Searched refs:float16 (Results 1 – 10 of 10) sorted by relevance
| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | tile_1.mod.py | 32 float16 = DataTypeConverter().Identify({ variable
41 }).AddVariations("relaxed", float16, quant8)
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| D | tile_2.mod.py | 41 float16 = DataTypeConverter().Identify({ variable
50 }).AddVariations("relaxed", float16, quant8, int32)
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| D | tile_3.mod.py | 41 float16 = DataTypeConverter().Identify({ variable
50 }).AddVariations("relaxed", float16, quant8, int32)
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| D | gather.mod.py | 30 float16 = DataTypeConverter().Identify({
38 }, model=model).AddVariations("relaxed", quant8, int32, float16)
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| D | dequantize_v1_2.mod.py | 139 float16 = DataTypeConverter().Identify({o3: ("TENSOR_FLOAT16",)}) variable
146 }).AddVariations("relaxed", float16)
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| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | dequantize_quant8_signed.mod.py | 99 float16 = DataTypeConverter().Identify({o3: ("TENSOR_FLOAT16",)}) variable
106 }).AddVariations("relaxed", float16)
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| /frameworks/ml/nn/runtime/test/fuzzing/ |
| D | TestRandomGraph.cpp | 474 .float16 = {.bias = 1e-4f, .mse = 1e-8f, .atol = 1e-3f, .rtol = 1e-3f},
488 .float16 = {.bias = 1e-3f, .mse = 1e-5f, .atol = 1e-2f, .rtol = 1e-2f},
502 .float16 = {.bias = 5e-3f, .mse = 1e-3f, .atol = 1.0f, .rtol = 1.0f},
514 .float16 = {.bias = 5e-2f, .mse = 1e-2f, .atol = 1.0f, .rtol = 1.0f},
745 .float16 = {.bias = 5e-2f, .mse = 1e-2f, .atol = 1.0f, .rtol = 1.0f},
756 .float16 = {.bias = 1e-1f, .mse = 5e-2f, .atol = 1.0f, .rtol = 1.0f},
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| /frameworks/ml/nn/tools/test_generator/test_harness/ |
| D | TestHarness.cpp | 212 expectNear<_Float16>(operand, result, criteria.float16, in checkResults()
265 .float16 = {.atol = 5.0f * 0.0009765625, .rtol = 5.0f * 0.0009765625}, in checkResults()
285 criteria.float32 = criteria.float16; in checkResults()
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| /frameworks/ml/nn/tools/test_generator/test_harness/include/ |
| D | TestHarness.h | 490 AccuracyCriterion float16; member
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| /frameworks/ml/nn/tools/test_generator/ |
| D | README.md | 264 example.AddVariations("float16") # will apply to every TENSOR_FLOAT32 operands
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