Caffe build can't find a file in #include

[Maosef]

Currently Loaded Modulefiles:

1. cuda/7.5.18 2) cudnn/v4

Config details:

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers
# USE_OPENCV := 0
# USE_LEVELDB := 0
# USE_LMDB := 0

# uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)
#       You should not set this flag if you will be reading LMDBs with any
#       possibility of simultaneous read and write
# ALLOW_LMDB_NOLOCK := 1

# Uncomment if you're using OpenCV 3
# OPENCV_VERSION := 3

# To customize your choice of compiler, uncomment and set the following.
# N.B. the default for Linux is g++ and the default for OSX is clang++
# CUSTOM_CXX := g++

# CUDA directory contains bin/ and lib/ directories that we need.
CUDA_DIR := /usr/local/cuda
# On Ubuntu 14.04, if cuda tools are installed via
# "sudo apt-get install nvidia-cuda-toolkit" then use this instead:
# CUDA_DIR := /usr

# CUDA architecture setting: going with all of them.
# For CUDA < 6.0, comment the *_50 lines for compatibility.
CUDA_ARCH := -gencode arch=compute_20,code=sm_20 \
                -gencode arch=compute_20,code=sm_21 \
                -gencode arch=compute_30,code=sm_30 \
                -gencode arch=compute_35,code=sm_35 \
                -gencode arch=compute_50,code=sm_50 \
                -gencode arch=compute_50,code=compute_50

# BLAS choice:
# atlas for ATLAS (default)
# mkl for MKL
# open for OpenBlas
BLAS := atlas
# Custom (MKL/ATLAS/OpenBLAS) include and lib directories.
# Leave commented to accept the defaults for your choice of BLAS
# (which should work)!
# BLAS_INCLUDE := /path/to/your/blas
# BLAS_LIB := /path/to/your/blas

# Homebrew puts openblas in a directory that is not on the standard search path
# BLAS_INCLUDE := $(shell brew --prefix openblas)/include
# BLAS_LIB := $(shell brew --prefix openblas)/lib

# This is required only if you will compile the matlab interface.
# MATLAB directory should contain the mex binary in /bin.
# MATLAB_DIR := /usr/local
# MATLAB_DIR := /Applications/MATLAB_R2012b.app

# NOTE: this is required only if you will compile the python interface.
# We need to be able to find Python.h and numpy/arrayobject.h.
PYTHON_INCLUDE := /usr/include/python2.7 \
                /usr/lib/python2.7/dist-packages/numpy/core/include
# Anaconda Python distribution is quite popular. Include path:
# Verify anaconda location, sometimes it's in root.
ANACONDA_HOME := /scratch1/anaconda2
PYTHON_INCLUDE := $(ANACONDA_HOME)/include \
                $(ANACONDA_HOME)/include/python2.7 \
                $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \

# Uncomment to use Python 3 (default is Python 2)
# PYTHON_LIBRARIES := boost_python3 python3.5m
# PYTHON_INCLUDE := /usr/include/python3.5m \
#                 /usr/lib/python3.5/dist-packages/numpy/core/include

# We need to be able to find libpythonX.X.so or .dylib.
PYTHON_LIB := /usr/lib
# PYTHON_LIB := $(ANACONDA_HOME)/lib

# Homebrew installs numpy in a non standard path (keg only)
# PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.__file__)'))/include
# PYTHON_LIB += $(shell brew --prefix numpy)/lib

# Uncomment to support layers written in Python (will link against Python libs)
WITH_PYTHON_LAYER := 1

# Whatever else you find you need goes here.
INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib

# If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies
# INCLUDE_DIRS += $(shell brew --prefix)/include
# LIBRARY_DIRS += $(shell brew --prefix)/lib

# Uncomment to use `pkg-config` to specify OpenCV library paths.
# (Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)
# USE_PKG_CONFIG := 1

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/171
# DEBUG := 1

# The ID of the GPU that 'make runtest' will use to run unit tests.
TEST_GPUID := 0

# enable pretty build (comment to see full commands)
Q ?= @

Build details:

(sortrcnn) -bash-4.2$ make -j8 && make pycaffe
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/data_reader.cpp
CXX src/caffe/solver.cpp
CXX src/caffe/layers/cudnn_lcn_layer.cpp
CXX src/caffe/layers/roi_pooling_layer.cpp
CXX src/caffe/layers/contrastive_loss_layer.cpp
CXX src/caffe/layers/softmax_layer.cpp
CXX src/caffe/layers/filter_layer.cpp
CXX src/caffe/layers/batch_norm_layer.cpp
CXX src/caffe/layers/reshape_layer.cpp
CXX src/caffe/layers/relu_layer.cpp
CXX src/caffe/layers/cudnn_conv_layer.cpp
CXX src/caffe/layers/power_layer.cpp
CXX src/caffe/layers/image_data_layer.cpp
CXX src/caffe/layers/hdf5_data_layer.cpp
CXX src/caffe/layers/inner_product_layer.cpp
CXX src/caffe/layers/tile_layer.cpp
CXX src/caffe/layers/slice_layer.cpp
CXX src/caffe/layers/log_layer.cpp
CXX src/caffe/layers/reduction_layer.cpp
CXX src/caffe/layers/loss_layer.cpp
CXX src/caffe/layers/im2col_layer.cpp
CXX src/caffe/layers/conv_layer.cpp
CXX src/caffe/layers/elu_layer.cpp
CXX src/caffe/layers/euclidean_loss_layer.cpp
CXX src/caffe/layers/dummy_data_layer.cpp
CXX src/caffe/layers/base_data_layer.cpp
CXX src/caffe/layers/exp_layer.cpp
CXX src/caffe/layers/spp_layer.cpp
CXX src/caffe/layers/scale_layer.cpp
CXX src/caffe/layers/neuron_layer.cpp
CXX src/caffe/layers/embed_layer.cpp
CXX src/caffe/layers/cudnn_tanh_layer.cpp
CXX src/caffe/layers/infogain_loss_layer.cpp
CXX src/caffe/layers/deconv_layer.cpp
CXX src/caffe/layers/batch_reindex_layer.cpp
CXX src/caffe/layers/eltwise_layer.cpp
CXX src/caffe/layers/hdf5_output_layer.cpp
CXX src/caffe/layers/bias_layer.cpp
CXX src/caffe/layers/cudnn_softmax_layer.cpp
CXX src/caffe/layers/cudnn_relu_layer.cpp
CXX src/caffe/layers/lrn_layer.cpp
CXX src/caffe/layers/pooling_layer.cpp
CXX src/caffe/layers/cudnn_pooling_layer.cpp
CXX src/caffe/layers/absval_layer.cpp
CXX src/caffe/layers/cudnn_lrn_layer.cpp
CXX src/caffe/layers/sigmoid_cross_entropy_loss_layer.cpp
CXX src/caffe/layers/dropout_layer.cpp
CXX src/caffe/layers/base_conv_layer.cpp
CXX src/caffe/layers/softmax_loss_layer.cpp
CXX src/caffe/layers/hinge_loss_layer.cpp
CXX src/caffe/layers/silence_layer.cpp
CXX src/caffe/layers/bnll_layer.cpp
CXX src/caffe/layers/mvn_layer.cpp
CXX src/caffe/layers/accuracy_layer.cpp
CXX src/caffe/layers/smooth_L1_loss_layer.cpp
CXX src/caffe/layers/concat_layer.cpp
CXX src/caffe/layers/threshold_layer.cpp
CXX src/caffe/layers/cudnn_sigmoid_layer.cpp
CXX src/caffe/layers/memory_data_layer.cpp
CXX src/caffe/layers/flatten_layer.cpp
CXX src/caffe/layers/prelu_layer.cpp
CXX src/caffe/layers/multinomial_logistic_loss_layer.cpp
CXX src/caffe/layers/split_layer.cpp
CXX src/caffe/layers/tanh_layer.cpp
CXX src/caffe/layers/data_layer.cpp
CXX src/caffe/layers/sigmoid_layer.cpp
CXX src/caffe/layers/window_data_layer.cpp
CXX src/caffe/layers/argmax_layer.cpp
CXX src/caffe/net.cpp
CXX src/caffe/syncedmem.cpp
CXX src/caffe/layer.cpp
CXX src/caffe/blob.cpp
CXX src/caffe/solvers/nesterov_solver.cpp
CXX src/caffe/solvers/sgd_solver.cpp
CXX src/caffe/solvers/adadelta_solver.cpp
CXX src/caffe/solvers/rmsprop_solver.cpp
CXX src/caffe/solvers/adam_solver.cpp
CXX src/caffe/solvers/adagrad_solver.cpp
CXX src/caffe/common.cpp
CXX src/caffe/parallel.cpp
CXX src/caffe/internal_thread.cpp
CXX src/caffe/util/io.cpp
CXX src/caffe/util/benchmark.cpp
CXX src/caffe/util/db_leveldb.cpp
CXX src/caffe/util/insert_splits.cpp
CXX src/caffe/util/cudnn.cpp
CXX src/caffe/util/upgrade_proto.cpp
CXX src/caffe/util/im2col.cpp
CXX src/caffe/util/math_functions.cpp
CXX src/caffe/util/db_lmdb.cpp
CXX src/caffe/util/signal_handler.cpp
CXX src/caffe/util/blocking_queue.cpp
CXX src/caffe/util/db.cpp
CXX src/caffe/util/hdf5.cpp
CXX src/caffe/data_transformer.cpp
CXX src/caffe/layer_factory.cpp
NVCC src/caffe/layers/roi_pooling_layer.cu
make: /usr/local/cuda/bin/nvcc: Command not found
make: *** [.build_release/cuda/src/caffe/layers/roi_pooling_layer.o] Error 127
make: *** Waiting for unfinished jobs....

Testing the error

(sortrcnn) -bash-4.2$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Tue_Aug_11_14:27:32_CDT_2015
Cuda compilation tools, release 7.5, V7.5.17
(sortrcnn) -bash-4.2$
(sortrcnn) -bash-4.2$ nvcc src/caffe/layers/roi_pooling_layer.cu
src/caffe/layers/roi_pooling_layer.cu:10:38: fatal error: caffe/fast_rcnn_layers.hpp: No such file or directory
 #include "caffe/fast_rcnn_layers.hpp"
                                      ^
compilation terminated.

(sortrcnn) -bash-4.2$ ls src/caffe/
blob.cpp        data_reader.cpp       layer.cpp          net.cpp       solver.cpp     test
CMakeLists.txt  data_transformer.cpp  layer_factory.cpp  parallel.cpp  solvers        util
common.cpp      internal_thread.cpp   layers             proto         syncedmem.cpp

Looks like fast_rcnn_layers.hpp doesn't exist. I assumed it relates to this repo and not caffe. Any thoughts?

On a deeper look, I found fast_rcnn_layers.hpp is in caffe-fast-rcnn/include. Wondering now why it isn't visible.