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Add support for module almost_eq check for f16 type #5261
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iree/modules/check/native_module.cc
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assert(lhs_span.size() == rhs_span.size()); | ||
for (int i = 0; i < lhs_span.size(); ++i) { | ||
if (fabs(half_float::detail::half2float<float>(lhs_span[i]) - | ||
half_float::detail::half2float<float>(rhs_span[i])) > 0.0001) { |
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Let's extract this into a constant, since now we're using it in multiple places
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Sure changed it, however I'm suspecting we might want a different value for f16 at some point as we may have higher precision difference.
* 6bd5658 Merge google -> main (#5319) * 2e5257d Merge branch 'main' into google-to-main * 6936ee7 Patch VMLA performance by reserving vector size before pushing to it. (#5316) * f2f0041 NFC: Cleanup ConcretizeTileAmongstWorkgroupsPass. (#5297) * f96726a Add tests to run few other (smaller) models with Linalg on tensors path. (#5306) * fd64070 Revert "Add wasm-micro-runtime submodule and get building with CMake." (#5312) * ce0285f Continue pruning abseil usage: switch from absl::InlinedVector to std::vector... * 71e24b6 Removing hal.buffer.fill and hal.buffer.copy. (#5307) * 3c611d3 Add Mako benchmark config template file. (#5200) * 4d1a394 Fix RFFT bugs in VMLA. (#5308) * 0d55c95 Add configure_bazel.py step to TensorFlow getting started doc. * 1386d2c Switch simple_embedding_test to include drivers explicitly. (#5304) * 402550b Add StripAsserts pass and handle tf.Identity ops on tensor lists. (#5294) * fbdb4ef Add new metrics to MobileNetV2 benchmarks. (#5301) * 99c8eac Implementing Vulkan dispatch tracing. (#5287) * 2681dff Insert clones prior to mutation and not where it originates. (#5292) * aeafd9e Fix CUDA HAL bug and enable more execution tests (#5296) * 2801780 [CUDA Codegen] Enable tiling and vectorization for MatMulOp (#5293) * c61fefe Extend AffineMin canonicalization to support scf.parallel (#5289) * e0ee3f3 Add directory for microbenchmarking (#5260) * b8da32c Set wasm-export-name attributes on exported functions again. (#5286) * e2a2f81 Canonicalize affine min before applying tile-and-vecotrize passes (#5285) * 23861f7 [CUDA codegen] add vectorization infrastructure (#5278) * 6f443c4 Drop deps on Abseil's core_headers, synchronization, macros. (#5275) * e5b9e8a Actually run MobileNet with fake weights to check correctness (#5284) * e56db9a Remove dead code in LinalgToSPIRV (#5281) * 8863aa1 [NFC] Fix typos in variable names. (#5279) * 9cd93ba Turn vectorization on by default for linalg on tensors path (#5280) * 894dac6 Merge google -> main #5276 * b738162 Changing HAL dialect syntax to express all types. (#5239) * 1ba4e88 Merge branch 'main' into google-to-main * 531c73e Fix yml syntax (#5274) * 494fe32 Bumping the tracy version to 0.7.7 (WIP). (#5272) * 3616323 Disable Vulkan float16 tests on Pixel4 (#5273) * ade7ff1 Disable running BERT on Vulkan (see Issue #5268) (#5269) * 25ddc10 Add tracing to allocations made from VMA. (#5271) * df454f4 Changing iree_vm_list_resize to grow by 2x. (#5270) * bd9a113 Adding command buffer queue affinity. (#5265) * de834ae Make status matcher print the message when it fails. (#5266) * 10f5eaf Add f16 e2e tests for vulkan (#5257) * 1bdc3a4 Actually make MobileBERT run in the test. (#5264) * 2e05313 Add support for module almost_eq check for f16 type (#5261) COPYBARA_INTEGRATE_REVIEW=#5321 from NatashaKnk:main-to-google 6bd5658 PiperOrigin-RevId: 366926967
* 6bd5658 Merge google -> main (#5319) * 2e5257d Merge branch 'main' into google-to-main * 6936ee7 Patch VMLA performance by reserving vector size before pushing to it. (#5316) * f2f0041 NFC: Cleanup ConcretizeTileAmongstWorkgroupsPass. (#5297) * f96726a Add tests to run few other (smaller) models with Linalg on tensors path. (#5306) * fd64070 Revert "Add wasm-micro-runtime submodule and get building with CMake." (#5312) * ce0285f Continue pruning abseil usage: switch from absl::InlinedVector to std::vector... * 71e24b6 Removing hal.buffer.fill and hal.buffer.copy. (#5307) * 3c611d3 Add Mako benchmark config template file. (#5200) * 4d1a394 Fix RFFT bugs in VMLA. (#5308) * 0d55c95 Add configure_bazel.py step to TensorFlow getting started doc. * 1386d2c Switch simple_embedding_test to include drivers explicitly. (#5304) * 402550b Add StripAsserts pass and handle tf.Identity ops on tensor lists. (#5294) * fbdb4ef Add new metrics to MobileNetV2 benchmarks. (#5301) * 99c8eac Implementing Vulkan dispatch tracing. (#5287) * 2681dff Insert clones prior to mutation and not where it originates. (#5292) * aeafd9e Fix CUDA HAL bug and enable more execution tests (#5296) * 2801780 [CUDA Codegen] Enable tiling and vectorization for MatMulOp (#5293) * c61fefe Extend AffineMin canonicalization to support scf.parallel (#5289) * e0ee3f3 Add directory for microbenchmarking (#5260) * b8da32c Set wasm-export-name attributes on exported functions again. (#5286) * e2a2f81 Canonicalize affine min before applying tile-and-vecotrize passes (#5285) * 23861f7 [CUDA codegen] add vectorization infrastructure (#5278) * 6f443c4 Drop deps on Abseil's core_headers, synchronization, macros. (#5275) * e5b9e8a Actually run MobileNet with fake weights to check correctness (#5284) * e56db9a Remove dead code in LinalgToSPIRV (#5281) * 8863aa1 [NFC] Fix typos in variable names. (#5279) * 9cd93ba Turn vectorization on by default for linalg on tensors path (#5280) * 894dac6 Merge google -> main #5276 * b738162 Changing HAL dialect syntax to express all types. (#5239) * 1ba4e88 Merge branch 'main' into google-to-main * 531c73e Fix yml syntax (#5274) * 494fe32 Bumping the tracy version to 0.7.7 (WIP). (#5272) * 3616323 Disable Vulkan float16 tests on Pixel4 (#5273) * ade7ff1 Disable running BERT on Vulkan (see Issue #5268) (#5269) * 25ddc10 Add tracing to allocations made from VMA. (#5271) * df454f4 Changing iree_vm_list_resize to grow by 2x. (#5270) * bd9a113 Adding command buffer queue affinity. (#5265) * de834ae Make status matcher print the message when it fails. (#5266) * 10f5eaf Add f16 e2e tests for vulkan (#5257) * 1bdc3a4 Actually make MobileBERT run in the test. (#5264) * 2e05313 Add support for module almost_eq check for f16 type (#5261) PiperOrigin-RevId: 366926967
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