深度学习模型代码

深度学习模型代码，包括rbm,grbm,卷积rbm，学习深度模型的好材料

import os pdb platform time warnings
import ctypes as ct
import numpy as np
import scipy.sparse as sp

MAX_ONES = 1024*1024*32

if platform.system（） == ‘Windows‘:
    _cudamat = ct.cdll.LoadLibrary（‘libcudamat.dll‘）
else:
    _cudamat = ct.cdll.LoadLibrary（‘libcudamat.so‘）

_cudamat.get_last_cuda_error.restype = ct.c_char_p
_cudamat.cublas_init.restype = ct.c_int
_cudamat.cublas_shutdown.restype = ct.c_int
_cudamat.cuda_set_device.restype = ct.c_int
_cudamat.init_random.restype = ct.c_int

_cudamat.init_empty.restype = ct.c_int
_cudamat.reshape.restype = ct.c_int
_cudamat.copy_to_host.restype = ct.c_int
_cudamat.allocate_device_memory = ct.c_int
_cudamat.copy_to_device.restype = ct.c_int
_cudamat.copy_on_device.restype = ct.c_int
_cudamat.free_device_memory.restype = ct.c_int

_cudamat.get_slice.restype = ct.c_int
_cudamat.get_row_slice.restype = ct.c_int
_cudamat.set_row_slice.restype = ct.c_int
_cudamat.copy_transpose.restype = ct.c_int
_cudamat.get_vector_slice.restype = ct.c_int
_cudamat.fill_with_rand.restype = ct.c_int
_cudamat.fill_with_randn.restype = ct.c_int

_cudamat.add_col_vec.restype = ct.c_int
_cudamat.add_col_mult.restype = ct.c_int
_cudamat.add_row_mult.restype = ct.c_int
_cudamat.add_row_vec.restype = ct.c_int
_cudamat.mult_by_col_vec.restype = ct.c_int
_cudamat.mult_by_row_vec.restype = ct.c_int

_cudamat.less_than.restype = ct.c_int
_cudamat.less_than_scalar.restype = ct.c_int
_cudamat.greater_than.restype = ct.c_int
_cudamat.greater_than_scalar.restype = ct.c_int
_cudamat.max_by_axis.restype = ct.c_int
_cudamat.argmax_by_axis.restype = ct.c_int
_cudamat.sqsum_by_axis.restype = ct.c_int
_cudamat.normlimit_by_axis.restype = ct.c_int
_cudamat.sign.restype = ct.c_int
_cudamat.apply_sigmoid.restype = ct.c_int
_cudamat.apply_tanh.restype = ct.c_int
_cudamat.apply_abs.restype = ct.c_int
_cudamat.apply_log_1_plus_exp.restype = ct.c_int
_cudamat.apply_log.restype = ct.c_int
_cudamat.apply_floor.restype = ct.c_int
_cudamat.apply_ceil.restype = ct.c_int
_cudamat.apply_exp.restype = ct.c_int
_cudamat.apply_sqrt.restype = ct.c_int
_cudamat.apply_pow.restype = ct.c_int
_cudamat.apply_pow_matrix.restype = ct.c_int
_cudamat.reciprocal.restype = ct.c_int

_cudamat.add_elementwise.restype = ct.c_int
_cudamat.subtract_elementwise.restype = ct.c_int
_cudamat.divide_elementwise.restype = ct.c_int
_cudamat.mult_elementwise.restype = ct.c_int
_cudamat.apply_logistic_deriv.restype = ct.c_int
_cudamat.assign_scalar.restype = ct.c_int
_cudamat.mult_by_scalar.restype = ct.c_int
_cudamat.divide_by_scalar.restype = ct.c_int
_cudamat.add_scalar.restype = ct.c_int

_cudamat.read_from.restype = ct.c_float
_cudamat.euclid_norm.restype = ct.c_float
_cudamat.selectRows.restype = ct.c_int
_cudamat.setSelectedRows.restype = ct.c_int
_cudamat.vdot.restype = ct.c_float
_cudamat.dot.restype = ct.c_int

def deprecated（func）:
    “““This is a decorator which can be used to mark functions
    as deprecated. It will result in a warning being emmitted
    when the f

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     文件         233  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\.gitignore
     文件        1896  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\INSTALL
     文件        1324  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\LICENSE.txt
     文件        2996  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\Makefile
     文件         737  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\README.md
     文件          71  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\bin\.gitignore
     文件       12024  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cpu\convnet_cpu.cc
     文件        3179  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cpu\convnet_cpu.h
     文件       10966  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cpu\cpuconv.cc
     文件        2713  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cpu\cpuconv.h
     文件        3741  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cpu\extract_representation_cpu.cc
     文件        1401  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cpu\Makefile
     文件          66  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\.gitignore
     文件       96783  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat.cu
     文件       12481  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat.cuh
     文件       62872  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat.py
     文件        3833  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv.cuh
     文件        8610  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv.py
     文件      158265  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_filteracts.cu
     文件      187698  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_imgacts.cu
     文件      193970  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_others.cu
     文件        1875  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_util.cu
     文件        2897  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_util.cuh
     文件      227172  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_conv_weightacts.cu
     文件       70249  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_kernels.cu
     文件       14612  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\cudamat_kernels.cuh
     文件        7978  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\gpu_lock2.py
     文件         846  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\Makefile
     文件      192369  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\rnd_multipliers_32bit.h
     文件         677  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\run_on_me_or_pid_quit
     文件          22  2020-10-22 12:23  TorontoDeepLearning-convnet-981771b\cudamat\__init__.py
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