experiments/STT-tensorflow
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SpaceToDepth converted to new style.

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PiperOrigin-RevId: 316775897
Change-Id: I2715cadbf112dffc93b2b45570d2220444af31a4
This commit is contained in:
Raman Sarokin 2020-06-16 16:02:34 -07:00 committed by TensorFlower Gardener
parent 6b126156d9
commit a6945b9b0f
1 changed files with 41 additions and 35 deletions
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76
tensorflow/lite/delegates/gpu/cl/kernels/space_to_depth.cc
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@ -27,28 +27,33 @@ namespace gpu {
namespace cl {
namespace {
std::string GetSpaceToDepthCode(
const OperationDef& op_def,
const std::vector<ElementwiseOperation*>& linked_operations) {
TensorCodeGenerator src_tensor(
"src_data", WHSPoint{"src_size.x", "src_size.y", "src_size.z"},
op_def.src_tensors[0]);
TensorCodeGenerator dst_tensor(
"dst_data", WHSPoint{"dst_size.x", "dst_size.y", "dst_size.z"},
op_def.dst_tensors[0]);
std::string GetSpaceToDepthCode(const OperationDef& op_def, Arguments* args) {
args->AddObjectRef(
"src_tensor", AccessType::READ,
absl::make_unique<TensorDescriptor>(op_def.src_tensors[0]));
args->AddObjectRef(
"dst_tensor", AccessType::WRITE,
absl::make_unique<TensorDescriptor>(op_def.dst_tensors[0]));
args->AddInt("block_size");
std::string c = GetCommonDefines(op_def.precision);
c += "__kernel void main_function(\n";
c += src_tensor.GetDeclaration(AccessType::READ);
c += GetArgsDeclaration(linked_operations);
c += dst_tensor.GetDeclaration(AccessType::WRITE) + ",\n";
c += " int4 src_size,\n";
c += " int4 dst_size,\n";
c += " int src_channels,\n";
c += " int block_size) {\n";
c += " int X = get_global_id(0);\n";
c += "$0) {\n";
if (op_def.IsBatchSupported()) {
c += " int linear_id = get_global_id(0);\n";
c += " int X = linear_id / args.dst_tensor.Batch();\n";
c += " int B = linear_id % args.dst_tensor.Batch();\n";
c += " args.dst_tensor.SetBatchRef(B);\n";
c += " args.src_tensor.SetBatchRef(B);\n";
} else {
c += " int X = get_global_id(0);\n";
}
c += " int Y = get_global_id(1);\n";
c += " int Z = get_global_id(2);\n";
c += " if (X >= dst_size.x || Y >= dst_size.y || Z >= dst_size.z) return;\n";
c += " if (X >= args.dst_tensor.Width() || Y >= args.dst_tensor.Height() || "
"Z >= args.dst_tensor.Slices()) { \n";
c += " return; \n";
c += " } \n";
c += " FLT tmp[4];\n";
c += " tmp[0] = (FLT)(0.0f);\n";
c += " tmp[1] = (FLT)(0.0f);\n";
@ -56,19 +61,17 @@ std::string GetSpaceToDepthCode(
c += " tmp[3] = (FLT)(0.0f);\n";
c += " for (int i = 0; i < 4; ++i) {\n";
c += " int dst_c = 4 * Z + i;\n";
c += " int block_id = dst_c / src_channels;\n";
c += " int src_x = X * block_size + block_id % block_size;\n";
c += " int src_y = Y * block_size + block_id / block_size;\n";
c += " int src_c = dst_c % src_channels;\n";
c += " int block_id = dst_c / args.src_tensor.Channels();\n";
c += " int src_x = X * args.block_size + block_id % args.block_size;\n";
c += " int src_y = Y * args.block_size + block_id / args.block_size;\n";
c += " int src_c = dst_c % args.src_tensor.Channels();\n";
c += " int src_z = src_c / 4;\n";
c += " FLT4 t = " + src_tensor.ReadWHS("src_x", "src_y", "src_z") + ";\n";
c += " FLT4 t = args.src_tensor.Read(src_x, src_y, src_z);\n";
c += " FLT t_ar[4] = {t.x, t.y, t.z, t.w};\n";
c += " tmp[i] = t_ar[src_c % 4];\n";
c += " }\n";
c += " FLT4 result = (FLT4)(tmp[0], tmp[1], tmp[2], tmp[3]);\n";
const LinkingContext context{"result", "X", "Y", "Z"};
c += PostProcess(linked_operations, context);
c += " " + dst_tensor.WriteWHS("result", "X", "Y", "Z");
c += " args.dst_tensor.Write(result, X, Y, Z);\n";
c += "}\n";
return c;
}
@ -92,21 +95,24 @@ SpaceToDepth& SpaceToDepth::operator=(SpaceToDepth&& operation) {
}
absl::Status SpaceToDepth::Compile(const CreationContext& creation_context) {
const auto code = GetSpaceToDepthCode(definition_, linked_operations_);
std::string code = GetSpaceToDepthCode(definition_, &args_);
std::string element_wise_code;
RETURN_IF_ERROR(
MergeOperations(linked_operations_, &args_, &element_wise_code));
RETURN_IF_ERROR(args_.TransformToCLCode(creation_context.device->GetInfo(),
{{"dst_tensor", element_wise_code}},
&code));
return creation_context.cache->GetOrCreateCLKernel(
code, "main_function", *creation_context.context,
*creation_context.device, &kernel_);
}
absl::Status SpaceToDepth::BindArguments() {
kernel_.ResetBindingCounter();
RETURN_IF_ERROR(kernel_.SetMemoryAuto(src_[0]->GetMemoryPtr()));
RETURN_IF_ERROR(BindArgs(&kernel_, linked_operations_));
RETURN_IF_ERROR(kernel_.SetMemoryAuto(dst_[0]->GetMemoryPtrForWriting()));
RETURN_IF_ERROR(kernel_.SetBytesAuto(src_[0]->GetWHSB()));
RETURN_IF_ERROR(kernel_.SetBytesAuto(dst_[0]->GetWHSB()));
RETURN_IF_ERROR(kernel_.SetBytesAuto(src_[0]->Channels()));
return kernel_.SetBytesAuto(attr_.block_size);
RETURN_IF_ERROR(args_.SetObjectRef("src_tensor", src_[0]));
RETURN_IF_ERROR(args_.SetObjectRef("dst_tensor", dst_[0]));
RETURN_IF_ERROR(args_.SetInt("block_size", attr_.block_size));
RETURN_IF_ERROR(SetArguments(linked_operations_, &args_));
return args_.Bind(kernel_.kernel());
}
int3 SpaceToDepth::GetGridSize() const {