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Results 111 - 120 of 226 for f32 (0.02 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/basic.py
# CHECK: "tf_saved_model.global_tensor"() <{sym_name = "[[CONST:[a-zA-Z_0-9.]+]]", type = tensor<f32>, value = dense<4.300000e+01> : tensor<f32>}> {tf_saved_model.exported_names = [{{.*}}]} : () -> () # CHECK: "tf_saved_model.global_tensor"() <{is_mutable, sym_name = "[[VAR:[a-zA-Z_0-9]+]]", type = tensor<f32>, value = dense<4.200000e+01> : tensor<f32>}> {tf_saved_model.exported_names = ["v42"]} : () -> () # CHECK: func {{@[a-zA-Z_0-9]+}}(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/convert_func_to_bfloat16.mlir
func.func @reduce_window_f32(%arg0: tensor<2x3x1x3xf32>) -> tensor<2x3x1x3xf32> { // CHECK-NOT: f32 // CHECK: stablehlo.reduce_window %0 = stablehlo.constant dense<0.0> : tensor<f32> %1 = "stablehlo.reduce_window"(%arg0, %0) ({ ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>): %2 = stablehlo.maximum %arg1, %arg2 : tensor<f32> stablehlo.return %2 : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/nchw_convolution_to_nhwc.mlir
%0 = stablehlo.convolution(%arg0, %arg1) dim_numbers = [b, f, 0, 1]x[o, i, 0, 1]->[b, f, 0, 1], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x4x3x3x!quant.uniform<i8:f32, 1.000000e+0:-100>>, tensor<2x4x3x3x!quant.uniform<i8:f32:0,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 25 23:00:47 UTC 2024 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_bridge_v1/end_to_end.mlir
// CHECK-NOT: func @_func tf_executor.graph { %outputs, %control = tf_executor.island wraps "arith.constant"() {value = dense<2.000000e+00> : tensor<f32>} : () -> tensor<f32> %outputs_0, %control_1 = tf_executor.island wraps "arith.constant"() {value = dense<3.000000e+00> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/basic.mlir
// CHECK-NEXT: [[r2:%.*]] = tfrt_fallback_async.executeop {{.*}} "tf.Tanh"([[r1]]) {T = f32} %4 = "tf.Tanh"(%3) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "/device:CPU:0"} : (tensor<3x3xf32>) -> tensor<3x3xf32> // CHECK-NOT: tf.Identity %5 = "tf.Identity"(%4) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "/device:CPU:0"} : (tensor<3x3xf32>) -> tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/device_assignment_by_func_attr.mlir
// CHECK: device = "xpu" %1 = "tf.MatMul"(%arg0, %0) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "", transpose_a = false, transpose_b = false} : (tensor<3x1xf32>, tensor<1x3xf32>) -> tensor<3x3xf32> // CHECK: device = "cpu" %2 = "tf.Relu"(%1) {T = f32, _output_shapes = ["tfshape$dim { size: 3 } dim { size: 3 }"], device = "cpu"} : (tensor<3x3xf32>) -> tensor<3x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 10 00:30:05 UTC 2022 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/unfold_splat_constant_pass.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/fake_quant.mlir
// CHECK-NEXT: signature_defs: [ ] // CHECK-NEXT: } // IMPORT: "tfl.fake_quant"(%arg0) <{max = 1.400000e+00 : f32, min = 3.000000e-01 : f32, narrow_range = false, num_bits = 6 : i32}> %0 = "tfl.fake_quant"(%arg0) {num_bits = 6 : i32, narrow_range = false, min = 0.3:f32, max = 1.4:f32} : (tensor<4 x f32>) -> tensor<4 x f32> func.return %0 : tensor<4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ir/fallback_opt.mlir
%0 = corert.const_dense_tensor dense<0.0> : tensor<f32> // CHECK: tfrt_fallback_async.corert_tensorhandle_to_fallback_tensor %1 = tfrt_fallback_async.corert_tensorhandle_to_fallback_tensor %0 {_tfrt_cost = 1 : i64, device = "cpu"} : (!corert.tensorhandle) -> (!tfrt_fallback.tf_tensor) // CHECK: tfrt_fallback_async.executeop key(0) cost(100) device("cpu") "tf.Relu"(%{{.*}}) {T = f32} : 1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 11:03:04 UTC 2022 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h
// 8-bit integer and expressed type is f32. bool IsI8F32UniformQuantizedType(Type type); // Returns true iff `type` is a uniform quantized per-axis (per-channel) type // whose storage type is 8-bit integer and expressed type is f32. bool IsI8F32UniformQuantizedPerAxisType(Type type); // Returns true iff `type` is a uniform quantized type whose storage type is // 32-bit integer and expressed type is f32.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0)