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Unified conv3D API + support for all data types. (#133)
* Convolution ND * Code unification across dimensions for generating tensor descriptors. * Example * Instances * Move convnd f32 instance file to comply with repo structure. * Conv 1D tensor layouts. * Formatting and use ReferenceConv * Reference ConvFwd supporting 1D and 2D convolution. * Debug printing TensorLayout name. * Conv fwd 1D instance f32 * Refactor conv ND example. Needed to support various conv dimensio. Needed to support various conv dimensions * Rename conv nd example director to prevent conflicts. * Refactor some common utility to single file. Plus some tests. * Refactor GetHostTensorDescriptor + UT. * Add 1D test case. * Test reference convolution 1d/2d * Remove some leftovers. * Fix convolution example error for 1D * Refactor test check errors utility function. * Test Conv2D Fwd XDL * More UT for 1D case. * Parameterize input & weight initializers. * Rename example to prevent conflicts. * Split convnd instance into separate files for 1d/2d * Address review comments. * Fix data type for flops/gbytes calculations. * Assign example number 11. * 3D cases for convolution utility functions. * 3D reference convolution. * Add support for 3D convolution. * Check for inputs bigger than 2GB. * Formatting * Support for bf16/f16/f32/i8 - conv instances + UT. * Use check_err from test_util.hpp. * Split convnd test into separate files for each dim. * Fix data generation and use proper instances. * Formatting * Skip tensor initialization if not necessary. * Fix CMakefiles. * Remove redundant conv2d_fwd test. * Lower problem size for conv3D UT. * 3D case for convnd example. * Remove leftovers after merge. * Add Conv Specialization string to GetTypeString * Skip instance causing numerical errors. * Small fixes. * Remove redundant includes. * Fix namespace name error. * Script for automatic testing and logging convolution fwd UTs * Comment out numactl cmd. * Refine weights initalization and relax rtol for fp16 * Fix weights initialization for int8. * Add type_convert when store output in ref conv 1D. * Get back old conv2d_fwd_xdl operation. * Silence conv debug print. * format * clean * clean * Fix merge. * Fix namespace for check_err Co-authored-by: Adam Osewski <aosewski@amd.com> Co-authored-by: Chao Liu <chao.liu2@amd.com>
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@@ -273,21 +273,21 @@ bool test_reduce_with_index_impl(int init_method,
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{
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reduce_util::to_f32_vector(out, out_fp32);
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reduce_util::to_f32_vector(out_ref, out_ref_fp32);
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single_result = test_util::check_err(
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single_result = test::check_err(
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out_fp32.mData, out_ref_fp32.mData, "Error: incorrect data result!");
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}
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else
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{
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single_result =
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test_util::check_err(out.mData, out_ref.mData, "Error: incorrect data result!");
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test::check_err(out.mData, out_ref.mData, "Error: incorrect data result!");
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};
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if(NeedIndices)
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{
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out_indices_dev.FromDevice(out_indices.mData.data());
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single_result = single_result && test_util::check_err(out_indices_ref.mData,
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out_indices.mData,
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"Error: incorrect index result!");
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single_result = single_result && test::check_err(out_indices_ref.mData,
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out_indices.mData,
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"Error: incorrect index result!");
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};
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if(!single_result)
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@@ -370,22 +370,21 @@ bool test_reduce_with_index_impl(int init_method,
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{
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reduce_util::to_f32_vector(out, out_fp32);
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reduce_util::to_f32_vector(out_ref, out_ref_fp32);
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single_result = test_util::check_err(
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single_result = test::check_err(
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out_fp32.mData, out_ref_fp32.mData, "Error: incorrect data result!");
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}
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else
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{
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single_result =
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test_util::check_err(out.mData, out_ref.mData, "Error: incorrect data result!");
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test::check_err(out.mData, out_ref.mData, "Error: incorrect data result!");
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};
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if(NeedIndices)
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{
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out_indices_dev.FromDevice(out_indices.mData.data());
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single_result =
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single_result && test_util::check_err(out_indices_ref.mData,
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out_indices.mData,
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"Error: incorrect index result!");
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single_result = single_result && test::check_err(out_indices_ref.mData,
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out_indices.mData,
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"Error: incorrect index result!");
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};
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if(!single_result)
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