wehub-resource-sync
69 lines
3.6 KiB
C++
69 lines
3.6 KiB
C++
// Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void FusedFeedForwardGradKernel(const Context& dev_ctx,
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const DenseTensor& out_grad,
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const DenseTensor& x,
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const DenseTensor& linear1_weight,
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const optional<DenseTensor>& linear1_bias,
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const DenseTensor& linear2_weight,
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const DenseTensor& dropout1_mask,
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const DenseTensor& dropout2_mask,
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const DenseTensor& linear1_out,
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const DenseTensor& dropout1_out,
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const optional<DenseTensor>& dropout2_out,
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const optional<DenseTensor>& ln1_scale,
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const optional<DenseTensor>& ln1_bias,
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const optional<DenseTensor>& ln1_out,
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const optional<DenseTensor>& ln1_mean,
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const optional<DenseTensor>& ln1_variance,
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const optional<DenseTensor>& ln2_scale,
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const optional<DenseTensor>& ln2_bias,
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const optional<DenseTensor>& ln2_mean,
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const optional<DenseTensor>& ln2_variance,
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const optional<DenseTensor>& linear2_bias,
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bool pre_layer_norm,
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float ln1_epsilon,
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float ln2_epsilon,
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const std::string& act_method,
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float dropout1_prob,
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float dropout2_prob,
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const std::string& dropout1_implementation,
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const std::string& dropout2_implementation,
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bool is_test,
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bool dropout1_fix_seed,
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bool dropout2_fix_seed,
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int dropout1_seed_val,
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int dropout2_seed_val,
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bool add_residual,
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int ring_id,
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DenseTensor* x_grad,
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DenseTensor* linear1_weight_grad,
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DenseTensor* linear1_bias_grad,
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DenseTensor* linear2_weight_grad,
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DenseTensor* linear2_bias_grad,
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DenseTensor* ln1_scale_grad,
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DenseTensor* ln1_bias_grad,
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DenseTensor* ln2_scale_grad,
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DenseTensor* ln2_bias_grad);
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} // namespace phi
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