Lines Matching refs:RET_ERROR
5462 return RET_ERROR;
5475 return RET_ERROR;
5488 return RET_ERROR;
5502 return RET_ERROR;
5617 - return RET_ERROR;
5644 - return RET_ERROR;
5655 - return RET_ERROR;
5666 - return RET_ERROR;
5683 - return RET_ERROR;
5695 - return RET_ERROR;
5704 - return RET_ERROR;
5716 - return RET_ERROR;
5729 - return RET_ERROR;
5742 - return RET_ERROR;
5749 - return RET_ERROR;
5758 - return RET_ERROR;
5770 - return RET_ERROR;
5779 - return RET_ERROR;
5786 - return RET_ERROR;
5812 - return RET_ERROR;
5820 - return RET_ERROR;
5827 - return RET_ERROR;
5834 - return RET_ERROR;
5847 - return RET_ERROR;
5854 - return RET_ERROR;
5862 - return RET_ERROR;
5870 - return RET_ERROR;
5878 - return RET_ERROR;
5886 - return RET_ERROR;
5894 - return RET_ERROR;
5924 - return RET_ERROR;
5971 +using mindspore::lite::RET_ERROR;
6007 + return RET_ERROR;
6047 + return RET_ERROR;
6104 + return RET_ERROR;
6111 + return RET_ERROR;
6118 + return RET_ERROR;
6145 + return RET_ERROR;
6153 + return RET_ERROR;
6165 + return RET_ERROR;
6173 + return RET_ERROR;
6182 + return RET_ERROR;
6191 + return RET_ERROR;
6200 + return RET_ERROR;
6424 +using mindspore::lite::RET_ERROR;
6464 + return RET_ERROR;
6485 + return RET_ERROR;
6513 + return RET_ERROR;
6522 + return RET_ERROR;
6544 + return RET_ERROR;
6555 + MS_CHECK_TRUE_MSG(shape.size() == C3NUM, lite::RET_ERROR, "Project-weight's shape must be 3D.");
6561 + return RET_ERROR;
6578 + return RET_ERROR;
6587 + return RET_ERROR;
6752 - return RET_ERROR;
6774 - return RET_ERROR;
6825 - return RET_ERROR;
6838 - return RET_ERROR;
6858 - return RET_ERROR;
6890 - return RET_ERROR;
6897 - return RET_ERROR;
6905 - return RET_ERROR;
6917 - return RET_ERROR;
6989 - MS_CHECK_FALSE(input_thread_count_ == 0, RET_ERROR);
7032 - return RET_ERROR;
7117 - MS_CHECK_TRUE_MSG(whole_memory != nullptr, RET_ERROR, "LSTM: malloc failed.");
7163 - return RET_ERROR;
7173 - return RET_ERROR;
7280 - return RET_ERROR;
7292 - return RET_ERROR;
7303 - return RET_ERROR;
7310 - return RET_ERROR;
7345 - return RET_ERROR;
7352 - return RET_ERROR;
7361 - return RET_ERROR;
7368 - return RET_ERROR;
7424 +using mindspore::lite::RET_ERROR;
7543 + return RET_ERROR;
7550 + return RET_ERROR;
7557 + return RET_ERROR;
7564 + return RET_ERROR;
7659 + MS_CHECK_TRUE_MSG(whole_memory != nullptr, RET_ERROR, "LSTM: malloc failed.");
7684 + return RET_ERROR;
7691 + return RET_ERROR;
7704 + return RET_ERROR;
7716 + return RET_ERROR;
7728 + MS_CHECK_FALSE(thread_num == 0, RET_ERROR);
7752 + return RET_ERROR;
7767 + return RET_ERROR;
7927 …S_CHECK_INT_MUL_NOT_OVERFLOW(lstm_param_->hidden_size_, lstm_param_->input_size_, lite::RET_ERROR);
7929 + MS_CHECK_INT_MUL_NOT_OVERFLOW(weight_segment_num_, hi_unit_size, lite::RET_ERROR);
7931 …_CHECK_INT_MUL_NOT_OVERFLOW(lstm_param_->hidden_size_, lstm_param_->output_size_, lite::RET_ERROR);
7933 + MS_CHECK_INT_MUL_NOT_OVERFLOW(weight_segment_num_, hh_unit_size, lite::RET_ERROR);
7936 …CHECK_INT_MUL_NOT_OVERFLOW(lstm_param_->hidden_size_, lstm_param_->project_size_, lite::RET_ERROR);
7938 + MS_CHECK_INT_MUL_NOT_OVERFLOW(scale, hp_unit_size, lite::RET_ERROR);
7940 …HECK_INT_MUL_NOT_OVERFLOW(weight_segment_num_ * C2NUM, lstm_param_->hidden_size_, lite::RET_ERROR);
8347 + MS_CHECK_TRUE_MSG(shape.size() == C3NUM, lite::RET_ERROR, "Project-weight's shape must be 3D.");
8353 + return lite::RET_ERROR;
8499 +using mindspore::lite::RET_ERROR;
8547 + return RET_ERROR;
8570 + return RET_ERROR;
8735 + return RET_ERROR;
8739 + MS_CHECK_TRUE_RET(matmul_bias_shape == add_weight_shape, RET_ERROR);
8763 + return RET_ERROR;
8925 + return RET_ERROR;
8929 + return RET_ERROR;
9151 return RET_ERROR;
9192 return RET_ERROR;
9235 return RET_ERROR;
9238 + MS_CHECK_TRUE_MSG(CompileConstFoldedKernels() == RET_OK, RET_ERROR, "CompileConstFoldedKernels f…
9356 MS_CHECK_FALSE_MSG(format != FT_FLATBUFFERS, RET_ERROR, "File name cannot be empty");
9357 MS_CHECK_FALSE_MSG(model_type != mindspore::lite::MT_INFERENCE, RET_ERROR,
9437 return RET_ERROR;
10020 ReturnCode::GetSingleReturnCode()->UpdateReturnCode(RET_ERROR);
10021 return RET_ERROR;
10027 + ReturnCode::GetSingleReturnCode()->UpdateReturnCode(RET_ERROR);
10028 + return RET_ERROR;
10389 + MS_CHECK_TRUE_MSG(ParseMicroDynamicShape(graph, param) == RET_OK, RET_ERROR, "ParseMicroDynami…
10393 return RET_ERROR;
10412 + MS_CHECK_TRUE_MSG(ParseMicroDynamicShape(*model, param) == RET_OK, RET_ERROR, "ParseMicroDynam…
10614 + MS_CHECK_TRUE_MSG(!var_tensor_shapes.empty(), RET_ERROR, "Cannot get var-tensor's shape-info");
10618 + MS_CHECK_TRUE_MSG(item.second.size() == scene_num, RET_ERROR, "Shape-info is invalid.");
10635 + return RET_ERROR;
10641 + return RET_ERROR;
10651 + MS_CHECK_TRUE_MSG(offsets.size() == offset_index_.size(), RET_ERROR, "Tensors num is not same.…
10653 + MS_CHECK_TRUE_MSG(offset_index_.find(item.first) != offset_index_.end(), RET_ERROR, "Tensor …
11502 - " return RET_ERROR;\n"
12628 " RET_ERROR = 1,\n"
12852 + RET_ERROR, "The data-type of Reshape's second input must be int.");
12876 + MS_CHECK_TRUE_MSG(!input_data.empty(), RET_ERROR, "pointer is not allocated by the allocator");
12878 + MS_CHECK_TRUE_MSG(!output_data.empty(), RET_ERROR, "pointer is not allocated by the allocator");
13043 + return RET_ERROR;
13077 + return RET_ERROR;
13579 + MS_CHECK_TRUE_MSG(!input_data_.empty(), RET_ERROR, "pointer is not allocated by the allocator");
13581 + MS_CHECK_TRUE_MSG(!output_data_.empty(), RET_ERROR, "pointer is not allocated by the allocator");
13615 + return RET_ERROR;
13755 + return RET_ERROR;
13814 + MS_CHECK_TRUE_MSG(!dim_nums.empty(), RET_ERROR, "Dynamic shape's num must be greater than …
13829 + MS_CHECK_TRUE_MSG(!temp.empty(), RET_ERROR, "Arithmetic cannot alloc workspace.");
13953 + return RET_ERROR;
14380 + return RET_ERROR;
14385 + return RET_ERROR;
14598 + return RET_ERROR;
14693 + MS_CHECK_TRUE_MSG(!dim_nums.empty(), RET_ERROR, "Dynamic shape's num must be greater than 0.");
14698 + MS_CHECK_TRUE_MSG(!pack_input_str_.empty(), RET_ERROR, "Convolution cannot alloc workspace.");
14716 + MS_CHECK_TRUE_RET(input_channel > 0 && output_channel > 0, RET_ERROR);
14945 + MS_CHECK_TRUE_MSG(!dim_nums.empty(), RET_ERROR, "Dynamic shape's num must be greater than 0.");
14950 + MS_CHECK_TRUE_MSG(!packed_input_str_.empty(), RET_ERROR, "Convolution cannot alloc workspace."…
14966 + MS_CHECK_TRUE_RET(in_channel > 0 && out_channel > 0, RET_ERROR);
15212 + RET_ERROR, "Lstm cannot get addr.");
15425 + MS_CHECK_TRUE_MSG(!seq_lens.empty(), RET_ERROR, "Lstm cannot get seq_len");
15427 + MS_CHECK_TRUE_MSG(!batches.empty(), RET_ERROR, "Lstm cannot get batch");
15448 + MS_CHECK_TRUE_MSG(!buffers_start_.empty(), RET_ERROR, "Lstm cannot alloc workspace.");
15605 + MS_CHECK_TRUE_MSG(ret == RET_OK, RET_ERROR, "init A-metrics' info failed");
15607 + MS_CHECK_TRUE_MSG(ret == RET_OK, RET_ERROR, "init B-metrics' info failed");
15622 + MS_CHECK_TRUE_MSG(!input_a_str.empty(), RET_ERROR, "Matmul cannot get matrixA");
15624 + MS_CHECK_TRUE_MSG(!output_str.empty(), RET_ERROR, "Matmul cannot get output");
15745 + MS_CHECK_TRUE_MSG(!dim_nums.empty(), RET_ERROR, "Dynamic shape's num must be greater than 0.");
15760 + MS_CHECK_INT_MUL_NOT_OVERFLOW(a_batch, real_shape[j], RET_ERROR);
15774 + MS_CHECK_TRUE_MSG(!buffer_start_.empty(), RET_ERROR, "Matmul cannot alloc workspace.");
16154 + return lite::RET_ERROR;
16263 + return RET_ERROR;
16307 + return RET_ERROR;
16328 + return RET_ERROR;
16338 + return RET_ERROR;
16480 …S_CHECK_TRUE_MSG(data_shape_.size() == static_cast<size_t>(begin_tensor->ElementsNum()), RET_ERROR,
16482 …MS_CHECK_TRUE_MSG(data_shape_.size() == static_cast<size_t>(size_tensor->ElementsNum()), RET_ERROR,
16491 + return RET_ERROR;
16732 + MS_CHECK_TRUE_MSG(!dim_nums.empty(), RET_ERROR, "Dynamic shape's num must be greater than 0.");
16747 + MS_CHECK_INT_MUL_NOT_OVERFLOW(out_plane_size, real_shape[j], RET_ERROR);
16752 + MS_CHECK_INT_MUL_NOT_OVERFLOW(in_plane_size, real_shape[j], RET_ERROR);
16757 + MS_CHECK_TRUE_MSG(!buffer_start_.empty(), RET_ERROR, "Softmax cannot alloc workspace.");
17002 + MS_CHECK_TRUE_MSG(!input_data_.empty(), RET_ERROR, "pointer is not allocated by the allocator");
17004 + MS_CHECK_TRUE_MSG(!output_data_.empty(), RET_ERROR, "pointer is not allocated by the allocator");
17021 + MS_CHECK_TRUE_MSG(ret == RET_OK, RET_ERROR, "Preprocess failed");
17060 + return RET_ERROR;
17168 + MS_CHECK_TRUE_MSG(input_tensors_.size() == C3NUM, RET_ERROR, "Gather's input-num must be 3.");
17173 + RET_ERROR, "The data-type of Gather's third input must be int.");
17223 + MS_CHECK_TRUE_MSG(!input0_data.empty(), RET_ERROR, "pointer is not allocated by the allocator");
17225 + MS_CHECK_TRUE_MSG(!input1_data.empty(), RET_ERROR, "pointer is not allocated by the allocator");
17227 + MS_CHECK_TRUE_MSG(!output_data.empty(), RET_ERROR, "pointer is not allocated by the allocator");
17348 + return RET_ERROR;
17353 + return RET_ERROR;
17552 + return RET_ERROR;
17570 + return RET_ERROR;
17578 + return RET_ERROR;
17581 + MS_CHECK_TRUE_MSG(param_->num_axes_ <= MAX_TRANSPOSE_DIM_SIZE, RET_ERROR, "transpose perm is inv…
17782 return RET_ERROR;
18160 + MS_CHECK_TRUE_MSG(inputs.size() == graph_inputs_shape_infos.size(), RET_ERROR,
18219 + MS_CHECK_TRUE_MSG(!graph_inputs.empty(), RET_ERROR, "Cannot get graph_inputs's shape-info");
18223 + MS_CHECK_TRUE_MSG(item.second.size() == scene_num, RET_ERROR, "Graph inputs are invalid.");
18269 + MS_CHECK_TRUE_MSG(!shapes.empty(), RET_ERROR, "Cannot get some tensor's shape.");
18274 + MS_CHECK_TRUE_MSG(is_same_dim, RET_ERROR, "Tensor's shape-dims-num are not same.");
18517 return RET_ERROR;
18523 return RET_ERROR;