[NPU] add where_index op and tests (#34951)

paddle/fluid/operators/where_index_op_npu.cc

+/* Copyright (c) 2021 PaddlePaddle Authors. 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. */
+
+#include "paddle/fluid/operators/where_index_op.h"
+#include "paddle/fluid/operators/npu_op_runner.h"
+
+namespace paddle {
+namespace operators {
+
+using Tensor = framework::Tensor;
+
+template <typename T>
+class NPUWhereIndexKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& context) const override {
+    auto& dev_ctx =
+        context.template device_context<platform::NPUDeviceContext>();
+    auto* condition = context.Input<Tensor>("Condition");
+    auto* out = context.Output<Tensor>("Out");
+
+    auto dims = condition->dims();
+    const int rank = dims.size();
+
+    auto place = context.GetPlace();
+    const aclrtStream& stream = dev_ctx.stream();
+
+    // Run Cast and ReduceSum to get 0 dim of Out
+    Tensor booled_cond;
+    if (condition->type() != framework::proto::VarType::BOOL) {
+      auto bool_type = ConvertToNpuDtype(framework::proto::VarType::BOOL);
+      booled_cond.mutable_data<bool>(dims, place);
+      const auto& booled_runner =
+          NpuOpRunner("Cast", {*condition}, {booled_cond},
+                      {{"dst_type", static_cast<int>(bool_type)}});
+      booled_runner.Run(stream);
+    } else {
+      booled_cond.ShareDataWith(*condition);
+    }
+    Tensor casted_cond;
+    auto dst_dtype = ConvertToNpuDtype(framework::proto::VarType::INT64);
+    casted_cond.mutable_data<int64_t>(dims, place);
+    const auto& cast_runner =
+        NpuOpRunner("Cast", {booled_cond}, {casted_cond},
+                    {{"dst_type", static_cast<int>(dst_dtype)}});
+    cast_runner.Run(stream);
+
+    Tensor sumed_true_num;
+    sumed_true_num.mutable_data<int64_t>({1}, place);
+    Tensor cond_axes;
+    cond_axes.mutable_data<int>({dims.size()}, place);
+    std::vector<int> axes_vec;
+    for (int i = 0; i < dims.size(); ++i) {
+      axes_vec.push_back(i);
+    }
+    framework::TensorFromVector<int>(axes_vec, dev_ctx, &cond_axes);
+    const auto& sum_runner =
+        NpuOpRunner("ReduceSum", {casted_cond, cond_axes}, {sumed_true_num},
+                    {{"keep_dims", false}});
+    sum_runner.Run(stream);
+
+    Tensor local_true_num;
+    TensorCopySync(sumed_true_num, platform::CPUPlace(), &local_true_num);
+    auto true_num = *local_true_num.data<int64_t>();
+
+    out->Resize(framework::make_ddim({true_num, rank}));
+    out->mutable_data<int64_t>(place);
+
+    if (true_num == 0) {
+      return;
+    }
+
+    out->set_layout(DataLayout::kAnyLayout);
+    NpuOpRunner runner{"Where", {*condition}, {*out}};
+    runner.Run(stream);
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+REGISTER_OP_NPU_KERNEL(where_index, ops::NPUWhereIndexKernel<int64_t>,
+                       ops::NPUWhereIndexKernel<int>,
+                       ops::NPUWhereIndexKernel<bool>,
+                       ops::NPUWhereIndexKernel<float>,
+                       ops::NPUWhereIndexKernel<double>);

python/paddle/fluid/tests/unittests/npu/test_where_index_npu.py

+#  Copyright (c) 2021 PaddlePaddle Authors. 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.
+
+from __future__ import print_function
+
+import numpy as np
+import unittest
+import paddle
+import sys
+sys.path.append("..")
+from op_test import OpTest
+from paddle.fluid.op import Operator
+import paddle.fluid as fluid
+from paddle.fluid import Program, program_guard
+
+paddle.enable_static()
+
+
+class TestWhereIndexOp(OpTest):
+    def setUp(self):
+        self.set_npu()
+        self.op_type = "where_index"
+        self.place = paddle.NPUPlace(0)
+        self.init_config()
+
+    def test_check_output(self):
+        self.check_output_with_place(self.place)
+
+    def init_config(self):
+        self.inputs = {'Condition': np.array([True, False, True]), }
+
+        self.outputs = {'Out': np.array([[0], [2]], dtype='int64')}
+
+    def set_npu(self):
+        self.__class__.use_npu = True
+
+
+class TestNotBool(TestWhereIndexOp):
+    def init_config(self):
+        self.inputs = {'Condition': np.array([1, 0, 8]), }
+
+        self.outputs = {'Out': np.array([[0], [2]], dtype='int64')}
+
+
+class TestAllFalse(TestWhereIndexOp):
+    def init_config(self):
+        self.inputs = {'Condition': np.array([False, False, False]), }
+
+        self.outputs = {'Out': np.array([], dtype='int64')}
+
+
+class TestRank2(TestWhereIndexOp):
+    def init_config(self):
+        self.inputs = {'Condition': np.array([[True, False], [False, True]]), }
+
+        self.outputs = {'Out': np.array([[0, 0], [1, 1]], dtype='int64')}
+
+
+class TestRank3(TestWhereIndexOp):
+    def init_config(self):
+        self.inputs = {
+            'Condition': np.array([[[True, False], [False, True]],
+                                   [[False, True], [True, False]],
+                                   [[False, False], [False, True]]]),
+        }
+
+        self.outputs = {
+            'Out': np.array(
+                [[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 0], [2, 1, 1]],
+                dtype='int64')
+        }
+
+
+class TestWhereOpError(unittest.TestCase):
+    def test_api(self):
+        with program_guard(Program(), Program()):
+            cond = fluid.layers.data(name='cond', shape=[4], dtype='bool')
+            result = fluid.layers.where(cond)
+
+            exe = fluid.Executor(paddle.NPUPlace(0))
+            exe.run(fluid.default_startup_program())
+            cond_i = np.array([True, False, False, False]).astype("bool")
+            out = exe.run(fluid.default_main_program(), feed={'cond': cond_i})
+
+
+class TestWhereRaiseError(unittest.TestCase):
+    def test_errors(self):
+        def test_type():
+            fluid.layers.where([10])
+
+        self.assertRaises(TypeError, test_type)
+
+
+if __name__ == "__main__":
+    unittest.main()