diff options
Diffstat (limited to 'reference_model/src/ops/tensor_ops.cc')
| -rw-r--r-- | reference_model/src/ops/tensor_ops.cc | 36 |
1 files changed, 18 insertions, 18 deletions
diff --git a/reference_model/src/ops/tensor_ops.cc b/reference_model/src/ops/tensor_ops.cc index 94f4c72..aef1ad2 100644 --- a/reference_model/src/ops/tensor_ops.cc +++ b/reference_model/src/ops/tensor_ops.cc @@ -1523,9 +1523,9 @@ int OpTransposeConv2d<InDtype, WeightDtype>::checkTensorAttributes() bias = dynamic_cast<TosaReference::TensorTemplate<TBias>*>(inputs[2]); output = dynamic_cast<TosaReference::TensorTemplate<TAcc>*>(outputs[0]); - if (attribute->outpad().size() != 4) + if (attribute->out_pad().size() != 4) { - printNodeValidationError("OpTransposeConv2d: illegal size for attribute outpad"); + printNodeValidationError("OpTransposeConv2d: illegal size for attribute out_pad"); return 1; } @@ -1541,7 +1541,7 @@ int OpTransposeConv2d<InDtype, WeightDtype>::checkTensorAttributes() return 1; } - for (int32_t i : attribute->outpad()) + for (int32_t i : attribute->out_pad()) { if (i < 0) { @@ -1578,13 +1578,13 @@ int OpTransposeConv2d<InDtype, WeightDtype>::checkTensorAttributes() int32_t kernel_h = weight->getShape()[1]; int32_t kernel_w = weight->getShape()[2]; - int32_t outpad_top = attribute->outpad()[0]; - int32_t outpad_bottom = attribute->outpad()[1]; - int32_t outpad_left = attribute->outpad()[2]; - int32_t outpad_right = attribute->outpad()[3]; + int32_t out_pad_top = attribute->out_pad()[0]; + int32_t out_pad_bottom = attribute->out_pad()[1]; + int32_t out_pad_left = attribute->out_pad()[2]; + int32_t out_pad_right = attribute->out_pad()[3]; - int32_t H = (IH - 1) * stride_y - outpad_top - outpad_bottom + kernel_h; - int32_t W = (IW - 1) * stride_x - outpad_left - outpad_right + kernel_w; + int32_t H = (IH - 1) * stride_y - out_pad_top - out_pad_bottom + kernel_h; + int32_t W = (IW - 1) * stride_x - out_pad_left - out_pad_right + kernel_w; if ((OH != H) || (OW != W)) { @@ -1630,10 +1630,10 @@ int OpTransposeConv2d<InDtype, WeightDtype>::eval() int out_width = this->output->getShape()[2]; int out_channels = this->output->getShape()[3]; - int outpad_top = this->attribute->outpad()[0]; - int outpad_bottom = this->attribute->outpad()[1]; - int outpad_left = this->attribute->outpad()[2]; - int outpad_right = this->attribute->outpad()[3]; + int out_pad_top = this->attribute->out_pad()[0]; + int out_pad_bottom = this->attribute->out_pad()[1]; + int out_pad_left = this->attribute->out_pad()[2]; + int out_pad_right = this->attribute->out_pad()[3]; int stride_h = this->attribute->stride()[0]; int stride_w = this->attribute->stride()[1]; @@ -1648,10 +1648,10 @@ int OpTransposeConv2d<InDtype, WeightDtype>::eval() DEBUG_INFO(OP, "perform OpTransposeConv2d, input.shape=[%d,%d,%d,%d], weight.shape=[%d,%d,%d,%d], " - "output.shape=[%d,%d,%d,%d], stride=[%d,%d], outpad=[%d,%d,%d,%d]", + "output.shape=[%d,%d,%d,%d], stride=[%d,%d], out_pad=[%d,%d,%d,%d]", in_batch, in_height, in_width, in_channels, f_height, f_width, f_out_channels, f_in_channels, - out_batch, out_height, out_width, out_channels, stride_h, stride_w, outpad_top, - outpad_bottom, outpad_left, outpad_right); + out_batch, out_height, out_width, out_channels, stride_h, stride_w, out_pad_top, + out_pad_bottom, out_pad_left, out_pad_right); TIn input_val = this->input->getTensor(); TWeight weight_val = this->weight->getTensor(); @@ -1684,8 +1684,8 @@ int OpTransposeConv2d<InDtype, WeightDtype>::eval() { for (int iw = 0; iw < in_width; iw++) { - out_x_origin = iw * stride_w - outpad_left; - out_y_origin = ih * stride_h - outpad_top; + out_x_origin = iw * stride_w - out_pad_left; + out_y_origin = ih * stride_h - out_pad_top; for (int ic = 0; ic < in_channels; ic++) { for (int fh = 0; fh < f_height; fh++) |