[GitHub] [incubator-mxnet] hzfan commented on a change in pull request #17756: [numpy] FFI random.exponential, logistic, gumbel, rayleigh, weibull, power, pareto

[GitBox <gi...@apache.org>]

hzfan commented on a change in pull request #17756: [numpy] FFI random.exponential, logistic, gumbel, rayleigh, weibull, power, pareto
URL: https://github.com/apache/incubator-mxnet/pull/17756#discussion_r389468115
 
 

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 File path: src/api/operator/numpy/random/np_exponential_op.cc
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 @@ -0,0 +1,74 @@
+/*
+ * 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.
+ */
+
+/*!
+ * \file np_exponential_op.cc
+ * \brief Implementation of the API of functions in src/operator/numpy/random/np_exponential_op.h
+ */
+#include <mxnet/api_registry.h>
+#include <mxnet/runtime/packed_func.h>
+#include "../../utils.h"
+#include "../../../../operator/numpy/random/np_exponential_op.h"
+
+namespace mxnet {
+
+MXNET_REGISTER_API("_npi.exponential")
+.set_body([](runtime::MXNetArgs args, runtime::MXNetRetValue* ret) {
+  using namespace runtime;
+  const nnvm::Op* op = Op::Get("_npi_exponential");
+  op::NumpyExponentialParam param;
+  nnvm::NodeAttrs attrs;
+  attrs.op = op;
+  if (args[1].type_code() == kDLInt) {
+      param.size = Tuple<int>(1, args[1].operator int64_t());
+  } else if (args[1].type_code() == kNull) {
+      param.size = dmlc::nullopt;
+  } else {
+      param.size = Tuple<int>(args[1].operator ObjectRef());
+  }
+  if (args[2].type_code() != kNull) {
+    attrs.dict["ctx"] = args[2].operator std::string();
+  }
+  NDArray* out = args[3].operator mxnet::NDArray*();
+  NDArray** outputs = out == nullptr ? nullptr : &out;
+  int num_outputs = out != nullptr;
+  if (args[0].type_code() == kDLFloat || args[0].type_code() == kDLInt) {
+    param.scale = args[0].operator double();
+    attrs.parsed = std::move(param);
+    SetAttrDict<op::NumpyExponentialParam>(&attrs);
+    auto ndoutputs = Invoke(op, &attrs, 0, nullptr, &num_outputs, outputs);
+    if (out) {
+      *ret = PythonArg(3);
+    } else {
+      *ret = ndoutputs[0];
+    }
+  } else {
 
 Review comment:
   Set `param.scale = dmlc::kNullOpt`

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