- Sort Score
- Result 10 results
- Languages All
Results 21 - 30 of 50 for 4xi4 (0.04 sec)
-
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
// CHECK-LABEL: broadcast_to_to_reshape_i64 func.func @broadcast_to_to_reshape_i64(%arg0: tensor<4x4x4xf32>, %arg1 : tensor<4xi64>) -> tensor<1x4x4x4xf32> { %0 = "tfl.broadcast_to"(%arg0, %arg1) : (tensor<4x4x4xf32>, tensor<4xi64>) -> tensor<1x4x4x4xf32> // CHECK: "tfl.cast" // CHECK-SAME: (tensor<4xi64>) -> tensor<4xi32> // CHECK-NEXT: "tfl.reshape" // CHECK-SAME: (tensor<4x4x4xf32>, tensor<4xi32>) -> tensor<1x4x4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
// test stablehlo roundtrip // Identity function to make the exporter happy func.func @main(%arg0: tensor<4xi8>) -> tensor<4xi8> { func.return %arg0 : tensor<4xi8> } //CHECK:func.func @main(%arg0: tensor<4xi8>) -> tensor<4xi8> attributes {tf.entry_function = {inputs = "arg0", outputs = "arg0"}} { //CHECK: return %arg0 : tensor<4xi8> //CHECK:} func.func @logistic(%arg0: tensor<1x1x1x96xf32>) -> tensor<1x1x1x96xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/fold_broadcast.mlir
%1 = mhlo.constant dense<[[[[0, 1, 2, 3]], [[0, 1, 2, 3]]]]> : tensor<1x2x1x4xi32> %2 = "mhlo.broadcast_in_dim"(%0) <{broadcast_dimensions = dense<[0, 1, 2, 3]> : tensor<4xi64>}> : (tensor<1x1x1x4xi32>) -> tensor<1x2x1x4xi32> %3 = mhlo.multiply %1, %2 : tensor<1x2x1x4xi32> // CHECK: return %[[RES]] : tensor<1x2x1x4xi32> return %3 : tensor<1x2x1x4xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 4.1K bytes - Viewed (0) -
test/torture.go
uint64(s[9]))<<4| uint64(s[10]))<<4| uint64(s[11]))<<4| uint64(s[12]))<<4| uint64(s[13]))<<4| uint64(s[14]))<<4 | uint64(s[15])) return r } // Compute the determinant of a 4x4-matrix by the sum // over all index permutations. func determinant(m [4][4]float64) float64 { return m[0][0]*m[1][1]*m[2][2]*m[3][3] - m[0][0]*m[1][1]*m[2][3]*m[3][2] - m[0][0]*m[1][2]*m[2][1]*m[3][3] +
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jul 01 07:20:51 UTC 2014 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/ir/QuantOps.td
// operate on quantized values. // // Examples from storage to quantized type: // i8 -> !quant<"uniform[i8:f32]{1.0}"> // tensor<4xi8> -> tensor<4x!quant<"uniform[i8:f32]{1.0}">> // vector<4xi8> -> vector<4x!quant<"uniform[i8:f32]{1.0}">> def Quantization_StorageCastOp : Quantization_Op<"scast", [Pure]> { let arguments = (ins quant_RealOrStorageValueType:$arg);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 09 03:10:59 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/parallelization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 08 22:07:30 UTC 2023 - 15K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.td
// operate on quantized values. // // Examples from storage to quantized type: // i8 -> !quant<"uniform[i8:f32]{1.0}"> // tensor<4xi8> -> tensor<4x!quant<"uniform[i8:f32]{1.0}">> // vector<4xi8> -> vector<4x!quant<"uniform[i8:f32]{1.0}">> def quantfork_StorageCastOp : quantfork_Op<"scast", [Pure]> { let arguments = (ins quant_RealOrStorageValueType:$arg);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 13 12:46:08 UTC 2022 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
func.return %0 : tensor<2x?x2x4xf32> // CHECK-LABEL: convert_dot_general_dynamic_batch_dim // CHECK: %0 = "tfl.pseudo_const"() <{value = dense<[0, 1, 3, 2]> : tensor<4xi64>}> : () -> tensor<4xi64> // CHECK-NEXT: %1 = "tfl.cast"(%0) : (tensor<4xi64>) -> tensor<4xi32> // CHECK-NEXT: %2 = "tfl.transpose"(%arg1, %1) : (tensor<2x?x4x3xf32>, tensor<4xi32>) -> tensor<2x?x3x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
src/internal/chacha8rand/chacha8_generic.go
// See https://cr.yp.to/chacha/chacha-20080128.pdf. // // ChaCha8 operates on a 4x4 matrix of uint32 values, initially set to: // // const1 const2 const3 const4 // seed seed seed seed // seed seed seed seed // counter64 0 0 // // We use the same constants as ChaCha20 does, a random seed, // and a counter. Running ChaCha8 on this input produces // a 4x4 matrix of pseudo-random values with as much entropy // as the seed. //
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Dec 05 20:32:54 UTC 2023 - 6.3K bytes - Viewed (0)