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Results 1 - 6 of 6 for UI8 (0.07 sec)
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test/bounds.go
use(p1[i8]) use(p1k[i8]) use(p100k[i8]) // Unsigned 8-bit numbers don't need checks for len >= 2⁸. use(s[ui8]) use(a1[ui8]) use(a1k[ui8]) // ERROR "index bounds check elided" use(a100k[ui8]) // ERROR "index bounds check elided" use(p1[ui8]) use(p1k[ui8]) // ERROR "index bounds check elided" use(p100k[ui8]) // ERROR "index bounds check elided" use(s[i16]) use(a1[i16]) use(a1k[i16]) use(a100k[i16])
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Oct 27 03:11:45 UTC 2020 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/convert_mhlo_quant_to_int.mlir
module attributes {tf.versions = {producer = 179 : i32}} { func.func @main(%arg0: tensor<f32>) -> tensor<f32> { %0 = "stablehlo.uniform_quantize"(%arg0) : (tensor<f32>) -> tensor<!quant.uniform<ui8:f32, 34.0:16>> %1 = "stablehlo.uniform_dequantize"(%0) : (tensor<!quant.uniform<ui8:f32, 34.0:16>>) -> tensor<f32> func.return %1 : tensor<f32> } } // CHECK-LABEL: HloModule main // CHECK: ENTRY %main.{{[0-9]+}} ([[ARG0:.*]]: f32[]) -> (f32[]) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 07 16:28:50 UTC 2023 - 1.2K bytes - Viewed (0) -
test/rotate.go
"fmt" "os" ) var ( i8 int8 = 0x12 i16 int16 = 0x1234 i32 int32 = 0x12345678 i64 int64 = 0x123456789abcdef0 ui8 uint8 = 0x12 ui16 uint16 = 0x1234 ui32 uint32 = 0x12345678 ui64 uint64 = 0x123456789abcdef0 ni8 = ^i8 ni16 = ^i16 ni32 = ^i32 ni64 = ^i64 nui8 = ^ui8 nui16 = ^ui16 nui32 = ^ui32 nui64 = ^ui64 ) var nfail = 0 func main() { if nfail > 0 {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 02 13:43:18 UTC 2016 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.cc
// `tfl.quantize` or `tfl.dequantize` ops. ui8, i8 and i16 are supported. bool IsSupportedByTfliteQuantizeOrDequantizeOps(IntegerType storage_type) { if (storage_type.getWidth() == 8 || (storage_type.isSigned() && storage_type.getWidth() == 16)) { return true; } LLVM_DEBUG(llvm::dbgs() << "Uniform quantize / dequantize op only supports ui8, i8 or "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h
bool IsI32F32UniformQuantizedPerAxisType(Type type); // Determines whether the storage type of a quantized type is supported by // `tfl.quantize` or `tfl.dequantize` ops. ui8, i8 and i16 are supported. bool IsSupportedByTfliteQuantizeOrDequantizeOps(IntegerType storage_type); // Returns true if a type is quantized tensor type. bool IsQuantizedTensorType(Type type);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0) -
src/internal/types/testdata/check/const0.go
// integer values ui0 = 0 ui1 = 1 ui2 = 42 ui3 = 3141592653589793238462643383279502884197169399375105820974944592307816406286 ui4 = -10 ui5 = ui0 + ui1 ui6 = ui1 - ui1 ui7 = ui2 * ui1 ui8 = ui3 / ui3 ui9 = ui3 % ui3 ui10 = 1 / 0 /* ERROR "division by zero" */ ui11 = ui1 / 0 /* ERROR "division by zero" */ ui12 = ui3 / ui0 /* ERROR "division by zero" */ ui13 = 1 % 0 /* ERROR "division by zero" */
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jan 17 19:54:25 UTC 2023 - 9.2K bytes - Viewed (0)