61 lines
2.4 KiB
C++
61 lines
2.4 KiB
C++
// Copyright (c) 2022 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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#include "paddle/phi/kernels/warpctc_grad_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/backends/xpu/xpu_context.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 WarpctcGradKernel(const Context& dev_ctx,
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const DenseTensor& logits,
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const optional<DenseTensor>& logits_length,
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const DenseTensor& warpctcgrad,
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const DenseTensor& loss_grad,
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int blank,
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bool norm_by_times,
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DenseTensor* logits_grad) {
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dev_ctx.template Alloc<T>(logits_grad);
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bool has_logits_length = logits_length.is_initialized();
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if (!has_logits_length) {
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PADDLE_THROW(common::errors::External(
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"XPU only support logits_length is_initialized"));
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}
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int64_t max_seq_length = warpctcgrad.dims()[0]; // Tmax
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int64_t num_sequences = warpctcgrad.dims()[1]; // B
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int64_t seq_width = warpctcgrad.dims()[2]; // D
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auto* logits_length_ptr = logits_length.get_ptr();
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int r = xpu::ctc_loss_grad<T, int64_t>(dev_ctx.x_context(),
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loss_grad.data<T>(),
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logits_grad->data<T>(),
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warpctcgrad.data<T>(),
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max_seq_length,
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num_sequences,
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seq_width,
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logits_length_ptr->data<int64_t>(),
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norm_by_times);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "ctc_loss_grad");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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warpctc_grad, XPU, ALL_LAYOUT, phi::WarpctcGradKernel, float) {}
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