[cherry-pick 2.1]Add op read_file and decode_jpeg

cmake/operators.cmake

@@ -182,6 +182,7 @@ function(op_library TARGET)
         list(REMOVE_ITEM hip_srcs "cholesky_op.cu")
         list(REMOVE_ITEM hip_srcs "correlation_op.cu")
         list(REMOVE_ITEM hip_srcs "multinomial_op.cu")
+        list(REMOVE_ITEM hip_srcs "decode_jpeg_op.cu")
         hip_library(${TARGET} SRCS ${cc_srcs} ${hip_cc_srcs} ${miopen_cu_cc_srcs} ${miopen_cu_srcs} ${mkldnn_cc_srcs} ${hip_srcs} DEPS ${op_library_DEPS}
                 ${op_common_deps})
     else()

paddle/fluid/operators/decode_jpeg_op.cc

@@ -0,0 +1,114 @@
+// Copyright (c) 2021 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.
+
+#include <fstream>
+#include <string>
+#include <vector>
+
+#include "paddle/fluid/framework/generator.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/framework/operator.h"
+#include "paddle/fluid/platform/dynload/nvjpeg.h"
+#include "paddle/fluid/platform/enforce.h"
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class CPUDecodeJpegKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    // TODO(LieLinJiang): add cpu implement.
+    PADDLE_THROW(platform::errors::Unimplemented(
+        "DecodeJpeg op only supports GPU now."));
+  }
+};
+
+class DecodeJpegOp : public framework::OperatorWithKernel {
+ public:
+  using framework::OperatorWithKernel::OperatorWithKernel;
+
+  void InferShape(framework::InferShapeContext* ctx) const override {
+    OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "DecodeJpeg");
+    OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "DecodeJpeg");
+
+    auto mode = ctx->Attrs().Get<std::string>("mode");
+    std::vector<int> out_dims;
+
+    if (mode == "unchanged") {
+      out_dims = {-1, -1, -1};
+    } else if (mode == "gray") {
+      out_dims = {1, -1, -1};
+    } else if (mode == "rgb") {
+      out_dims = {3, -1, -1};
+    } else {
+      PADDLE_THROW(platform::errors::Fatal(
+          "The provided mode is not supported for JPEG files on GPU: ", mode));
+    }
+
+    ctx->SetOutputDim("Out", framework::make_ddim(out_dims));
+  }
+
+ protected:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext& ctx) const override {
+    return framework::OpKernelType(
+        OperatorWithKernel::IndicateVarDataType(ctx, "X"), ctx.GetPlace());
+  }
+
+  framework::OpKernelType GetKernelTypeForVar(
+      const std::string& var_name, const framework::Tensor& tensor,
+      const framework::OpKernelType& expected_kernel_type) const {
+    if (var_name == "X") {
+      return expected_kernel_type;
+    }
+
+    return framework::OpKernelType(tensor.type(), tensor.place(),
+                                   tensor.layout());
+  }
+};
+
+class DecodeJpegOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() override {
+    AddInput("X",
+             "A one dimensional uint8 tensor containing the raw bytes "
+             "of the JPEG image. It is a tensor with rank 1.");
+    AddOutput("Out", "The output tensor of DecodeJpeg op");
+    AddComment(R"DOC(
+This operator decodes a JPEG image into a 3 dimensional RGB Tensor 
+or 1 dimensional Gray Tensor. Optionally converts the image to the 
+desired format. The values of the output tensor are uint8 between 0 
+and 255.
+)DOC");
+    AddAttr<std::string>(
+        "mode",
+        "(string, default \"unchanged\"), The read mode used "
+        "for optionally converting the image, can be \"unchanged\" "
+        ",\"gray\" , \"rgb\" .")
+        .SetDefault("unchanged");
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+
+REGISTER_OPERATOR(
+    decode_jpeg, ops::DecodeJpegOp, ops::DecodeJpegOpMaker,
+    paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
+    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>)
+
+REGISTER_OP_CPU_KERNEL(decode_jpeg, ops::CPUDecodeJpegKernel<uint8_t>)

paddle/fluid/operators/decode_jpeg_op.cu

@@ -0,0 +1,138 @@
+// Copyright (c) 2021 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.
+
+#ifndef PADDLE_WITH_HIP
+
+#include <string>
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/platform/dynload/nvjpeg.h"
+#include "paddle/fluid/platform/enforce.h"
+#include "paddle/fluid/platform/stream/cuda_stream.h"
+
+namespace paddle {
+namespace operators {
+
+static cudaStream_t nvjpeg_stream = nullptr;
+static nvjpegHandle_t nvjpeg_handle = nullptr;
+
+void InitNvjpegImage(nvjpegImage_t* img) {
+  for (int c = 0; c < NVJPEG_MAX_COMPONENT; c++) {
+    img->channel[c] = nullptr;
+    img->pitch[c] = 0;
+  }
+}
+
+template <typename T>
+class GPUDecodeJpegKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    // Create nvJPEG handle
+    if (nvjpeg_handle == nullptr) {
+      nvjpegStatus_t create_status =
+          platform::dynload::nvjpegCreateSimple(&nvjpeg_handle);
+
+      PADDLE_ENFORCE_EQ(create_status, NVJPEG_STATUS_SUCCESS,
+                        platform::errors::Fatal("nvjpegCreateSimple failed: ",
+                                                create_status));
+    }
+
+    nvjpegJpegState_t nvjpeg_state;
+    nvjpegStatus_t state_status =
+        platform::dynload::nvjpegJpegStateCreate(nvjpeg_handle, &nvjpeg_state);
+
+    PADDLE_ENFORCE_EQ(state_status, NVJPEG_STATUS_SUCCESS,
+                      platform::errors::Fatal("nvjpegJpegStateCreate failed: ",
+                                              state_status));
+
+    int components;
+    nvjpegChromaSubsampling_t subsampling;
+    int widths[NVJPEG_MAX_COMPONENT];
+    int heights[NVJPEG_MAX_COMPONENT];
+
+    auto* x = ctx.Input<framework::Tensor>("X");
+    auto* x_data = x->data<T>();
+
+    nvjpegStatus_t info_status = platform::dynload::nvjpegGetImageInfo(
+        nvjpeg_handle, x_data, (size_t)x->numel(), &components, &subsampling,
+        widths, heights);
+
+    PADDLE_ENFORCE_EQ(
+        info_status, NVJPEG_STATUS_SUCCESS,
+        platform::errors::Fatal("nvjpegGetImageInfo failed: ", info_status));
+
+    int width = widths[0];
+    int height = heights[0];
+
+    nvjpegOutputFormat_t output_format;
+    int output_components;
+
+    auto mode = ctx.Attr<std::string>("mode");
+    if (mode == "unchanged") {
+      if (components == 1) {
+        output_format = NVJPEG_OUTPUT_Y;
+        output_components = 1;
+      } else if (components == 3) {
+        output_format = NVJPEG_OUTPUT_RGB;
+        output_components = 3;
+      } else {
+        platform::dynload::nvjpegJpegStateDestroy(nvjpeg_state);
+        PADDLE_THROW(platform::errors::Fatal(
+            "The provided mode is not supported for JPEG files on GPU"));
+      }
+    } else if (mode == "gray") {
+      output_format = NVJPEG_OUTPUT_Y;
+      output_components = 1;
+    } else if (mode == "rgb") {
+      output_format = NVJPEG_OUTPUT_RGB;
+      output_components = 3;
+    } else {
+      platform::dynload::nvjpegJpegStateDestroy(nvjpeg_state);
+      PADDLE_THROW(platform::errors::Fatal(
+          "The provided mode is not supported for JPEG files on GPU"));
+    }
+
+    nvjpegImage_t out_image;
+    InitNvjpegImage(&out_image);
+
+    // create nvjpeg stream
+    if (nvjpeg_stream == nullptr) {
+      cudaStreamCreateWithFlags(&nvjpeg_stream, cudaStreamNonBlocking);
+    }
+
+    int sz = widths[0] * heights[0];
+
+    auto* out = ctx.Output<framework::LoDTensor>("Out");
+    std::vector<int64_t> out_shape = {output_components, height, width};
+    out->Resize(framework::make_ddim(out_shape));
+
+    T* data = out->mutable_data<T>(ctx.GetPlace());
+
+    for (int c = 0; c < output_components; c++) {
+      out_image.channel[c] = data + c * sz;
+      out_image.pitch[c] = width;
+    }
+
+    nvjpegStatus_t decode_status = platform::dynload::nvjpegDecode(
+        nvjpeg_handle, nvjpeg_state, x_data, x->numel(), output_format,
+        &out_image, nvjpeg_stream);
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+REGISTER_OP_CUDA_KERNEL(decode_jpeg, ops::GPUDecodeJpegKernel<uint8_t>)
+
+#endif

paddle/fluid/operators/read_file_op.cc

@@ -0,0 +1,92 @@
+// Copyright (c) 2021 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.
+
+#include <fstream>
+#include <string>
+#include <vector>
+
+#include "paddle/fluid/framework/generator.h"
+#include "paddle/fluid/framework/op_registry.h"
+#include "paddle/fluid/framework/operator.h"
+#include "paddle/fluid/platform/enforce.h"
+
+namespace paddle {
+namespace operators {
+
+template <typename T>
+class CPUReadFileKernel : public framework::OpKernel<T> {
+ public:
+  void Compute(const framework::ExecutionContext& ctx) const override {
+    auto filename = ctx.Attr<std::string>("filename");
+
+    std::ifstream input(filename.c_str(),
+                        std::ios::in | std::ios::binary | std::ios::ate);
+    std::streamsize file_size = input.tellg();
+
+    input.seekg(0, std::ios::beg);
+
+    auto* out = ctx.Output<framework::LoDTensor>("Out");
+    std::vector<int64_t> out_shape = {file_size};
+    out->Resize(framework::make_ddim(out_shape));
+
+    uint8_t* data = out->mutable_data<T>(ctx.GetPlace());
+
+    input.read(reinterpret_cast<char*>(data), file_size);
+  }
+};
+
+class ReadFileOp : public framework::OperatorWithKernel {
+ public:
+  using framework::OperatorWithKernel::OperatorWithKernel;
+
+  void InferShape(framework::InferShapeContext* ctx) const override {
+    PADDLE_ENFORCE_EQ(ctx->HasOutput("Out"), true,
+                      platform::errors::InvalidArgument(
+                          "Output(Out) of ReadFileOp is null."));
+
+    auto out_dims = std::vector<int>(1, -1);
+    ctx->SetOutputDim("Out", framework::make_ddim(out_dims));
+  }
+
+ protected:
+  framework::OpKernelType GetExpectedKernelType(
+      const framework::ExecutionContext& ctx) const override {
+    return framework::OpKernelType(framework::proto::VarType::UINT8,
+                                   platform::CPUPlace());
+  }
+};
+
+class ReadFileOpMaker : public framework::OpProtoAndCheckerMaker {
+ public:
+  void Make() override {
+    AddOutput("Out", "The output tensor of ReadFile op");
+    AddComment(R"DOC(
+This operator read a file.
+)DOC");
+    AddAttr<std::string>("filename", "Path of the file to be readed.")
+        .SetDefault({});
+  }
+};
+
+}  // namespace operators
+}  // namespace paddle
+
+namespace ops = paddle::operators;
+
+REGISTER_OPERATOR(
+    read_file, ops::ReadFileOp, ops::ReadFileOpMaker,
+    paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
+    paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>)
+
+REGISTER_OP_CPU_KERNEL(read_file, ops::CPUReadFileKernel<uint8_t>)

paddle/fluid/platform/dynload/CMakeLists.txt

@@ -1,6 +1,6 @@
 cc_library(dynamic_loader SRCS dynamic_loader.cc DEPS glog gflags enforce)
 
-list(APPEND CUDA_SRCS cublas.cc cudnn.cc curand.cc cusolver.cc nvtx.cc)
+list(APPEND CUDA_SRCS cublas.cc cudnn.cc curand.cc cusolver.cc nvtx.cc nvjpeg.cc)
 
 if (WITH_ROCM)
   list(APPEND HIP_SRCS rocblas.cc miopen.cc hiprand.cc)