experiments/STT-tensorflow
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Removed unused code.

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PiperOrigin-RevId: 322819694
Change-Id: I1884a4c3af356f34ecefa5249079a8cff1f65b80
This commit is contained in:
Raman Sarokin 2020-07-23 10:52:15 -07:00 committed by TensorFlower Gardener
parent 84dcaf3aef
commit 0f0e85d768
3 changed files with 0 additions and 59 deletions
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39
tensorflow/lite/delegates/gpu/cl/kernels/util.cc
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@ -28,39 +28,6 @@ limitations under the License.
namespace tflite { namespace tflite {
namespace gpu { namespace gpu {
namespace cl { namespace cl {
namespace {
std::string GetReadImageFromDataType(DataType data_type) {
if (data_type == DataType::FLOAT32) {
return "read_imagef";
} else if (data_type == DataType::FLOAT16) {
return "read_imageh";
} else {
return "error";
}
}
std::string GetWriteImageFromDataType(DataType data_type) {
if (data_type == DataType::FLOAT32) {
return "write_imagef";
} else if (data_type == DataType::FLOAT16) {
return "write_imageh";
} else {
return "error";
}
}
std::string GetImageModifier(AccessType access) {
switch (access) {
case AccessType::READ:
return "__read_only";
case AccessType::WRITE:
return "__write_only";
case AccessType::READ_WRITE:
return "__read_write";
}
}
} // namespace
std::string GetCommonDefines(CalculationsPrecision precision) { std::string GetCommonDefines(CalculationsPrecision precision) {
std::string result; std::string result;
@ -76,8 +43,6 @@ std::string GetCommonDefines(CalculationsPrecision precision) {
result += "#define TO_FLT4 convert_float4\n"; result += "#define TO_FLT4 convert_float4\n";
result += "#define TO_ACCUM_TYPE convert_float4\n"; result += "#define TO_ACCUM_TYPE convert_float4\n";
result += "#define TO_ACCUM_FLT convert_float\n"; result += "#define TO_ACCUM_FLT convert_float\n";
result += "#define READ_IMAGE read_imagef\n";
result += "#define WRITE_IMAGE write_imagef\n";
break; break;
case CalculationsPrecision::F16: case CalculationsPrecision::F16:
result += "#pragma OPENCL EXTENSION cl_khr_3d_image_writes : enable\n"; result += "#pragma OPENCL EXTENSION cl_khr_3d_image_writes : enable\n";
@ -90,8 +55,6 @@ std::string GetCommonDefines(CalculationsPrecision precision) {
result += "#define TO_FLT4 convert_half4\n"; result += "#define TO_FLT4 convert_half4\n";
result += "#define TO_ACCUM_TYPE convert_half4\n"; result += "#define TO_ACCUM_TYPE convert_half4\n";
result += "#define TO_ACCUM_FLT convert_half\n"; result += "#define TO_ACCUM_FLT convert_half\n";
result += "#define READ_IMAGE read_imageh\n";
result += "#define WRITE_IMAGE write_imageh\n";
break; break;
case CalculationsPrecision::F32_F16: case CalculationsPrecision::F32_F16:
result += "#pragma OPENCL EXTENSION cl_khr_3d_image_writes : enable\n"; result += "#pragma OPENCL EXTENSION cl_khr_3d_image_writes : enable\n";
@ -104,8 +67,6 @@ std::string GetCommonDefines(CalculationsPrecision precision) {
result += "#define TO_FLT4 convert_half4\n"; result += "#define TO_FLT4 convert_half4\n";
result += "#define TO_ACCUM_TYPE convert_float4\n"; result += "#define TO_ACCUM_TYPE convert_float4\n";
result += "#define TO_ACCUM_FLT convert_float\n"; result += "#define TO_ACCUM_FLT convert_float\n";
result += "#define READ_IMAGE read_imageh\n";
result += "#define WRITE_IMAGE write_imageh\n";
break; break;
} }

17
tensorflow/lite/delegates/gpu/cl/linear_storage.cc
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@ -111,23 +111,6 @@ LinearStorage& LinearStorage::operator=(LinearStorage&& storage) {
return *this; return *this;
} }
std::string LinearStorage::ReadLinearFLT4(const std::string& z_coord) const {
if (storage_type_ == LinearStorageType::BUFFER) {
return absl::StrCat(name_, "[", z_coord, "]");
} else {
return absl::StrCat("READ_IMAGE(", name_, ", smp_none, (int2)(", z_coord,
", 0))");
}
}
std::string LinearStorage::GetDeclaration() const {
if (storage_type_ == LinearStorageType::BUFFER) {
return absl::StrCat("__global FLT4* ", name_);
} else {
return absl::StrCat("__read_only image2d_t ", name_);
}
}
absl::Status LinearStorage::GetGPUResources( absl::Status LinearStorage::GetGPUResources(
const GPUObjectDescriptor* obj_ptr, const GPUObjectDescriptor* obj_ptr,
GPUResourcesWithValue* resources) const { GPUResourcesWithValue* resources) const {

3
tensorflow/lite/delegates/gpu/cl/linear_storage.h
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@ -75,9 +75,6 @@ class LinearStorage : public GPUObject {
LinearStorage& operator=(const LinearStorage&) = delete; LinearStorage& operator=(const LinearStorage&) = delete;
void SetName(const std::string& name) { name_ = name; } void SetName(const std::string& name) { name_ = name; }
cl_mem GetMemoryPtr() const { return memory_; }
std::string ReadLinearFLT4(const std::string& z_coord) const;
std::string GetDeclaration() const;
absl::Status GetGPUResources(const GPUObjectDescriptor* obj_ptr, absl::Status GetGPUResources(const GPUObjectDescriptor* obj_ptr,
GPUResourcesWithValue* resources) const override; GPUResourcesWithValue* resources) const override;