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Results 1 - 8 of 8 for 100x28x28x1xf32 (0.23 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
explicit_paddings = [], padding = "VALID", strides = [1, 1, 1, 1], use_cudnn_on_gpu = true } : (tensor<4xi32>, tensor<3x3x1x32xf32>, tensor<100x26x26x32xf32>) -> tensor<100x28x28x1xf32> func.return %result : tensor<100x28x28x1xf32> } // ----- // CHECK-LABEL: @conv2d_backprop_input_grouped func.func @conv2d_backprop_input_grouped( %filter: tensor<2x2x5x21xf32>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_legacy.mlir
// CHECK: return %[[ADDV2_0]] : tensor<15x28x28x1xf32> } // CHECK-LABEL: conv2d_backprop_input_with_sub func.func @conv2d_backprop_input_with_sub(%arg0: tensor<4xi32>, %arg1: tensor<3x3x1x32xf32>, %arg2: tensor<15x14x14x32xf32>) -> tensor<15x28x28x1xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir
%1 = "tf.Const"() {value = dense<1.000000e+00> : tensor<1xf32>} : () -> tensor<1xf32> %2 = "tf.Sub"(%0, %1): (tensor<15x28x28x1xf32>, tensor<1xf32>) -> tensor<15x28x28x1xf32> func.return %2 : tensor<15x28x28x1xf32> // CHECK: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<1.000000e+00> : tensor<1xf32>}> : () -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/fetch_feed_names.mlir
// generated GraphDef to make sure the export is valid. module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 890 : i32}} { func.func @main(%arg0: tensor<100x28x28x3xf32> {}) -> (tensor<*xf32> {}) attributes {tf.entry_function = {control_outputs = "", inputs = "a:0", outputs = "conv2d_2/BiasAdd:0"}} { %0 = tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/nchw_convolution_to_nhwc.mlir
// CHECK-LABEL: convolution_3d func.func @convolution_3d(%arg0: tensor<1x4x28x28x1xf32>, %arg1: tensor<2x3x3x1x16xf32>) -> tensor<1x3x26x26x16xf32> { %0 = stablehlo.convolution(%arg0, %arg1) dim_numbers = [b, 0, 1, 2, f]x[0, 1, 2, i, o]->[b, 0, 1, 2, f], window = {} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<1x4x28x28x1xf32>, tensor<2x3x3x1x16xf32>) -> tensor<1x3x26x26x16xf32> return %0 : tensor<1x3x26x26x16xf32> }
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/tf_saved_model/keras.py
return model class TestModule(tf.Module): def __init__(self): super(TestModule, self).__init__() self.model = mnist_model() # CHECK: func {{@[a-zA-Z_0-9]+}}(%arg0: tensor<1x28x28x1xf32> {tf._user_specified_name = "x", tf_saved_model.index_path = [0]} # CHECK: attributes {{.*}} tf_saved_model.exported_names = ["my_predict"] @tf.function(input_signature=[ tf.TensorSpec([1, 28, 28, 1], tf.float32),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
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/order_by_dialect.mlir
%2:2 = "tf.IteratorGetNext"(%0) {_class = ["loc:@iterator"], device = ""} : (tensor<!tf_type.resource>) -> (tensor<200x28x28x1xf32>, tensor<200x10xf32>) // CHECK: tf.Iterator // CHECK: tf.MakeIterator // CHECK: tf.IteratorGetNext return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.6K bytes - Viewed (0)