BhushanIMG commented on a change in pull request #6477:
URL: https://github.com/apache/incubator-tvm/pull/6477#discussion_r513479696
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File path: include/tvm/topi/nn.h
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@@ -459,6 +460,178 @@ inline tvm::te::Tensor group_conv2d_ngchw(const
tvm::te::Tensor& I, const tvm::t
return tvm::te::compute(output_shape, l, name, tag);
}
+/*!
+ * \brief Divide spatial dimensions of the input into a grid of blocks.
+ *
+ * \param data The input tensor.
+ * \param block_shape The size of the spatial block.
+ * \param pad_before The zero-padding size before each spatial dimension.
+ * \param pad_after The zero-padding size after each spatial dimension.
+ * \param name The name of the operation.
+ * \param tag The tag to mark the operation.
+ *
+ * \return A Tensor whose op member is the space_to_batch_nd operation
+ */
+inline tvm::te::Tensor space_to_batch_nd(const tvm::te::Tensor& data,
+ const tvm::Array<Integer>&
block_shape,
+ const tvm::Array<tvm::PrimExpr>&
pad_before,
+ const tvm::Array<tvm::PrimExpr>&
pad_after,
+ std::string name =
"space_to_batch_nd",
+ std::string tag = kInjective) {
+ tvm::te::Tensor padded_t;
+ CHECK_EQ(pad_before.size(), pad_after.size());
+ CHECK_EQ(block_shape.size(), pad_before.size())
+ << "Paddings must be provided for each spatial dimension";
+ tvm::Array<tvm::PrimExpr> pad_before_int32;
+ tvm::Array<tvm::PrimExpr> pad_after_int32;
+
+ // pad size for batch dimension is 0
+ pad_before_int32.push_back(tvm::cast(tvm::DataType::Int(32), 0));
+ pad_after_int32.push_back(tvm::cast(tvm::DataType::Int(32), 0));
+ // insert pad sizes given for spatial dimensions
+ for (const auto& ele : pad_before) {
+ pad_before_int32.push_back(tvm::cast(tvm::DataType::Int(32), ele));
+ }
+ for (const auto& ele : pad_after) {
+ pad_after_int32.push_back(tvm::cast(tvm::DataType::Int(32), ele));
+ }
+
+ // pad the input with paddings provided
+ padded_t = pad(data, pad_before_int32, pad_after_int32,
make_const(DataType::Int(32), 0));
Review comment:
@FrozenGene Added `pad_value ` parameter to space_to_batch_nd operator
with default value 0.
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