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12 changes: 6 additions & 6 deletions paddle/fluid/operators/fused/fmha_ref.h
Original file line number Diff line number Diff line change
Expand Up @@ -16,12 +16,12 @@ limitations under the License. */

#include "paddle/fluid/operators/dropout_impl.cu.h"
#include "paddle/fluid/operators/fused/fused_softmax_mask.cu.h"
#include "paddle/fluid/operators/transpose_op.cu.h"
#include "paddle/phi/kernels/funcs/broadcast_function.h"
#include "paddle/phi/kernels/funcs/concat_and_split_functor.h"
#include "paddle/phi/kernels/funcs/elementwise_base.h"
#include "paddle/phi/kernels/funcs/elementwise_functor.h"
#include "paddle/phi/kernels/funcs/functors.h"
#include "paddle/phi/kernels/funcs/transpose_op.cu.h"
#include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h"

namespace paddle {
Expand Down Expand Up @@ -98,7 +98,7 @@ class FMHARef {
// transpose with perm [2, 0, 3, 1, 4],
// output_shape: [3, bs, num_head, seq_len, head_dim]
std::vector<int> perm_1 = {2, 0, 3, 1, 4};
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, qkv_input_tensor, perm_1, transpose_2_out_tensor);
T* qkv_data = transpose_2_out_tensor->data<T>();
T* qk_out_data = qk_out_tensor->data<T>();
Expand Down Expand Up @@ -254,7 +254,7 @@ class FMHARef {
// transpose: [0, 2, 1, 3]
// output shape: [batch_size, seq_len, num_heads, head_dim]
std::vector<int> perm_3 = {0, 2, 1, 3};
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, *qktv_out_tensor, perm_3, fmha_out_tensor);
}

Expand Down Expand Up @@ -428,7 +428,7 @@ class FMHARef {
// transpose: [0, 2, 1, 3]
// output shape: [batch_size, seq_len, num_heads, head_dim]
std::vector<int> perm_3 = {0, 2, 1, 3};
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, *qktv_out_tensor, perm_3, fmha_out_tensor);
}

Expand Down Expand Up @@ -470,7 +470,7 @@ class FMHARef {

// transpose bw
std::vector<int> perm_3 = {0, 2, 1, 3};
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, fmha_out_grad_tensor, perm_3, qktv_out_grad_tensor);

// recall batchedgemm(nn) fw: softmax_out_data(x) * v_ptr(y) =
Expand Down Expand Up @@ -648,7 +648,7 @@ class FMHARef {

// transpose bw
std::vector<int> perm_1 = {1, 3, 0, 2, 4};
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, *transpose_2_out_grad_tensor, perm_1, qkv_input_grad_tensor);
}

Expand Down
27 changes: 16 additions & 11 deletions paddle/fluid/operators/fused/fused_gate_attention.h
Original file line number Diff line number Diff line change
Expand Up @@ -14,11 +14,11 @@ limitations under the License. */

#pragma once

#include "paddle/fluid/operators/transpose_op.cu.h"
#include "paddle/phi/kernels/funcs/broadcast_function.h"
#include "paddle/phi/kernels/funcs/elementwise_base.h"
#include "paddle/phi/kernels/funcs/elementwise_functor.h"
#include "paddle/phi/kernels/funcs/reduce_function.h"
#include "paddle/phi/kernels/funcs/transpose_op.cu.h"
#include "paddle/phi/kernels/gpudnn/softmax_gpudnn.h"

namespace paddle {
Expand Down Expand Up @@ -626,9 +626,12 @@ class FMHAGateRef {
phi::DenseTensor* k_transpose_out,
phi::DenseTensor* v_transpose_out) {
std::vector<int> perm = {0, 1, 3, 2, 4};
TransposeGPUKernelDriver<T>(dev_ctx_, q_out, perm, q_transpose_out);
TransposeGPUKernelDriver<T>(dev_ctx_, k_out, perm, k_transpose_out);
TransposeGPUKernelDriver<T>(dev_ctx_, v_out, perm, v_transpose_out);
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, q_out, perm, q_transpose_out);
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, k_out, perm, k_transpose_out);
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, v_out, perm, v_transpose_out);
}

void ComputeQKVTransposeBackward(const phi::DenseTensor& q_transpose_out_grad,
Expand All @@ -638,11 +641,11 @@ class FMHAGateRef {
phi::DenseTensor* k_out_grad,
phi::DenseTensor* v_out_grad) {
std::vector<int> perm = {0, 1, 3, 2, 4};
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, q_transpose_out_grad, perm, q_out_grad);
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, k_transpose_out_grad, perm, k_out_grad);
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, v_transpose_out_grad, perm, v_out_grad);
}

Expand All @@ -651,14 +654,15 @@ class FMHAGateRef {
void ComputeQKVTransposeForward(const phi::DenseTensor& qkv_out,
phi::DenseTensor* qkv_transpose_out) {
std::vector<int> perm = {3, 0, 1, 4, 2, 5};
TransposeGPUKernelDriver<T>(dev_ctx_, qkv_out, perm, qkv_transpose_out);
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, qkv_out, perm, qkv_transpose_out);
}

void ComputeQKVTransposeBackward(
const phi::DenseTensor& qkv_transpose_out_grad,
phi::DenseTensor* qkv_out_grad) {
std::vector<int> perm = {1, 2, 4, 0, 3, 5};
TransposeGPUKernelDriver<T>(
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, qkv_transpose_out_grad, perm, qkv_out_grad);
}

Expand All @@ -667,13 +671,14 @@ class FMHAGateRef {
void ComputeQKTVTransposeForward(const phi::DenseTensor& qktv_out,
phi::DenseTensor* fmha_out) {
std::vector<int> perm = {0, 1, 3, 2, 4};
TransposeGPUKernelDriver<T>(dev_ctx_, qktv_out, perm, fmha_out);
phi::funcs::TransposeGPUKernelDriver<T>(dev_ctx_, qktv_out, perm, fmha_out);
}

void ComputeQKTVTransposeBackward(const phi::DenseTensor& fmha_out_grad,
phi::DenseTensor* qktv_out_grad) {
std::vector<int> perm = {0, 1, 3, 2, 4};
TransposeGPUKernelDriver<T>(dev_ctx_, fmha_out_grad, perm, qktv_out_grad);
phi::funcs::TransposeGPUKernelDriver<T>(
dev_ctx_, fmha_out_grad, perm, qktv_out_grad);
}

// qk_out = qk_out + nonbatched_bias + src_mask
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -18,11 +18,11 @@

#include <array>

#include "paddle/fluid/platform/enforce.h"
#include "paddle/phi/core/enforce.h"
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把gpu_utils.h这个文件放到phi/backends/gpu目录下吧

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Done

#include "unsupported/Eigen/CXX11/Tensor"

namespace paddle {
namespace framework {
namespace phi {
namespace funcs {

template <typename T, int Size, T DefaultValue>
struct DeviceArray {
Expand Down Expand Up @@ -110,16 +110,16 @@ IntType CeilOrFloor(IntType x, IntType deviser) {
PADDLE_ENFORCE_GT(
deviser,
0,
platform::errors::InvalidArgument("deviser should be greater than 0, "
"but received is:%d",
deviser));
phi::errors::InvalidArgument("deviser should be greater than 0, "
"but received is:%d",
deviser));

PADDLE_ENFORCE_GT(
x,
0,
platform::errors::InvalidArgument("input should be greater than 0, "
"but received is:%d",
x));
phi::errors::InvalidArgument("input should be greater than 0, "
"but received is:%d",
x));

const IntType round_to_zero = x / deviser;
const IntType inte_result = round_to_zero * deviser;
Expand All @@ -140,5 +140,5 @@ IntType CeilOrFloor(IntType x, IntType deviser) {
}
}

} // namespace framework
} // namespace paddle
} // namespace funcs
} // namespace phi
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