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Results 11 - 20 of 42 for 5xf64 (0.07 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
func.return %0 : tensor<4xf32> } func.func @f64() -> tensor<4xf64> { // CHECK-LABEL: @f64 // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf64> %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf64> } : () -> tensor<4xf64> func.return %0 : tensor<4xf64> } func.func @i8() -> tensor<4xi8> { // CHECK-LABEL: @i8
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
func.return %0 : tensor<4xf32> } func.func @f64() -> tensor<4xf64> { // CHECK-LABEL: @f64 // CHECK: value = dense<[1.000000e+00, 2.000000e+00, 3.000000e+00, 4.000000e+00]> : tensor<4xf64> %0 = "tfl.pseudo_const"() { value = dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf64> } : () -> tensor<4xf64> func.return %0 : tensor<4xf64> } func.func @i8() -> tensor<4xi8> { // CHECK-LABEL: @i8
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/cc/const_op_size_test.cc
EXPECT_THAT(num_bytes, Eq(16)); } TEST_F(GetSizeInBytesTest, Float64ConstOpSizeInBytes) { constexpr absl::string_view kConstOpExpr = R"mlir(%cst = "tf.Const"() {value = dense<3.0> : tensor<2xf64>} : () -> tensor<2xf64>)mlir"; Block block{}; TF::ConstOp int_tensor_const_op = ParseConstOp(kConstOpExpr, block, ctx_); const int64_t num_bytes = GetSizeInBytes(int_tensor_const_op); EXPECT_THAT(num_bytes, Eq(16));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:37:13 UTC 2022 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} func.func @real(%arg0: tensor<1 x complex<f64>>) -> tensor<1xf64> { %0 = "tf.Real"(%arg0) : (tensor<1 x complex<f64>>) -> tensor<1xf64> func.return %0: tensor<1xf64> // CHECK-LABEL: real // CHECK: "tfl.real"(%arg0) : (tensor<1xcomplex<f64>>) -> tensor<1xf64> // CHECK: return } func.func @imag(%arg0: tensor<1 x complex<f64>>) -> tensor<1xf64> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/shape-attrs.pbtxt
} } } attr { key: "dtype" value { type: DT_BOOL } } } # CHECK-DAG: tf.IteratorGetNext{{.+}}-> (tensor<1x8xbf16>, tensor<2x?x16xf32>, tensor<*xf64>) # CHECK-DAG: tf.IteratorGetNextSync{{.+}}-> (tensor<*xi16>, tensor<3x24xi32>, tensor<?x4x32xi64>) # CHECK-DAG: tf.MultiDeviceIteratorGetNextFromShard{{.+}}-> (tensor<5x40xf16>, tensor<*xcomplex<f32>>, tensor<6x48x?xcomplex<f64>>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 04 18:02:53 UTC 2020 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
//CHECK-NEXT: return %0 : tensor<1x161x1xf32> //CHECK-NEXT:} func.func @convert(%arg0: tensor<2xf64>) -> tensor<2xf32> { %0 = "vhlo.convert_v1" (%arg0) : (tensor<2xf64>) -> tensor<2xf32> return %0 : tensor<2xf32> } //CHECK:func.func private @convert(%arg0: tensor<2xf64>) -> tensor<2xf32> { //CHECK-NEXT: %0 = "vhlo.convert_v1"(%arg0) : (tensor<2xf64>) -> tensor<2xf32> //CHECK-NEXT: return %0 : tensor<2xf32> //CHECK-NEXT:}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (1) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-NEXT: mhlo.return %[[CMP]] // CHECK-NEXT: }) : (tensor<8xf64>) -> tensor<8xf64> // CHECK-NEXT: return %[[SORT]] %output = "tf.XlaSort"(%input) : (tensor<8xf64>) -> (tensor<8xf64>) func.return %output : tensor<8xf64> } // ----- // CHECK-LABEL: @xlasort_const func.func @xlasort_const() -> (tensor<2x3xi64>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
"mhlo.return"(%5) : (tensor<f32>) -> () }) { base_dilations = dense<1> : tensor<5xi64>, padding = dense<0> : tensor<5x2xi64>, window_dilations = dense<1> : tensor<5xi64>, window_dimensions = dense<[1, 3, 3, 3, 1]> : tensor<5xi64>, window_strides = dense<[1, 2, 2, 2, 1]> : tensor<5xi64>} : (tensor<4x16x16x16x8xf32>, tensor<f32>) -> tensor<4x7x7x7x8xf32> %3 = mhlo.divide %2, %1 : tensor<4x7x7x7x8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/pick-subgraphs.mlir
%cst = arith.constant dense<[2, 1, 200, 200, 200]> : tensor<5xi64> %0 = "tfl.concatenation"(%arg0, %arg1) {axis = 0 : i32, fused_activation_function = "NONE"} : (tensor<1x200x200x200xf32>, tensor<1x200x200x200xf32>) -> tensor<2x200x200x200xf32> %1 = "tfl.reshape"(%0, %cst) : (tensor<2x200x200x200xf32>, tensor<5xi64>) -> tensor<2x1x200x200x200xf32> func.return %1 : tensor<2x1x200x200x200xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
// CHECK: return %[[CST]] } // CHECK-LABEL: @cast_i64_to_i32 func.func @cast_i64_to_i32() -> tensor<5xi32> { %cst = arith.constant dense<[-1, 0, 1, 2147483647, 2147483648]> : tensor<5xi64> %0 = "tfl.cast"(%cst) : (tensor<5xi64>) -> tensor<5xi32> func.return %0 : tensor<5xi32> // CHECK: %[[CST:.*]] = arith.constant dense<[-1, 0, 1, 2147483647, -2147483648]> : tensor<5xi32> // CHECK: return %[[CST]] }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0)