delldu commented on a change in pull request #8443:
URL: https://github.com/apache/tvm/pull/8443#discussion_r670267862
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File path: src/relay/op/nn/pad.cc
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@@ -272,5 +272,86 @@ RELAY_REGISTER_OP("nn.mirror_pad")
.add_type_rel("MirrorPad", MirrorPadRel)
.set_attr<TOpPattern>("TOpPattern", kInjective);
+Array<te::Tensor> Im2colCompute(const Attrs& attrs, const Array<te::Tensor>&
inputs,
+ const Type& out_type) {
+ const auto* param = attrs.as<Im2colAttrs>();
+ ICHECK(param != nullptr);
+
+ return Array<te::Tensor>{
+ topi::im2col(inputs[0], param->kernel_size, param->dilation,
param->padding, param->stride)};
+}
+
+bool Im2colRel(const Array<Type>& types, int num_inputs, const Attrs& attrs,
+ const TypeReporter& reporter) {
+ // types: [input, output]
+ ICHECK_EQ(types.size(), 2) << "Expects two types, one for the input and
another for the output";
+
+ const auto* input = types[0].as<TensorTypeNode>();
+ if (input == nullptr) return false;
+
+ if (input->shape.size() != 4) {
+ reporter->GetDiagCtx().EmitFatal(Diagnostic::Error(reporter->GetSpan())
+ << "Im2lossRel: input data should be 4
dimensions, NxCxHxW.");
+ return false;
+ }
+
+ const Im2colAttrs* param = attrs.as<Im2colAttrs>();
+ if (param == nullptr) return false;
+
+ // Calculate output shape
+ auto kernel_h = tvm::cast(tvm::DataType::Int(32), param->kernel_size[0]);
+ auto kernel_w = tvm::cast(tvm::DataType::Int(32), param->kernel_size[1]);
+ auto dilation_h = tvm::cast(tvm::DataType::Int(32), param->dilation[0]);
+ auto dilation_w = tvm::cast(tvm::DataType::Int(32), param->dilation[1]);
+ auto padding_h = tvm::cast(tvm::DataType::Int(32), param->padding[0]);
+ auto padding_w = tvm::cast(tvm::DataType::Int(32), param->padding[1]);
+ auto stride_h = tvm::cast(tvm::DataType::Int(32), param->stride[0]);
+ auto stride_w = tvm::cast(tvm::DataType::Int(32), param->stride[1]);
Review comment:
Just copy from PadCompute.
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