diff options
Diffstat (limited to 'src/runtime/NEON/functions')
| -rw-r--r-- | src/runtime/NEON/functions/NEFullyConnectedLayer.cpp | 6 | ||||
| -rw-r--r-- | src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp | 4 |
2 files changed, 5 insertions, 5 deletions
diff --git a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp index 25b8adc431..c2f0283d4e 100644 --- a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp +++ b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp @@ -113,7 +113,7 @@ void NEFullyConnectedLayer::configure_conv_fc(const ITensor *input, const ITenso // If the fully connected layer is called after a convolution layer, the input tensor must be linearized // Initialize output tensor for im2col - TensorShape shape_im2col = compute_im2col_fc_shape(input->info()); + TensorShape shape_im2col = compute_flatten_shape(input->info()); _im2col_output.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(shape_im2col)); // Configure im2col kernel @@ -249,7 +249,7 @@ Status NEFullyConnectedLayer::validate(const ITensorInfo *input, const ITensorIn bool is_fc_after_conv = true; bool is_quantized = is_data_type_quantized_asymmetric(input->data_type()); - const ITensorInfo &im2col_input = TensorInfo(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_im2col_fc_shape(input))); + const ITensorInfo &im2col_input = TensorInfo(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_flatten_shape(input))); const ITensorInfo &reshaped_weights = TensorInfo(weights->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_transposed_shape(*weights))); const ITensorInfo &converted_weights = weights_reshaped ? TensorInfo(weights->clone()->set_is_resizable(true).reset_padding()) : TensorInfo(*reshaped_weights.clone()); const ITensorInfo &gemmlowp_output = TensorInfo(output->clone()->set_is_resizable(true).reset_padding().set_data_type(DataType::S32)); @@ -420,4 +420,4 @@ void NEFullyConnectedLayer::prepare() _is_prepared = true; } -} +}
\ No newline at end of file diff --git a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp index c0a5d0a436..df4a040bad 100644 --- a/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEGEMMConvolutionLayer.cpp @@ -223,7 +223,7 @@ void NEGEMMConvolutionLayer::configure(const ITensor *input, const ITensor *weig { // Calculate im2col shape // For NEON the batch size is on the fourth dimension - // TODO (giaiod01): Use auto-init COMPMID-1277 + // TODO (giaiod01): Auto-initialize the output shape of im2col COMPMID-1482 TensorShape shape_im2col = input->info()->tensor_shape(); shape_im2col.set(0, mat_weights_rows); shape_im2col.set(1, conv_w * conv_h); @@ -232,7 +232,7 @@ void NEGEMMConvolutionLayer::configure(const ITensor *input, const ITensor *weig _im2col_output.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(shape_im2col)); _memory_group.manage(&_im2col_output); - // Configure and tune im2col + // Configure _im2col_kernel.configure(input, &_im2col_output, Size2D(kernel_width, kernel_height), conv_info, _append_bias, false, false, dilation); // Update GEMM input |