[npu]add randint (PaddlePaddle#1379)

Author: wangna11BD

backends/npu/kernels/randint_kernel.cc

@@ -0,0 +1,38 @@
+/* Copyright (c) 2022 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 "kernels/funcs/npu_funcs.h"
+#include "kernels/funcs/npu_op_runner.h"
+
+namespace custom_kernel {
+
+template <typename T, typename Context>
+void RandintKernel(const Context& dev_ctx,
+                   const int low,
+                   const int high,
+                   const phi::IntArray& shape,
+                   phi::DataType dtype UNUSED,
+                   phi::DenseTensor* out) {
+  out->Resize(common::make_ddim(shape.GetData()));
+  dev_ctx.template Alloc<T>(out);
+  int64_t low_ = low;
+  int64_t high_ = high;
+  int64_t seed = 0;
+  int64_t offset = 0;
+  EXEC_NPU_CMD(aclnnInplaceRandom, dev_ctx, *out, low_, high_, seed, offset);
+}
+}  // namespace custom_kernel
+
+PD_REGISTER_PLUGIN_KERNEL(
+    randint, npu, ALL_LAYOUT, custom_kernel::RandintKernel, int, int64_t) {}

backends/npu/tests/unittests/test_randint_op_npu.py

@@ -0,0 +1,132 @@
+#   Copyright (c) 2022 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
+
+from tests.op_test import OpTest
+import paddle
+import paddle.base.core as core
+from paddle.static import program_guard, Program
+
+paddle.enable_static()
+
+
+def check_randint_out(data, low, high):
+    assert isinstance(data, np.ndarray), "The input data should be np.ndarray."
+    mask = (data < low) | (data >= high)
+    return not mask.any()
+
+
+def convert_dtype(dtype_str):
+    dtype_str_list = ["int32", "int64", "float32", "float64"]
+    dtype_num_list = [
+        core.VarDesc.VarType.INT32,
+        core.VarDesc.VarType.INT64,
+        core.VarDesc.VarType.FP32,
+        core.VarDesc.VarType.FP64,
+    ]
+    assert dtype_str in dtype_str_list, dtype_str + " should in " + str(dtype_str_list)
+    return dtype_num_list[dtype_str_list.index(dtype_str)]
+
+
+class TestRandintOp(OpTest):
+    """Test randint op."""
+
+    def setUp(self):
+        self.set_npu()
+        self.op_type = "randint"
+        self.low = 0
+        self.high = 10
+        self.shape = [3, 3]
+        self.dtype = "int64"
+
+        self.inputs = {}
+        self.outputs = {"Out": np.zeros(self.shape).astype(self.dtype)}
+        self.init_attrs()
+        self.attrs = {
+            "low": self.low,
+            "high": self.high,
+            "shape": self.shape,
+            "dtype": convert_dtype(self.dtype),
+        }
+
+    def set_npu(self):
+        self.__class__.use_custom_device = True
+
+    def _get_places(self):
+        return [paddle.CustomPlace("npu", 0)]
+
+    def init_attrs(self):
+        pass
+
+    def test_check_output(self):
+        self.check_output_customized(self.verify_output)
+
+    def verify_output(self, outs):
+        out_np = np.array(outs[0])
+        self.assertTrue(check_randint_out(out_np, self.low, self.high))
+
+
+class TestRandintOpLow(TestRandintOp):
+    def init_attrs(self):
+        self.low = -10
+
+
+class TestRandintOpHigh(TestRandintOp):
+    def init_attrs(self):
+        self.high = 5
+
+
+class TestRandintOpInt32(TestRandintOp):
+    def init_attrs(self):
+        self.dtype = "int32"
+
+
+class TestRandintAPI(unittest.TestCase):
+    def test_out(self):
+        low = -5
+        high = 5
+        shape = [2, 3]
+        place = paddle.CustomPlace("npu", 0)
+        with program_guard(Program(), Program()):
+            x1 = paddle.randint(low, high, shape=shape)
+            x2 = paddle.randint(low, high, shape=shape, dtype="int32")
+
+            exe = paddle.static.Executor(place)
+            res = exe.run(fetch_list=[x1, x2])
+
+            self.assertEqual(res[0].dtype, np.int64)
+            self.assertEqual(res[1].dtype, np.int32)
+            self.assertTrue(check_randint_out(res[0], low, high))
+            self.assertTrue(check_randint_out(res[1], low, high))
+
+
+class TestRandintImperative(unittest.TestCase):
+    def test_out(self):
+        paddle.disable_static(paddle.CustomPlace("npu", 0))
+        low = -10
+        high = 10
+        shape = [5, 3]
+        for dtype in ["int32", np.int64]:
+            data_p = paddle.randint(low, high, shape=shape, dtype=dtype)
+            data_np = data_p.numpy()
+            self.assertTrue(check_randint_out(data_np, low, high))
+        paddle.enable_static()
+
+
+if __name__ == "__main__":
+    unittest.main()