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[Numpy] FFI: sort, argsort, vstack etc (apache#17857)
* * sort FFI * * argsort FFI * * vstack, row_stack FFI * * greater FFI * * inner FFI * multinomial FFI * rand FFI * randn FFI * * Fix input out of index and rscalar of greater * * Fix ndarray situation * * Fix sanity * fix lint * fix bugs * * Remove duplicate operator (greater) * * Fix Tuple downcast Error (Only Integer) * Fix segmentation fault(pointer) Co-authored-by: Sheng Zha <zhasheng@amazon.com>
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you 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. | ||
*/ | ||
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/*! | ||
* \file np_ordering_op.cc | ||
* \brief Implementation of the API of functions in src/operator/tensor/ordering_op.cc | ||
*/ | ||
#include <mxnet/api_registry.h> | ||
#include <mxnet/runtime/packed_func.h> | ||
#include "../utils.h" | ||
#include "../../../operator/tensor/ordering_op-inl.h" | ||
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namespace mxnet { | ||
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MXNET_REGISTER_API("_npi.sort") | ||
.set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) { | ||
using namespace runtime; | ||
const nnvm::Op* op = Op::Get("_npi_sort"); | ||
nnvm::NodeAttrs attrs; | ||
op::SortParam param; | ||
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if (args[1].type_code() == kNull) { | ||
param.axis = dmlc::nullopt; | ||
} else { | ||
param.axis = args[1].operator int(); | ||
} | ||
param.is_ascend = true; | ||
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attrs.parsed = std::move(param); | ||
attrs.op = op; | ||
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int num_inputs = 1; | ||
NDArray* inputs[] = {args[0].operator mxnet::NDArray*()}; | ||
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int num_outputs = 0; | ||
SetAttrDict<op::SortParam>(&attrs); | ||
auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, nullptr); | ||
*ret = reinterpret_cast<mxnet::NDArray*>(ndoutputs[0]); | ||
}); | ||
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MXNET_REGISTER_API("_npi.argsort") | ||
.set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) { | ||
using namespace runtime; | ||
const nnvm::Op* op = Op::Get("_npi_argsort"); | ||
nnvm::NodeAttrs attrs; | ||
op::ArgSortParam param; | ||
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if (args[1].type_code() == kNull) { | ||
param.axis = dmlc::nullopt; | ||
} else { | ||
param.axis = args[1].operator int(); | ||
} | ||
param.is_ascend = true; | ||
if (args[3].type_code() == kNull) { | ||
param.dtype = mshadow::kFloat32; | ||
} else { | ||
param.dtype = String2MXNetTypeWithBool(args[3].operator std::string()); | ||
} | ||
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attrs.parsed = std::move(param); | ||
attrs.op = op; | ||
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int num_inputs = 1; | ||
NDArray* inputs[] = {args[0].operator mxnet::NDArray*()}; | ||
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int num_outputs = 0; | ||
SetAttrDict<op::ArgSortParam>(&attrs); | ||
auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, nullptr); | ||
*ret = reinterpret_cast<mxnet::NDArray*>(ndoutputs[0]); | ||
}); | ||
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} // namespace mxnet |
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/* | ||
* Licensed to the Apache Software Foundation (ASF) under one | ||
* or more contributor license agreements. See the NOTICE file | ||
* distributed with this work for additional information | ||
* regarding copyright ownership. The ASF licenses this file | ||
* to you 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. | ||
*/ | ||
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/*! | ||
* \file np_multinomial_op.cc | ||
* \brief Implementation of the API of functions in src/operator/numpy/random/np_multinomial_op.cc | ||
*/ | ||
#include <mxnet/api_registry.h> | ||
#include <mxnet/runtime/packed_func.h> | ||
#include <vector> | ||
#include "../../utils.h" | ||
#include "../../../../operator/numpy/random/np_multinomial_op.h" | ||
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namespace mxnet { | ||
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MXNET_REGISTER_API("_npi.multinomial") | ||
.set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) { | ||
using namespace runtime; | ||
const nnvm::Op* op = Op::Get("_npi_multinomial"); | ||
nnvm::NodeAttrs attrs; | ||
op::NumpyMultinomialParam param; | ||
NDArray** inputs = new NDArray*[1](); | ||
int num_inputs = 0; | ||
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// parse int | ||
param.n = args[0].operator int(); | ||
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// parse pvals | ||
if (args[1].type_code() == kNull) { | ||
param.pvals = dmlc::nullopt; | ||
} else if (args[1].type_code() == kNDArrayHandle) { | ||
param.pvals = dmlc::nullopt; | ||
inputs[0] = args[1].operator mxnet::NDArray*(); | ||
num_inputs = 1; | ||
} else { | ||
param.pvals = Obj2Tuple<double, Float>(args[1].operator ObjectRef()); | ||
} | ||
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// parse size | ||
if (args[2].type_code() == kNull) { | ||
param.size = dmlc::nullopt; | ||
} else { | ||
if (args[2].type_code() == kDLInt) { | ||
param.size = mxnet::Tuple<int>(1, args[2].operator int64_t()); | ||
} else { | ||
param.size = mxnet::Tuple<int>(args[2].operator ObjectRef()); | ||
} | ||
} | ||
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attrs.parsed = std::move(param); | ||
attrs.op = op; | ||
SetAttrDict<op::NumpyMultinomialParam>(&attrs); | ||
inputs = num_inputs == 0 ? nullptr : inputs; | ||
int num_outputs = 0; | ||
auto ndoutputs = Invoke(op, &attrs, num_inputs, inputs, &num_outputs, nullptr); | ||
*ret = ndoutputs[0]; | ||
}); | ||
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} // namespace mxnet |
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