delete trailing whitespaces
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3 changed files with 11 additions and 11 deletions
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@ -31,7 +31,7 @@
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*
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* @details This function takes a ggml_type as input and returns the corresponding
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* aclDataType. It supports mapping for various ggml_types. If the input type
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* does not match any of the predefined ggml_types, the function returns
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* does not match any of the predefined ggml_types, the function returns
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* ACL_DT_UNDEFINED.
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*
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* @param type The ggml_type to be mapped.
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@ -51,7 +51,7 @@ aclDataType type_mapping(ggml_type type);
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* @param tensor Pointer to the ggml_tensor to be converted to ACL tensor.
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* @param ne Pointer to an array containing dimensions. Defaults to nullptr
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* if no customer shape is applied.
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* @param nb Pointer to an array containing strides. Defaults to nullptr
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* @param nb Pointer to an array containing strides. Defaults to nullptr
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* if no customer shape is applied.
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* @param dims Number of dimensions in the tensor. Defaults to 0 if no customer
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* shape is applied.
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@ -132,7 +132,7 @@ bool need_bcast(const ggml_tensor* t0, const ggml_tensor* t1);
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* that src1 can be element-wise broadcasted to src0's shape.
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*
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* How it works:
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*
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*
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* if dim0 has padding.
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* a -> (2, 2) padding = 2
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* a: [[1, 2, *, *]
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@ -109,9 +109,9 @@ void ggml_cann_repeat(ggml_backend_cann_context& ctx, ggml_tensor* dst) {
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* @brief Adds two tensors element-wise and stores the result in a destination
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* tensor.
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*
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* This function performs the operation:
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* This function performs the operation:
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* \f[
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* dst = acl\_src0 + alpha \times acl\_src1
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* dst = acl\_src0 + alpha \times acl\_src1
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* \f]
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* where alpha is a scalar value and defaults to 1.0f.
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*
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@ -250,9 +250,9 @@ void ggml_cann_concat(ggml_backend_cann_context& ctx, ggml_tensor* dst) {
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* @brief Creates a tensor with values starting from `start`, incremented by
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* `step`, and ending before `stop`.
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*
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* This function performs the operation:
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* This function performs the operation:
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* \f[
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* \text {out }_{i+1}=\text {out }_i+\text {step}
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* \text {out }_{i+1}=\text {out }_i+\text {step}
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* \f]
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* the range is [start, stop).
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*
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@ -1568,7 +1568,7 @@ static void aclnn_mul(ggml_backend_cann_context& ctx,
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/**
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* @brief Applies element-wise cosine function to the elements of a tensor.
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*
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*
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* This function computes the cosine of each element in the source tensor `acl_src`
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* and stores the result in the destination tensor `acl_dst`.
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* The operation is defined as:
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@ -1598,7 +1598,7 @@ static void aclnn_cos(ggml_backend_cann_context& ctx, aclTensor* acl_src,
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/**
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* @brief Applies element-wise sine function to the elements of a tensor.
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*
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*
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* This function computes the sine of each element in the source tensor `acl_src`
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* and stores the result in the destination tensor `acl_dst`.
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* The operation is defined as:
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@ -308,7 +308,7 @@ void ggml_cann_upsample_nearest2d(ggml_backend_cann_context& ctx,
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void ggml_cann_pad(ggml_backend_cann_context& ctx, ggml_tensor* dst);
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/**
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* @brief Executes a 2D pooling operation on a ggml tensor using the CANN
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* @brief Executes a 2D pooling operation on a ggml tensor using the CANN
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* backend.
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*
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* @details This function dispatches the execution of a 2D pooling operation on
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@ -355,7 +355,7 @@ void ggml_cann_dup(ggml_backend_cann_context& ctx, ggml_tensor* dst);
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* prevent division by zero.
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* The operation is defined as:
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* \f[
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* \text{RmsNorm}\left(x_i\right)=\frac{x_i}{\text{Rms}(\mathbf{x})} g_i,
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* \text{RmsNorm}\left(x_i\right)=\frac{x_i}{\text{Rms}(\mathbf{x})} g_i,
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* \quad \text { where } \text{Rms}(\mathbf{x})=\sqrt{\frac{1}{n} \sum_{i=1}^n x_i^2+e p s}
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* \f]
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* `eps` is in dst->op_params.
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