[NPU]shard index op for npu (#35281)

paddle/fluid/operators/shard_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/shard_index_op.h"
+#include "paddle/fluid/operators/npu_op_runner.h"
+
+namespace paddle {
+namespace operators {
+
+using LoDTensor = framework::LoDTensor;
+using Tensor = framework::Tensor;
+template <typename T>
+class ShardIndexNPUKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& context) const override {
+    VLOG(4) << "start kernel";
+    auto* in = context.Input<LoDTensor>("X");
+    auto* out = context.Output<LoDTensor>("Out");
+    int index_num = context.Attr<int>("index_num");
+    int nshards = context.Attr<int>("nshards");
+    int shard_id = context.Attr<int>("shard_id");
+    int ignore_value = context.Attr<int>("ignore_value");
+
+    PADDLE_ENFORCE_GT(
+        index_num, 0,
+        platform::errors::InvalidArgument(
+            "The value 'index_num' for Op(shard_index) must be greater than 0, "
+            "but the value given is %d.",
+            index_num));
+    PADDLE_ENFORCE_GT(nshards, 0,
+                      platform::errors::InvalidArgument(
+                          "The value 'nshard' for Op(shard_index) must be "
+                          "greater than 0, but the value given is %d.",
+                          nshards));
+    PADDLE_ENFORCE_GE(
+        shard_id, 0,
+        platform::errors::InvalidArgument(
+            "The value 'shard_id' for Op(shard_index) must be greater or "
+            "equal to 0, but the value given is %d.",
+            shard_id));
+    PADDLE_ENFORCE_LT(
+        shard_id, nshards,
+        platform::errors::InvalidArgument(
+            "The value 'shard_id' for Op(shard_index) must be less than "
+            "nshards (%d), but the value given is %d.",
+            nshards, shard_id));
+
+    int shard_size = (index_num + nshards - 1) / nshards;
+
+    auto place = context.GetPlace();
+    out->Resize(in->dims());
+    out->set_lod(in->lod());
+    out->mutable_data<T>(place);
+
+    Tensor tmp(in->type());
+    tmp.mutable_data<T>(framework::DDim({1}), place);
+    FillNpuTensorWithConstant(&tmp, shard_size);
+
+    Tensor condition(framework::proto::VarType::BOOL);
+    condition.mutable_data<bool>(in->dims(), place);
+
+    Tensor tmp2(in->type());
+    tmp2.mutable_data<T>(in->dims(), place);
+
+    Tensor tmp3(in->type());
+    tmp3.mutable_data<T>(in->dims(), place);
+
+    auto stream =
+        context.template device_context<paddle::platform::NPUDeviceContext>()
+            .stream();
+
+    NpuOpRunner runner;
+    runner.AddInputs({*in, tmp});
+    runner.AddOutputs({tmp2});
+    runner.SetType("Mod");
+    runner.Run(stream);
+
+    NpuOpRunner runner1;
+    runner1.AddInputs({*in, tmp});
+    runner1.AddOutputs({tmp3});
+    runner1.SetType("FloorDiv");
+    runner1.Run(stream);
+
+    FillNpuTensorWithConstant(&tmp, shard_id);
+    NpuOpRunner runner2;
+    runner2.AddInputs({tmp3, tmp});
+    runner2.AddOutputs({condition});
+    runner2.SetType("Equal");
+    runner2.Run(stream);
+
+    Tensor tmp4(in->type());
+    tmp4.mutable_data<T>(in->dims(), place);
+    FillNpuTensorWithConstant(&tmp4, ignore_value);
+    tmp4.Resize(in->dims());
+
+    NpuOpRunner runner3;
+    runner3.AddInputs({condition, tmp2, tmp4});
+    runner3.AddOutputs({*out});
+    runner3.SetType("Select");
+    runner3.Run(stream);
+  }
+};
+}  // namespace operators
+}  // namespace paddle
+namespace ops = paddle::operators;
+REGISTER_OP_NPU_KERNEL(shard_index, ops::ShardIndexNPUKernel<int>,
+                       ops::ShardIndexNPUKernel<int64_t>);

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

+#   Copyright (c) 2019 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 unittest
+import numpy as np
+import math
+import sys
+sys.path.append("..")
+from op_test import OpTest
+import paddle.fluid as fluid
+import paddle.fluid.core as core
+import paddle.fluid.framework as framework
+from paddle.fluid.framework import Program, program_guard
+import paddle
+paddle.enable_static()
+SEED = 2021
+
+
+def common_setup(self, index_num, nshards, shard_id, ignore_value):
+    self.__class__.use_npu = True
+    self.__class__.op_type = "shard_index"
+
+    self.op_type = 'shard_index'
+    x_lod = [[i for i in range(10)]]
+    N = sum(x_lod[0])
+    x = [np.random.randint(0, index_num - 1) for i in range(N)]
+    x = np.array(x).astype('int32').reshape([N, 1])
+
+    shard_size = (index_num + nshards - 1) // nshards
+    out = np.zeros(shape=x.shape).astype('int32')
+    for i in range(N):
+        if x[i] // shard_size == shard_id:
+            out[i] = x[i] % shard_size
+        else:
+            out[i] = ignore_value
+
+    self.inputs = {'X': (x, x_lod)}
+    self.attrs = {
+        'index_num': index_num,
+        'nshards': nshards,
+        'shard_id': shard_id,
+        'ignore_value': ignore_value
+    }
+    self.outputs = {'Out': (out, x_lod)}
+
+
+class TestShardIndexShardId0Op(OpTest):
+    def setUp(self):
+        common_setup(self, 20, 2, 0, -1)
+
+    def test_check_output(self):
+        return self.check_output_with_place(place=paddle.NPUPlace(0))
+
+
+class TestShardIndexShardId1Op(TestShardIndexShardId0Op):
+    def setUp(self):
+        common_setup(self, 20, 2, 1, -1)
+
+
+class TestShardIndexIgnoreValueOp(TestShardIndexShardId0Op):
+    def setUp(self):
+        common_setup(self, 20, 2, 0, -2)
+
+
+class TestShardIndexNotEvenlyDividedOp(TestShardIndexShardId0Op):
+    def setUp(self):
+        common_setup(self, 15, 2, 1, -1)
+
+
+if __name__ == '__main__':
+    unittest.main()