add cpu_info.h (#48403)

paddle/fluid/platform/cpu_info.h

@@ -50,6 +50,8 @@ inline void cpuid(int reg[4], int x) {
 #endif
 #endif
 
+#include "paddle/phi/backends/cpu/cpu_info.h"
+
 namespace paddle {
 namespace platform {
 
@@ -82,18 +84,7 @@ size_t NPUPinnedMinChunkSize();
 //! Get the maximum chunk size for buddy allocator.
 size_t NPUPinnedMaxChunkSize();
 
-typedef enum {
-  isa_any,
-  sse42,
-  avx,
-  avx2,
-  avx512f,
-  avx512_core,
-  avx512_core_vnni,
-  avx512_mic,
-  avx512_mic_4ops,
-  avx512_bf16,
-} cpu_isa_t;  // Instruction set architecture
+using namespace phi::backends::cpu;  // NOLINT
 
 // May I use some instruction
 bool MayIUse(const cpu_isa_t cpu_isa);

paddle/phi/backends/cpu/cpu_info.h

+// 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.
+
+#pragma once
+
+#include <stddef.h>
+
+#ifdef _WIN32
+#if defined(__AVX2__)
+#include <immintrin.h>  // avx2
+#elif defined(__AVX__)
+#include <intrin.h>  // avx
+#endif               // AVX
+#else                // WIN32
+#ifdef __AVX__
+#include <immintrin.h>
+#endif
+#endif  // WIN32
+
+#if defined(_WIN32)
+#define ALIGN32_BEG __declspec(align(32))
+#define ALIGN32_END
+#else
+#define ALIGN32_BEG
+#define ALIGN32_END __attribute__((aligned(32)))
+#endif  // _WIN32
+
+namespace phi {
+namespace backends {
+namespace cpu {
+typedef enum {
+  isa_any,
+  sse42,
+  avx,
+  avx2,
+  avx512f,
+  avx512_core,
+  avx512_core_vnni,
+  avx512_mic,
+  avx512_mic_4ops,
+  avx512_bf16,
+} cpu_isa_t;  // Instruction set architecture
+}  // namespace cpu
+}  // namespace backends
+}  // namespace phi

paddle/phi/kernels/funcs/cpu_vec.h

@@ -17,7 +17,7 @@ limitations under the License. */
 #include <functional>
 #include <string>
 
-#include "paddle/fluid/platform/cpu_info.h"
+#include "paddle/phi/backends/cpu/cpu_info.h"
 #include "paddle/phi/core/enforce.h"
 
 #ifdef PADDLE_WITH_MKLML
@@ -81,8 +81,7 @@ inline void vec_scal<double>(const int n, const double a, double* x) {
 #endif
 
 // MKL scal only support inplace, choose this if src and dst are not equal
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_scal(const int n, const T a, const T* x, T* y) {
   for (int i = 0; i < n; ++i) {
     y[i] = a * x[i];
@@ -90,14 +89,14 @@ inline void vec_scal(const int n, const T a, const T* x, T* y) {
 }
 
 template <>
-inline void vec_scal<float, paddle::platform::avx>(const int n,
+inline void vec_scal<float, backends::cpu::avx>(const int n,
                                                 const float a,
                                                 const float* x,
                                                 float* y) {
 #ifdef __AVX__
   constexpr int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_scal<float, paddle::platform::isa_any>(n, a, x, y);
+    vec_scal<float, backends::cpu::isa_any>(n, a, x, y);
     return;
   }
   const int rest = n % block;
@@ -121,29 +120,28 @@ inline void vec_scal<float, paddle::platform::avx>(const int n,
     y[i] = a * x[i];
   }
 #else
-  vec_scal<float, paddle::platform::isa_any>(n, a, x, y);
+  vec_scal<float, backends::cpu::isa_any>(n, a, x, y);
 #endif
 }
 
 template <>
-inline void vec_scal<float, paddle::platform::avx2>(const int n,
+inline void vec_scal<float, backends::cpu::avx2>(const int n,
                                                  const float a,
                                                  const float* x,
                                                  float* y) {
-  vec_scal<float, paddle::platform::avx>(n, a, x, y);
+  vec_scal<float, backends::cpu::avx>(n, a, x, y);
 }
 
 template <>
-inline void vec_scal<float, paddle::platform::avx512f>(const int n,
+inline void vec_scal<float, backends::cpu::avx512f>(const int n,
                                                     const float a,
                                                     const float* x,
                                                     float* y) {
   // TODO(TJ): enable me
-  vec_scal<float, paddle::platform::avx2>(n, a, x, y);
+  vec_scal<float, backends::cpu::avx2>(n, a, x, y);
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_sum(const size_t n, const T* x, T* s) {
   s[0] = x[0];
   for (size_t i = 1; i < n; ++i) {
@@ -152,13 +150,13 @@ inline void vec_sum(const size_t n, const T* x, T* s) {
 }
 
 template <>
-inline void vec_sum<float, paddle::platform::avx>(const size_t n,
+inline void vec_sum<float, backends::cpu::avx>(const size_t n,
                                                const float* x,
                                                float* s) {
 #ifdef __AVX__
   constexpr unsigned int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_sum<float, paddle::platform::isa_any>(n, x, s);
+    vec_sum<float, backends::cpu::isa_any>(n, x, s);
     return;
   }
 
@@ -182,12 +180,11 @@ inline void vec_sum<float, paddle::platform::avx>(const size_t n,
     s[0] += x[i];
   }
 #else
-  vec_sum<float, paddle::platform::isa_any>(n, x, s);
+  vec_sum<float, backends::cpu::isa_any>(n, x, s);
 #endif
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_mul(const size_t n, const T* x, const T* y, T* z) {
   for (size_t i = 0; i < n; ++i) {
     z[i] = x[i] * y[i];
@@ -195,14 +192,14 @@ inline void vec_mul(const size_t n, const T* x, const T* y, T* z) {
 }
 
 template <>
-inline void vec_mul<float, paddle::platform::avx>(const size_t n,
+inline void vec_mul<float, backends::cpu::avx>(const size_t n,
                                                const float* x,
                                                const float* y,
                                                float* z) {
 #ifdef __AVX__
   constexpr unsigned int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_mul<float, paddle::platform::isa_any>(n, x, y, z);
+    vec_mul<float, backends::cpu::isa_any>(n, x, y, z);
     return;
   }
 
@@ -217,12 +214,11 @@ inline void vec_mul<float, paddle::platform::avx>(const size_t n,
     z[i] = x[i] * y[i];
   }
 #else
-  vec_mul<float, paddle::platform::isa_any>(n, x, y, z);
+  vec_mul<float, backends::cpu::isa_any>(n, x, y, z);
 #endif
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_mul_reduce(const size_t n, const T* x, const T* y, T* z) {
   z[0] = x[0] * y[0];
   for (size_t i = 1; i < n; ++i) {
@@ -231,14 +227,14 @@ inline void vec_mul_reduce(const size_t n, const T* x, const T* y, T* z) {
 }
 
 template <>
-inline void vec_mul_reduce<float, paddle::platform::avx>(const size_t n,
+inline void vec_mul_reduce<float, backends::cpu::avx>(const size_t n,
                                                       const float* x,
                                                       const float* y,
                                                       float* z) {
 #ifdef __AVX__
   constexpr unsigned int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_mul_reduce<float, paddle::platform::isa_any>(n, x, y, z);
+    vec_mul_reduce<float, backends::cpu::isa_any>(n, x, y, z);
     return;
   }
 
@@ -262,12 +258,11 @@ inline void vec_mul_reduce<float, paddle::platform::avx>(const size_t n,
     z[0] += x[i] * y[i];
   }
 #else
-  vec_mul_reduce<float, paddle::platform::isa_any>(n, x, y, z);
+  vec_mul_reduce<float, backends::cpu::isa_any>(n, x, y, z);
 #endif
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_bias_sub(const int n, const T a, const T* x, T* y) {
   for (int i = 0; i < n; ++i) {
     y[i] = a - x[i];
@@ -275,14 +270,14 @@ inline void vec_bias_sub(const int n, const T a, const T* x, T* y) {
 }
 
 template <>
-inline void vec_bias_sub<float, paddle::platform::avx>(const int n,
+inline void vec_bias_sub<float, backends::cpu::avx>(const int n,
                                                     const float a,
                                                     const float* x,
                                                     float* y) {
 #ifdef __AVX__
   constexpr int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_bias_sub<float, paddle::platform::isa_any>(n, a, x, y);
+    vec_bias_sub<float, backends::cpu::isa_any>(n, a, x, y);
     return;
   }
   const int rest = n % block;
@@ -306,30 +301,29 @@ inline void vec_bias_sub<float, paddle::platform::avx>(const int n,
     y[i] = a - x[i];
   }
 #else
-  vec_bias_sub<float, paddle::platform::isa_any>(n, a, x, y);
+  vec_bias_sub<float, backends::cpu::isa_any>(n, a, x, y);
 #endif
 }
 
 template <>
-inline void vec_bias_sub<float, paddle::platform::avx2>(const int n,
+inline void vec_bias_sub<float, backends::cpu::avx2>(const int n,
                                                      const float a,
                                                      const float* x,
                                                      float* y) {
-  vec_bias_sub<float, paddle::platform::avx>(n, a, x, y);
+  vec_bias_sub<float, backends::cpu::avx>(n, a, x, y);
 }
 
 template <>
-inline void vec_bias_sub<float, paddle::platform::avx512f>(const int n,
+inline void vec_bias_sub<float, backends::cpu::avx512f>(const int n,
                                                         const float a,
                                                         const float* x,
                                                         float* y) {
   // TODO(TJ): enable me
-  vec_bias_sub<float, paddle::platform::avx2>(n, a, x, y);
+  vec_bias_sub<float, backends::cpu::avx2>(n, a, x, y);
 }
 
 // out = x*y + (1-x)*z
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_cross(const int n, const T* x, const T* y, const T* z, T* out) {
   for (int i = 0; i < n; ++i) {
     out[i] = x[i] * y[i] + (static_cast<T>(1) - x[i]) * z[i];
@@ -337,12 +331,12 @@ inline void vec_cross(const int n, const T* x, const T* y, const T* z, T* out) {
 }
 
 template <>
-inline void vec_cross<float, paddle::platform::avx>(
+inline void vec_cross<float, backends::cpu::avx>(
     const int n, const float* x, const float* y, const float* z, float* out) {
 #ifdef __AVX__
   constexpr int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_cross<float, paddle::platform::isa_any>(n, x, y, z, out);
+    vec_cross<float, backends::cpu::isa_any>(n, x, y, z, out);
     return;
   }
   const int rest = n % block;
@@ -368,25 +362,24 @@ inline void vec_cross<float, paddle::platform::avx>(
     out[i] = x[i] * y[i] + (1.f - x[i]) * z[i];
   }
 #else
-  vec_cross<float, paddle::platform::isa_any>(n, x, y, z, out);
+  vec_cross<float, backends::cpu::isa_any>(n, x, y, z, out);
 #endif
 }
 
 template <>
-inline void vec_cross<float, paddle::platform::avx2>(
+inline void vec_cross<float, backends::cpu::avx2>(
     const int n, const float* x, const float* y, const float* z, float* out) {
-  vec_cross<float, paddle::platform::avx>(n, x, y, z, out);
+  vec_cross<float, backends::cpu::avx>(n, x, y, z, out);
 }
 
 template <>
-inline void vec_cross<float, paddle::platform::avx512f>(
+inline void vec_cross<float, backends::cpu::avx512f>(
     const int n, const float* x, const float* y, const float* z, float* out) {
   // TODO(TJ): enable me
-  vec_cross<float, paddle::platform::avx>(n, x, y, z, out);
+  vec_cross<float, backends::cpu::avx>(n, x, y, z, out);
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_clip(const size_t n, const T a, const T* x, T* y) {
   for (size_t i = 0; i < n; ++i) {
     y[i] = x[i] < a ? a : x[i];
@@ -394,14 +387,14 @@ inline void vec_clip(const size_t n, const T a, const T* x, T* y) {
 }
 
 template <>
-inline void vec_clip<float, paddle::platform::avx>(const size_t n,
+inline void vec_clip<float, backends::cpu::avx>(const size_t n,
                                                 const float a,
                                                 const float* x,
                                                 float* y) {
 #ifdef __AVX__
   constexpr unsigned int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_clip<float, paddle::platform::isa_any>(n, a, x, y);
+    vec_clip<float, backends::cpu::isa_any>(n, a, x, y);
     return;
   }
 
@@ -417,12 +410,11 @@ inline void vec_clip<float, paddle::platform::avx>(const size_t n,
     y[i] = x[i] < a ? a : x[i];
   }
 #else
-  vec_clip<float, paddle::platform::isa_any>(n, a, x, y);
+  vec_clip<float, backends::cpu::isa_any>(n, a, x, y);
 #endif
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_add_bias(const int n, const T a, const T* x, T* y) {
   for (int i = 0; i < n; ++i) {
     y[i] = x[i] + a;
@@ -430,14 +422,14 @@ inline void vec_add_bias(const int n, const T a, const T* x, T* y) {
 }
 
 template <>
-inline void vec_add_bias<float, paddle::platform::avx>(const int n,
+inline void vec_add_bias<float, backends::cpu::avx>(const int n,
                                                     const float a,
                                                     const float* x,
                                                     float* y) {
 #ifdef __AVX__
   constexpr int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_add_bias<float, paddle::platform::isa_any>(n, a, x, y);
+    vec_add_bias<float, backends::cpu::isa_any>(n, a, x, y);
     return;
   }
   const int rest = n % block;
@@ -461,36 +453,34 @@ inline void vec_add_bias<float, paddle::platform::avx>(const int n,
     y[i] = x[i] + a;
   }
 #else
-  vec_add_bias<float, paddle::platform::isa_any>(n, a, x, y);
+  vec_add_bias<float, backends::cpu::isa_any>(n, a, x, y);
 #endif
 }
 
 template <>
-inline void vec_add_bias<float, paddle::platform::avx2>(const int n,
+inline void vec_add_bias<float, backends::cpu::avx2>(const int n,
                                                      const float a,
                                                      const float* x,
                                                      float* y) {
-  vec_add_bias<float, paddle::platform::avx>(n, a, x, y);
+  vec_add_bias<float, backends::cpu::avx>(n, a, x, y);
 }
 
 template <>
-inline void vec_add_bias<float, paddle::platform::avx512f>(const int n,
+inline void vec_add_bias<float, backends::cpu::avx512f>(const int n,
                                                         const float a,
                                                         const float* x,
                                                         float* y) {
   // TODO(TJ): enable me
-  vec_add_bias<float, paddle::platform::avx2>(n, a, x, y);
+  vec_add_bias<float, backends::cpu::avx2>(n, a, x, y);
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_identity(const int n, const T* x, T* y) {
   // do nothing
   return;
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_sigmoid(const int n, const T* x, T* y) {
   const T min = SIGMOID_THRESHOLD_MIN;
   const T max = SIGMOID_THRESHOLD_MAX;
@@ -505,13 +495,13 @@ inline void vec_sigmoid(const int n, const T* x, T* y) {
 }
 
 template <>
-inline void vec_sigmoid<float, paddle::platform::avx>(const int n,
+inline void vec_sigmoid<float, backends::cpu::avx>(const int n,
                                                    const float* x,
                                                    float* y) {
 #ifdef __AVX__
   constexpr int block = YMM_FLOAT_BLOCK;
   if (n < block) {
-    vec_sigmoid<float, paddle::platform::isa_any>(n, x, y);
+    vec_sigmoid<float, backends::cpu::isa_any>(n, x, y);
     return;
   }
   const int rest = n % block;
@@ -560,27 +550,26 @@ inline void vec_sigmoid<float, paddle::platform::avx>(const int n,
     y[i] = 1.f / (1.f + y[i]);
   }
 #else
-  vec_sigmoid<float, paddle::platform::isa_any>(n, x, y);
+  vec_sigmoid<float, backends::cpu::isa_any>(n, x, y);
 #endif
 }
 
 template <>
-inline void vec_sigmoid<float, paddle::platform::avx2>(const int n,
+inline void vec_sigmoid<float, backends::cpu::avx2>(const int n,
                                                     const float* x,
                                                     float* y) {
-  vec_sigmoid<float, paddle::platform::avx>(n, x, y);
+  vec_sigmoid<float, backends::cpu::avx>(n, x, y);
 }
 
 template <>
-inline void vec_sigmoid<float, paddle::platform::avx512f>(const int n,
+inline void vec_sigmoid<float, backends::cpu::avx512f>(const int n,
                                                        const float* x,
                                                        float* y) {
   // TODO(TJ): enable me
-  vec_sigmoid<float, paddle::platform::avx2>(n, x, y);
+  vec_sigmoid<float, backends::cpu::avx2>(n, x, y);
 }
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_tanh(const int n, const T* x, T* y) {
   vec_scal<T, isa>(n, static_cast<T>(2), x, y);
   vec_sigmoid<T, isa>(n, y, y);
@@ -589,8 +578,7 @@ inline void vec_tanh(const int n, const T* x, T* y) {
 }
 
 // TODO(TJ): make relu clip
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 inline void vec_relu(const int n, const T* x, T* y) {
   for (int i = 0; i < n; ++i) {
     y[i] = x[i] > 0 ? x[i] : 0;
@@ -598,13 +586,13 @@ inline void vec_relu(const int n, const T* x, T* y) {
 }
 
 template <>
-inline void vec_relu<float, paddle::platform::avx>(const int n,
+inline void vec_relu<float, backends::cpu::avx>(const int n,
                                                 const float* x,
                                                 float* y) {
 #ifdef __AVX__
   constexpr int block = YMM_FLOAT_BLOCK;
   if (n < block * 4) {
-    vec_relu<float, paddle::platform::isa_any>(n, x, y);
+    vec_relu<float, backends::cpu::isa_any>(n, x, y);
     return;
   }
 
@@ -628,29 +616,28 @@ inline void vec_relu<float, paddle::platform::avx>(const int n,
 #undef MOVE_ONE_STEP
 
 #else
-  vec_relu<float, paddle::platform::isa_any>(n, x, y);
+  vec_relu<float, backends::cpu::isa_any>(n, x, y);
 #endif
 }
 
 template <>
-inline void vec_relu<float, paddle::platform::avx2>(const int n,
+inline void vec_relu<float, backends::cpu::avx2>(const int n,
                                                  const float* x,
                                                  float* y) {
-  vec_relu<float, paddle::platform::avx>(n, x, y);
+  vec_relu<float, backends::cpu::avx>(n, x, y);
 }
 
 template <>
-inline void vec_relu<float, paddle::platform::avx512f>(const int n,
+inline void vec_relu<float, backends::cpu::avx512f>(const int n,
                                                     const float* x,
                                                     float* y) {
   // TODO(TJ): enable me
-  vec_relu<float, paddle::platform::avx2>(n, x, y);
+  vec_relu<float, backends::cpu::avx2>(n, x, y);
 }
 
 // TODO(TJ): optimize double of sigmoid, tanh and relu if necessary
 
-template <typename T,
-          paddle::platform::cpu_isa_t isa = paddle::platform::isa_any>
+template <typename T, backends::cpu::cpu_isa_t isa = backends::cpu::isa_any>
 class VecActivations {
  public:
   std::function<void(const int, const T*, T*)> operator()(

paddle/phi/kernels/funcs/detail/activation_functions.h

@@ -18,7 +18,7 @@ limitations under the License. */
 #include <stdexcept>
 #include <string>
 
-#include "paddle/fluid/platform/cpu_info.h"
+#include "paddle/phi/backends/cpu/cpu_info.h"
 #include "paddle/phi/core/hostdevice.h"
 
 namespace phi {

paddle/phi/kernels/funcs/detail/avx_mathfun.h

@@ -42,7 +42,7 @@
   (this is the zlib license)
 */
 #pragma once
-#include "paddle/fluid/platform/cpu_info.h"
+#include "paddle/phi/backends/cpu/cpu_info.h"
 
 /* __m128 is ugly to write */
 typedef __m256 v8sf;   // vector of 8 float (avx)

paddle/phi/kernels/sparse/cpu/softmax_grad_kernel.cc

@@ -14,15 +14,13 @@ limitations under the License. */
 
 #include "paddle/phi/kernels/sparse/softmax_grad_kernel.h"
 
-#include "paddle/fluid/platform/cpu_info.h"
 #include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/backends/cpu/cpu_info.h"
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/core/visit_type.h"
 #include "paddle/phi/kernels/funcs/cpu_vec.h"
 #include "paddle/phi/kernels/sparse/empty_kernel.h"
 
-namespace plt = paddle::platform;
-
 namespace phi {
 namespace sparse {
 
@@ -72,11 +70,11 @@ void SoftmaxCsrGradKernel(const Context& dev_ctx,
                                        out_crows_data[crow_idx]);
 
             T sum = 0;
-            phi::funcs::vec_mul_reduce<T, plt::avx>(
+            phi::funcs::vec_mul_reduce<T, backends::cpu::avx>(
                 row_nnz, dout_data, out_data, &sum);
-            phi::funcs::vec_add_bias<T, plt::avx>(
+            phi::funcs::vec_add_bias<T, backends::cpu::avx>(
                 row_nnz, static_cast<T>(-1) * sum, dout_data, dx_data);
-            phi::funcs::vec_mul<T, plt::avx>(
+            phi::funcs::vec_mul<T, backends::cpu::avx>(
                 row_nnz, dx_data, out_data, dx_data);
 
             out_data = out_data + row_nnz;

paddle/phi/kernels/sparse/cpu/softmax_kernel.cc

@@ -14,15 +14,13 @@ limitations under the License. */
 
 #include "paddle/phi/kernels/sparse/softmax_kernel.h"
 
-#include "paddle/fluid/platform/cpu_info.h"
 #include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/backends/cpu/cpu_info.h"
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/core/visit_type.h"
 #include "paddle/phi/kernels/funcs/cpu_vec.h"
 #include "paddle/phi/kernels/sparse/empty_kernel.h"
 
-namespace plt = paddle::platform;
-
 namespace phi {
 namespace sparse {
 
@@ -70,14 +68,14 @@ void SoftmaxCsrKernel(const Context& dev_ctx,
                                        x_crows_data[crow_idx]);
 
             row_max_val = *std::max_element(x_data, x_data + row_nnz);
-            phi::funcs::vec_add_bias<T, plt::avx>(
+            phi::funcs::vec_add_bias<T, backends::cpu::avx>(
                 row_nnz, static_cast<T>(-1) * row_max_val, x_data, out_data);
 
             phi::funcs::vec_exp<T>(row_nnz, out_data, out_data);
 
             T sum = 0;
-            phi::funcs::vec_sum<T, plt::avx>(row_nnz, out_data, &sum);
-            phi::funcs::vec_scal<T, plt::avx>(
+            phi::funcs::vec_sum<T, backends::cpu::avx>(row_nnz, out_data, &sum);
+            phi::funcs::vec_scal<T, backends::cpu::avx>(
                 row_nnz, static_cast<T>(1) / sum, out_data, out_data);
 
             x_data = x_data + row_nnz;

paddle/phi/tests/kernels/test_cpu_vec.cc

@@ -106,42 +106,43 @@ void TestAndBench(const int n,
 }
 
 TEST(CpuVecTest, sigmoid) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (auto sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
     TestAndBench<float>(sz, vec_sigmoid<float>, ref_sigmoid<float>);
     TestAndBench<float>(
-        sz, vec_sigmoid<float, platform::avx>, ref_sigmoid<float>);
+        sz, vec_sigmoid<float, backends::cpu::avx>, ref_sigmoid<float>);
     TestAndBench<float>(
-        sz, vec_sigmoid<float, platform::avx2>, ref_sigmoid<float>);
+        sz, vec_sigmoid<float, backends::cpu::avx2>, ref_sigmoid<float>);
     TestAndBench<float>(
-        sz, vec_sigmoid<float, platform::avx512f>, ref_sigmoid<float>);
+        sz, vec_sigmoid<float, backends::cpu::avx512f>, ref_sigmoid<float>);
   }
   TestAndBench<double>(30, vec_sigmoid<double>, ref_sigmoid<double>);
 }
 
 TEST(CpuVecTest, tanh) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (auto sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
     TestAndBench<float>(sz, vec_tanh<float>, ref_tanh<float>);
-    TestAndBench<float>(sz, vec_tanh<float, platform::avx>, ref_tanh<float>);
-    TestAndBench<float>(sz, vec_tanh<float, platform::avx2>, ref_tanh<float>);
     TestAndBench<float>(
-        sz, vec_tanh<float, platform::avx512f>, ref_tanh<float>);
+        sz, vec_tanh<float, backends::cpu::avx>, ref_tanh<float>);
+    TestAndBench<float>(
+        sz, vec_tanh<float, backends::cpu::avx2>, ref_tanh<float>);
+    TestAndBench<float>(
+        sz, vec_tanh<float, backends::cpu::avx512f>, ref_tanh<float>);
   }
   TestAndBench<double>(30, vec_tanh<double>, ref_tanh<double>);
 }
 
 TEST(CpuVecTest, relu) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (auto sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
     TestAndBench<float>(sz, vec_relu<float>, ref_relu<float>);
-    TestAndBench<float>(sz, vec_relu<float, platform::avx>, ref_relu<float>);
-    TestAndBench<float>(sz, vec_relu<float, platform::avx2>, ref_relu<float>);
     TestAndBench<float>(
-        sz, vec_relu<float, platform::avx512f>, ref_relu<float>);
+        sz, vec_relu<float, backends::cpu::avx>, ref_relu<float>);
+    TestAndBench<float>(
+        sz, vec_relu<float, backends::cpu::avx2>, ref_relu<float>);
+    TestAndBench<float>(
+        sz, vec_relu<float, backends::cpu::avx512f>, ref_relu<float>);
   }
   TestAndBench<double>(30, vec_relu<double>, ref_relu<double>);
 }
@@ -161,14 +162,16 @@ void compare_sum(size_t n,
 }
 
 TEST(CpuVecTest, vec_sum) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (size_t sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
-    compare_sum<float>(sz, vec_sum<float>, vec_sum<float, platform::isa_any>);
     compare_sum<float>(
-        sz, vec_sum<float, platform::avx>, vec_sum<float, platform::isa_any>);
+        sz, vec_sum<float>, vec_sum<float, backends::cpu::isa_any>);
+    compare_sum<float>(sz,
+                       vec_sum<float, backends::cpu::avx>,
+                       vec_sum<float, backends::cpu::isa_any>);
   }
-  compare_sum<double>(30U, vec_sum<double>, vec_sum<double, platform::isa_any>);
+  compare_sum<double>(
+      30U, vec_sum<double>, vec_sum<double, backends::cpu::isa_any>);
 }
 
 template <typename T>
@@ -192,18 +195,17 @@ void compare_clip(
 }
 
 TEST(CpuVecTest, vec_clip) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (size_t sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
     compare_clip<float>(
-        sz, -4.f, vec_clip<float>, vec_clip<float, platform::isa_any>);
+        sz, -4.f, vec_clip<float>, vec_clip<float, backends::cpu::isa_any>);
     compare_clip<float>(sz,
                         -1.1f,
-                        vec_clip<float, platform::avx>,
-                        vec_clip<float, platform::isa_any>);
+                        vec_clip<float, backends::cpu::avx>,
+                        vec_clip<float, backends::cpu::isa_any>);
   }
   compare_clip<double>(
-      30U, 1.0, vec_clip<double>, vec_clip<double, platform::isa_any>);
+      30U, 1.0, vec_clip<double>, vec_clip<double, backends::cpu::isa_any>);
 }
 
 template <typename T>
@@ -230,14 +232,16 @@ void compare_mul(
 }
 
 TEST(CpuVecTest, vec_mul) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (size_t sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
-    compare_mul<float>(sz, vec_mul<float>, vec_mul<float, platform::isa_any>);
     compare_mul<float>(
-        sz, vec_mul<float, platform::avx>, vec_mul<float, platform::isa_any>);
+        sz, vec_mul<float>, vec_mul<float, backends::cpu::isa_any>);
+    compare_mul<float>(sz,
+                       vec_mul<float, backends::cpu::avx>,
+                       vec_mul<float, backends::cpu::isa_any>);
   }
-  compare_mul<double>(30U, vec_mul<double>, vec_mul<double, platform::isa_any>);
+  compare_mul<double>(
+      30U, vec_mul<double>, vec_mul<double, backends::cpu::isa_any>);
 }
 
 template <typename T>
@@ -260,17 +264,18 @@ void compare_mul_reduce(
 }
 
 TEST(CpuVecTest, vec_mul_reduce) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (size_t sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
-    compare_mul_reduce<float>(
-        sz, vec_mul_reduce<float>, vec_mul_reduce<float, platform::isa_any>);
     compare_mul_reduce<float>(sz,
-                              vec_mul_reduce<float, platform::avx>,
-                              vec_mul_reduce<float, platform::isa_any>);
+                              vec_mul_reduce<float>,
+                              vec_mul_reduce<float, backends::cpu::isa_any>);
+    compare_mul_reduce<float>(sz,
+                              vec_mul_reduce<float, backends::cpu::avx>,
+                              vec_mul_reduce<float, backends::cpu::isa_any>);
   }
-  compare_mul_reduce<double>(
-      30U, vec_mul_reduce<double>, vec_mul_reduce<double, platform::isa_any>);
+  compare_mul_reduce<double>(30U,
+                             vec_mul_reduce<double>,
+                             vec_mul_reduce<double, backends::cpu::isa_any>);
 }
 
 template <typename T>
@@ -296,40 +301,43 @@ void TestInplace(const int n,
 }
 
 TEST(CpuVecTest, inplace_sigmoid) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (auto sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
     TestInplace<float>(sz, vec_sigmoid<float>, ref_sigmoid<float>);
     TestInplace<float>(
-        sz, vec_sigmoid<float, platform::avx>, ref_sigmoid<float>);
+        sz, vec_sigmoid<float, backends::cpu::avx>, ref_sigmoid<float>);
     TestInplace<float>(
-        sz, vec_sigmoid<float, platform::avx2>, ref_sigmoid<float>);
+        sz, vec_sigmoid<float, backends::cpu::avx2>, ref_sigmoid<float>);
     TestInplace<float>(
-        sz, vec_sigmoid<float, platform::avx512f>, ref_sigmoid<float>);
+        sz, vec_sigmoid<float, backends::cpu::avx512f>, ref_sigmoid<float>);
   }
   TestInplace<double>(30, vec_sigmoid<double>, ref_sigmoid<double>);
 }
 
 TEST(CpuVecTest, inplace_tanh) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (auto sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
     TestInplace<float>(sz, vec_tanh<float>, ref_tanh<float>);
-    TestInplace<float>(sz, vec_tanh<float, platform::avx>, ref_tanh<float>);
-    TestInplace<float>(sz, vec_tanh<float, platform::avx2>, ref_tanh<float>);
-    TestInplace<float>(sz, vec_tanh<float, platform::avx512f>, ref_tanh<float>);
+    TestInplace<float>(
+        sz, vec_tanh<float, backends::cpu::avx>, ref_tanh<float>);
+    TestInplace<float>(
+        sz, vec_tanh<float, backends::cpu::avx2>, ref_tanh<float>);
+    TestInplace<float>(
+        sz, vec_tanh<float, backends::cpu::avx512f>, ref_tanh<float>);
   }
   TestInplace<double>(30, vec_tanh<double>, ref_tanh<double>);
 }
 
 TEST(CpuVecTest, inplace_relu) {
-  namespace platform = paddle::platform;
   using namespace phi::funcs;  // NOLINT
   for (auto sz : {1, 2, 15, 16, 30, 32, 128, 200, 512}) {
     TestInplace<float>(sz, vec_relu<float>, ref_relu<float>);
-    TestInplace<float>(sz, vec_relu<float, platform::avx>, ref_relu<float>);
-    TestInplace<float>(sz, vec_relu<float, platform::avx2>, ref_relu<float>);
-    TestInplace<float>(sz, vec_relu<float, platform::avx512f>, ref_relu<float>);
+    TestInplace<float>(
+        sz, vec_relu<float, backends::cpu::avx>, ref_relu<float>);
+    TestInplace<float>(
+        sz, vec_relu<float, backends::cpu::avx2>, ref_relu<float>);
+    TestInplace<float>(
+        sz, vec_relu<float, backends::cpu::avx512f>, ref_relu<float>);
   }
   TestInplace<double>(30, vec_relu<double>, ref_relu<double>);
 }