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Results 1 - 6 of 6 for i8_1 (0.05 sec)
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test/typeparam/issue48191.go
var i32_0, i32_1 int32 var m8, m9, m10 map[bool]struct { } pi64_1 = pi64_0 m6[func(G3, G2) G1 { return (G1(35) | i8_0) << i8_1 / i8_1 &^ i8_1 / i8_1 }(G3("YBiKg"), G2(122.6))] = make(chan bool) ast0 = ast0 i8_1 = (((G1(10)+i8_1)&i8_0+i8_0)&i8_0&i8_1 ^ i8_1) & i8_1 am4 = am3 i32_1 = int32(10) &^ i32_0 m8[func(float64, G3) bool { return func(rune, int16) bool {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Mar 01 19:45:34 UTC 2022 - 9.7K bytes - Viewed (0) -
test/fixedbugs/issue6866.go
// Inverse Hilbert matrix const ( i0_0 = +1 * b2_1 * b2_1 * b0_0 * b0_0 i0_1 = -2 * b2_0 * b3_1 * b1_0 * b1_0 i1_0 = -2 * b3_1 * b2_0 * b1_1 * b1_1 i1_1 = +3 * b3_0 * b3_0 * b2_1 * b2_1 ) // Product matrix const ( p0_0 = h0_0*i0_0 + h0_1*i1_0 p0_1 = h0_0*i0_1 + h0_1*i1_1 p1_0 = h1_0*i0_0 + h1_1*i1_0 p1_1 = h1_0*i0_1 + h1_1*i1_1 ) // Verify that product is identity matrix
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 02 22:49:47 UTC 2015 - 1.5K bytes - Viewed (0) -
src/internal/types/testdata/spec/assignability.go
i8 Int8, i16 Int16, i32 Int32, i64 Int64, i8_16 Int8_16, ) { b = 42 b = 42.0 // etc. i8 = -1 << 7 i8 = 1<<7 - 1 i16 = -1 << 15 i16 = 1<<15 - 1 i32 = -1 << 31 i32 = 1<<31 - 1 i64 = -1 << 63 i64 = 1<<63 - 1 i8_16 = -1 << 7 i8_16 = 1<<7 - 1 i8_16 = - /* ERRORx `cannot use .* as Int8_16` */ 1 << 15 i8_16 = 1 /* ERRORx `cannot use .* as Int8_16` */ <<15 - 1 }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Nov 09 17:24:42 UTC 2023 - 5.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/device_target.cc
i32_max_ = QuantizedType::getDefaultMaximumForInteger(kSigned, k32Bits); any_ = AnyQuantizedType(); qi8_ = AnyQuantizedType::get(kSigned, i8_, f32_, i8_min_, i8_max_); qi8n_ = AnyQuantizedType::get(kSigned, i8_, f32_, i8_min_ + 1, i8_max_); qi32_ = AnyQuantizedType::get(kSigned, i32_, f32_, i32_min_, i32_max_); assert(qi8n_ == qi8n_); } std::optional<KernelSpec> DeviceTarget::GetKernelSpec(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 08 10:41:08 UTC 2024 - 7.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/raise_to_tf.mlir
!tfr.attr {tfr.name="K",tfr.type="dtype"}) -> !tfr.tensor<K> attributes {T, K} tfr.func @tf__positive_(!tfr.tensor<T>) -> !tfr.tensor<i1_> attributes {T, i1_} tfr.func @tf__invalid_type_op_(!tfr.tensor<T>) -> !tfr.tensor<i8_> attributes {T, i8_} // CHECK-LABEL: decompose_tf_same func.func @decompose_tf_same(%arg0: tensor<1x2x3x4x!tf_type.string>) -> tensor<1x2x3x4x!tf_type.string> { %0 = "tfr.cast"(%arg0) : (tensor<1x2x3x4x!tf_type.string>) -> !tfr.tensor
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/device_target.h
QuantizedMultipliers* output_multipliers, QuantizedRanges* output_ranges); // A set of parameters are required to build the signatures. FloatType f32_; IntegerType i8_, i32_; int64_t i8_min_, i8_max_, i32_min_, i32_max_; quant::AnyQuantizedType any_, qi8_, qi8n_, qi32_; private: // Maps the kernel names to all the available kernels. llvm::StringMap<KernelSpecs> specs_;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 08 10:41:08 UTC 2024 - 7.1K bytes - Viewed (0)