OSSForks/tensorflow
1
0
Fork 0
mirror of https://github.com/zebrajr/tensorflow.git synced 2025-12-06 12:20:11 +01:00
Code Issues Actions 5 Packages Projects Releases Wiki Activity

Validate that a and b are proper sparse tensors

Browse Source 
PiperOrigin-RevId: 373274848
Change-Id: I3a665ac3a29dee9fb69bdf408a939330cb93ea75
This commit is contained in:
Mihai Maruseac 2021-05-11 18:32:03 -07:00
parent 8cdcd10f87
commit 0f1b241505
1 changed files with 9 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
tensorflow/core/kernels/sparse_sparse_binary_op_shared.cc
View File

@ -150,6 +150,7 @@ class SparseSparseBinaryOpShared : public OpKernel {
const int64 a_nnz = a_indices_t->dim_size(0);
const int64 b_nnz = b_indices_t->dim_size(0);
const auto a_values = a_values_t->vec<T>();
const auto b_values = b_values_t->vec<T>();
@ -166,6 +167,14 @@ class SparseSparseBinaryOpShared : public OpKernel {
"Input shapes should be a vector but received shapes ",
a_shape_t->shape().DebugString(), " and ",
b_shape_t->shape().DebugString()));
const int num_dims = a_indices_t->dim_size(1);
OP_REQUIRES(
ctx, a_shape_t->NumElements() == num_dims,
errors::InvalidArgument("Second dimension of a_indices and length of "
"a_shape must match, got ",
num_dims, " and ", a_shape_t->NumElements()));
OP_REQUIRES(ctx, num_dims > 0,
errors::InvalidArgument("Tensors must not be empty"));
OP_REQUIRES(ctx, a_shape_t->IsSameSize(*b_shape_t),
errors::InvalidArgument(
"Operands do not have the same ranks; got shapes: ",
@ -180,12 +189,6 @@ class SparseSparseBinaryOpShared : public OpKernel {
" for dimension ", i));
}
OP_REQUIRES(
ctx, a_indices_t->dim_size(1) == b_indices_t->dim_size(1),
errors::InvalidArgument(
"Indices' dimensions do not match: got ", a_indices_t->dim_size(1),
" and ", b_indices_t->dim_size(1), " for the second dimension."));
const int num_dims = a_indices_t->dim_size(1);
const auto a_indices_mat = a_indices_t->matrix<int64>();
const auto b_indices_mat = b_indices_t->matrix<int64>();
std::vector<T> a_augmented_values, b_augmented_values;