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pytensor
提交 e2fb6451 authored 作者: Arnaud Bergeron's avatar Arnaud Bergeron
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Fix direct uses of ops.

上级 ff71803f
隐藏空白字符变更
内嵌 并排
正在显示 包含 19 行增加 和 21 行删除
theano/gpuarray/blockgemv.c
浏览文件 @ e2fb6451
......@@ -27,8 +27,7 @@ int APPLY_SPECIFIC(blockgemv)(PyGpuArrayObject *o, PyGpuArrayObject *W,
gpuarray_blas_ops *blas_ops;
int err;
err = ctx->ops->property(ctx->ctx, NULL, NULL,
GA_CTX_PROP_BLAS_OPS, &blas_ops);
err = gpucontext_property(ctx->ctx, GA_CTX_PROP_BLAS_OPS, &blas_ops);
if (err != GA_NO_ERROR) {
PyErr_SetString(PyExc_RuntimeError, "Can't get blas ops");
return -1;
......
theano/gpuarray/blockger.c
浏览文件 @ e2fb6451
......@@ -15,8 +15,7 @@ int APPLY_SPECIFIC(blockger)(PyGpuArrayObject *o, PyGpuArrayObject *x,
gpuarray_blas_ops *blas_ops;
int err;
err = ctx->ops->property(ctx->ctx, NULL, NULL,
GA_CTX_PROP_BLAS_OPS, &blas_ops);
err = gpucontext_property(ctx->ctx, GA_CTX_PROP_BLAS_OPS, &blas_ops);
if (err != GA_NO_ERROR) {
PyErr_SetString(PyExc_RuntimeError, "Can't get blas ops");
return -1;
......
theano/gpuarray/dnn_fwd.c
浏览文件 @ e2fb6451
......@@ -105,7 +105,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
algo = choice.algo;
#else
size_t free;
int err2 = c->ops->property(c->ctx, NULL, NULL, GA_CTX_PROP_FREE_GMEM, &free);
int err2 = gpucontext_property(c->ctx, GA_CTX_PROP_FREE_GMEM, &free);
if (err2 != GA_NO_ERROR) {
PyErr_Format(PyExc_RuntimeError, "Error when trying to find the "
......@@ -234,7 +234,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
* to place a nice get_work_mem() function in.
*/
if (worksize != 0) {
workspace = c->ops->buffer_alloc(c->ctx, worksize, NULL, 0, NULL);
workspace = gpudata_alloc(c->ctx, worksize, NULL, 0, NULL);
if (workspace == NULL) {
PyErr_SetString(PyExc_RuntimeError,
"Could not allocate working memory");
......@@ -258,7 +258,7 @@ APPLY_SPECIFIC(conv_fwd)(PyGpuArrayObject *input, PyGpuArrayObject *kerns,
APPLY_SPECIFIC(output), PyGpuArray_DEV_DATA(*output));
if (worksize != 0)
c->ops->buffer_release(workspace);
gpudata_release(workspace);
cuda_record(input->ga.data, GPUARRAY_CUDA_WAIT_READ);
cuda_record(kerns->ga.data, GPUARRAY_CUDA_WAIT_READ);
......
theano/gpuarray/dnn_gi.c
浏览文件 @ e2fb6451
......@@ -106,7 +106,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
algo = choice.algo;
#else
size_t free;
int err2 = c->ops->property(c->ctx, NULL, NULL, GA_CTX_PROP_FREE_GMEM, &free);
int err2 = gpucontext_property(c->ctx, GA_CTX_PROP_FREE_GMEM, &free);
if (err2 != GA_NO_ERROR) {
PyErr_Format(PyExc_RuntimeError, "Error when trying to find the "
......@@ -204,7 +204,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
}
if (worksize != 0) {
workspace = c->ops->buffer_alloc(c->ctx, worksize, NULL, 0, NULL);
workspace = gpudata_alloc(c->ctx, worksize, NULL, 0, NULL);
if (workspace == NULL) {
PyErr_SetString(PyExc_RuntimeError,
"Could not allocate working memory");
......@@ -227,7 +227,7 @@ APPLY_SPECIFIC(conv_gi)(PyGpuArrayObject *kerns, PyGpuArrayObject *output,
APPLY_SPECIFIC(input), PyGpuArray_DEV_DATA(*input));
if (worksize != 0)
c->ops->buffer_release(workspace);
gpudata_release(workspace);
cuda_record(kerns->ga.data, GPUARRAY_CUDA_WAIT_READ);
cuda_record(output->ga.data, GPUARRAY_CUDA_WAIT_READ);
......
theano/gpuarray/dnn_gw.c
浏览文件 @ e2fb6451
......@@ -107,7 +107,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
algo = choice.algo;
#else
size_t free;
int err2 = c->ops->property(c->ctx, NULL, NULL, GA_CTX_PROP_FREE_GMEM, &free);
int err2 = gpucontext_property(c->ctx, GA_CTX_PROP_FREE_GMEM, &free);
if (err2 != GA_NO_ERROR) {
PyErr_Format(PyExc_RuntimeError, "Error when trying to find the "
......@@ -192,7 +192,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
}
if (worksize != 0) {
workspace = c->ops->buffer_alloc(c->ctx, worksize, NULL, 0, NULL);
workspace = gpudata_alloc(c->ctx, worksize, NULL, 0, NULL);
if (workspace == NULL) {
PyErr_SetString(PyExc_RuntimeError, "Could not allocate working memory");
cuda_exit(c->ctx);
......@@ -214,7 +214,7 @@ APPLY_SPECIFIC(conv_gw)(PyGpuArrayObject *input, PyGpuArrayObject *output,
APPLY_SPECIFIC(kerns), PyGpuArray_DEV_DATA(*kerns));
if (worksize != 0)
c->ops->buffer_release(workspace);
gpudata_release(workspace);
cuda_record(input->ga.data, GPUARRAY_CUDA_WAIT_READ);
cuda_record(output->ga.data, GPUARRAY_CUDA_WAIT_READ);
......
theano/gpuarray/extra_ops.py
浏览文件 @ e2fb6451
......@@ -249,17 +249,17 @@ class GpuCumsum(GpuKernelBase, Op):
size_t max_grid_size1;
size_t max_grid_size2;
int err;
err = %(ctx)s->ops->property(%(ctx)s->ctx, NULL, NULL, GA_CTX_PROP_MAXLSIZE0, &max_threads_dim0);
err = gpucontext_property(%(ctx)s->ctx, GA_CTX_PROP_MAXLSIZE0, &max_threads_dim0);
if (err != GA_NO_ERROR){
PyErr_SetString(PyExc_RuntimeError, "Could not fetch max_threads_dims0");
%(fail)s;
}
err = %(ctx)s->ops->property(%(ctx)s->ctx, NULL, NULL, GA_CTX_PROP_MAXGSIZE1, &max_grid_size1);
err = gpucontext_property(%(ctx)s->ctx, GA_CTX_PROP_MAXGSIZE1, &max_grid_size1);
if (err != GA_NO_ERROR){
PyErr_SetString(PyExc_RuntimeError, "Could not fetch max_grid_size1");
%(fail)s;
}
err = %(ctx)s->ops->property(%(ctx)s->ctx, NULL, NULL, GA_CTX_PROP_MAXGSIZE2, &max_grid_size2);
err = gpucontext_property(%(ctx)s->ctx, GA_CTX_PROP_MAXGSIZE2, &max_grid_size2);
if (err != GA_NO_ERROR){
PyErr_SetString(PyExc_RuntimeError, "Could not fetch max_grid_size2");
%(fail)s;
......
theano/gpuarray/gemm16.c
浏览文件 @ e2fb6451
......@@ -117,7 +117,7 @@ int gemm16(PyGpuArrayObject *C, float alpha,
if (48 < n128 && n128 <= 64) {
n64 = n / 64;
if (nprocs == 0)
if (A->ga.ops->property(A->context->ctx, NULL, NULL,
if (gpucontext_property(A->context->ctx,
GA_CTX_PROP_NUMPROCS, &nprocs)) {
nprocs = 0;
res = 1;
......
theano/gpuarray/subtensor.py
浏览文件 @ e2fb6451
......@@ -757,8 +757,8 @@ __device__ ga_half atomicAdd(ga_half *addr, ga_half val) {
int err, kerr = 0;
if (threads_per_block[0] > 0 && n_blocks[0] > 0) {
err = py_self->ga.ops->property(NULL, py_self->ga.data, NULL,
GA_CTX_PROP_ERRBUF, &errbuf);
err = gpudata_property(py_self->ga.data,
GA_CTX_PROP_ERRBUF, &errbuf);
if (err != GA_NO_ERROR) {
PyErr_SetString(PyExc_RuntimeError, "Can't fetch error buffer");
return 1;
......@@ -793,7 +793,7 @@ __device__ ga_half atomicAdd(ga_half *addr, ga_half val) {
GpuKernel_error(&%(k_var)s, err));
return 1;
}
err = py_self->ga.ops->buffer_read(&kerr, errbuf, 0, sizeof(int));
err = gpudata_read(&kerr, errbuf, 0, sizeof(int));
if (err != GA_NO_ERROR) {
PyErr_SetString(PyExc_RuntimeError, "Can't read error buffer");
return 1;
......@@ -801,7 +801,7 @@ __device__ ga_half atomicAdd(ga_half *addr, ga_half val) {
if (kerr != 0) {
PyErr_SetString(PyExc_IndexError, "Index out of bounds");
kerr = 0;
py_self->ga.ops->buffer_write(errbuf, 0, &kerr, sizeof(int));
gpudata_write(errbuf, 0, &kerr, sizeof(int));
return 1;
}
}
......
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