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add eager and static backend for warp lower level api
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,3 +1,3 @@ | ||
| add_subdirectory(primitive) | ||
| add_subdirectory(backend) | ||
| add_subdirectory(rule) | ||
| add_subdirectory(type) |
8 changes: 4 additions & 4 deletions
8
paddle/primitive/primitive/CMakeLists.txt → paddle/primitive/backend/CMakeLists.txt
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| Original file line number | Diff line number | Diff line change |
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| @@ -1,10 +1,10 @@ | ||
| if(NOT (NOT WITH_PYTHON AND ON_INFER)) | ||
| cc_library( | ||
| experimental_eager_primitive | ||
| SRCS eager_primitive.cc | ||
| experimental_eager_primitive_backend | ||
| SRCS eager_backend.cc | ||
| DEPS final_dygraph_function eager_utils) | ||
| endif() | ||
| cc_library( | ||
| experimental_static_primitive | ||
| SRCS static_primitive.cc | ||
| experimental_static_primitive_backend | ||
| SRCS static_backend.cc | ||
| DEPS proto_desc static_utils) |
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| // Copyright (c) 2023 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. | ||
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| #pragma once | ||
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| #include <string> | ||
| #include <vector> | ||
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| #include "paddle/fluid/framework/op_proto_maker.h" | ||
| #include "paddle/fluid/operators/common_infer_shape_functions.h" | ||
| #include "paddle/fluid/prim/api/generated_prim/prim_generated_api.h" | ||
| #include "paddle/phi/common/data_type.h" | ||
| #include "paddle/phi/common/int_array.h" | ||
| #include "paddle/phi/common/place.h" | ||
| #include "paddle/phi/common/scalar.h" | ||
| #include "paddle/phi/core/ddim.h" | ||
| #include "paddle/phi/kernels/funcs/blas/blas.h" | ||
| #include "paddle/utils/optional.h" | ||
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| namespace paddle { | ||
| namespace primitive { | ||
| namespace backend { | ||
| namespace experimental { | ||
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| using Tensor = paddle::Tensor; | ||
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| template <typename T> | ||
| Tensor tanh(const Tensor& x); | ||
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| template <typename T> | ||
| Tensor empty(const paddle::experimental::IntArray& shape, | ||
| phi::DataType dype, | ||
| const paddle::Place& place); | ||
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| template <typename T> | ||
| Tensor empty_like(const Tensor& x, | ||
| phi::DataType dtype, | ||
| const paddle::Place& place); | ||
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| // copy tensor for output ptr, in static need use assigh op | ||
| template <typename T> | ||
| void by_pass(const Tensor& x, Tensor* out); | ||
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| // set output ptr impl with tmp ptr impl,in dygraph OutGradMeta should be set | ||
| template <typename T> | ||
| void set_output(const Tensor& x_tmp, Tensor* x); | ||
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| // These method don't need to be specified | ||
| static phi::DDim get_reduce_dims_from_out(const phi::DDim& dout_dims, | ||
| const phi::DDim& in_dims) { | ||
| std::vector<int64_t> result; | ||
| int bat = dout_dims.size() - in_dims.size(); | ||
| for (int i = 0; i < bat; ++i) { | ||
| result.push_back(i); | ||
| } | ||
| for (int i = 0; i < in_dims.size(); ++i) { | ||
| if (in_dims[i] == 1) { | ||
| result.push_back(i + bat); | ||
| } else { | ||
| PADDLE_ENFORCE_EQ( | ||
| in_dims[i], | ||
| dout_dims[i + bat], | ||
| platform::errors::InvalidArgument( | ||
| "ReduceDims dimension mismatch. Operands could " | ||
| "not be broadcast together with the shape of dout = [%s] and " | ||
| "the shape of in_dims = [%s]. Received [%d] in X is not equal to " | ||
| "[%d] in Y at i:%d.", | ||
| dout_dims, | ||
| in_dims, | ||
| dout_dims[i + bat], | ||
| in_dims[i], | ||
| i)); | ||
| } | ||
| } | ||
| return phi::make_ddim(result); | ||
| } | ||
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| static phi::DDim get_reduce_dims(const phi::DDim& x_dims, | ||
| const phi::DDim& y_dims) { | ||
| auto out_dims = paddle::operators::details::BroadcastTwoDims(x_dims, y_dims); | ||
| return get_reduce_dims_from_out(out_dims, x_dims); | ||
| } | ||
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| static std::vector<int> get_reduce_dims(const Tensor& dx, | ||
| const int& dout_ndim, | ||
| const int& x_ndim, | ||
| std::vector<int64_t>* x_dims) { | ||
| // this branch for broadcast with 1dim, we make 1dim to 2dim which make | ||
| // ddout_ndim > dout_dim, but ddout_ndim just can be used when grad_out_grad | ||
| // != nullptr | ||
| if (dout_ndim < x_ndim) { | ||
| return std::vector<int>({}); | ||
| } | ||
| const std::vector<std::int64_t> dx_dims = phi::vectorize(dx.dims()); | ||
| std::vector<std::int64_t> broadcast_dims(dout_ndim); | ||
| std::fill( | ||
| broadcast_dims.data(), broadcast_dims.data() + dout_ndim - x_ndim, 1); | ||
| std::copy(x_dims->data(), | ||
| x_dims->data() + x_ndim, | ||
| broadcast_dims.data() + dout_ndim - x_ndim); | ||
| std::vector<int> reduce_dims; | ||
| for (int i = 0; i <= dout_ndim - 3; i++) { | ||
| if (dx_dims[i] != 1 && broadcast_dims[i] == 1) { | ||
| reduce_dims.push_back(i); | ||
| } | ||
| } | ||
| return reduce_dims; | ||
| } | ||
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| // TODO(cxxly): Check and throws InvalidCastException when overflow. | ||
| template <typename SRC_T, typename DST_T> | ||
| static std::vector<DST_T> unsafe_vector_cast(const std::vector<SRC_T>& src) { | ||
| std::vector<DST_T> dst(src.begin(), src.end()); | ||
| return dst; | ||
| } | ||
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| // This fucction compute unsqueeze dims for reshape to replace unsqueeze. | ||
| static std::vector<int64_t> get_unsqueeze_dims( | ||
| const Tensor& origin, const std::vector<int64_t>& axis) { | ||
| auto origin_dims = origin.shape(); | ||
| auto total_shape_size = origin_dims.size() + axis.size(); | ||
| std::vector<int64_t> result; | ||
| size_t j = 0, k = 0; | ||
| for (size_t i = 0; i < total_shape_size; ++i) { | ||
| if (j < axis.size() && axis[j] == int64_t(i)) { | ||
| result.push_back(1); | ||
| j++; | ||
| } else { | ||
| PADDLE_ENFORCE_LT( | ||
| k, | ||
| origin_dims.size(), | ||
| platform::errors::OutOfRange("Your index [%lu] exceeds the number of " | ||
| "elements in origin_dims[%lu].", | ||
| k, | ||
| origin_dims.size())); | ||
| result.push_back(origin_dims[k]); | ||
| k++; | ||
| } | ||
| } | ||
| return result; | ||
| } | ||
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| } // namespace experimental | ||
| } // namespace backend | ||
| } // namespace primitive | ||
| } // namespace paddle |
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