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Results 31 - 37 of 37 for 3x4xi8 (0.16 sec)
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tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @valid_unranked_inputs_on_reshape(%arg0: tensor<3x4xi32>, %arg1: tensor<*xi32>) -> tensor<3x4xi32> { // CHECK: "tfl.reshape"(%arg0, %arg1) %0 = "tfl.reshape"(%arg0, %arg1) : (tensor<3x4xi32>, tensor<*xi32>) -> tensor<3x4xi32> func.return %0 : tensor<3x4xi32> } // ----- // CHECK-LABEL: valid_one_dynamic_dim_on_reshape func.func @valid_one_dynamic_dim_on_reshape(%arg0: tensor<3x4xi32>) -> tensor<1x3x4xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// `tfl.slice` when stride is 1. func.func @slice( %arg0: tensor<3x4x!quant.uniform<i8:f32, 2.000000e+00:-1>> ) -> tensor<2x2x!quant.uniform<i8:f32, 2.000000e+00:-1>> { %0 = "stablehlo.slice"(%arg0) { start_indices = array<i64: 1, 2>, limit_indices = array<i64: 3, 4>, strides = array<i64: 1, 1> } : ( tensor<3x4x!quant.uniform<i8:f32, 2.000000e+00:-1>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} func.func @where(%arg0: tensor<3x5xi1>) -> tensor<?x2xi64> { %0 = "tf.Where"(%arg0) : (tensor<3x5xi1>) -> tensor<?x2xi64> func.return %0 : tensor<?x2xi64> // CHECK-LABEL: where // CHECK: "tfl.where"(%arg0) : (tensor<3x5xi1>) -> tensor<?x2xi64> } func.func @floor_mod(%arg0: tensor<5xf32>, %arg1: tensor<5xf32>) -> tensor<5xf32> {
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/tf-ops.mlir
func.return %0 : tensor<4x2x!tf_type.string> } // ----- // CHECK-LABEL: func @testBitcast func.func @testBitcast(%arg0: tensor<3x4xui16>) -> tensor<3x4x!tf_type.quint16> { %0 = "tf.Bitcast"(%arg0) : (tensor<3x4xui16>) -> tensor<3x4x!tf_type.quint16> func.return %0 : tensor<3x4x!tf_type.quint16> } // ----- // CHECK-LABEL: func @testBitcast_v2 func.func @testBitcast_v2(%arg0: tensor<3x2xi16>) -> tensor<3xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
func.func @DequantizeAndQuantize() -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> { %cst = "tfl.pseudo_qconst"() {qtype = tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>, value = dense<-1> : tensor<2x2xi8>} : () -> tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> %0 = "tfl.dequantize"(%cst) : (tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>) -> tensor<2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.cc
} // Returns a RankedTensorType which is similar to `input_type` but replaces the // dimension size of `dim` with `dim_size`. For example, // `SubstituteRankedTensorTypeDimSize(tensor<3x4xi32>, 1, 2)` returns // `tensor<3x2xi32>`. static RankedTensorType SubstituteRankedTensorTypeDimSize( RankedTensorType input_type, int64_t dim, int64_t dim_size) { auto shape = input_type.getShape().vec();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
%cst_3 = arith.constant dense<[1, 0]> : tensor<2xi32> %79 = "tfl.pseudo_qconst"() {qtype = tensor<3x2x!quant.uniform<i8<-127:127>:f32:0, {2.378620e-03,2.848260e-03,2.545190e-03}>>, value = dense<10> : tensor<3x2xi8>} : () -> tensor<3x2x!quant.uniform<i8<-127:127>:f32:0, {2.378620e-03,2.848260e-03,2.545190e-03}>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0)