repeat_interleave support bf16 dtype (#61854) (#61899)

* repeat_interleave support bf16 dtype * support bf16 on cpu
PaddlePaddle · Feb 21, 2024 · 96c2aaf · 96c2aaf
1 parent b6a38d0
commit 96c2aaf
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Showing 5 changed files with 35 additions and 8 deletions.
diff --git a/paddle/phi/kernels/cpu/repeat_interleave_grad_kernel.cc b/paddle/phi/kernels/cpu/repeat_interleave_grad_kernel.cc
@@ -104,7 +104,8 @@ PD_REGISTER_KERNEL(repeat_interleave_with_tensor_index_grad,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
 
 PD_REGISTER_KERNEL(repeat_interleave_grad,
                    CPU,
@@ -113,4 +114,5 @@ PD_REGISTER_KERNEL(repeat_interleave_grad,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
diff --git a/paddle/phi/kernels/cpu/repeat_interleave_kernel.cc b/paddle/phi/kernels/cpu/repeat_interleave_kernel.cc
@@ -25,7 +25,8 @@ PD_REGISTER_KERNEL(repeat_interleave,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
 
 PD_REGISTER_KERNEL(repeat_interleave_with_tensor_index,
                    CPU,
@@ -34,4 +35,5 @@ PD_REGISTER_KERNEL(repeat_interleave_with_tensor_index,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
diff --git a/paddle/phi/kernels/gpu/repeat_interleave_grad_kernel.cu b/paddle/phi/kernels/gpu/repeat_interleave_grad_kernel.cu
@@ -25,12 +25,14 @@ PD_REGISTER_KERNEL(repeat_interleave_with_tensor_index_grad,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
 PD_REGISTER_KERNEL(repeat_interleave_grad,
                    GPU,
                    ALL_LAYOUT,
                    phi::RepeatInterleaveGradKernel,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
diff --git a/paddle/phi/kernels/gpu/repeat_interleave_kernel.cu b/paddle/phi/kernels/gpu/repeat_interleave_kernel.cu
@@ -25,7 +25,8 @@ PD_REGISTER_KERNEL(repeat_interleave,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
 
 PD_REGISTER_KERNEL(repeat_interleave_with_tensor_index,
                    GPU,
@@ -34,4 +35,5 @@ PD_REGISTER_KERNEL(repeat_interleave_with_tensor_index,
                    float,
                    double,
                    int,
-                   int64_t) {}
+                   int64_t,
+                   phi::dtype::bfloat16) {}
diff --git a/test/legacy_test/test_repeat_interleave_op.py b/test/legacy_test/test_repeat_interleave_op.py
@@ -252,6 +252,25 @@ def test_dygraph_api(self):
         expect_out = np.repeat(input_x, index, axis=None)
         np.testing.assert_allclose(expect_out, np_z, rtol=1e-05)
 
+        # case input dtype is bfloat16
+        input_x = np.array([[1, 2, 1], [1, 2, 3]]).astype('uint16')
+
+        with base.dygraph.guard():
+            x = paddle.to_tensor(input_x)
+            index = paddle.to_tensor(index_x)
+            z = paddle.repeat_interleave(x, index, None)
+            np_z = z.numpy()
+        expect_out = np.repeat(input_x, index_x, axis=None)
+        np.testing.assert_allclose(expect_out, np_z, rtol=1e-05)
+
+        with base.dygraph.guard():
+            x = paddle.to_tensor(input_x)
+            index = 2
+            z = paddle.repeat_interleave(x, index, None)
+            np_z = z.numpy()
+        expect_out = np.repeat(input_x, index, axis=None)
+        np.testing.assert_allclose(expect_out, np_z, rtol=1e-05)
+
         # case 1:
         with base.dygraph.guard():
             x = base.dygraph.to_variable(self.data_x)