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Results 11 - 20 of 22 for 1x4x4x3 (0.12 sec)
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tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir
func.func @CheckNumericVerifyWholeModel(%arg0: tensor<1x4x4x3xf32>) -> tensor<1x1x1x3xf32> { %0 = "tfl.quantize"(%arg0) {qtype = tensor<1x4x4x3x!quant.uniform<i8:f32, 0.1>>, volatile} : (tensor<1x4x4x3xf32>) -> tensor<1x4x4x3x!quant.uniform<i8:f32, 0.1>> %1 = "tfl.dequantize"(%0) : (tensor<1x4x4x3x!quant.uniform<i8:f32, 0.1>>) -> tensor<1x4x4x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
%0 = stablehlo.constant dense<3.000000e-01> : tensor<2x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-variables.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
func.return %%1 : tensor<1x4x4xf32> } })"; std::string mat_mul_method = absl::StrFormat(kMatMulModuleStr, test_case.mat_mul_method); TF_ASSERT_OK_AND_ASSIGN( XlaCompiler::CompilationResult result, CompileMlirModule( mat_mul_method.c_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/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir
%1 = "quantfork.dcast"(%0) : (tensor<2x3x3x2x!quant.uniform<i8:f32, 6.000000e-03:-128>>) -> tensor<2x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir
%2 = "quantfork.qcast"(%arg0) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>> %3 = "quantfork.dcast"(%2) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x4x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 33.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_weight_param.mlir
%cst = "tf.Const"() {value = dense<3.00000000e-1> : tensor<2x3x3x2xf32>} : () -> tensor<2x3x3x2xf32> %0 = "tf.XlaCallModule"(%arg0, %cst) { Sout = [#tf_type.shape<1x3x4x2>], dim_args_spec = [], disabled_checks = [], has_token_input_output = false, module = "", platforms = [], version = 5 : i64, _entry_function = @composite_conv_fn, _original_entry_function = "composite_conv_fn",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_xla.mlir
%0 = "quantfork.qcast"(%arg0) : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>> %1 = "quantfork.dcast"(%0) : (tensor<1x3x4x3x!quant.uniform<i8:f32, 0.0011764706057660721:-43>>) -> tensor<1x3x4x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 08 01:16:10 UTC 2024 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-binary-elementwise.mlir
%0 = "tf.AddV2"(%arg0, %arg1) : (tensor<1xi32>, tensor<1x2xi32>) -> tensor<1x2xi32> func.return %0: tensor<1x2xi32> } // CHECK-LABEL: func @broadcast_multi_dim_add // TODO(laurenzo): Change this to a (4x1x1 + 1x4x4x4) shaped add once upstream // broadcastable bug is fixed (helps make the CHECK matching unambiguous) func.func @broadcast_multi_dim_add(%arg0: tensor<4x1x1xi32>, %arg1: tensor<4x4x4x4xi32>) -> tensor<4x4x4x4xi32> {
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/tf2xla/tests/legalize-tf.mlir
// CHECK-NEXT: %[[CMP:.*]] = mhlo.compare GT, %[[INP:.*]], %[[ZERO]], NOTYPE : (tensor<1x4x4xf32>, tensor<1x4x4xf32>) -> tensor<1x4x4xi1> // CHECK-NEXT: %[[RES:.*]] = mhlo.select %[[CMP]], %[[GRADIENT]], %[[LEAKYGRAD]] : tensor<1x4x4xi1>, tensor<1x4x4xf32> // CHECK-NEXT: return %[[RES]] : tensor<1x4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)