.onnx.preview.training"
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/aionnx_preview_training/_op_run_training.py", "license": "apache-2.0", "size": 196} |
### File: onnx/reference/ops/aionnx_preview_training/op_adagrad.py
# Copyright (c) ONNX Project Contributors
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from onnx.reference.ops.aionnx_preview_training._op_run_training import OpRunTraining
def _apply_adagrad(r, t, x, g, h, norm_coefficient, epsilon, d... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/onnx", "path": "onnx/reference/ops/aionnx_preview_training/op_adagrad.py", "license": "apache-2.0", "size": 1851} |
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