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pytensor
提交 627bd58e authored 作者: Frederic Bastien's avatar Frederic Bastien
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Removed old function CudaNdarray_new_null() as it is deprecated. Now use CudaNdarray_New()

上级 b5bdebb8
隐藏空白字符变更
内嵌 并排
正在显示 包含 32 行增加 和 43 行删除
theano/sandbox/cuda/basic_ops.py
浏览文件 @ 627bd58e
......@@ -1934,7 +1934,7 @@ class GpuAlloc(Op):
str += "||CudaNdarray_HOST_DIMS(%(out)s)[%(idx)s]!=dims[%(idx)s]"%locals()
str+="""){
Py_XDECREF(%(out)s);
%(out)s= (CudaNdarray*)CudaNdarray_new_null();
%(out)s= (CudaNdarray*)CudaNdarray_New();
CudaNdarray_alloc_contiguous(%(out)s, %(nd)s, dims);
}
if (CudaNdarray_CopyFromCudaNdarray(%(out)s, %(value)s, true))
......@@ -1952,7 +1952,7 @@ class GpuAlloc(Op):
return [None for i in inputs]
def c_code_cache_version(self):
return (2,)
return (3,)
gpu_alloc = GpuAlloc()
......
theano/sandbox/cuda/blas.py
浏览文件 @ 627bd58e
......@@ -22,7 +22,7 @@ class GpuDot22(Op):
return Apply(self, [x,y], [x.type()])
def c_code_cache_version(self):
return (1,0)
return (1,1)
def c_code(self, node, nodename, inputs, outputs, sub):
x, y = inputs
......@@ -48,7 +48,7 @@ class GpuDot22(Op):
npy_intp dims[2];
dims[0] = CudaNdarray_HOST_DIMS(%(x)s)[0];
dims[1] = CudaNdarray_HOST_DIMS(%(y)s)[1];
%(z)s = (CudaNdarray*)CudaNdarray_new_null();
%(z)s = (CudaNdarray*)CudaNdarray_New();
if ((NULL == %(z)s) || CudaNdarray_alloc_contiguous(%(z)s, 2, dims))
{
if (%(z)s)
......@@ -90,7 +90,7 @@ class GpuDot22Scalar(Op):
return Apply(self, [x,y,a], [x.type()])
def c_code_cache_version(self):
return (1,0)
return (1,1)
def c_code(self, node, name, inputs, outputs, sub):
x, y, a = inputs
......@@ -122,7 +122,7 @@ class GpuDot22Scalar(Op):
npy_intp dims[2];
dims[0] = CudaNdarray_HOST_DIMS(%(x)s)[0];
dims[1] = CudaNdarray_HOST_DIMS(%(y)s)[1];
%(z)s = (CudaNdarray*)CudaNdarray_new_null();
%(z)s = (CudaNdarray*)CudaNdarray_New();
if ((NULL == %(z)s) || CudaNdarray_alloc_contiguous(%(z)s, 2, dims))
{
if (%(z)s)
......@@ -436,7 +436,7 @@ class GpuDownsampleFactorMax(Op):
#def perform(self, node, input_storage, output_storage):
#raise NotImplementedError('only C is implemented')
def c_code_cache_version(self):
return (2)
return (3)
def c_code(self, node, nodename, inp, out, sub):
x, = inp
z, = out
......@@ -473,7 +473,7 @@ class GpuDownsampleFactorMax(Op):
|| (CudaNdarray_HOST_DIMS(%(z)s)[3] != dims[3]))
{
Py_XDECREF(%(z)s);
%(z)s = (CudaNdarray*)CudaNdarray_new_null();
%(z)s = (CudaNdarray*)CudaNdarray_New();
if ((NULL == %(z)s)
|| CudaNdarray_alloc_contiguous(%(z)s, 4, dims))
{
......@@ -588,7 +588,7 @@ class GpuDownsampleFactorMaxGrad(Op):
return Apply(self, [x, z, gz], [x.type()])
def c_code_cache_version(self):
#return ()
return (4,)
return (5,)
def c_code(self, node, nodename, inp, out, sub):
x, z, gz = inp
......@@ -611,7 +611,7 @@ class GpuDownsampleFactorMaxGrad(Op):
|| (CudaNdarray_HOST_DIMS(%(gx)s)[3] != CudaNdarray_HOST_DIMS(%(x)s)[3]))
{
Py_XDECREF(%(gx)s);
%(gx)s = (CudaNdarray*)CudaNdarray_new_null();
%(gx)s = (CudaNdarray*)CudaNdarray_New();
if ((NULL == %(gx)s)
|| CudaNdarray_alloc_contiguous(%(gx)s, 4, CudaNdarray_HOST_DIMS(%(x)s)))
{
......
theano/sandbox/cuda/cuda_ndarray.cu
浏览文件 @ 627bd58e
......@@ -350,7 +350,7 @@ PyObject* CudaNdarray_ZEROS(int n, int * dims)
// total_elements now contains the size of the array, in reals
int total_size = total_elements * sizeof(real);
CudaNdarray* rval = (CudaNdarray*)CudaNdarray_new_null();
CudaNdarray* rval = (CudaNdarray*)CudaNdarray_New();
if (!rval)
{
PyErr_SetString(PyExc_RuntimeError, "CudaNdarray_ZEROS: call to new_null failed");
......@@ -448,7 +448,7 @@ PyObject* CudaNdarray_Zeros(PyObject* dummy, PyObject* shape)
PyObject * CudaNdarray_Copy(CudaNdarray * self)
{
PyObject * rval = CudaNdarray_new_null();
PyObject * rval = CudaNdarray_New();
if ((!rval) || (-1 == self->nd))
{
return rval;
......@@ -509,7 +509,7 @@ PyObject * CudaNdarray_ReduceSum(CudaNdarray * self, PyObject * py_reduce_mask)
PyErr_SetString(PyExc_TypeError, "length of reduce_mask must match self->nd");
return NULL;
}
CudaNdarray * self_sum = (CudaNdarray*)CudaNdarray_new_null();
CudaNdarray * self_sum = (CudaNdarray*)CudaNdarray_New();
if (!self_sum)
{
return NULL;
......@@ -666,9 +666,8 @@ PyObject * CudaNdarray_Reshape(CudaNdarray * self, PyObject * shape)
}
// allocate new space (TODO: test to see if we can re-use old one)
CudaNdarray * rval = (CudaNdarray * )CudaNdarray_new_null();
if (!rval || CudaNdarray_alloc_contiguous(rval, rval_nd, rval_dims))
{
CudaNdarray * rval = (CudaNdarray * )CudaNdarray_New();
if (!rval || CudaNdarray_alloc_contiguous(rval, rval_nd, rval_dims)){
Py_XDECREF(rval);
free(rval_dims);
return NULL;
......@@ -754,7 +753,7 @@ PyObject * CudaNdarray_SetShapeI(CudaNdarray * self, PyObject *args)
static PyObject *
CudaNdarray_exp(CudaNdarray* self)
{
CudaNdarray * rval = (CudaNdarray *)CudaNdarray_new_null();
CudaNdarray * rval = (CudaNdarray *)CudaNdarray_New();
if ((NULL == rval) || CudaNdarray_alloc_contiguous(rval, self->nd, CudaNdarray_HOST_DIMS(self)))
{
Py_XDECREF(rval);
......@@ -872,7 +871,7 @@ CudaNdarray_add(PyObject* py_self, PyObject * py_other)
}
size *= (unsigned int) CudaNdarray_HOST_DIMS(self)[i];
}
CudaNdarray * rval = (CudaNdarray *)CudaNdarray_new_null();
CudaNdarray * rval = (CudaNdarray *)CudaNdarray_New();
if (!rval || CudaNdarray_alloc_contiguous(rval, self->nd, CudaNdarray_HOST_DIMS(self)))
{
Py_XDECREF(rval);
......@@ -2061,7 +2060,7 @@ CudaNdarray_from_gpu_pointer(PyObject* _unused, PyObject* args)
return NULL;
}
rval = CudaNdarray_new_null();
rval = CudaNdarray_New();
if (CudaNdarray_set_nd((CudaNdarray *)rval, nd))
{
......@@ -2136,7 +2135,7 @@ CudaNdarray_Dot(PyObject* _unused, PyObject* args)
PyErr_SetString(PyExc_TypeError, "need 2d CudaNdarray arg for now");
goto CudaNdarray_dot_fail;
}
rval = CudaNdarray_new_null();
rval = CudaNdarray_New();
if (!rval)
{
goto CudaNdarray_dot_fail;
......@@ -2246,7 +2245,7 @@ filter(PyObject* __unsed_self, PyObject *args) // args = (data, broadcastable, s
}
else
{
rval = (CudaNdarray*) CudaNdarray_new_null();
rval = (CudaNdarray*) CudaNdarray_New();
}
if (rval)
{
......@@ -2450,16 +2449,11 @@ CudaNdarray_is_c_contiguous(const CudaNdarray * self)
}
return c_contiguous;
}
PyObject *
CudaNdarray_new_null()
{
//TODO: this function is deprecated... do not use. Consider removing.
return CudaNdarray_New(-1);
}
PyObject *
CudaNdarray_new_nd(int nd)
{
CudaNdarray * rval = (CudaNdarray*) CudaNdarray_new_null();
CudaNdarray * rval = (CudaNdarray*) CudaNdarray_New();
if (!rval || CudaNdarray_set_nd(rval, nd))
{
Py_XDECREF(rval);
......
theano/sandbox/cuda/cuda_ndarray.cuh
浏览文件 @ 627bd58e
......@@ -81,7 +81,7 @@ struct CudaNdarray
* Return a CudaNdarray whose 'nd' dimensions are all 0.
*/
PyObject *
CudaNdarray_New(int nd);
CudaNdarray_New(int nd=-1);
/**
* Return 1 for a CudaNdarray otw 0
......@@ -296,11 +296,6 @@ CudaNdarray_SIZE_Object(const CudaNdarray *self, void *closure)
}
/**
* Allocate a new CudaNdarray with nd==-1
*/
PyObject * CudaNdarray_new_null();
/**
* Allocate a new CudaNdarray with room for given number of dimensions
*
......@@ -424,7 +419,7 @@ template<typename inttype>
PyObject *
CudaNdarray_NewDims(int nd, const inttype * dims)
{
CudaNdarray * rval = (CudaNdarray*)CudaNdarray_new_null();
CudaNdarray * rval = (CudaNdarray*)CudaNdarray_New();
if (rval)
{
if (CudaNdarray_alloc_contiguous(rval, nd, dims))
......
theano/sandbox/cuda/elemwise.py
浏览文件 @ 627bd58e
......@@ -37,7 +37,7 @@ def get_str_list_logical_scalar(node, value_str='ii_i%i_value', data_str='ii_i%i
class NaiveAlgo(object):
verbose = 0 # 1, 2 or 3 for more verbose output.
cache_version = ()
cache_version = ('debug', 13, verbose)
cache_version = ('debug', 14, verbose)
def __init__(self, scalar_op, sync=True, inplace_pattern={}):
"""
......@@ -888,7 +888,7 @@ nd_collapse_[i]=0;
}
if (NULL == %(oname)s)
{
%(oname)s = (CudaNdarray*)CudaNdarray_new_null();
%(oname)s = (CudaNdarray*)CudaNdarray_New();
if (!%(oname)s)
{
//error string already set
......
theano/sandbox/cuda/nnet.py
浏览文件 @ 627bd58e
......@@ -191,7 +191,7 @@ class GpuCrossentropySoftmax1HotWithBiasDx (Op):
def make_node(self, dy, sm, y_idx):
return Apply(self, [dy, sm, y_idx],[sm.type()])
def c_code_cache_version(self):
return (3,)
return (4,)
#return ()
def c_code(self, node, nodename, inp, out, sub):
dnll, sm, y_idx = inp
......@@ -221,7 +221,7 @@ class GpuCrossentropySoftmax1HotWithBiasDx (Op):
|| (CudaNdarray_HOST_DIMS(%(dx)s)[1] != CudaNdarray_HOST_DIMS(%(sm)s)[1]))
{
Py_XDECREF(%(dx)s);
%(dx)s = (CudaNdarray*)CudaNdarray_new_null();
%(dx)s = (CudaNdarray*)CudaNdarray_New();
if ((NULL == %(dx)s)
|| CudaNdarray_alloc_contiguous(%(dx)s, 2, CudaNdarray_HOST_DIMS(%(sm)s)))
{
......@@ -309,7 +309,7 @@ class GpuSoftmax (Op):
return shape
def c_code_cache_version(self):
#return ()
return (2,) + inline_softmax.code_version
return (3,) + inline_softmax.code_version
def c_code(self, node, nodename, inp, out, sub):
x, = inp
z, = out
......@@ -325,7 +325,7 @@ class GpuSoftmax (Op):
|| (CudaNdarray_HOST_DIMS(%(z)s)[1] != CudaNdarray_HOST_DIMS(%(x)s)[1]))
{
Py_XDECREF(%(z)s);
%(z)s = (CudaNdarray*)CudaNdarray_new_null();
%(z)s = (CudaNdarray*)CudaNdarray_New();
if ((NULL == %(z)s)
|| CudaNdarray_alloc_contiguous(%(z)s, 2, CudaNdarray_HOST_DIMS(%(x)s)))
{
......@@ -398,7 +398,7 @@ class GpuSoftmaxWithBias (Op):
return [shape[0]]
def c_code_cache_version(self):
#return ()
return (2,) + inline_softmax.code_version
return (3,) + inline_softmax.code_version
def c_code(self, node, nodename, inp, out, sub):
x, b = inp
......@@ -426,7 +426,7 @@ class GpuSoftmaxWithBias (Op):
|| (CudaNdarray_HOST_DIMS(%(z)s)[1] != CudaNdarray_HOST_DIMS(%(x)s)[1]))
{
Py_XDECREF(%(z)s);
%(z)s = (CudaNdarray*)CudaNdarray_new_null();
%(z)s = (CudaNdarray*)CudaNdarray_New();
if ((NULL == %(z)s)
|| CudaNdarray_alloc_contiguous(%(z)s, 2, CudaNdarray_HOST_DIMS(%(x)s)))
{
......
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