experiments/STT-tensorflow
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Support OpenCL 1.1 properly by forcing buffer usage in kernels that don't check .SupportsImageBuffer()

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This commit is contained in:
Oskar Flordal 2020-12-23 13:12:30 +00:00
parent d7b24ab06f
commit 2332f90301
3 changed files with 3 additions and 3 deletions
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2
tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv.cc
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@ -236,7 +236,7 @@ std::string GenerateDepthwiseConvolutionCode(
GPUOperation CreateDepthwiseConvolution2D(
const GpuInfo& gpu_info, const OperationDef& definition,
const DepthwiseConvolution2DAttributes& attr) {
bool weights_are_buffer = gpu_info.IsMali();
bool weights_are_buffer = !gpu_info.SupportsImageBuffer() || gpu_info.IsMali();
GPUOperation op(definition);
op.args_.AddInt("kernel_size_x", attr.weights.shape.w);
op.args_.AddInt("stride_x", attr.strides.w);

2
tensorflow/lite/delegates/gpu/common/tasks/depthwise_conv_3x3.cc
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@ -312,7 +312,7 @@ bool IsDepthwiseConv3x3Supported(const DepthwiseConvolution2DAttributes& attr) {
DepthwiseConv3x3 CreateDepthwiseConv3x3(
const GpuInfo& gpu_info, const OperationDef& definition,
const DepthwiseConvolution2DAttributes& attr) {
bool weights_are_buffer = gpu_info.IsPowerVR() || gpu_info.IsMali();
bool weights_are_buffer = !gpu_info.SupportsImageBuffer() || gpu_info.IsPowerVR() || gpu_info.IsMali();
bool local_mem_uploads = weights_are_buffer && gpu_info.IsPowerVR();
DepthwiseConv3x3 result(definition, weights_are_buffer, local_mem_uploads,
gpu_info);

2
tensorflow/lite/delegates/gpu/common/tasks/fully_connected.cc
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@ -155,7 +155,7 @@ FullyConnected CreateFullyConnected(const GpuInfo& gpu_info,
result.UploadWeights(attr.weights, UseBufferForWeights(gpu_info));
TensorLinearDescriptor desc;
desc.storage_type = LinearStorageType::TEXTURE_2D;
desc.storage_type = gpu_info.SupportsImageBuffer() ? LinearStorageType::TEXTURE_2D : LinearStorageType::BUFFER;
desc.element_type = definition.GetDataType();
desc.UploadLinearData(attr.bias);
result.args_.AddObject(