wehub-resource-sync
82 lines
3.0 KiB
C++
82 lines
3.0 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/bmm_kernel.h"
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#include "paddle/phi/kernels/xpu/bmm_xpu_utils.h"
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namespace phi {
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template <typename T, typename Context>
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void BmmKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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DenseTensor* out) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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dev_ctx.template Alloc<T>(out);
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if (x.numel() == 0 || y.numel() == 0) {
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return;
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}
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bool trans_x = false;
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bool trans_y = false;
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auto x_dims = x.dims();
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auto y_dims = y.dims();
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PADDLE_ENFORCE_EQ(x_dims.size(),
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3,
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common::errors::InvalidArgument(
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"Input(X) of BmmOp must be 3-dimensional in BmmOp, "
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"but received X's shape: [%s]",
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x_dims));
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PADDLE_ENFORCE_EQ(y_dims.size(),
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3,
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common::errors::InvalidArgument(
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"Input(Y) of BmmOp must be 3-dimensional in BmmOp, "
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"but received Y's shape: [%s].",
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y_dims));
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PADDLE_ENFORCE_EQ(
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x_dims[0],
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y_dims[0],
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common::errors::InvalidArgument(
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"Input(X) and Input(Y) must have the same batch size in BmmOp, "
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"but received X's batch size: [%s],"
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"Y's batch size [%s]",
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x_dims[0],
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y_dims[0]));
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PADDLE_ENFORCE_EQ(
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x_dims[2],
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y_dims[1],
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common::errors::InvalidArgument(
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"Input(X)'s width must be equal with Input(Y)'s height in BmmOp,"
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"but receive X's width: [%s],"
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"Y's height: [%s].",
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x_dims[2],
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y_dims[1]));
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xpu::Context* xpu_ctx = dev_ctx.x_context();
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int fc_calc_type = FCCalcType<XPUType>();
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if (fc_calc_type == XPUFCCalcType::FC_INT32) {
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MatMulXPUFunction<T, int32_t>(x, y, out, trans_x, trans_y, xpu_ctx);
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} else if (fc_calc_type == XPUFCCalcType::FC_FLOAT) {
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MatMulXPUFunction<T, float>(x, y, out, trans_x, trans_y, xpu_ctx);
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} else if (fc_calc_type == XPUFCCalcType::FC_INT32_WITH_LL) {
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MatMulXPUFunction<T, int_with_ll_t>(x, y, out, trans_x, trans_y, xpu_ctx);
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} else if (fc_calc_type == XPUFCCalcType::FC_FLOAT16) {
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MatMulXPUFunction<T, float16>(x, y, out, trans_x, trans_y, xpu_ctx);
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} else {
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MatMulXPUFunction<T, int16_t>(x, y, out, trans_x, trans_y, xpu_ctx);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(bmm, XPU, ALL_LAYOUT, phi::BmmKernel, float, phi::float16) {}
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