[XPU] bind op: atan & deformable_conv_v1 (#50373)

paddle/phi/backends/xpu/xpu2_op_list.cc

@@ -48,6 +48,9 @@ XPUOpMap& get_kl2_ops() {
                      phi::DataType::INT64,
                      phi::DataType::BOOL})},
       {"assign_value", XPUKernelSet({phi::DataType::FLOAT32})},
+      {"atan", XPUKernelSet({phi::DataType::FLOAT32, phi::DataType::FLOAT16})},
+      {"atan_grad",
+       XPUKernelSet({phi::DataType::FLOAT32, phi::DataType::FLOAT16})},
       {"batch_norm_grad", XPUKernelSet({phi::DataType::FLOAT32})},
       {"batch_norm", XPUKernelSet({phi::DataType::FLOAT32})},
       {"bmm", XPUKernelSet({phi::DataType::FLOAT32})},
@@ -132,6 +135,8 @@ XPUOpMap& get_kl2_ops() {
                      phi::DataType::INT64})},
       {"deformable_conv_grad", XPUKernelSet({phi::DataType::FLOAT32})},
       {"deformable_conv", XPUKernelSet({phi::DataType::FLOAT32})},
+      {"deformable_conv_v1_grad", XPUKernelSet({phi::DataType::FLOAT32})},
+      {"deformable_conv_v1", XPUKernelSet({phi::DataType::FLOAT32})},
       {"depthwise_conv2d_grad", XPUKernelSet({phi::DataType::FLOAT32})},
       {"depthwise_conv2d", XPUKernelSet({phi::DataType::FLOAT32})},
       {"diag_v2",

paddle/phi/kernels/xpu/atan_grad_kernel.cc

+// Copyright (c) 2023 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/phi/kernels/activation_grad_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+template <typename T, typename Context>
+void AtanGradKernel(const Context& dev_ctx,
+                    const DenseTensor& x,
+                    const DenseTensor& dout,
+                    DenseTensor* dx) {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+
+  const T* x_ptr = x.data<T>();
+  const T* dout_ptr = dout.data<T>();
+  T* dx_ptr = dev_ctx.template Alloc<T>(dx);
+
+  int r = xpu::arctan_grad(dev_ctx.x_context(),
+                           reinterpret_cast<const XPUType*>(x_ptr),
+                           reinterpret_cast<const XPUType*>(dout_ptr),
+                           reinterpret_cast<XPUType*>(dx_ptr),
+                           x.numel());
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "arctan_grad");
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(atan_grad,
+                   XPU,
+                   ALL_LAYOUT,
+                   phi::AtanGradKernel,
+                   float,
+                   phi::dtype::float16) {}

paddle/phi/kernels/xpu/atan_kernel.cc

+// Copyright (c) 2023 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/phi/kernels/activation_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+template <typename T, typename Context>
+void AtanKernel(const Context& dev_ctx,
+                const DenseTensor& x,
+                DenseTensor* out) {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+
+  const T* x_ptr = x.data<T>();
+  T* out_ptr = dev_ctx.template Alloc<T>(out);
+
+  int r = xpu::arctan(dev_ctx.x_context(),
+                      reinterpret_cast<const XPUType*>(x_ptr),
+                      reinterpret_cast<XPUType*>(out_ptr),
+                      x.numel());
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "arctan");
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    atan, XPU, ALL_LAYOUT, phi::AtanKernel, float, phi::dtype::float16) {}

python/paddle/fluid/tests/unittests/xpu/test_atan_op_xpu.py

+#   Copyright (c) 2023 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.
+
+import sys
+import unittest
+
+import numpy as np
+
+import paddle
+
+paddle.enable_static()
+
+sys.path.append("..")
+
+from op_test_xpu import XPUOpTest
+from xpu.get_test_cover_info import (
+    XPUOpTestWrapper,
+    create_test_class,
+    get_xpu_op_support_types,
+)
+
+
+class XPUTestAtanOp(XPUOpTestWrapper):
+    def __init__(self):
+        self.op_name = "atan"
+        self.use_dynamic_create_class = False
+
+    class TestAtanOp(XPUOpTest):
+        def setUp(self):
+            self.set_xpu()
+            self.op_type = "atan"
+            self.eager_mode = True
+
+            # override
+            self.init_input_shape()
+
+            x = np.random.random(self.x_shape).astype(self.in_type)
+            y = np.arctan(x)
+
+            self.inputs = {'X': x}
+            self.outputs = {'Out': y}
+
+        def init_input_shape(self):
+            self.x_shape = [15, 6]
+
+        def set_xpu(self):
+            self.__class__.no_need_check_grad = False
+            self.place = paddle.XPUPlace(0)
+
+        def test_check_output(self):
+            self.check_output_with_place(self.place)
+
+        def test_check_grad(self):
+            self.check_grad_with_place(
+                self.place, ['X'], 'Out', check_eager=self.eager_mode
+            )
+
+    class Test1x1(TestAtanOp):
+        def init_input_shape(self):
+            self.x_shape = [1, 1]
+
+    class Test1(TestAtanOp):
+        def init_input_shape(self):
+            self.x_shape = [1]
+
+
+support_types = get_xpu_op_support_types("atan")
+for stype in support_types:
+    create_test_class(globals(), XPUTestAtanOp, stype)
+
+if __name__ == "__main__":
+    unittest.main()