fix
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@ -36,11 +36,10 @@ struct TfDlManagedTensorCtx {
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std::vector<int64_t> strides;
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DLManagedTensor tensor;
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TfDlManagedTensorCtx(const TensorReference& ref)
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: reference(ref), shape(), tensor() {}
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TfDlManagedTensorCtx(const TensorReference& ref) : reference(ref) {}
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};
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// Get tensor from eager tensor handle
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// Gets tensor from eager tensor handle.
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const Tensor* GetTensorFromHandle(TFE_TensorHandle* h, TF_Status* status) {
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if (h == nullptr || !h->handle->IsValid(&status->status)) {
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status->status = tensorflow::errors::InvalidArgument(
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@ -72,7 +71,8 @@ void DLManagedTensorDeleter(DLManagedTensor* arg) {
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delete owner;
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}
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DLDataType GetDLDataType(TF_DataType data_type, TF_Status* status) {
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// Converts TF_DATAType to DLPack data type.
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DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) {
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DLDataType dtype;
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dtype.lanes = 1;
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dtype.bits = TF_DataTypeSize(data_type) * 8;
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@ -107,16 +107,17 @@ DLDataType GetDLDataType(TF_DataType data_type, TF_Status* status) {
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return dtype;
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}
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DLContext GetDLContext(TFE_TensorHandle* h, TF_Status* status) {
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// Gets DLPack's DLContext from eager tensor handle.
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DLContext GetDlContext(TFE_TensorHandle* h, TF_Status* status) {
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DLContext ctx;
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const char* device_name = h->handle->DeviceName(&status->status);
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DeviceNameUtils::ParsedName parsed_name;
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tensorflow::DeviceNameUtils::ParseFullName(device_name, &parsed_name);
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std::string device_type = parsed_name.type;
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int device_id = -1;
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int device_id = 0;
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if (parsed_name.has_id) {
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device_id = parsed_name.id;
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} // Question: Is it possible that it doens't have id?
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}
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ctx.device_id = device_id;
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if (device_type == "CPU") {
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@ -131,7 +132,7 @@ DLContext GetDLContext(TFE_TensorHandle* h, TF_Status* status) {
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return ctx;
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}
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// Convert DLContext to TF device name
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// Converts DLContext to TF device name.
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absl::optional<std::string> DeviceNameFromDlContext(const DLContext& ctx,
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TF_Status* status) {
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switch (ctx.device_type) {
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@ -144,7 +145,7 @@ absl::optional<std::string> DeviceNameFromDlContext(const DLContext& ctx,
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};
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}
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// Convert DLPack data type to TF_DATATYPE
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// Converts DLPack data type to TF_DATATYPE.
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TF_DataType TfDataTypeFormDlDataType(const DLDataType& dtype,
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TF_Status* status) {
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TF_DataType tf_dtype;
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@ -221,16 +222,15 @@ TF_DataType TfDataTypeFormDlDataType(const DLDataType& dtype,
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return tf_dtype;
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}
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// Wrapper function to match the function signature
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// TFE_NewTensorHandleFromDeviceMemory, calling the deleter of the
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// DLManagedTensor
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// Wraps the deleter function of DLManagedTensor to match the function signature
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// TFE_NewTensorHandleFromDeviceMemory.
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void DeallocatorWrapperFunc(void* data, size_t len, void* dlmt_vptr) {
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DLManagedTensor* dlmt = static_cast<DLManagedTensor*>(dlmt_vptr);
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dlmt->deleter(const_cast<DLManagedTensor*>(dlmt));
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}
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// Check whether the stride array matches the layout of compact, row-majored
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// data
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// Checks whether the stride array matches the layout of compact, row-majored
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// data.
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bool IsValidStrideCompactRowMajorData(int64_t* shape_arr, int64_t* stride_arr,
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int ndim) {
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if (ndim >= 1 && stride_arr[ndim - 1] != 1) {
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@ -263,11 +263,11 @@ void* TFE_HandleToDLPack(TFE_TensorHandle* h, TF_Status* status) {
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DLManagedTensor* dlm_tensor = &tf_dlm_tensor_ctx->tensor;
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dlm_tensor->manager_ctx = tf_dlm_tensor_ctx;
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dlm_tensor->deleter = &DLManagedTensorDeleter;
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dlm_tensor->dl_tensor.ctx = GetDLContext(h, status);
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dlm_tensor->dl_tensor.ctx = GetDlContext(h, status);
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int ndim = tensor->dims();
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dlm_tensor->dl_tensor.ndim = ndim;
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dlm_tensor->dl_tensor.data = TFE_TensorHandleDevicePointer(h, status);
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dlm_tensor->dl_tensor.dtype = GetDLDataType(data_type, status);
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dlm_tensor->dl_tensor.dtype = GetDlDataType(data_type, status);
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std::vector<int64_t>* shape_arr = &tf_dlm_tensor_ctx->shape;
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std::vector<int64_t>* stride_arr = &tf_dlm_tensor_ctx->strides;
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@ -283,9 +283,9 @@ void* TFE_HandleToDLPack(TFE_TensorHandle* h, TF_Status* status) {
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dlm_tensor->dl_tensor.shape = &(*shape_arr)[0];
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// There are two ways to represent compact row-major data
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// 1) nullptr indicates tensor is compact and row-majored.
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// 2) fill in the strides array as the real case for compact row-major data
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// Here we choose option 2, since some framework didn't handle the strides
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// argument properly
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// 2) fill in the strides array as the real case for compact row-major data.
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// Here we choose option 2, since some frameworks didn't handle the strides
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// argument properly.
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dlm_tensor->dl_tensor.strides = &(*stride_arr)[0];
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dlm_tensor->dl_tensor.byte_offset =
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0; // TF doesn't handle the strides and byte_offsets here
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@ -24,16 +24,16 @@ namespace tensorflow {
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// PyCapsule name for DLPack Tensor
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const char* const kDlTensorCapsuleName = "dltensor";
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// Convert eager tensor handle to DLPack (DLManagedTensor*), and return the
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// void* for further PyCapsule construction
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// Converts eager tensor handle to DLPack (DLManagedTensor*), and return the
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// void* for further PyCapsule construction.
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TF_CAPI_EXPORT extern void* TFE_HandleToDLPack(TFE_TensorHandle* h,
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TF_Status* status);
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// Convert DLPack (DLManagedTensor*) to eager tensor handle
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// Converts DLPack (DLManagedTensor*) to eager tensor handle.
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TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_HandleFromDLPack(void* dlm,
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TF_Status* status);
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// Call the destructor of DLManagedTensor, used in the destructor of PyCapsule
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// Calls the destructor of DLManagedTensor, used in the destructor of PyCapsule.
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TF_CAPI_EXPORT extern void TFE_CallDLManagedTensorDeleter(void* dlm_ptr);
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} // namespace tensorflow
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