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Results 31 - 40 of 66 for 69xi32 (3.08 sec)
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tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/derived_shape_attr.mlir
%0:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<0> : tensor<10xi32>} : () -> tensor<10xi32> %1:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<0> : tensor<i32>} : () -> tensor<i32> %2:2 = tf_executor.island wraps "tf.PlaceholderWithDefault"(%1#0) {type = i32} : (tensor<i32>) -> tensor<*xi32> loc("unranked")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/fused_kernel_matcher.mlir
// CHECK-LABEL: matmulBiasAdd func.func @matmulBiasAdd(%arg0: tensor<64xf32>, %arg1: tensor<8x32xf32>, %arg2: tensor<32x64xf32>) -> (tensor<*xf32>) { // CHECK: %[[VAL_3:.*]] = "tf._FusedMatMul"(%arg1, %arg2, %arg0) <{epsilon = 0.000000e+00 : f32, fused_ops = ["BiasAdd"], transpose_a = false, transpose_b = false}> : (tensor<8x32xf32>, tensor<32x64xf32>, tensor<64xf32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%b = arith.constant dense<-1.23697901> : tensor<64xf32> %conv = "tfl.conv_2d"(%0, %w, %b) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x224x224x3xf32>, tensor<64x3x3x3xf32>, tensor<64xf32>) -> tensor<1x112x112x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/graph_with_placeholder_with_default.pbtxt
# CHECK-LABEL: func @main # CHECK-SAME: ([[VAL_0:%.*]]: tensor<1x8x8x2xi32>) -> (tensor<1x8x8x2xi32>, tensor<i32>, tensor<10xi32>) # CHECK-SAME: control_outputs = "" # CHECK-SAME: inputs = "unranked" # CHECK-SAME: outputs = "unranked,static,static_10" # CHECK-DAG: [[VAL_2:%.*]] = arith.constant dense<0> : tensor<10xi32> # CHECK-DAG: [[VAL_1:%.*]] = arith.constant dense<0> : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 13 16:33:28 UTC 2021 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/verify-tfxla-legalization-no-chlo.mlir
// version. // CHECK-LABEL: allows_chlo func.func @allows_chlo(%arg0: tensor<1x32x10x32xi32>, %arg1: tensor<32xi32>) -> tensor<1x32x10x32xi32> { %0 = "chlo.broadcast_add"(%arg0, %arg1) {broadcast_dimensions = array<i64: 3>} : (tensor<1x32x10x32xi32>, tensor<32xi32>) -> tensor<1x32x10x32xi32> func.return %0 : tensor<1x32x10x32xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 30 22:07:53 UTC 2024 - 694 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/output-shapes-attr.mlir
func.func private @simple_callee(%arg0: tensor<2xi32>) -> tensor<2xi32> { %graph = tf_executor.graph { tf_executor.fetch %arg0 : tensor<2xi32> } func.return %graph#0 : tensor<2xi32> } // Test with a TPUPartitionedCallOp that is not inlined. func.func @dont_inline_tpu_partitioned_call(%arg0: tensor<2xi32> {tf._user_specified_name = "inputs_0"}, %arg1: tensor<2xi32> {tf._user_specified_name = "inputs_1"}) -> tensor<2xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 3.4K bytes - Viewed (0) -
src/cmd/compile/internal/test/testdata/arith_test.go
minI32 + 17, minI32 + 18, minI32 + 19, minI32 + 20, maxI32, maxI32 - 1, maxI32 - 2, maxI32 - 3, maxI32 - 4, maxI32 - 5, maxI32 - 6, maxI32 - 7, maxI32 - 8, maxI32 - 9, maxI32 - 10, maxI32 - 11, maxI32 - 12, maxI32 - 13, maxI32 - 14, maxI32 - 15, maxI32 - 16, maxI32 - 17, maxI32 - 18, maxI32 - 19, maxI32 - 20, minI64, minI64 + 1, minI64 + 2, minI64 + 3, minI64 + 4,
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Dec 01 19:30:59 UTC 2023 - 43.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
func.func @main( %arg0: tensor<10x10xf32>, %scale: tensor<10xf32>, %zp: tensor<10xi32> ) -> tensor<10x10xi8> { %0 = "tf.UniformQuantize"(%arg0, %scale, %zp) { quantization_axis = 1 : i64, quantization_min_val = -128 : i64, quantization_max_val = 127 : i64 } : (tensor<10x10xf32>, tensor<10xf32>, tensor<10xi32>) -> tensor<10x10x!tf_type.qint8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/verify_clustering_pass_test.mlir
func.func @testNotTfDialect(%arg0: tensor<1x32x10x32xi32>, %arg1: tensor<32xi32>) -> tensor<1x32x10x32xi32> { // expected-error@below {{op is in dialect chlo not in tf functional dialect}} %0 = "chlo.broadcast_add"(%arg0, %arg1) {broadcast_dimensions = array<i64: 3>} : (tensor<1x32x10x32xi32>, tensor<32xi32>) -> tensor<1x32x10x32xi32> func.return %0 : tensor<1x32x10x32xi32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 30 22:07:53 UTC 2024 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/partial-device-name.pbtxt
attr { key: "dtype" value { type: DT_INT32 } } } versions { producer: 27 } # CHECK-LABEL: func @main # CHECK-SAME: (%[[ARG_0:[a-z0-9]+]]: tensor<10xi32>, %[[ARG_1:[a-z0-9]+]]: tensor<10xi32>) -> tensor<*xi32> # CHECK-SAME: control_outputs = "" # CHECK-SAME: inputs = "input0,input1" # CHECK-SAME: outputs = "Sub"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 26 20:48:36 UTC 2021 - 1.8K bytes - Viewed (0)