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Results 1 - 10 of 13 for 3x2xi16 (0.1 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
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
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/tests/duplicate_shape_determining_constants.mlir
%3 = "tf.AddV2"(%rhs_dilation, %rhs_dilation) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32> %4 = "tf.AddV2"(%padding, %padding) {device = ""} : (tensor<3x2xi32>, tensor<3x2xi32>) -> tensor<3x2xi32> %5 = "tf.AddV2"(%strides, %strides) {device = ""} : (tensor<3xi32>, tensor<3xi32>) -> tensor<3xi32> return %0 : tensor<8x4x14x14x16xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 24 07:44:46 UTC 2022 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
// CHECK-SAME: -> tensor<3x2x!quant.uniform<i32:f32, 2.000000e+00:4>> // CHECK: %[[RES_INT:.*]] = mhlo.bitcast_convert %[[RES]] : (tensor<3x2x!quant.uniform<i32:f32, 2.000000e+00:4>>) -> tensor<3x2xi32> // CHECK: return %[[RES_INT]] : tensor<3x2xi32> %0 = "tf.UniformQuantizedAdd"( %arg0, %bias, %input_scales, %input_zps, %bias_scales, %bias_zps, %output_scales, %output_zps) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-binary-elementwise.mlir
func.func @equal_broadcast(%arg0: tensor<1xi32>, %arg1: tensor<1x2xi32>) -> tensor<1x2xi1> { // CHECK-DAG: %[[LHS_BCAST:.+]] = "mhlo.broadcast_in_dim"(%arg0) <{broadcast_dimensions = dense<1> : tensor<1xi64>}> // CHECK-NEXT: mhlo.compare EQ, %[[LHS_BCAST]], %arg1 %0 = "tf.Equal"(%arg0, %arg1) : (tensor<1xi32>, tensor<1x2xi32>) -> tensor<1x2xi1> func.return %0: tensor<1x2xi1> } // CHECK-LABEL: func @equal_broadcast_no_incompatible_shapes_error
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_op_with_region.mlir
// CHECK: %[[RESHAPE:.*]] = stablehlo.reshape %[[CALL]] // CHECK: %[[REDUCE:.*]] = "stablehlo.reduce_window"(%[[RESHAPE]], %[[Q0]]) // CHECK{LITERAL}: padding = dense<[[0, 0], [1, 1], [0, 0]]> : tensor<3x2xi64> // CHECK-SAME: window_dimensions = array<i64: 1, 3, 1> // CHECK: %[[ARG1:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>, %[[ARG2:.*]]: tensor<!quant.uniform<i8:f32, 3.000000e-01:1>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 18.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main() -> () { %cst0 = "tf.Const"(){ value = dense<0> : tensor<3x5xi1>} : () -> tensor<3x5xi1> %0 = "tf.Where"(%cst0) : (tensor<3x5xi1>) -> tensor<?x2xi64> func.return } })"; absl::StatusOr<XlaCompiler::CompilationResult> CompileMlirModule( const char* mlir_module_str,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/dilated-conv.mlir
} func.func @testPaddedDilatedConv(%arg0 : tensor<2x1920x64xf32>) -> tensor<2x1920x128xf32> { %0 = "tf.Const"() {value = dense<[[0, 0], [2, 0], [0, 0]]> : tensor<3x2xi32>} : () -> tensor<3x2xi32> %1 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32> %2 = "tf.Const"() {value = dense<2> : tensor<i32>} : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 44.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
func.func @transpose_2d_splat() -> tensor<3x2xi32> { %cst = arith.constant dense<0> : tensor<2x3xi32> %cst_perm = arith.constant dense<[1, 0]> : tensor<2xi32> // CHECK: %[[CST:.*]] = arith.constant dense<0> : tensor<3x2xi32> // CHECK: return %[[CST]] %0 = "tfl.transpose"(%cst, %cst_perm) : (tensor<2x3xi32>, tensor<2xi32>) -> tensor<3x2xi32> func.return %0 : tensor<3x2xi32> } // CHECK-LABEL: @transpose_2d_identity
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0)