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Files

Po Yen Chen 4a2a56c22f Rangify constructor of HostTensorDescriptor & Tensor<> (#445 )

* Rangify STL algorithms

This commit adapts rangified std::copy(), std::fill() & std::transform()

* Rangify check_err()

By rangifying check_err(), we can not only compare values between
std::vector<>s, but also compare any ranges which have same value
type.

* Allow constructing Tensor<> like a HostTensorDescriptor

* Simplify Tensor<> object construction logics

* Remove more unnecessary 'HostTensorDescriptor' objects

* Re-format example code

* Re-write more HostTensorDescriptor ctor call

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CMakeLists.txt

N-D Tensor Contraction example, instance, and client example (#270 )

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contraction_bilinear_xdl_fp32.cpp

Rangify constructor of HostTensorDescriptor & Tensor<> (#445 )

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contraction_scale_xdl_fp32.cpp

Rangify constructor of HostTensorDescriptor & Tensor<> (#445 )

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README.md

N-D Tensor Contraction example, instance, and client example (#270 )

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README.md

Instructions for `example_contraction_bilinear_xdl_fp32`

Run

#arg1: verification (0=no, 1=yes)
#arg2: initialization (0=no init, 1=integer value, 2=decimal value)
#arg3: time kernel (0=no, 1=yes)
./bin/example_contraction_bilinear_xdl_fp32 1 1 1

Result (MI100 @ dynammic freq, 46TFlops peak FP32)

a_ms_ks: dim 4, lengths {30, 128, 32, 64}, strides {524288, 4096, 128, 1}
b_ks_ns: dim 4, lengths {32, 64, 32, 64}, strides {128, 1, 524288, 4096}
c_ms_ns: dim 4, lengths {30, 128, 32, 64}, strides {524288, 4096, 128, 1}
launch_and_time_kernel: grid_dim {240, 1, 1}, block_dim {256, 1, 1}
Warm up 1 time
Start running 10 times...
Perf: 0.843286 ms, 38.1985 TFlops, 94.5014 GB/s, DeviceContractionMultipleD_Xdl_CShuffle<256, 256, 128, 16, 4, 4>

README.md

Instructions for example_contraction_bilinear_xdl_fp32

Run

Instructions for `example_contraction_bilinear_xdl_fp32`